big 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

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

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

<div>Company Description 
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. 
Job Description 
The Data Science team is young, diverse and growing. As we are still relatively small you will be in the driver seat to shape its future. We have a flat structure and value the entrepreneurial spirit of our members: initiative is highly encouraged. We are also striving for well-being, diversity and knowledge-sharing inside the team, so that we all grow.
As a Data engineer consultant you will be working on various client projects as well as on building our own Sia AI solutions, together with our French Data Engineering team:<ul><li>
Cloud Services at GCP, AWS and Azure: architecture choices, use of storage &amp; compute services, cost monitoring and optimization, role management, Infrastructure as Code</li><li>
Docker and Kubernetes: containerization &amp; orchestration of applications, management of K8s clusters adapted to Data Science workloads</li><li>
Python programming: development of server-side tools (bulk data processing, REST API server, authentication, ...)</li><li>
CI/CD: managing the integration and ongoing deployment of our applications and internal platforms, supporting the deployment of Data Science projects at our clients' sites</li><li>
Data pipelines: development of ETL scripts in Big Data environments</li><li>
Infrastructures &amp; Services adapted to Machine Learning: technology watch and implementation of solutions useful to Data Scientists in the learning and provision of their ML models.</li></ul> 

Qualifications 
<ul><li>
 You hold a Master&rsquo;s Degree with a strong quantitative component (e.g. Econometrics, Physics, Mathematics, Statistics, Quantitative Finance)</li><li>
You have 1-3 years of relevant experience in Data, DevOps, Cloud or Software Engineering.</li><li>
You have a good level in Python and have a solid foundation in other languages. You are familiar with at least one SQL DBMS (ideally PostgreSQL) and ideally noSQL (ideally MongoDB).</li><li>
Ideally, you are already familiar with at least one cloud services platform (GCP, AWS, Azure) with experience mixing different services within the same project. If not, you have a strong appetite to learn more about these topics.</li><li>
You are comfortable using Docker, automating CI/CD pipelines and have a strong appetite for gaining competence in Kubernetes if you do not yet have experience with this solution.</li><li>
You will be able to work in a DevOps culture, taking responsibility for the code lifecycle, from development to deployment and maintenance of applications (mastery of the Gitlab-CE ecosystem is a plus). You are also familiar with Infrastructure as Code concepts and tools (ideally Terraform).</li><li>
You are sensitive to security issues and have experience in implementing application protection solutions (certificate management, HTTPS security, OAuth2 authentication, credential management)</li><li>
You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you&rsquo;re excited about helping our clients seize the opportunities they offer.</li><li>
You have excellent interpersonal and team working skills</li><li>
Excellent English and Dutch verbal and written skills are required.</li></ul> 

Additional Information 
We are unable to provide a work permit for this position 
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</div>

Consultant Data Engineer

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

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>

Explore 84+ Big data engineer in Amsterdam this July. Find roles across top companies and apply now to boost your career.

84 big data engineer jobs In Amsterdam

Data Engineer

Databricks Data Engineer

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

Consultant Data Engineer

Data Engineer Internship

Data Engineer

Data Engineer