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analytics engineer

consultant | data engineer Jobs in Amsterdam

consultant | data engineer

data & ml infrastructure engineer Jobs in Amsterdam

data & ml infrastructure engineer

data analyst / analytics engineer Jobs in Amsterdam

data analyst / analytics engineer

data analytics specialist

ABN AMRO

<div>Data Scientist - AI Strategy Team<div><div><div><h2 class="jobSectionHeader"><b>
At a glance</b></h2></div><div><p>
Are you ready to use your Data Science skills to make a real impact in the Finance &amp; Risk Data Domain? Do you thrive on Python, GenAI, Spark, Databricks, ML and Azure? If so, then the role of Data Scientist in the Common Data team is an interesting position for you and we&rsquo;d love to meet you!</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Your job</b></h2></div><div><ul><li>
You don&rsquo;t just build smart AI solutions, you shape the future of how we work.</li><li>
You spot opportunities before others do, experiment iteratively, involve stakeholders from the start, and turn promising ideas into valuable, scalable (Gen)AI products.</li><li>
We run several (Gen)AI applications, from data quality optimization models to automated reporting and signalling clients in distress, all used daily by colleagues across the organization.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Working environment</b></h2></div><div><p>
The Finance &amp; Risk Data Domain is part of Finance &amp; Risk Business Grids (F&amp;RBG), and plays an active role for all the Finance and Risk departments. We employ 200+ international professionals with different backgrounds who are driven to bring risk data management to a structurally higher level. Our aim is to generate reliable risk data on time. We do this by improving the risk data itself, data systems and data processes. We work with an Agile operating model. Our Finance and Risk Data Domain consists of 7 departments where the atmosphere is dynamic, open and informal.</p><p></p><p><br>
You are part of the AI Strategy Team in the Centre of Expertise Advanced Analytics &amp; Artificial Intelligence department. You will report to the Business Lead CoE AA &amp; AI.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Your profile</b></h2></div><div><p>
You have an interest and experience in AA &amp; AI. You are a passionate, hard-working professional with an eye for details. You are able to execute assignments independently as well as interact directly with stakeholders when it comes to day-to-day matters.</p><p></p><p><br>
Do you think you fit in with us? Check your profile:</p><p></p><p><br>
You are a curious, pragmatic developer with 3+ years of experience in Data Science or AI Engineering. You:</p><ul><li>
Translate business challenges into workable AI models effortlessly and explain complex topics with clarity and impact</li><li>
Enjoy working in multidisciplinary teams and are confident collaborating with (senior) stakeholders</li><li>
Have a learning mindset with a willingness to continue to grow and a broad interest in a variety of data science topics</li><li>
Are pragmatic and look for the simplest solution first</li><li>
Take ownership of your work and work in a structured way</li><li>
Have hands‑on experience with Python, Spark, SQL, Databricks, Azure, basic ML-models, pipeline structuring and optimization techniques</li><li>
You are capable of giving and asking for feedback.</li><li>
You have worked in and/or with Scrum/DevOps teams.</li><li>
Excellent oral and written communication skills in English with strong stakeholder management skills.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
We are offering</b></h2></div><div><p>
There are plenty of career opportunities to grow personally and professionally, which mainly depend on your own ambitions and interests.</p><p></p><p><br>
In addition, we offer:</p><ul><li>
The Benefit Budget is 11% of your salary. The Benefit Budget allows you to acquire additional employment benefits. If you make no purchases or reservations in the Benefit Shop in a given month, you are paid one twelfth of your Benefit Budget that month.</li><li>
Five weeks of vacation per year. You have the option to purchase an additional four weeks per year.</li><li>
Personal development Budget of &euro; 1,000 per year, which you can accumulate up to &euro; 3,000.</li><li>
Possibility to work from home (in consultation with your team and depending on your position).</li><li>
An annual public transport pass with free public transportation throughout the Netherlands.</li><li>
An excellent pension scheme.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Interested?</b></h2></div><div><p>
Do not hesitate to approach us for more details, or apply directly! For more information contact Nasim Mehrshid, Business Lead CoE AA&amp;AI, via email: nasim.mehrshid@nl.abnamro.com. We look forward to meeting you!</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Your Future: Inclusive, Innovative, Sustainable</b></h2></div><div><p>
At ABN AMRO, we believe in &quot;<b>Banking for better, for generations to come.</b>&quot; Equal opportunities for everyone are a crucial foundation, as we strive for an inclusive culture where all employees feel seen, heard, and valued. Our vision of <b>being a personal bank in the digital age</b> aligns perfectly with the demand for surprising insights and innovative solutions, born from a diverse interplay of cultures and experiences. We focus on customer experience, sustainability, and building a future-proof bank, conducting annual reviews to ensure equal pay for equal work. Join a bank that embraces ingenuity and ambition, and make an impact with us for a better future.</p><p></p><p><i><br>
If you want to apply for the B-Able or Reboot program, make sure to mention it both in the title and the content of your resume.</i></p></div></div><div><div><h2 class="jobSectionHeader"><b>
Disclaimer external recruitment agencies</b></h2></div><div><p>
External recruitment agencies need to have a signed agreement with ABN AMRO BANK N.V., executed by a Talent Acquisition Specialist, when submitting a resume to a vacancy. No unsolicited services or offers, please.</p></div></div></div></div>

Data Scientist - AI Strategy Team

Insify

<div>
 <strong>
  About Insify
  <br/>
 </strong>
 We are a high-growth scale-up backed by &euro;43M in total funding from world-class investors like Accel, Munich Re Ventures, and Formula 1 champion Nico Rosberg. While we started our journey five years ago in the Netherlands, we have since expanded into France and Germany, and we&rsquo;re just getting started. Our mission is to dominate the European market and become a global leader in AI-powered SME insurance.
 <br/>
 <br/>
 We aren't just building a company; we&rsquo;re leading a revolution. Our culture is intense, high-stakes, and mission-driven. We hire smart, ambitious "owners" who possess a relentless drive to win. This is an environment for those who thrive on challenges, value intellectual honesty, and share our mindset of becoming a global category leader.
 <br/>
 <br/>
 Our founding team consists of seasoned entrepreneurs who have previously built iconic businesses like HelloFresh, Bloomon, and SumUp. We combine that deep fintech and e-commerce expertise with cutting-edge AI to stay ahead of the curve.
 <br/>
 <br/>
 We're looking for a highly motivated
 <strong>
  Analytics Engineer
 </strong>
 who will work closely with Product and Insurance departments to bring instant, tailored and affordable financial safety products to entrepreneurs.
 <br/>
 <br/>
 <strong>
  What you'll be up to (some examples):
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Define and calculate KPIs for product and feature launches to track our trajectory toward 10x simplicity
  </li>
  <li>
   Identify opportunities and provide data-driven recommendations that influence our roadmap
  </li>
  <li>
   Answer analytical questions and analyse A/B tests to ensure we draw the right conclusions from every experiment
  </li>
  <li>
   Create and maintain interactive dashboards (using Databricks and QuickSight) for real-time metrics monitoring
  </li>
  <li>
   Contribute to the data transformation code base (using dbt and Git) to ensure our data infrastructure is as modern as our software
  </li>
  <li>
   Own outcomes within your scope &mdash; from problem definition to delivery
  </li>
  <li>
   Operate in ambiguity and make decisions without perfect information
  </li>
  <li>
   Collaborate closely with colleagues across functions to bridge the gap between "the floor" and "the lab."
  </li>
  <li>
   Improve how we work by spotting inefficiencies in our data workflows and proposing better ways
  </li>
  <li>
   Balance speed and quality in a fast-moving environment
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  This role is a strong fit if you:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Have excellent SQL skills: You can calculate any metric in a readable and efficient way
  </li>
  <li>
   Are proficient with dashboarding and code tools: You have experience with tools like Databricks, QuickSight, and Git to organise your work
  </li>
  <li>
   Understand the "Why": You have a strong grasp of Statistics and A/B testing to draw meaningful conclusions
  </li>
  <li>
   Possess a growth mindset: You have a passion for continuous learning and seeking feedback to drive personal growth
  </li>
  <li>
   Take ownership naturally: You don&rsquo;t wait for perfect instructions and thrive in the "grey area"
  </li>
  <li>
   Can turn messy problems into clear, actionable plans: You are hyper-organised and process-obsessed
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  This role is not for you if:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You are looking for a strict 40-hour work week
  </li>
  <li>
   You need fully defined scopes and stable priorities to perform well
  </li>
  <li>
   You prefer staying high-level and avoiding hands-on execution
  </li>
  <li>
   You expect long ramp-up periods before taking ownership
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We offer:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive compensation that reflects responsibility and impact
  </li>
  <li>
   Trust and autonomy: you&rsquo;ll have real ownership and room to make decisions Space to grow and shape your role as Insify evolves
  </li>
  <li>
   A steep learning curve, with support from experienced teammates
  </li>
  <li>
   The opportunity to share in what we&rsquo;re building, with equity for eligible roles once there&rsquo;s mutual conviction on fit and impact
  </li>
  <li>
   A welcoming, central Amsterdam HQ where we work closely together: shared lunches, dogs in the office, whiteboards, and fun end-of-week drinks
  </li>
  <li>
   An international, ambitious team that enjoys building meaningful things together
   <br/>
   <br/>
  </li>
 </ul>
</div>


Data Analyst / Analytics Engineer

Booking.com

<div>Role Description:
<p><b>
About Us: </b>At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We&rsquo;re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.</p><p></p><p><b><br>
Team overview:</b></p><p>
This opening is for the Content Intelligence team within the Marketplace Business Unit at Booking.com. The Content Intelligence team is at the forefront of <b>Generative AI innovation</b>, driving solutions for travel-related chatbots, text generation and summarization applications, Q&amp;A systems, and free-text search. Beyond this, the team is building a cutting-edge platform that processes millions of images and textual inputs daily, enriching them with ML capabilities. These enriched datasets power downstream applications, helping personalize the customer experience&mdash;for example, selecting and displaying the most relevant images and reviews as customers plan and book their next vacation.</p><p></p><p><b><br>
Role Description:</b></p><p>
As a Data Engineer, you&rsquo;ll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects&mdash;ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.</p><p>
You&rsquo;ll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.</p><p></p><p><b><br>
Key Job Responsibilities and Duties:</b></p><ul><li>
Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.</li><li>
Dealing with massive textual sources to <b>train GenAI foundation models.</b></li><li>
Solving issues with data and data pipelines, prioritizing based on customer impact.</li><li>
End-to-end ownership of data quality in our core datasets and data pipelines.</li><li>
Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.</li><li>
Providing tools that improve Data Quality company-wide, specifically for ML scientists.</li><li>
Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.</li><li>
Acting as an intermediary for problems, with both technical and non-technical audiences.</li><li>
Promote and drive impactful and innovative engineering solutions</li><li>
Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation</li><li>
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.</li></ul><p><b>
Qualifications &amp; Skills:</b></p><ul><li>
Bachelor&rsquo;s or master&rsquo;s degree in computer science or Engineering</li><li>
Minimum of 3 years of experience as a Data Engineer or a similar role, with a consistent record of successfully delivering ML/Data solutions.</li><li>
You have built production data pipelines in the cloud, setting up data-lake and server-less solutions, specifically to support <b>building ML models</b></li><li>
Required hands-on experience with schema design and data modeling and working with ML scientists and ML engineers to provide<b> production level ML solutions</b></li><li>
You have experience designing systems E2E and knowledge of basic concepts (lb, db, caching, NoSQL, etc)</li><li>
Strong programming skills in languages such as Python and Java.</li><li>
Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.</li><li>
Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.</li><li>
Experience with Data Warehousing and ETL/ELT pipelines</li><li>
Experience in data processing for large-scale language models like GPT, BERT, or similar architectures - an advantage.</li><li>
Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib - an advantage.</li><li>
Experience with experimental design, A/B testing, and evaluation metrics for ML models - an advantage.</li><li>
Experience of working on products that impact a large customer base - an advantage.</li><li>
Excellent communication in English; written and spoken.</li></ul><p><b>
Benefits &amp; Perks - Global Impact, Personal Relevance:</b></p><p></p><p><br>
Booking.com&rsquo;s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:</p><ul><li>
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave</li><li>
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)</li><li>
Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit</li></ul><p><b>
Diversity, Equity and Inclusion (DEI) at Booking.com:</b></p><p>
Diversity, Equity &amp; Inclusion have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.</p><p></p><p><br>
Take it from our Chief People Officer, Paulo Pisano: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo;</p><p></p><p><br>
We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.</p><p></p><p><b><br>
Application Process:</b></p><ul><li>
Let&rsquo;s go places together: How we Hire</li><li><b>
This role does not come with relocation assistance.</b></li></ul><p>
Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.</p></div>

Data Engineer II - Content Intelligence (ML)

<div>Role Description:
<p>
At Booking.com, data drives our decisions. Technology is at our core and innovation is everywhere. But our company is more than just datasets, lines of code or A/B tests. We&rsquo;re the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journey you take. The sights you see and the food you sample. Through our products, partners and people, we can empower everyone to experience the world.</p><h1 class="jobSectionHeader"><b>
B. Data Teams</b></h1><p>
The Data team's responsibilities include data platforms, warehousing, enrichment and machine learning functionality, enabling teams across the organisation to understand and manage our business performance and improve the experience of our customers. You will be responsible for delivering products that advance data excellence and innovation within your product team, and across the business, helping us shape Booking.com&rsquo;s data journey.</p><h2 class="jobSectionHeader"><b>
Platform Team</b></h2><p>
The Platform team is responsible for creating , developing and maintaining a robust data platform and integrations in/out of it. In conjunction with our colleagues across Booking.com, the team is embarking on an ambitious modernisation programme focusing not just on infrastructure transition to the cloud but a complete overhaul of data ingestion, quality, security and governance. Providing a platform as a service is our goal.</p><h2 class="jobSectionHeader"><b>
Data Enablement Teams</b></h2><p>
Using the ecosystem our platform team have created, our Data Enablement teams work closely with teams across the business to ensure that data is ingested, transformed and enriched into secure, high quality, well governed consumption layers. Our customers are anyone from Finance to Marketing and everyone in between. Again all these teams are engaged in our data modernisation programme which will transform how data is produced, managed, and analysed to make great decisions that grow our business inline with our ambitious goals.</p><h2 class="jobSectionHeader"><b>
Flights Data Enablement Team</b></h2><p>
This Data Engineering team is focussed on Flights data at Booking. We are building new products for creating, maintaining, and presenting flights data using the Booking Data Exchange (BDX) platform. We enable our analysts and product teams to make data-driven decisions about product improvements, streamline their processes, and build a deeper understanding of their systems.</p><h1 class="jobSectionHeader"><b>
B. Responsible</b></h1><p>
As a Data Engineer, you&rsquo;ll join to work alongside curious, energetic, and focused people. You are responsible for delivering our vision to create a fully integrated, scalable, high performance and compliant data platform and pipelines. You&rsquo;ll help roadmap and deliver replacements for the current ad-hoc data solutions with strong foundations built on modern technologies and practices that will make it easy to produce large quantities of high quality data for consumption and analysis. We expect you to actively contribute to team discussion with questions, have and share opinions and align behind decisions when made as if they were your own.</p><h3 class="jobSectionHeader"><b>
You Will:</b></h3><ul><li><p>
Iteratively develop next-generation scalable, reliable, flexible, high-performance data pipeline capabilities and data platforms.</p></li><li><p>
Use standardised tooling and procedures to work with business users to model and implement data pipelines which are performant, scalable, reliable, secure, well governed with required observability.</p></li><li><p>
Engage with other teams as needed to achieve business objectives.</p></li></ul><ul><li><p>
End-to-end ownership of data quality in our core datasets and data pipelines.</p></li><li><p>
Engage with other teams to help them identify and resolve data quality issues.</p></li><li><p>
Be responsible for maintaining data quality, security, integrity and governance by effectively following regulatory requirements, company standards, and best practices</p></li><li><p>
Adhere to the defined principles for architecture, quality and non-functional requirements.</p></li></ul><ul><li><p>
Proactively help colleagues grow professionally, taking a significant role in on-boarding and mentoring new team members.</p></li><li><p>
Continuously improve services you own, making them more performant, and utilising resources in the most optimised way.</p></li><li><p>
Ensure that products / services are always kept up to date with the latest technology standards and company guidelines.</p></li><li><p>
Ensuring that service level agreements are met by implementing tests and processes.</p></li><li><p>
Perform profiling to find bottlenecks and optimise performance, and ensure that performance metrics are set up and monitored for product health.</p></li><li><p>
Be able to connect business and product goals to complex technical tasks.</p></li><li><p>
Solve issues by prioritising; on customer impact and perform root cause analysis to find ways to prevent recurrence.</p></li><li><p>
Contribute to Booking.com&rsquo;s growth through interviewing, on-boarding and other recruitment efforts.</p></li><li><p>
Be working in an agile environment and expect to contribute towards your team's ways of working.</p></li><li><p>
Be expected to provide out of hours support on a rota.</p></li></ul><h1 class="jobSectionHeader"><b>
B. Skilled</b></h1><p>
We expect our Data Engineers to have a strong foundation in Big Data Engineering to help them deliver resilient, scalable data pipelines and solutions that support our customers analysis and machine learning needs.</p><p></p><p><br>
We are looking for driven Data Engineers who enjoy solving problems, are proactive, collaborative and goal orientated. Who are communicative and believe that any challenge can be scaled with the right mindset, collaboration and tools.</p><h3 class="jobSectionHeader"><b>
Requirements:</b></h3><ul><li><p>
3+ years of experience of designing, building, and optimising Data Lakes/Warehouses in databases such as Snowflake, Redshift, BigQuery, etc.</p></li><li><p>
2+ years of experience in a scripting language like Python or Scala.</p></li><li><p>
1+ years of experience in Streaming, using Kafka</p></li><li><p>
Driving the implementation of reliable and well trusted metrics defined by the business, connecting disparate datasets into unified data products in the Lakehouse and/or Data Warehouse.</p></li><li><p>
Producing curated, reusable analytical data products to enable self-serve analytics for many internal customers across departments.</p></li><li><p>
Modeling data following best practices and Data Warehousing methodologies such as Data Vault and (Kimball) Dimensional modeling.</p></li><li><p>
Self motivated to explore new technologies.</p></li><li><p>
Excellent communication skills - being able to effectively communicate to both technical and non-technical stakeholders.</p></li><li><p>
Excellent attention to detail.</p></li><li><p>
Be a &lsquo;Self Starter&rsquo; and highly motivated team player.</p></li><li><p>
Have a &lsquo;root cause analysis&rsquo; mindset to problem and issue resolution. Is able to break down complex problems and find solutions by using logical and analytical thinking.</p></li><li><p>
Fully comfortable working in English, both written and spoken.</p></li></ul><h3 class="jobSectionHeader"><b>
Bonus Points For:</b></h3><ul><li><p>
Experience with Airflow, Snowflake, pySpark.</p></li><li><p>
Experience working in a Data Governance L3 environment</p></li><li><p>
Experience with AWS.</p></li><li><p>
Passionate about test automation</p></li><li><p>
You have an intrinsic curiosity in technological innovations and you are always on top of the latest trends.</p></li></ul><p></p><p><br>
Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.</p><p></p><p><br>
Booking.com&rsquo;s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:</p><ul><li><p>
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave</p></li><li><p>
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)</p></li><li><p>
Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit</p></li></ul><p></p><p><b><br>
Inclusion at Booking.com:</b></p><p></p><p><br>
Inclusion has been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.</p><p></p><p><br>
Take it from our Chief People Officer, Paulo Pisano: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo;</p><p></p><p><br>
We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.</p><p></p><p><b><br>
Application Process:</b></p><p>
This section should provide:</p><ul><li><p>
Let&rsquo;s go places together: How we Hire</p></li><li><p>
This role does not come with relocation assistance.</p></li></ul></div><p></p>

Data Analytics Engineer II

Vinted

<div>
 <strong>
  Brief Info About Vinted
  <br/>
  <br/>
 </strong>
 Our mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved clothing and lifestyle items, giving each piece a second life &ndash; or even a third.
 <br/>
 <br/>
 The Vinted Group is made up of three business units that support this mission:
 <br/>
 <br/>
 <strong>
  Vinted Marketplace
 </strong>
 is Europe&rsquo;s leading platform for second-hand fashion and a go-to destination for all kinds of pre-loved items, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life.
 <br/>
 <br/>
 <strong>
  Vinted Go
 </strong>
 enhances the shipping experience with a vast network of over 500,000 pick-up and drop-off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high-value pieces.
 <br/>
 <br/>
 <strong>
  Vinted Pay
 </strong>
 is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members.
 <br/>
 <br/>
 Founded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania's first unicorn! Today, our headquarters remain in Vilnius, and we've grown with offices across Europe, supported by a team of over 2,000 people.
 <br/>
 <br/>
 <strong>
  Information About The Position
  <br/>
  <br/>
 </strong>
 Vinted&rsquo;s
 <strong>
  Marketing domain
 </strong>
 is growing - we&rsquo;re on a mission to make Vinted known and loved as the go-to destination for everything second-hand. Marketing is one of the primary drivers behind our biggest strategic goals, from
 <strong>
  winning the USA market
 </strong>
 to expanding beyond fashion into a
 <strong>
  multi-vertical platform
 </strong>
 .
 <br/>
 <br/>
 We&rsquo;re looking for 2 x
 <strong>
  Data Scientists
 </strong>
 to join our
 <strong>
  Marketing Modelling Intelligence
 </strong>
 team to hands-on build, refine, and scale our core predictive and explanatory models. In this role, you will be the technical engine behind our Bayesian Media Mix Models (MMM), user value machine learning models, and advanced statistical frameworks. Your focus will be on engineering robust, high-performing models that transform complex data into the precise insights our domain relies on.
 <br/>
 <br/>
 <strong>
  In this position, you&rsquo;ll
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Evolve Our Marketing Measurement: Code, calibrate, and scale our Bayesian Media Mix Models (MMM) and ROI frameworks to unlock precise business insights.
  </li>
  <li>
   Build and Deploy Core Models: Build and maintain sophisticated econometric and statistical models (MMM, GMV, engagement) to quantify marketing impact and guide multi-channel growth.
  </li>
  <li>
   Automate Model Validation &amp; Health Monitoring: Design automated frameworks and reliability metrics that continuously monitor model health and ensure long-term accuracy.
  </li>
  <li>
   Build Next-Gen, Automated Capabilities: Drive the ambition toward intelligent data products [such as self-healing MMMs] using modern AI and automation to optimize model runtimes and scale our ecosystem as Vinted grows.
  </li>
  <li>
   Partner Decision Scientists &amp; Marketing Leadership: Act as the core technical partner, translating complex mechanics into clear concepts and helping the team connect model outputs to robust business decisions.
  </li>
  <li>
   Champion Modelling Excellence: Maintain a high bar for code quality, rigorous validation, and reproducibility to ensure our data science practices remain clean and trusted.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven Data Science Experience: Hands-on experience focused on advanced statistical, econometric, or time-series modelling (experience in marketing measurement/MMM is an advantage).
  </li>
  <li>
   Deep Theoretical Knowledge: Strong foundation in advanced statistics, causal inference, and regression. Familiarity with probabilistic programming (e.g., PyMC) is a major plus.
  </li>
  <li>
   Research-to-Application Mindset: Ability to read scientific papers, explore state-of-the-art techniques, and replicate or adapt advanced methodologies to solve complex problems.
  </li>
  <li>
   Production-Grade Engineering: Highly proficient in Python, with a passion for building models as data products. You design your pipelines and code so they are modular, reproducible, and easily used or extended by other scientists.
  </li>
  <li>
   Business-Minded Tech Partner: You care deeply about the why behind your code, naturally connecting technical model outputs to commercial metrics and business outcomes.
  </li>
  <li>
   Educational Background: A Master&rsquo;s or PhD degree in a highly quantitative discipline (Statistics, Econometrics, Mathematics, Data Science, or similar).
  </li>
  <li>
   Impactful storyteller: A charismatic and confident presenter who navigates any topic&rsquo;s technicality, actively driving and facilitating strategic business conversations across both technical and leadership audiences.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Work perks
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   The opportunity to benefit from our share options programme
  </li>
  <li>
   25 days of paid annual leave
  </li>
  <li>
   Newest MacBook models
  </li>
  <li>
   Confidential Employee Assistance Program (EAP) for you and your family
  </li>
  <li>
   Frequent team-building events
  </li>
  <li>
   Home office support: we provide IT workstation equipment and a personal budget of up to &euro;540 for home workplace furniture
  </li>
  <li>
   Lunch benefit per working day
  </li>
  <li>
   Access to a discounted gym membership plan
  </li>
  <li>
   A personal monthly budget for shopping on Vinted
  </li>
  <li>
   Collective Defined Contribution Pension plan
  </li>
  <li>
   NS Business Card for your commute to the office by public transport
  </li>
  <li>
   The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation
  </li>
  <li>
   A dog-friendly office
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Working at Vinted
  <br/>
  <br/>
 </strong>
 <strong>
  Individual Learning Budget
  <br/>
  <br/>
 </strong>
 We invest in your professional growth! As part of our commitment to continuous learning, we offer an annual learning budget to support your personal and career development through courses, certifications, workshops and more.
 <br/>
 <br/>
 <strong>
  Hybrid Work
  <br/>
  <br/>
 </strong>
 We&rsquo;ve adopted a hybrid workplace model where 2 days in the office are recommended but not enforced. It&rsquo;s up to you and your team to decide on the exact days you&rsquo;ll spend working together in person.
 <br/>
 <br/>
 <strong>
  Equal Opportunity
  <br/>
  <br/>
 </strong>
 The Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging. We welcome applications from people of all backgrounds, identities and life experiences. At Vinted, all applicants are treated fairly without regard to their race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability, or any other protected characteristic.
 <br/>
 <br/>
 The annual gross salary range for this position is:
 <br/>
 <br/>
 &euro;53.900&mdash;&euro;91.500 EUR
</div>


Data Scientist, Marketing Modelling Intelligence

Databricks

<div><p>SLSQ327R348</p>
<p>Databricks is seeking a <b>Lakebase Sales Specialist </b>to help customers modernise their operational data foundation with <b>Databricks Lakebase</b>, our <b>fully-managed Postgres</b> offering for <b>intelligent applications</b>. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.</p>
<p>Lakebase gives customers a unified, governed foundation for <b>operational workloads</b> and <b>AI-native applications</b>, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.</p>
<p><b>The impact you will have:</b></p>
<ul><li><b>Drive new Lakebase revenue</b> by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team</li>
<li><b>Lead with outcomes</b> for key Lakebase personas, including <b>platform teams and developers</b>, <b>data teams</b>, and <b>central IT,</b> articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency</li>
<li><b>Sell the value of fully-managed Postgres for intelligent applications</b>, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences</li>
<li><b>Run complex sales cycles</b> from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders</li>
<li><b>Orchestrate proof-of-value and POCs</b> that validate Lakebase&rsquo;s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists</li>
<li><b>Compete and win</b> against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references</li>
<li><b>Align to measurable business outcomes</b> such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape</li>
<li><b>Partner cross-functionally</b> with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs</li>
<li><b>Enable the field</b> by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organisation</li>
</ul><p><b>What success looks like in this role:</b></p>
<p>This role requires the ability to operate across <b>two key motions</b> simultaneously:</p>
<ul><li><b>Establish top strategic focus accounts</b> by engaging application development teams to create net-new intelligent applications leveraging Lakebase</li>
<li><b>Drive longer-term Postgres standardisation and migration</b> within Databricks' most strategic accounts</li>
</ul><p>Success in this role requires strength in four areas:</p>
<div><ul><li><b>Business ownership: </b>Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.</li></ul>
<ul><li><b>Strategic account engagement: </b>Partner with account teams to engage priority accounts, driving strategic opportunities from initial engagement through successful outcomes.</li></ul>
<ul><li><b>Field, account, &amp; customer enablement: </b>Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention.</li></ul>
<ul><li><b>Market voice and thought leadership:</b> Develop an internal and external presence, and by representing Databricks at key first- and third-party events.</li></ul>
</div><p>The interview process is designed to evaluate candidates across all four of these dimensions.</p>
<p><b>What we look for:</b></p>
<ul><li><b>Relevant enterprise sales experience</b>, consistently exceeding quota in complex, multi-stakeholder deals</li>
<li>Proven success selling <b>data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure</b> to technical buyers and business leaders</li>
<li>Strong understanding of <b>modern data and application architectures</b>, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies</li>
<li>Ability to sell to both <b>technical stakeholders</b> (developers, architects, data engineers) and <b>business stakeholders</b> (product leaders, operations, line-of-business owners)</li>
<li>Demonstrated experience leading <b>specialist or overlay motions</b>, working jointly with core Account Executives to create and progress opportunities</li>
<li>Executive presence with the ability to <b>whiteboard architectures</b>, lead C-level conversations, and build trust with senior decision makers</li>
<li>Strong <b>value selling</b> skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes</li>
<li>Excellent <b>communication, storytelling, and negotiation</b> skills, with comfort presenting to both large and small audiences</li>
<li>Bachelor&rsquo;s degree</li>
</ul><p><b>Preferred qualifications</b></p>
<ul><li>Experience selling <b>Postgres, operational databases, OLTP workloads, or transactional cloud database services</b>, ideally within large or strategic accounts</li>
<li>Familiarity with <b>data platforms, lakehouse architectures, and cloud ecosystems</b> (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies</li>
<li>Understanding of <b>reverse ETL, real-time decisioning, and operational analytics</b> use cases, and how they drive value for customer-facing and internal applications</li>
<li>Exposure to <b>AI-native and agent-driven applications</b> that depend on low-latency, highly scalable operational data services</li>
<li>Prior experience in a <b>high-growth, category-creating environment</b>, helping shape new plays, messaging, and customer narratives</li>
<li>Experience collaborating with <b>partners and ISVs</b> to drive joint pipeline and co-sell motions</li>
</ul><p><i>This description is intended to outline the core responsibilities and qualifications for the Lakebase Sales Specialist role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature.</i></p><p><br>
</p><div><p><b>About Databricks</b></p>
<p>Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
<br>
<br>
<b>Benefits
</b><br>
<br>
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.<br>
<br>
<br>
</p><p><b>Our Commitment to Diversity and Inclusion</b></p>
<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>
<p><b>Compliance</b></p>
<p><b>If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</b></p></div></div>

Lakebase Sales Specialist

<div>Data Scientist Transaction Banking (Amsterdam)<div><div><div><h2 class="jobSectionHeader"><b>
In het kort</b></h2></div><div><p>
Ben jij een Data Scientist met interesse in de financi&euml;le sector en wil je &eacute;cht impact maken met data? In het Transaction Banking Data Domain werk je in een ambitieus team van dataprofessionals aan vraagstukken die er toe doen, van strategie tot operatie. Je krijgt de ruimte om te experimenteren, je verder te ontwikkelen en met jouw inzichten het verschil te maken.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Werkomgeving</b></h2></div><div><p>
Wij zijn het Advanced Analytics &amp; AI Center of Expertise (AA&amp;AI CoE), onderdeel van het Transaction Banking Data Domain. Onze missie is om maximale waarde te halen uit transactionele bankdata en zo bij te dragen aan betere besluitvorming binnen de bank. Ons domein omvat een breed portfolio aan producten en diensten, zoals rekeningen, betaalkaarten, spaarproducten, verzekeringen, open banking API&rsquo;s, handelsfinanciering en digitale oplossingen zoals Apple Pay en Google Pay. Ook de bijbehorende verkoop-, bedrijfs- en risicomanagementprocessen vallen hieronder. Met datagedreven inzichten spelen we een belangrijke rol in het versterken van de resultaten van de bank.</p><p><br>
We zetten advanced analytics en nieuwe technologie&euml;n (zoals Generative AI) in om waarde uit data te halen. Denk aan het ontdekken van trends in productgebruik en transacties, het voorspellen van ontwikkelingen, het optimaliseren van processen en het verbeteren van prestaties. Daarnaast adviseren we over nieuwe proposities, zorgplichtvraagstukken en prioriteiten die bijdragen aan betere klant- en leveranciersrelaties.</p><p><br>
Ook werken we actief aan het vergroten van de datagedreven manier van werken binnen de organisatie. We helpen de bank om stappen te zetten in data maturity en data literacy, zodat data op alle niveaus beter wordt benut.<br>
Ons team bestaat uit ruim 40 collega&rsquo;s in Nederland en India. We werken in een open, informele en inclusieve omgeving, waarin ruimte is voor verschillende perspectieven. We hanteren agile werkwijzen en werken veel samen met collega&rsquo;s uit verschillende disciplines, zoals business experts, product owners en senior stakeholders. Dat biedt volop kansen om te leren, te groeien en je netwerk uit te breiden.</p><p><br>
Binnen het team staan ondernemerschap, samenwerking en plezier centraal. Successen vieren we samen, en we werken volgens de kernwaarden van de bank: Care, Collaboration en Courage.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Je werk</b></h2></div><div><ul><li>
Je draagt bij aan geavanceerde analytics en AI-innovaties door use cases te ontwikkelen met nieuwe technologie&euml;n. Daarbij stimuleer je een cultuur van experimenteren, innovatie en continu verbeteren.</li><li>
Je ontwerpt en bouwt AI-oplossingen (zoals Machine Learning, Generative AI en AI Agents) in nauwe samenwerking met ML Engineers, AI Architects, Data Engineers en Data Analysts.</li><li>
Je vertaalt businessvraagstukken naar datavragen, verdiept je in processen achter producten en diensten, kiest passende analysetechnieken en legt verbanden.</li><li>
Je werkt mee aan projecten van begin tot eind en neemt daarin eigenaarschap, terwijl je ook actief samenwerkt in multidisciplinaire teams om stap voor stap waarde te realiseren.</li><li>
Je verkent en analyseert verschillende datasets (zoals producten, transacties, kanalen en klantdata) om tot relevante inzichten te komen.</li><li>
Je fungeert als sparringpartner voor stakeholders en ondersteunt hen met scherpe KPI&rsquo;s, rapportages en inzichten die aansluiten bij hun behoeften.</li><li>
Je presenteert inzichten helder en overtuigend met behulp van storytelling, duidelijke visualisaties en een gestructureerde aanpak.</li><li>
Je begeleidt niet-technische stakeholders en collega&rsquo;s bij advanced analytics vraagstukken en werkt samen met diverse teams.</li><li>
Je blijft op de hoogte van ontwikkelingen binnen advanced analytics, Generative AI en cloudplatforms (zoals Databricks) en daagt bestaande werkwijzen continu uit.</li><li>
Je zet je in voor verdere verbetering en automatisering van analytische oplossingen en processen en signaleert proactief nieuwe kansen.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Je profiel</b></h2></div><div><ul><li>
Afgeronde HBO of WO in STEM, Bedrijfskunde, of andere relevante analytische opleiding</li><li>
6-8 jaar werkervaring, waarvan minimaal 3 jaar op het gebied van data science.</li><li>
Skilled in Python, PySpark, SQL en kennis van coding best practices.</li><li>
Ervaring met Machine Learning en AI/GenAI</li><li>
Analytisch, nieuwsgierig, communicatief in Engels</li><li>
Pr&eacute;: Kennis van de financi&euml;le sector en/of bankproducten, Azure/Databricks of vergelijkbare cloudplatforms, machine learning, Microsoft DP-100, Microsoft AZ-900, Agile kenni</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Wij bieden</b></h2></div><div><p>
Het is voor ons belangrijk om een goede werkgever te zijn. Wij bieden je daarom een functie met impact &eacute;n uitstekende arbeidsvoorwaarden die bijdragen aan jouw werkplezier, ontwikkeling en wellbeing.</p><p><br>
<br>
Daarnaast bieden wij:</p><ul><li>
Een aantrekkelijk bruto maandsalaris op basis van een 36‑urige werkweek. Dit is inclusief vakantiegeld en een flexibel benefit budget.</li><li>
Een uitstekende pensioenregeling, zodat je goed voorbereid bent voor later.</li><li>
Flexibiliteit in werken: thuiswerken is mogelijk in overleg met je team en afhankelijk van je functie. Wij regelen een ergonomische thuiswerkplek voor je.</li><li>
Ruimte voor ontspanning met vijf weken vakantie per jaar, aangevuld met twee verplichte vrije dagen. Daarnaast kun je jaarlijks tot vier extra weken vakantie bijkopen.</li><li>
Vijf &lsquo;Banking for better days&rsquo;: extra vrije dagen die je kunt inzetten voor persoonlijke ontwikkeling of vrijwilligerswerk.</li><li>
Persoonlijke ontwikkeling staat centraal: je ontvangt een ontwikkelbudget van &euro;1.000 per jaar, dat je kunt opsparen tot &euro;3.000.</li><li>
Een OV-jaarabonnement met gratis openbaar vervoer in heel Nederland voor zakelijk en priv&eacute; gebruik.</li></ul><p></p><p><br>
Meer informatie over onze arbeidsvoorwaarden en salarisschalen vind je in onze CAO die van toepassing is op deze vacature.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Interesse?</b></h2></div><div><div>
Graag ontvangen wij je sollicitatie via ons systeem, inclusief cv en motivatiebrief. Sollicitaties per e-mail worden niet in behandeling genomen. We kijken ernaar uit je te ontmoeten!</div></div></div><div><div><h2 class="jobSectionHeader"><b>
Jouw Toekomst: Inclusief, Innovatief en Duurzaam</b></h2></div><div><p>
Bij ABN AMRO geloven we in &quot;<b>Banking for better, for generations to come.</b>&quot; Gelijke kansen voor iedereen vormen een belangrijk fundament, waarbij we streven naar een inclusieve cultuur waarin alle medewerkers zich gezien, gehoord en gewaardeerd voelen. Onze visie als <b>persoonlijke bank in de digitale tijd </b>sluit naadloos aan bij de behoefte aan verrassende inzichten en innovatieve oplossingen, voortkomend uit een divers samenspel van culturen en ervaringen. We richten ons op klantbeleving, duurzaamheid en bouwen aan een toekomstbestendige bank, waarbij we gelijke beloning voor gelijk werk jaarlijks onderzoeken om eerlijke kansen te waarborgen. Sluit je aan bij een bank die vindingrijkheid en ambitie omarmt, en maak samen met ons impact voor een betere toekomst.<br>
<br>
<i>Als je wilt solliciteren voor het B-Able of Reboot programma, zorg er dan voor dat je dit vermeldt zowel in de titel als in de inhoud van je cv.</i></p></div></div><div><div><h2 class="jobSectionHeader"><b>
Disclaimer externe recruitmentbureaus</b></h2></div><div><p>
Externe recruitmentbureaus dienen een overeenkomst met ABN AMRO BANK N.V. te hebben getekend, uitgegeven door een Talent Acquisition Specialist, om cv's te mogen indienen. Acquisitie wordt daarom niet op prijs gesteld.</p></div></div></div></div>

Data Scientist Transaction Banking (Amsterdam)

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