database engineer

Devoteam

<div>Bedrijfsomschrijving 
Who are we?
We are Devoteam, an AI-driven tech consultancy with more than 11,000 tech experts spread across 25 countries in Europe and the Middle East. At Devoteam, we strongly believe in the power of technology, with AI at the heart of our approach. We partner with leading providers such as Google, Microsoft, AWS, and ServiceNow. In the Netherlands, we have around 300 experts and specialize in Cloud, Cyber, Data, and AI.
With us, you become part of a group of Tech Enthusiasts in a culture where making mistakes is allowed and where everyone&mdash;from bright young talents to experienced rockstars&mdash;is encouraged to continuously innovate and grow. We are a community that is proud of who you are and helps you get the best out of yourself. We are allergic to unnecessary hierarchies and excessive processes. At Devoteam, the only constant is 'change'. 
Vacatureomschrijving 
We are seeking a talented and passionate Databricks Data Engineer to join our expanding Microsoft Databricks team. In this role, you will be a crucial player in designing, building, and maintaining cutting-edge data solutions on the Databricks platform. You will have the opportunity to work with a variety of clients across different industries, collaborating with both internal teams and client stakeholders to deliver high-quality data pipelines and enable data-driven decision-making.
Responsibilities:<ul><li>
Data Pipeline Engineering: Design, develop, and deploy robust and scalable data pipelines using Databricks, incorporating data extraction from diverse sources (databases, APIs, streaming platforms), transformation and cleansing using Spark, and loading into target systems (data lakes, data warehouses, etc.). Optimize pipeline performance for efficiency and cost-effectiveness.</li><li>
Databricks Ecosystem Expertise: Utilize the full capabilities of the Databricks platform, including Databricks SQL, Delta Lake, Databricks Runtime, and Databricks Workflows, to orchestrate complex data workflows and ensure data quality and pipeline reliability.</li><li>
Cloud Integration: Seamlessly integrate Databricks with cloud services (Azure, AWS, or GCP) for storage, compute, and security, leveraging services like Azure Data Lake Storage, AWS S3, Google Cloud Storage, and more.</li><li>
Data Architecture and Modeling: Contribute to the design and implementation of robust data models and architectures for data lakes and data warehouses, ensuring data consistency, integrity, and accessibility for various use cases.</li><li>
Data Quality Assurance: Implement rigorous data quality checks and validation procedures throughout the data pipeline to maintain high accuracy and reliability. Adhere to data governance policies and best practices.</li><li>
Collaboration and Communication: Work closely with data scientists, analysts, business intelligence specialists, and business stakeholders to understand their data requirements and provide technical expertise on Databricks and data engineering best practices.</li><li>
Continuous Learning: Stay up to date with the latest Databricks features, cloud technologies, and data engineering trends to continuously improve our solutions and deliver innovative results for our clients.</li></ul> 
Functie-eisen<ul><li> 
Hold a University Degree in Computer Science, (Business) Engineering, or a specialized master's in Machine Learning or AI.</li><li>
Proven Experience: 2+ years of experience as a Data Engineer with demonstrated expertise in Databricks.</li><li>
Cloud Proficiency: Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP), with a good understanding of cloud data services and infrastructure.</li><li>
Programming Skills: Strong programming skills in Python or Scala, with experience in data manipulation libraries (e.g., PySpark, Spark SQL).</li><li>
Data Fundamentals: Solid understanding of data warehousing principles, ETL processes, data modeling techniques, and database systems.</li><li>
SQL Expertise: Advanced SQL skills for data querying, transformation, and analysis.</li><li>
Communication Skills: Excellent communication and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders.</li><li>
Problem-Solving: Strong analytical and problem-solving abilities, with a proactive approach to identifying and resolving data-related challenges.</li><li>
Proficiency in Dutch is a big plus.</li></ul> 
Aanvullende informatie 
At Devoteam, we invest in our people. Our benefits package includes:<ul><li>
Excellent primary and secondary employment benefits (excellent salary, bonus, lease car, laptop, phone, etc.).</li><li>
A personalized career development plan with specific training and certifications tailored to your field.</li><li>
Every opportunity to grow as a thought leader through knowledge sharing, blogs, and keynote sessions.</li><li>
The unique option to work from within Europe for 4 weeks per year.</li><li>
A vibrant internal community with knowledge sessions, ranging from bi-weekly Tech Thursdays to KISSes (Knowledge &amp; Information Sharing Sessions).</li></ul>
We look forward to welcoming you into our open and accessible culture! Are you ready for your next challenge? Apply today!
Questions? Please contact Casper Posch at nl.recruitment@devoteam.nl.</div>

Databricks Data Engineer

Pancompany

<div>
 
 
 Wat ga je doen.
 
 
 
 Organisaties zitten boordevol data. Jij bedenkt, ontwerpt en ontwikkelt als (Big) Data Engineer technische oplossingen voor ongestructureerde data vanuit de databron. Zodat deze data kan worden omgezet naar informatie, door bijvoorbeeld een dashboard te bouwen of door een grondige data-analyse te maken. Jouw werk heeft dus grote impact! Je draagt als Data Engineer direct bij aan de bestuurbaarheid en onderbouwing van de beslissingen die CEO&rsquo;s en managementteams dagelijks nemen.
 
 
 
 
 
 Door jouw ervaring met softwareontwikkeling en data-infrastructuur ben je van meerwaarde voor iedere klant. Je werkt graag samen met data scientists om de door hen getrainde machine learning modellen in de praktijk tot een succes te maken. Daarnaast haal je jouw plezier uit het zo effici&euml;nt en effectief mogelijk inrichten van de streaming data pipelines van onze klanten.
 
 
 
 
 
 Als Data Engineer begrijp je het belang van realtime kennis en zoek je dus zelfstandig naar mogelijke oplossingen voor de uitdagingen van onze klanten en werk je deze oplossingen uit. De technische rol die jij vertolkt helpt de klant bij de vertaling van hun probleem naar een oplossing door van het gebruik van de juiste Tech-stack.
 
 
 
 
 
 Je werkt voor grote bedrijven zoals de Nederlandse overheid en top-200 bedrijven. En dat biedt jou de unieke kans om op grote schaal impact te maken. De complexiteit en omvang van de data bij deze bedrijven bieden uitdagende mogelijkheden voor een Data Engineer. Je bent betrokken bij projecten die de koers van deze bedrijven be&iuml;nvloeden en de besluitvorming van CEO&rsquo;s en managementteams ondersteunen, waardoor je bijdraagt aan hun succes en groei.
 
 
 
 
 
 Jij wil de beste zijn in je werk en werken met de nieuwste technieken. Van ons krijg je dus alle ruimte om je te blijven ontwikkelen en deel te nemen aan trainingen, cursussen en seminars. Ben jij de Data Engineer die onze community komt versterken?
 
 
 
 
 
 
 Wij bieden.
 
 
 <ul>
 <li>
 
 Salaris
 
 . Een onvoorwaardelijk en gegarandeerd basisinkomen, wat jou zekerheid geeft.
 </li>
 <li>
 
 Provisie
 
 . Naast het basissalaris deel je mee in de omzet met ons
 
 Solidshare
 
 beloningsmodel. En dat kan aardig oplopen.
 </li>
 <li>
 
 Zekerheid
 
 . Uiteraard krijg je een vast contract met prima secundaire arbeidsvoorwaarden.
 </li>
 <li>
 
 Vakantiedagen
 
 . Onbeperkt!
 </li>
 <li>
 
 Essentials
 
 . Een auto, laptop en telefoon, dat spreekt voor zich.
 </li>
 <li>
 
 Projecten
 
 . Samen kiezen we de projecten waar jij helemaal op je plek zit.
 </li>
 <li>
 
 Ontwikkeling
 
 . Opleidingen, trainingen en cursussen die bij je passen.
 </li>
 <li>
 
 Een stem
 
 . Laat je horen in onze
 
 Data Analytics
 
 competence.
 </li>
 <li>
 
 Our community
 
 . Deel kennis, successen en gezelligheid met collega&rsquo;s die net zo bezeten zijn van IT als jij.
 </li>
 <li>
 
 Events
 
 . Van onze jaarlijkse ski-trip naar Oostenrijk en de jubileumreis naar
 
 Dublin
 
 tot een MTB-clinic of running event. Van tweewekelijkse
 
 Dungeons &amp; Dragons
 
 -avonden tot familiedagen naar de Efteling.
 </li>
 </ul>
 
 
 
 
 
 Dit ben jij.
 
 
 
 Je hebt een relevant HBO of WO-diploma, bij voorkeur Computer Science of Artificial Intelligence. Je programmeert bij voorkeur met Java, Scala of Python.
 
 
 Je bent de Data Engineer die alles weet van noodzakelijke pipeline tooling als Kafka, Spark, Cassandra en containertooling als Docker, Airflow of Kubernetes. Bij voorkeur heb je ook al ervaring met cloud oplossingen (Microsoft Azure of AWS).
 
 
 Je bent analytisch sterk en kunt zelfstandig organisaties adviseren over de te nemen beslissingen. Tot slot spreek en schrijf je vloeiend Nederlands en Engels.
 
 
 
 
 
 
 Bij Pancompany.
 
 
 
 Ben je de beste in je vak.
 
 
 Denk en handel je als een ondernemer.
 
 
 Maak je plezier en geniet je volop.
 
</div>

Data Engineer

Doghouse Recruitment

<div>
 
 
 Data Engineer &ndash; SaaS (Amsterdam / Hybrid / up to &euro;85K + bonus)
 
 
 
 
 
 
 My client is looking for a Data Engineer to help take their customer app to the next level. The app is used by over 700,000 users and relied on daily by thousands, playing a key role in enabling more sustainable travel by bike, car, and scooter. In this role, your work will directly influence how people move through their cities every day.
 
 
 
 
 
 You will join a passionate team of 20 engineers working with modern technologies, focused on building new features, improving performance, and delivering an outstanding user experience. On top of this, the company is preparing for a major data migration and expects to onboard an additional 100,000 users in the short term making scalability, reliability, and performance more critical than ever.
 
 
 
 
 
 
 The role
 
 
 
 You will be working on a modern data platform built with Clickhouse, Airflow, Python, Docker, and Kubernetes. The platform processes large volumes of operational and event data and delivers reliable analytics at scale.
 
 
 
 
 
 In this role, you will design, build, and maintain robust data pipelines, improve and optimise data models, and help further develop the overall data platform. You will work closely with product and engineering teams to ensure data is accurate, reliable, and scalable across the organization.
 
 
 You will join a strong engineering environment where modern tooling, ownership, and impact are key.
 
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 5+ years of experience as a Data Engineer or similar role
 </li>
 <li>
 Strong experience with Python and building data pipelines
 </li>
 <li>
 Hands-on experience with DBT, Snowflake, Airflow, or similar orchestration tools
 </li>
 <li>
 Experience with CI/CD, Docker &amp; Kubernetes.
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 Salary up to &euro;85K (including holiday allowance)
 </li>
 <li>
 Hybrid working model (60/40)
 </li>
 <li>
 Start with a 12-month contract, with permanent hire thereafter
 </li>
 <li>
 &ldquo;Check-out day&rdquo; every two weeks for a mental reset
 </li>
 <li>
 Bonus scheme
 </li>
 <li>
 &euro;2,000 annual learning budget
 </li>
 <li>
 Ability to work remotely for 2 weeks per year (including workations)
 </li>
 </ul>
 
 
 
 
 
 Interested? Apply or contact me at glenn@doghouse-recruitment.nl
 
 
</div>

Odgers Nederland

<div>
 
 Bij Odgers bouwen we aan een datagedreven en toekomstbestendige executive search organisatie. Om onze ambitie verder vorm te geven, zoeken wij een
 
 Data Engineer
 
 die onze datafundamenten versterkt en helpt om onze processen slimmer, sneller en beter voorspelbaar te maken.
 
 
 
 
 
 
 Over de rol
 
 
 
 Als Data Engineer speel je een sleutelrol in het ontwikkelen en onderhouden van onze data‑infrastructuur. Je zorgt ervoor dat data betrouwbaar beschikbaar is voor analyses, dashboards en AI‑toepassingen die direct bijdragen aan onze search- en advisorypraktijk.
 
 
 Je werkt nauw samen met research, consultants en operations om data om te zetten in concrete inzichten die onze dienstverlening verbeteren.
 
 
 
 
 
 
 Wat ga je doen
 
 
 <ul>
 <li>
 Ontwerpen, bouwen en onderhouden van data pipelines en data‑modellen
 </li>
 <li>
 Integreren van verschillende databronnen (ATS, CRM, M365, externe datasets)
 </li>
 <li>
 Waarborgen van datakwaliteit, consistentie en security (GDPR/AVG-proof)
 </li>
 <li>
 Ondersteunen van rapportages, dashboards en KPI‑sturing
 </li>
 <li>
 Meewerken aan AI- en automatiseringsoplossingen (bijv. Copilot use cases)
 </li>
 <li>
 Vertalen van businessvragen naar data‑gedreven oplossingen
 </li>
 </ul>
 
 
 
 
 
 Wat breng je mee
 
 
 <ul>
 <li>
 Bachelor of master in Data Science, Computer Science of vergelijkbaar
 </li>
 <li>
 Minimaal 3 jaar ervaring als Data Engineer of in een vergelijkbare rol
 </li>
 <li>
 Sterke kennis van SQL en ervaring met data pipelines (bijv. Python, Azure Data Factory, Databricks)
 </li>
 <li>
 Ervaring met cloudomgevingen (bij voorkeur Microsoft Azure)
 </li>
 <li>
 Begrip van data‑modellering en datagovernance
 </li>
 <li>
 Affiniteit met AI en automatisering is een sterke pr&eacute;
 </li>
 <li>
 Analytisch, gestructureerd en proactief
 </li>
 </ul>
 
 
 
 
 
 Wat bieden wij
 
 
 <ul>
 <li>
 Een sleutelrol in de transformatie naar een datagedreven organisatie
 </li>
 <li>
 Directe impact op de kwaliteit en snelheid van onze dienstverlening
 </li>
 <li>
 Werken in een professionele, internationale omgeving
 </li>
 <li>
 Ruimte om mee te bouwen aan innovatieve AI- en data‑oplossingen
 </li>
 <li>
 Marktconform salaris en goede secundaire arbeidsvoorwaarden
 </li>
 </ul>
 
 
 
 
 
 Over Odgers
 
 
 
 Odgers is een toonaangevend executive search- en leadership advisory bureau. Wij combineren menselijke expertise met data en technologie om organisaties te helpen de juiste leiders te vinden en ontwikkelen.
 
</div>

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)

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

Just Eat Takeaway.com

<div>
 
 
 Ready for a challenge?
 
 
 
 
 Then Just Eat Takeaway.com might be the place for you. We&rsquo;re a leading global online delivery platform, and our vision is to empower everyday convenience.
 
 
 Whether it&rsquo;s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.
 
 
 
 About This Role
 
 
 
 We are looking for a Senior Data Engineer to join the Batch team within the Global Intelligence Platforms organisation, where you will play a central role in building and evolving Mobius - our internal unified analytics and data platform that powers data workloads at scale across Just Eat Takeaway.
 
 
 Mobius is a Kubernetes-native, declarative data platform that abstracts away infrastructure complexity so that data engineers across the business can provision and manage batch and streaming pipelines through a simple, expressive API. As part of the Batch team, you will own the components that make this a reality for batch processing.
 
 
 We're looking for someone who can live our behaviours of lead, deliver and care, bring fresh ideas, challenge the status quo, and push for bold, creative solutions to drive the Just Eat Takeaway vision forward.
 
 
 
 
 Location: Hybrid - 3 days a week from our Amsterdam office &amp; 2 days working from home
 
 
 Reporting to: Senior Team Leader - Data Engineering
 
 
 
 
 
 
 These are some of the key components to the position:
 
 
 
 
 <ul>
 <li>
 Design, build, and continuously improve batch and data processing pipelines on the Mobius platform, holding yourself and the team to a high standard of reliability and maintainability.
 </li>
 <li>
 Contribute to the evolution of Mobius platform capabilities, helping shape architecture decisions that scale with the organisation's growing data needs.
 </li>
 <li>
 Partner closely with internal teams to understand their data requirements, translating them into well-engineered, production-ready solutions.
 </li>
 <li>
 Champion data quality and governance by defining and maintaining data contracts, metadata, and lineage across the pipelines you own.
 </li>
 <li>
 Set up and own observability for data workloads - monitoring, alerting, and logging - and lead incident response when things don't go to plan.
 </li>
 <li>
 Participate actively in code reviews, raising the bar for engineering standards and sharing knowledge generously across the team.
 </li>
 <li>
 Collaborate across Global Intelligence Platforms org and with external teams to ensure Mobius delivers real, measurable value to the business.
 </li>
 <li>
 Identify and drive improvements to tooling, processes, and developer experience, making it easier for teams to build on top of Mobius with confidence.
 </li>
 <li>
 Contribute to team planning and prioritisation, helping to break down complex problems into clear, achievable goals that keep the team moving forward.
 
 
 </li>
 </ul>
 
 
 What will you bring to the team?
 
 
 
 
 <ul>
 <li>
 Strong coding skills (Python/Java/Scala), with a track record of building and maintaining reliable, production-grade data pipelines at scale.
 </li>
 <li>
 Confident working with Kubernetes-native platforms to deploy and operate data workloads across cloud environments. Knowledge of Golang is a strong advantage.
 </li>
 <li>
 Hands-on experience with data transformation tools such as Spark and DBT, with a focus on building well-tested, maintainable data products.
 </li>
 <li>
 Familiarity with Apache Iceberg table format and schema management via catalogs such as AWS Glue, with an appreciation for data quality and consistency.
 </li>
 <li>
 Solid grounding in core AWS data and messaging services (S3, Glue ETL, DynamoDB, SNS, SQS, Redis) and how they fit together in modern data architectures.
 </li>
 <li>
 Proficiency in SQL and experience querying large-scale datasets with engines such as Athena to surface insights for internal and external partners.
 </li>
 <li>
 Experience orchestrating and scheduling data workflows, with an understanding of pipeline dependency management principles (e.g., Airflow).
 </li>
 <li>
 Comfortable establishing monitoring, logging, and alerting for data pipelines to drive operational excellence and fast incident response.
 </li>
 <li>
 An appreciation for data governance - including metadata management and data contracts - as a foundation for responsible, trustworthy data products.
 </li>
 <li>
 A collaborative, growth-oriented mindset: you build strong relationships across teams, stay committed to shared goals, and actively look for ways to raise the bar.
 
 
 </li>
 </ul>
 
 
 At JET, this is how we play
 
 
 
 
 Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.
 
 
 Being the best at what we do isn&rsquo;t just about delivering on our strategy. It's a competition for something incredibly valuable &ndash; our customers' choice. Every time a customer decides where to order, they're picking a side.
 
 
 At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers&rsquo; loyalty, again and again.
 
 
 Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we&rsquo;re building a customer-first culture which enables us to stay one step ahead of the competition.
 
 
 
 
 Inclusion, Diversity &amp; Belonging
 
 
 
 
 No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We&rsquo;re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.
 
 
 
 What else are we delivering?
 
 
 
 Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET journeys.
 
 
 
 
 Are you ready to join the team? Apply now!
 
 
 
 
</div>

Senior Data Engineer

Explore 50+ Database engineer in Amsterdam this July. Find roles across top companies and apply now to boost your career.

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