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senior machine learning engineer

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Sprint and Partners

<div>
 
 
 SRE - Data Platform Engineer - Kubernetes - top 0,5% biggest data set globally
 
 
 
 
 Amsterdam
 
 (Hybrid) - Visa sponsorship and relocation included
 
 
 
 
 
 Building the backbone of data &amp; AI at scale. This is not a &ldquo;keep the lights on&rdquo; role.
 
 
 
 
 
 If you are interested in:
 
 <ul>
 <li>
 Working on systems where failure is not an option
 </li>
 <li>
 A team that values engineering quality over shortcuts
 </li>
 <li>
 Real ownership &mdash; you build it, you run it, you improve it
 </li>
 <li>
 Growth paths in deep technical expertise or leadership
 </li>
 <li>
 A setup where your work has visible, measurable impact
 </li>
 </ul>
 
 
 
 
 Check this out:
 
 
 
 
 
 You&rsquo;ll be building and evolving the core platform that everything depends on&mdash;from data pipelines to machine learning and real-time AI services. Think high-scale Kubernetes, complex distributed systems, and real reliability challenges where your decisions actually matter.
 
 
 
 
 
 If you care about uptime, performance, and engineering systems that don&rsquo;t break under pressure, this is your kind of environment.
 
 
 
 
 
 Why this role stands out for SREs / Platform Engineers
 
 <ul>
 <li>
 Reliability is the product &mdash; not an afterthought
 </li>
 <li>
 Work on real-world scale problems (not toy infra)
 </li>
 <li>
 Balance batch, streaming, and real-time workloads in one platform
 </li>
 <li>
 Tackle non-trivial Kubernetes challenges (scheduling, multi-tenancy, resource isolation)
 </li>
 <li>
 Own systems that directly impact data, ML, and AI products
 </li>
 <li>
 High autonomy, high responsibility, low bureaucracy
 </li>
 </ul>
 
 
 
 
 You&rsquo;re not just supporting engineers &mdash; you&rsquo;re enabling an entire ecosystem.
 
 
 
 
 
 What you&rsquo;ll actually do
 
 <ul>
 <li>
 Build and scale Kubernetes-based platform infrastructure, keeping systems highly available under unpredictable load
 </li>
 <li>
 Drive system reliability, availability, and performance. Preventing resource contention between critical and heavy workloads
 </li>
 <li>
 Building secure, multi-tenant platforms without performance trade-offs
 </li>
 <li>
 Automate everything that shouldn&rsquo;t require human intervention
 </li>
 <li>
 Design solutions for high-throughput, data-heavy workloads. Running GPU-powered and compute-intensive workloads efficiently.
 </li>
 <li>
 Optimize scalability. Scaling storage and networking for massive data volumes. Designing smart autoscaling and cost-efficient infrastructure.
 </li>
 <li>
 Support and unblock internal teams using the platform
 </li>
 <li>
 Continuously improve observability, alerting, and incident response
 </li>
 <li>
 Be part of an on-call rotation where reliability truly matters
 </li>
 </ul>
 
 
 
 
 You:
 
 <ul>
 <li>
 Have solid experience in SRE, Platform, or Infrastructure Engineering for data platforms or big data tooling.
 </li>
 <li>
 Are comfortable with Kubernetes in production environments
 </li>
 <li>
 Understand distributed systems and failure modes
 </li>
 <li>
 Care deeply about reliability, observability, and automation
 </li>
 <li>
 Enjoy solving complex problems rather than following playbooks
 </li>
 <li>
 Exposure to high-performance workloads or GPU environments
 </li>
 </ul>
 
 
 
 
 
 Salary and benefits
 
 
 
 The base salary is between 90K and 150K euro, depending on what you bring to the table in terms of skills, personality and experience.
 
 
 Some of the secondary benefits: a permanent contract, 20% guaranteed bonus in stock, 10K+ personal allowance (can be used as extra salary), healthcare allowance (~2K a year), holiday allowance (8%), holidays, laptop, travel allowance, relocation package for Internationals, training &amp; conferences, 30% ruling, VISA sponsorship, luxury lunch, snacks/drinks, work from home setup, etc.
 
 
 
</div>

SRE - Data Platform Engineer - Kubernetes - top 0,5% biggest data set globally

Tesla

<div>What to Expect<div>
Start Date: September 2026 
Location: Amsterdam 
Duration: 6 Months 
Length: Fulltime (40h a week)
Please note: In order to be considered, you must be enrolled in education for the full duration of the internship.
The Data Engineer Intern will support the development of data pipelines, systems, and processes for Tesla&rsquo;s Environmental Health, Safety and Security (EHS&amp;S) Org. The intern will have a unique opportunity to improve how Tesla uses data in an EHS&amp;S context. This includes collecting and processing data while ensuring quality and availability for downstream uses. This role has a strong technical component, where critical and structured thinking are a big bonus.
Data is deeply embedded in the culture at Tesla. We rely on data &ndash; lots of it &ndash; to improve our products, to optimize results, and to proactively detect opportunities for advancement. As an EHS&amp;S Data Engineer Intern, you will be part of the team that solves issues that affect Tesla&rsquo;s impact on the environment and employee health, safety, and security by using data and reporting metrics to identify potential problems in the field, investigate discrepancies, and initiate repair actions when needed. Your tasks will include data extraction, transformation, and loading (ETL) processes, as well as assisting in the development of data models and integration with various data sources.</div> 
What You'll Do<div><ul><li>
Assist in the design, development, and maintenance of ETL/ELT processes that collect and transform data from diverse sources</li><li>
Collaborate with the team to optimize data pipelines and ensure reliability in our processes</li><li>
Implement quality checks and monitor data integrity throughout the data flow</li><li>
Work with various stakeholders to understand their data needs and translate requirements into effective data solutions</li><li>
Write and optimize dbt/SQL queries to retrieve and manipulate data from our warehouse solution</li><li>
Develop Python scripts to automate data-related tasks and improve overall data workflow</li><li>
Contribute to the documentation of data engineering processes, data models, and best practices</li></ul></div> 

What You'll Bring<div><ul><li>
Currently pursuing a degree in Computer Science, Data Science, or a related field</li><li>
Good working knowledge of SQL language and relational databases (e.g., MS SQL, MySQL)</li><li>
Strong understanding of Python and ability to write efficient and well-documented code</li><li>
Solid problem-solving and critical thinking skills</li><li>
Level C1 English (written and spoken)</li><li>
Eagerness to learn and adapt to new technologies and tools in the data engineering domain</li><li>
Familiarity and experience with data warehousing concepts, Apache Airflow, dbt, ELT/ETL processes is a plus</li></ul></div> 
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. 
 
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.</div>

Data Engineer Internship

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)

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

RedCarpet®

<div>
 
 
 Jouw uitdaging
 
 
 
 Wil jij werken met de nieuwste technologie&euml;n binnen het Microsoft data-ecosysteem en bouwen aan schaalbare, toekomstbestendige dataplatformen? Als Senior Data Engineer speel je een sleutelrol in het ontwerpen en realiseren van moderne data-oplossingen.
 
 
 
 
 
 Je werkt aan complexe datavraagstukken binnen enterprise-omgevingen en helpt organisaties om volledig datagedreven te opereren. Van het bouwen van robuuste pipelines tot het neerzetten van complete lakehouse-architecturen: jij maakt het mogelijk.
 
 
 
 
 
 
 Onze partners &amp; sectoren
 
 
 
 Wij werken samen met een zorgvuldig opgebouwd netwerk van partners en opdrachtgevers binnen uiteenlopende sectoren. Hierdoor bieden wij dataprojecten die niet alleen technisch uitdagend zijn, maar ook inhoudelijk en maatschappelijk relevant.
 
 
 
 
 
 Onze partners zijn actief binnen onder andere de financi&euml;le dienstverlening, overheid en semi-overheid, energie, zorg, logistiek en bouw. Elke sector kent zijn eigen dynamiek en datavraagstukken, wat zorgt voor veel afwisseling en verdieping in je werk.
 
 
 
 
 
 Of je nu werkt aan schaalbare dataplatformen binnen finance, datagedreven oplossingen binnen de (semi-)overheid of innovatieve data-architecturen binnen energie of logistiek: jouw werk vormt de basis voor impactvolle inzichten.
 
 
 
 
 
 
 Wat ga je doen?
 
 
 
 &bull; Ontwerpen en implementeren van moderne data-architecturen (lakehouse, medallion)
 
 
 &bull; Bouwen en optimaliseren van data pipelines met Azure Data Factory en/of Microsoft Fabric
 
 
 &bull; Werken met Azure Synapse Analytics en/of Fabric Data Warehouse
 
 
 &bull; Inrichten en beheren van Azure Data Lake (Gen2)
 
 
 &bull; Integreren van databronnen via API&rsquo;s, streaming en batchprocessen
 
 
 &bull; Implementeren van CI/CD pipelines met Azure DevOps
 
 
 &bull; Toepassen van data modelling principes (bijv. dimensioneel modelleren, Data Vault)
 
 
 &bull; Optimaliseren van performance, kosten en schaalbaarheid
 
 
 &bull; Samenwerken met data scientists, analisten en stakeholders
 
 
 &bull; Adviseren over best practices, architectuur en datagovernance
 
 
 
 
 
 
 Wat breng je mee?
 
 
 
 &bull; Minimaal 5 jaar ervaring als Data Engineer
 
 
 &bull; Sterke ervaring binnen de Microsoft stack
 
 
 &bull; Ervaring met Azure Data Factory, Synapse Analytics en/of Microsoft Fabric
 
 
 &bull; Ervaring met Azure Data Lake en moderne data-architecturen
 
 
 &bull; Uitstekende kennis van SQL en Python
 
 
 &bull; Ervaring met Databricks (bij voorkeur binnen Azure)
 
 
 &bull; Kennis van Spark en distributed computing
 
 
 &bull; Ervaring met CI/CD en DevOps (Azure DevOps, Git)
 
 
 &bull; Kennis van data modelling technieken (Kimball, Data Vault)
 
 
 &bull; Ervaring met Power BI is een pr&eacute;
 
 
 &bull; Kennis van security, governance en data quality is een pr&eacute;
 
 
 &bull; Sterk probleemoplossend vermogen en communicatieve vaardigheden
 
 
 
 
 
 
 Wat krijg je ervoor terug?
 
 
 
 &bull; Werken met de nieuwste technologie&euml;n binnen de Microsoft data stack
 
 
 &bull; Projecten binnen complexe en datagedreven organisaties
 
 
 &bull; Veel ruimte voor eigen inbreng en technische keuzes
 
 
 &bull; Samenwerking met senior data professionals
 
 
 &bull; Marktconform salaris of aantrekkelijk zzp-tarief
 
 
 &bull; Flexibele werkvormen en hybride werken
 
 
 &bull; Volop mogelijkheden om jezelf verder te ontwikkelen en certificeringen te behalen
 
</div>

Data Engineer

SynTouch

<div>
 Bij SynTouch werk je als Data Engineer aan moderne dataoplossingen in de Azure-cloud. Je helpt organisaties om &eacute;cht datagedreven te worden &ndash; van het opzetten van data-platformen tot het bouwen van slimme, schaalbare data-pipelines.
 
 
 Samen met je team zorg je voor een stabiele, goed ingerichte data-architectuur. Je overziet het geheel, denkt mee met de klant &eacute;n implementeert de juiste Azure-tools &ndash; zoals Databricks, Data Factory of Logic Apps. Daarbij werk je graag samen met data scientists, engineers &eacute;n business stakeholders.
 
 
 Wat breng jij mee?
 
 
 Jouw enthousiasme voor data maakt het verschil. We zoeken iemand die:
 
 
 <ul>
 <li>
 Een afgeronde HBO- of WO-opleiding heeft in IT
 </li>
 <li>
 Ervaring heeft met SQL &eacute;n NoSQL databases
 </li>
 <li>
 Kennis heeft van data-concepten als Data Warehousing, Data Lakes, Data Mesh
 </li>
 <li>
 Bekend is met ETL/ELT, data-pipelines en event-driven architectuur
 </li>
 <li>
 Ervaring heeft met Azure services (zoals Databricks, Data Factory, Synapse, CosmosDB)
 </li>
 <li>
 Basiskennis heeft van analytics &eacute;n cloud
 </li>
 <li>
 Goed samenwerkt en initiatief toont
 </li>
 <li>
 This position requires fluency in Dutch
 
 
 </li>
 </ul>
 Klinkt dit als iets voor jou? Dan leren we je graag kennen.
</div>

Data Engineer Azure

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

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