analytics engineer

LOGEX

<div>Our Mission
LOGEX is a leader in healthcare analytics, transforming complex data into actionable insights that help organizations make better decisions and improve outcomes.
You will be part of the internal Data Warehouse (DWH) team, a newly established team within LOGEX that will initially consist of around 5 team members. This team represents a new domain within the organization, focused on building and centralizing our internal data foundation.
The team is responsible for designing, developing, and maintaining the internal data warehouse and ensuring consistent, reliable, and scalable data across all business domains. This includes enabling reporting and analytics for functions such as Finance, Product and Tech, Sales, HR, and Customer Office.
Our goal is to create a single source of truth that supports LOGEX in making data-driven decisions. This ranges from financial and operational reporting to performance insights, forecasting, and strategic decision-making. By building a strong and future-proof data foundation, the team plays a key role in improving internal processes, increasing transparency, and supporting the continued growth of LOGEX.
As an Analytics Engineer, you play a key role in building and scaling our data platform. You design and maintain robust data pipelines, integrate data from multiple sources into our data warehouse, and develop reliable data models in Snowflake. You ensure that our data is accurate, accessible, and performs at a high standard, enabling business teams to make data-driven decisions.
You work closely with both technical and business stakeholders to understand how data supports processes and outcomes, translating these needs into scalable solutions. At the same time, you contribute to improving our overall data architecture and establishing best practices across the platform. With a strong passion for data, you focus on creating high-quality, future-proof solutions that drive real impact.
What you will do<ul><li>
Design and develop data models in Snowflake</li><li>
Transform and structure data into business-ready datasets</li><li>
Build and maintain data marts for reporting</li><li>
Ensure data consistency, quality, and governance</li><li>
Collaborate with Data Engineers and Data Analysts</li><li>
Support reporting and analytics in Power BI</li><li>
Translate business requirements into scalable data solutions</li></ul> 
Who we are looking for
Passion for data<ul><li>
You enjoy structuring and organizing data for analytics</li><li>
You can bridge the gap between technical and business teams</li></ul>
Experience<ul><li>
2&ndash;5+ years of experience in Analytics Engineering / BI / Data</li><li>
Strong SQL skills</li><li>
Experience with Snowflake</li><li>
Experience with Power BI</li><li>
Experience working with Excel for analysis and validation</li><li>
Experience with integration tools such as Workato is a plus</li></ul>
Mindset<ul><li>
You enjoy building something new and shaping how things are done</li><li>
You are communicative and work well with stakeholders</li><li>
You have a hands-on and entrepreneurial attitude</li></ul>
Why LOGEX?
Healthcare today is more tailored and more effective than ever before. However, with these improvements, come complexity. The burden of healthcare spending weighs heavily on economies, while the sheer number of options physicians and patients can choose from leads to uncertainty and unacceptable variations in clinical outcomes. At LOGEX, we have one superpower: data analysis. We choose to use this superpower to help address today&rsquo;s healthcare issues by turning data into better healthcare. Besides a purpose-driven workplace, we offer you:<ul><li>
An excellent compensation package (salary, holiday allowance, NS Business Card, phone and internet allowance)</li><li>
25 vacation days (based on full-time employment) to recharge, with the option to purchase additional days</li><li>
An informal working environment with motivated colleagues</li><li>
The possibility to work in a hybrid setup</li><li>
A laptop and everything you need to set up a comfortable and ergonomic home office</li><li>
Personal and professional development opportunities through our LOGEX Academy</li><li>
Access to our mental health partner, OpenUp</li><li>
Regular after-work drinks and many more social events</li></ul>
Contact us!
You can apply via the button below and upload your CV. For more information, or in case you have any 
questions, you can contact Wesley Schreuder at Wesley.schreuder@logex.com
Our company is dedicated to building a workplace that promotes equity, diversity, and inclusion, and we believe that a diverse workforce is essential to our success. As we strive to create a workplace where everyone feels valued and respected, regardless of their race, gender, sexual orientation, age, religion, or any other characteristic, we encourage everyone to apply.</div>

Analytics Engineer

Insify

<div>
 
 About Insify
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 We're looking for a highly motivated
 
 Analytics Engineer
 
 who will work closely with Product and Insurance departments to bring instant, tailored and affordable financial safety products to entrepreneurs.
 
 
 
 What you'll be up to (some examples):
 
 
 
 <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
 
 
 
 
 </li>
 </ul>
 
 This role is a strong fit if you:
 
 
 
 <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
 
 
 
 
 </li>
 </ul>
 
 This role is not for you if:
 
 
 
 <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
 
 
 
 
 </li>
 </ul>
 
 We offer:
 
 
 
 <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
 
 
 </li>
 </ul>
</div>

Data Analyst / Analytics Engineer

Booking.com

<div>Role Description:

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.<h1 class="jobSectionHeader">
B. Data Teams</h1>
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.<h2 class="jobSectionHeader">
Platform Team</h2>
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.<h2 class="jobSectionHeader">
Data Enablement Teams</h2>
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.<h2 class="jobSectionHeader">
Flights Data Enablement Team</h2>
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.<h1 class="jobSectionHeader">
B. Responsible</h1>
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.<h3 class="jobSectionHeader">
You Will:</h3><ul><li>
Iteratively develop next-generation scalable, reliable, flexible, high-performance data pipeline capabilities and data platforms.</li><li>
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.</li><li>
Engage with other teams as needed to achieve business objectives.</li></ul><ul><li>
End-to-end ownership of data quality in our core datasets and data pipelines.</li><li>
Engage with other teams to help them identify and resolve data quality issues.</li><li>
Be responsible for maintaining data quality, security, integrity and governance by effectively following regulatory requirements, company standards, and best practices</li><li>
Adhere to the defined principles for architecture, quality and non-functional requirements.</li></ul><ul><li>
Proactively help colleagues grow professionally, taking a significant role in on-boarding and mentoring new team members.</li><li>
Continuously improve services you own, making them more performant, and utilising resources in the most optimised way.</li><li>
Ensure that products / services are always kept up to date with the latest technology standards and company guidelines.</li><li>
Ensuring that service level agreements are met by implementing tests and processes.</li><li>
Perform profiling to find bottlenecks and optimise performance, and ensure that performance metrics are set up and monitored for product health.</li><li>
Be able to connect business and product goals to complex technical tasks.</li><li>
Solve issues by prioritising; on customer impact and perform root cause analysis to find ways to prevent recurrence.</li><li>
Contribute to Booking.com&rsquo;s growth through interviewing, on-boarding and other recruitment efforts.</li><li>
Be working in an agile environment and expect to contribute towards your team's ways of working.</li><li>
Be expected to provide out of hours support on a rota.</li></ul><h1 class="jobSectionHeader">
B. Skilled</h1>
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. 
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.<h3 class="jobSectionHeader">
Requirements:</h3><ul><li>
3+ years of experience of designing, building, and optimising Data Lakes/Warehouses in databases such as Snowflake, Redshift, BigQuery, etc.</li><li>
2+ years of experience in a scripting language like Python or Scala.</li><li>
1+ years of experience in Streaming, using Kafka</li><li>
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.</li><li>
Producing curated, reusable analytical data products to enable self-serve analytics for many internal customers across departments.</li><li>
Modeling data following best practices and Data Warehousing methodologies such as Data Vault and (Kimball) Dimensional modeling.</li><li>
Self motivated to explore new technologies.</li><li>
Excellent communication skills - being able to effectively communicate to both technical and non-technical stakeholders.</li><li>
Excellent attention to detail.</li><li>
Be a &lsquo;Self Starter&rsquo; and highly motivated team player.</li><li>
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.</li><li>
Fully comfortable working in English, both written and spoken.</li></ul><h3 class="jobSectionHeader">
Bonus Points For:</h3><ul><li>
Experience with Airflow, Snowflake, pySpark.</li><li>
Experience working in a Data Governance L3 environment</li><li>
Experience with AWS.</li><li>
Passionate about test automation</li><li>
You have an intrinsic curiosity in technological innovations and you are always on top of the latest trends.</li></ul> 
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. 
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:<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> 
Inclusion at Booking.com: 
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. 
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; 
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. 
Application Process:
This section should provide:<ul><li>
Let&rsquo;s go places together: How we Hire</li><li>
This role does not come with relocation assistance.</li></ul></div>

Data Analytics Engineer II

Amsterdam Data Collective

<div>Who we are
ADC is a Boutique Data and AI consultancy with offices in the Netherlands, Sweden, and Denmark, and an award-winning data design studio (CLEVER&deg;FRANKE) embedded in the group. We help organisations turn data and AI into real impact, leading a mission to accelerate the responsible use of Data and AI. We bring the full data value chain under one roof: from strategy and engineering to analytics, data science, and design. This way, we turn complex data into clear roadmaps, scalable foundations, AI-powered tools, and experiences people actually enjoy using.
We are a collective of statisticians, designers, PhDs, and agentic AI engineers with deep expertise in the industries we serve: financial services, life sciences, healthcare, the public sector, retail, agriculture, and transportation. We do not arrive with generic tools and a slide deck. We walk in, work alongside the people who know the organisation best, and build solutions that actually run.
We call ourselves Wayfinders. Our clients trust us to navigate complexity and make it real: turning ambition into action in environments where the margin for error is small and the consequences of getting it wrong are real, for customers, employees, supply chains, and the bottom line. 
Build and Scale the AI Solutions That Drive Real Business Impact
Our Technology &amp; Innovation team is growing, and we are looking for a Data Engineer who is curious, technically driven, and eager to grow with us. As a Data Engineer, you will design and build scalable data pipelines that turn complex, high-volume datasets into reliable, production-ready foundations for engineering and analytics.
You'll be part of a true collective, working alongside consultants, data engineers, and AI specialists. 
Where you'll make an impact 
Data Pipeline Development &amp; Engineering<ul><li>
Design, build, and maintain scalable data pipelines</li><li>
Work with complex, high-volume, and heterogeneous datasets, ensuring data quality, traceability, and reproducibility.</li><li>
Develop data solutions on cloud platforms (AWS, Azure, GCP) that follow modern engineering and security best practices.</li></ul>
Technical Delivery &amp; Tooling<ul><li>
Contribute to and implement solutions using modern data engineering frameworks.</li><li>
Support projects end-to-end, from early discovery and design through to production deployment.</li></ul>
Collaboration &amp; Collective Development<ul><li>
Collaborate closely with data engineers, data scientists, AI engineers, and client stakeholders to co-create solutions that work in practice.</li><li>
Share knowledge internally and contribute to ADC's thought leadership in data and AI.</li></ul> 
What You Bring 
At ADC, we&rsquo;re not just consultants: we&rsquo;re leading experts in Data &amp; AI using our expertise in AI, Data and Cloud Engineering. What unites us is a shared way of working: breaking down complex challenges to change how organisations operate.<ul><li>
2+ years of experience as a Data Engineer, ideally gained in consulting or project-based work</li><li>
A solid foundation in AWS/Azure/GCP, Python, data modelling, testing and monitoring in production environments</li><li>
A quantitative academic background: AI, Machine Learning, Mathematics, Econometrics, Data Science, Computer Science, Physics or related field</li><li>
The ability to communicate with anyone in the room, breaking down complex ideas for technical and non-technical audiences
</li><li>A proactive and entrepreneurial mindset: you&rsquo;re eager to solve problems, innovate, and drive change</li><li>
A collaborative spirit: You believe the best solutions come from diverse perspectives and supporting each other to raise the bar.
</li><li>Ability to work at the intersection of science, engineering, and business</li><li>
Fluency in English.</li></ul>
This is an ambitious junior role, and we don&rsquo;t expect you to have mastered everything from day one. If you&rsquo;re excited about the topics above and believe you can add value or want to learn more, we&rsquo;d be very happy to receive your application.
What&rsquo;s in it for you
At ADC, you&rsquo;re part of the collective from day one. We want you to grow, experiment, and shape your own path while working on projects that matter. That means:
<ul><li>Impact you can point to: You&rsquo;ll see your work in action and our projects change how organisations make decisions
</li><li>Real responsibility, real support: You&rsquo;ll work alongside experienced experts from the start, learning by doing with mentorship and feedback built in
</li><li>The freedom to try new things: Spot a better way to build something? A smarter process? We want people who challenge the status quo
</li><li>Collective Week: Once a year, we go on a workation with the whole ADC team. We work on pro bono projects, explore new ideas, and make the kind of memories you&rsquo;ll want to talk about
</li><li>Ownership opportunities: We offer a competitive salary and bonus structure, plus the opportunity to invest in the company and become a co-owner once specific conditions are met. We mean it when we say collective
</li><li>A vibrant culture: Daily lunches, Friday drinks, sports, social events: a culture you&rsquo;ll notice from day one
</li></ul>What to do next
If you believe in building with heart, thrive on collaboration, and want to grow with a team that challenges and supports you, we want to meet you! If this sounds like your next challenge, apply through the link below.
<ul><li>Amsterdam Data Collective is an equal opportunity employer. To shape a better future, we value diversity and promote equality. No characteristics are discriminated against, as indicated in Directive 2000/78/EC. We encourage and welcome all applications. Additional arrangements or adjustments to support your application can be discussed further.</li></ul></div>

Consultant | Data Engineer

XEBIA

<div><h3 class="jobSectionHeader">Does This Sound Like You?
</h3>You're a data engineer or senior data professional with solid engineer and/or Azure foundations who wants to take the next step into Microsoft Fabric. You already understand what it means to build and maintain data systems in production, and now you're ready to deepen your expertise on the platform that's becoming the standard for many enterprises. You're pragmatic, eager to grow fast, and excited to bring engineering best practices to the Fabric ecosystem.<h3 class="jobSectionHeader">
The Xebia Data Division</h3>
Xebia Data is one of the divisions of Xebia Netherlands, which is renowned for its expertise in building strong Data and AI practices to deliver value to our clients. In the past, our team has predicted daily bread demand for millions of loaves, built advanced energy-saving algorithms at a national scale, and established data innovation labs at large multinational companies!
You&rsquo;ll work with the sharpest data professionals in Europe, people who are not only technically brilliant but also generous with their knowledge. We enjoy the benefits of being part of a large organization while maintaining the energetic atmosphere of a scale-up. Our commitment to our community is strong; we are deeply rooted in the local landscape.
<h3 class="jobSectionHeader">The Fabric Program</h3>
This program is designed for experienced data professionals who want to specialize in Microsoft Fabric.
 
 
You'll kick off with an intensive week of hands-on training led by our team. The training covers not just Fabric as a platform, but also the underlying foundations it's built on top of, so you understand the why, not just the how. After that, you'll dive straight into client projects with the support of our experienced Fabric engineers by your side.
<h3 class="jobSectionHeader">What You&rsquo;ll Be Doing To Make Organizations Data-Driven
</h3>Microsoft Fabric is becoming the go-to data platform for many organizations, and teams are eager to unlock its full potential. That's where you come in. You'll help clients adopt Fabric the right way: with proper engineering practices, reproducible deployments, testable code, and architectures that scale. 
 
You use your communication skills as much as your technical skills. You explain your design choices, align stakeholders, and help client teams make confident decisions about their data platform. You will be surrounded by experts from diverse fields and learn from different environments and industries.
You will work on projects of varying lengths. Some are three weeks, some are one year, most are in between. Every project is different, as is every client. You'll work in mixed teams of Xebians and client engineers, contributing directly to the backbone that powers data products. 
 
When on-site with clients, you may encounter something very difficult to solve. At Xebia we work as a team and we've got your back. Everyone is just a message away and ready to help! We say People First, and we mean it.<h3 class="jobSectionHeader"> 
What are we looking for</h3>
This position requires at least 3 years of relevant professional experience in data engineering, BI engineering, Analytics Engineering, Azure engineering, DevOps, or a related technical field. You don't need Fabric experience; that's what the program is for. What matters is that you have a strong technical foundation and the drive to develop yourself quickly. 
 
This program is perfect for:
<div><div><ul><li>Data engineers who have worked with tools like Spark, Airflow, dbt, or cloud data platforms and want to add Fabric to their toolkit.</li></ul></div><div>
Engineers from adjacent data fields who already apply engineering best practices (e.g., version control, CI/CD), have Azure affinity, and want to move deeper into data engineering on Fabric. 
<ul><li>
</li></ul></div></div> 
 
That said, we like to be amazed. If you have unique achievements, like contributing to open-source projects or building something exceptional, we encourage you to apply. 
 
If you already have extensive hands-on experience with Microsoft Fabric and are a Data Engineer, consider our regular Fabric Data Engineer role instead.
 Important: We&rsquo;re only looking for candidates who live in the Netherlands (we are not relocating at the moment).<h4 class="jobSectionHeader">
This is your dream job if&hellip;.</h4> 
✅ You have solid experience in data engineering, BI engineering, or software engineering and want to specialize in Microsoft Fabric.
✅ You care about software engineering fundamentals like version control, testing, CI/CD, and code review, and want to bring these to the Fabric ecosystem.
✅ You're eager to develop yourself quickly and aren't afraid of a steep learning curve.
✅ You have experience with cloud platforms (Azure, AWS, GCP) and/or tools like Spark, Terraform, dbt, or Airflow.
✅ You like working for different clients and enjoy learning in new environments and meeting new people on a regular basis.<h4 class="jobSectionHeader">
This is not your dream job if&hellip;.</h4>
❌ You prefer clicking through UIs over writing code. We believe in engineering our data platforms, not just configuring them.
❌You're not interested in how things work under the hood. We want people who dig deeper.
❌ You don't enjoy sharing knowledge. We write, speak, and teach because it's part of who we are.
❌ You prefer to work alone and get drained from having to explain why you made certain technical choices.
❌ You're looking for a junior or entry-level position. This program requires at least 3 years of professional experience.<h2 class="jobSectionHeader"> 
The Xebia Way</h2>
We believe in building a respectful and collaborative atmosphere where everyone can shine. Picture this: a team of curious minds, always eager to learn and share ideas. We are especially proud of our generous educational budget and our &ldquo;Hack-What-You-Want&rdquo; Fridays, where you can dive into projects that excite you. We champion our consultants to grow into advisors and thought leaders, whether that&rsquo;s publishing blogs, speaking at events, or shaping conversations about Data &amp; AI.
Xebia is a Great Place to Work certified organization driven by technology evangelists in Data and AI. Our global presence has a proven record of success across industries.
<h4 class="jobSectionHeader">Our Commitment to You</h4><div><div><ul><li>
Enjoy free healthy lunches and not-so-healthy drinks/snacks at our offices.</li><li>
Variety in clients and challenges. No boring maintenance, always learning</li><li>
Get a lease car or mobility budget</li><li>
Pick whatever laptop or MacBook you like!</li>
Choose your phone<li>
You can work on that innovative idea of yours next to other colleagues during our monthly Xebia Data Fridays.</li></ul></div><div><ul><li>
You can build/test/experiment with anything you want in our sandbox environments in GCP, AWS, and Azure
</li><li>Pension plan.
</li>Fun events and activities like ski trips, BBQs, cooking workshops and more! &zwj;<li>
Career strategy support to help you scale your skills and leadership</li>
Unlimited book budget<li>
A modern and dog friendly office in Amsterdam, Oostenburg.</li></ul></div></div> 
Our core values are people first, quality without compromise, knowledge sharing, and customer intimacy. At Xebia Data, you will find like-minded colleagues who are at the forefront of their field and have the courage to go off the beaten track; they are the people who make organizations move.
Sounds interesting? Let&rsquo;s talk.</div>

Fabric Data Engineer - Cross Skilling Program

ABN AMRO Bank N.V.

<div>
 
 At a glance
 
 
 
 The Finance and Risk Data Domain is looking for an experienced (8+ years) machine learning engineer for the advanced analytics and AI team. The position is for 40 hours per week at hay level 11 (&euro; 70.000- &euro; 100.000 yearly gross based on 40 hrs) and you would join around 10 other engineers to create AI driven solutions that empower our business.
 
 
 The AI team uses its expertise to turn promising (gen)AI ideas into fully fledged products. These products are data driven and assist the business in unlocking the full value of our data in order to make better informed decisions. Several applications are already in use and are used daily by colleagues across the organization.
 
 
 
 Your job
 
 
 
 Your role within this team will include the design and creation of AI models/applications. You will also be expected to be able to explain the value of your designs and defend the choices made. As an expert and frontrunner on AI you should also be able to convince others of the value that your applications can bring, as well as coach and train less experienced engineers in the proper use of AI.
 
 
 AI applications usually start their journey with a business requirement and an idea to have AI assist with the stated problem. Then a proof of concept phase starts, followed by a formal production design and implementation if successful. You will be involved at all stages of this pipeline, offering advice and guidance, and aiding with the design and implementation, either directly or indirectly. You will also train teams to maintain these applications.
 
 
 
 Your profile
 
 
 
 We heavily utilize Databricks in our environment for our data applications, using Python as our language of choice. Required skills would therefore include:
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Spark/PySpark
 </li>
 <li>
 Databricks
 </li>
 <li>
 Azure (AI services especially)
 </li>
 <li>
 SQL
 </li>
 <li>
 Software development practices (clean code, SOLID, patterns etc.)
 </li>
 <li>
 Excellent communication and stakeholder management skills
 
 
 
 </li>
 </ul>
 AI-Assisted Development (nice to have)
 
 
 <ul>
 <li>
 Experience with AI-assisted development tools (e.g. GitHub Copilot in VS Code / IDEs)
 </li>
 <li>
 Able to establish and maintain structured AI context (e.g. repository-level instructions, prompts, and reusable skills)
 </li>
 <li>
 Guides AI tools by embedding team standards, architectural decisions, and best practices into reusable context
 </li>
 <li>
 Reduces rework and inconsistency by contributing to shared AI assets (templates, examples, and patterns)
 </li>
 <li>
 Critically evaluates AI-generated output and ensures alignment with quality, security, and maintainability expectationsIdentifies opportunities to scale AI usage across the team through structured approaches rather than ad-hoc prompting
 
 
 
 </li>
 </ul>
 
 Working environment
 
 
 
 The F&amp;R data domain is a multicultural environment that works in an agile way and promotes knowledge sharing and collaboration. We host department wide sessions several times a year to facilitate this and have some fun events on top.
 
 
 
 We are offering
 
 
 
 We believe it is important to be a good employer. Joining us means stepping into a role with impact, supported by excellent employment conditions that foster your job satisfaction, development, and wellbeing.
 
 
 In addition, we offer:
 
 
 <ul>
 <li>
 An attractive gross monthly salary based on a 36‑hour work week, including holiday allowance and a flexible benefit budget.
 </li>
 <li>
 An excellent pension scheme, ensuring that you are well prepared for the future.
 </li>
 <li>
 Flexibility in working: working from home is possible in consultation with your team and depending on your role. We will provide an ergonomic home office setup for you.
 </li>
 <li>
 Plenty of room for relaxation with five weeks of vacation per year, supplemented by two mandatory days off. You can also purchase up to four additional weeks of vacation annually.
 </li>
 <li>
 Five &ldquo;Banking for better days&rdquo;: extra days off that you can use for personal development or volunteer work.
 </li>
 <li>
 Personal development is key: you receive a development budget of &euro;1,000 per year, which can accumulate up to &euro;3,000.
 </li>
 <li>
 An annual public transport pass with free public transportation throughout the Netherlands for both business and private use.
 
 
 
 </li>
 </ul>
 You can find more information about our employment conditions and salary scales in our Collective Labour Agreement (CLA), which applies to this vacancy.
 
 
 
 Interested?
 
 
 
 After initial screening, the interview process consists of a first interview to go over the role and relevant experience and skills in broad strokes. This is followed by a technical assignment and a technical interview. The assignment covers the basic aspects of the job and forms a starting point for the second interview. After the second interview we will usually take a decision, although on rare occasions a third interview can take place. For additional questions, you can contact the hiring manager: jasper.ris@nl.abnamro.com
 
 
 
 Your Future: Inclusive, Innovative, Sustainable
 
 
 
 At ABN AMRO, we believe in "Banking for better, for generations to come." 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 being a personal bank in the digital age 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.
 
 
 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.
 
 
 
 Disclaimer external recruitment agencies
 
 
 
 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.
</div>

Machine Learning & AI Engineer

Xccelerated | Part of Xebia

<div>
 
 Data Engineer
 
 
 
 
 
 
 Location:
 
 Netherlands (hybrid)
 
 
 
 Language:
 
 English-speaking environment
 
 
 
 
 
 Are you a
 
 Data Engineer based in Europe
 
 who wants to take the next step in your career?
 
 
 Would you like to
 
 relocate to the Netherlands
 
 and work on a modern cloud-based data platform while accelerating your growth through structured, high-level training?
 
 
 
 
 
 At
 
 Xccelerated
 
 , we are looking for
 
 Medior Data Engineers
 
 to help build a
 
 state-of-the-art data platform on Google Cloud Platform (GCP)
 
 . You&rsquo;ll work alongside experienced consultants and follow an intensive training program designed to rapidly strengthen your technical and professional skills.
 
 
 
 
 
 💡 Why join Xccelerated?
 
 <ul>
 <li>
 Build a
 
 modern data platform from scratch
 
 on Google Cloud Platform
 </li>
 <li>
 Work on real client projects while continuously improving your skills
 </li>
 <li>
 Receive
 
 60+ days of structured technical training
 
 led by experienced Tech Leads
 </li>
 <li>
 Collaborate with international engineering and analytics teams
 </li>
 <li>
 After one year, transition to a
 
 direct contract with the client organization
 
 </li>
 </ul>
 
 
 
 
 🚀 Your role as a Data Engineer
 
 
 As a Data Engineer at Xccelerated, you will help lay the foundation for data-driven decision making.
 
 
 You will:
 
 <ul>
 <li>
 Design, build and maintain
 
 scalable data pipelines
 
 on GCP
 </li>
 <li>
 Develop components of a modern data platform supporting analytics and machine learning use cases
 </li>
 <li>
 Ensure reliable integration between data sources, pipelines and data models
 </li>
 <li>
 Work closely with engineering, analytics and cloud teams on architecture and implementation
 </li>
 <li>
 Continuously improve data quality, reliability and performance
 </li>
 </ul>
 
 
 
 
 👩 💻 Who we&rsquo;re looking for
 
 
 You&rsquo;re a hands-on engineer who enjoys learning by doing and working on meaningful data challenges.
 
 
 You bring:
 
 <ul>
 <li>
 A Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data, Cloud or a related field
 </li>
 <li>
 
 3&ndash;4 years of experience
 
 as a Data Engineer (or similar role)
 </li>
 <li>
 Strong skills in
 
 Python
 
 and
 
 SQL
 
 </li>
 <li>
 Experience with at least one public cloud:
 
 GCP, AWS or Azure
 
 </li>
 <li>
 Familiarity with modern data tools such as
 
 Spark, Databricks or Airflow
 
 </li>
 <li>
 A proactive mindset and willingness to
 
 relocate to the Netherlands
 
 </li>
 </ul>
 
 
 
 
 🎁 What we offer
 
 
 At Xccelerated, we offer more than just a job &mdash; we offer a
 
 career accelerator in Data &amp; Cloud
 
 .
 
 <ul>
 <li>
 Competitive salary based on experience
 </li>
 <li>
 
 Relocation support
 
 for candidates moving to the Netherlands
 </li>
 <li>
 25 vacation days
 </li>
 <li>
 Intensive onboarding with a hands-on technical bootcamp
 </li>
 <li>
 Weekly technical training, mentoring and innovation days
 </li>
 <li>
 Company laptop and modern tooling
 </li>
 <li>
 Great lunches, excellent coffee and a well-stocked snack bar
 </li>
 <li>
 Hybrid working model and an international team
 </li>
 </ul>
 
 
 
 
 🌍 About Xccelerated
 
 
 Xccelerated (part of the
 
 Xebia Group
 
 ) is a tech accelerator focused on developing the next generation of Data &amp; Cloud professionals.
 
 
 You&rsquo;ll work
 
 four days per week
 
 on real client projects and spend
 
 one day per week
 
 on structured training, coaching and innovation. After one year, you&rsquo;ll have the opportunity to join one of our partner companies directly.
 
 
 
 
 
 📩 Interested in relocating to the Netherlands?
 
 
 We&rsquo;d love to hear from you.
 
 
 📧 Contact:
 
 Samantha Goncalves
 
 &ndash; sgoncalves@xccelerated.io
 
 
 📞 Phone: +31 6 13889770
 
 
 
 
 
 📋 Application process
 
 <ol>
 <li>
 Introductory interview with one of our recruiters
 </li>
 <li>
 Technical assessment &amp; presentation with one of our Tech Leads (remote)
 </li>
 </ol>
 
 We aim to complete the process within
 
 1&ndash;3 weeks
 
 , depending on availability.
 
</div>

Data Engineer (Relocation to the Netherlands)

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