20 beste vacatures voor de functie van data engineer in 2025 haarlem (nieuwe medewerkers gezocht)

Senior Data Engineer
TomTom —Amsterdam
- Fulltime
- Hybride werken
- Azure
- Informatica
- DevOps
- Budget voor professionele ontwikkeling
Snel solliciteren
Medior Data Platform Engineer
Xomnia —Amsterdam Centrum
- € 3.800 - € 6.200 per maand
- Fulltime
- Hybride werken
- Azure
- Master
- SQL
Snel solliciteren
Data Engineer
OCTA Farmacie Groep —Amsterdam
- € 5.800 - € 7.800 per maand
- E-mail
- Hybride werken
- Kantoor
- Master
- APIs
- Reiskostenvergoeding
Data Engineer Advanced Analytics Platform IV Gegevensdiensten
UWV —Amsterdam
- € 4.616,10 - € 6.909,30 per maand
- Parttime
- Hybride werken
- Azure
- DevOps
- Analytisch vermogen
- Reiskostenvergoeding
- Flexibele werkuren
BI Frontend Developer - Data Insights
Schiphol —Schiphol
- € 5.231 - € 7.257 per maand
- Online sollicitatie
- DevOps
- SQL
- Agile
11 dagen
Principal Software Engineer I - Marketplace Data & AI
Booking.com —Amsterdam Centrum
- Fulltime
- Hybride werken
- Master
- Softwareontwikkeling
- AI
- Mentale gezondheidszorgprogramma's
8 dagen
Data Scientist - QuantumBlack, AI by McKinsey
McKinsey & Company —Amsterdam
- Azure
- Doctor
- Engels
Senior Data Engineer
Full Orbit —Haarlem
- Fulltime
- Hybride werken
- Azure
- SQL
- AWS
Snel solliciteren
Senior Data Scientist - Commodity Trading and Risk Management
McKinsey & Company —Amsterdam
- Informatica
- Onderzoek
- Master
Data Engineer II
Booking.com —Amsterdam Centrum
- Fulltime
- Hybride werken
- Bediening
- Java
- Master
- Verhuisvergoeding
Data Center Test & Commissioning Engineer
Next U Systems for EnerFusion Finland Oy —Gemeente Amsterdam
- Fulltime
- PMP
- Engels
- Bachelor
Snel solliciteren
5 dagen
Data Engineer
Invest-NL N.V. —Amsterdam Westpoort
- € 4.500 - € 5.900 per maand
- Fulltime
- Hybride werken
- Azure
- Engels
- Master
- Budget voor professionele ontwikkeling
Snel solliciteren
9 dagen
Data Scientist Intern - QuantumBlack, AI by McKinsey
McKinsey & Company —Amsterdam
- Engels
- Master
- Analytisch vermogen
Senior Data Scientist
Effectory —Amsterdam Centrum
- € 70.000 - € 100.000 per jaar
- Fulltime
- Hybride werken
- Azure
- DevOps
- Master
- Budget voor professionele ontwikkeling
- Flexibele werkuren
Snel solliciteren
Data Analytics Engineer
Xomnia —Amsterdam Centrum
- € 3.800 - € 6.200 per maand
- Fulltime
- Hybride werken
- Azure
- DevOps
- Engels
Snel solliciteren
Head of Data
TBAuctions —Amsterdam Nieuw-West
- € 90.000 - € 110.000 per jaar
- Hybride werken
- Azure
- DevOps
- ERP systemen
Lead Data Engineer
IQVIA —Haarlem
- Fulltime
- Hybride werken
- Bediening
- DevOps
- Engels
Lead Data Scientist, Revenue - Ads, Revenue
Vinted —Amsterdam
- € 86.600 - € 127.400 per jaar
- Hybride werken
- Engels
- SQL
- Analytisch vermogen
- Mentale gezondheidszorgprogramma's
- Budget voor professionele ontwikkeling
Analytics Engineer, Marketing DSA
Vinted —Amsterdam
- € 53.900 - € 72.900 per jaar
- Hybride werken
- Engels
- SQL
- Communicatieve vaardigheden
- Mentale gezondheidszorgprogramma's
- Budget voor professionele ontwikkeling
1 dag
Senior Data Scientist I
Elsevier —Amsterdam
- € 53.800 - € 89.900 per jaar
- Fulltime
- Azure
- Doctor
- Informatica
- Flexibele werkuren

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Senior Data Engineer

TomTom -
Amsterdam

Snel solliciteren

Vacaturegegevens

Fulltime

Secundaire arbeidsvoorwaarden

Budget voor professionele ontwikkeling

Kwalificaties

Cloud infrastructure
Azure
Informatica
Cassandra
Relationele databases
Big data
DevOps
Spark
Master
SQL
Analytisch vermogen
PostgreSQL
Redshift
AI
Python
Datawetenschappen

Volledige vacaturetekst

You'll join a central analytics team that supports product units across the company with their data needs. Rather than serving a single product, we build data systems that work across product teams — machine learning models, AI systems, and visualizations built on top of a wide range of product data sources. A big part of our mission is enabling self-service analytics, and that only works on a strong, reliable data foundation. That foundation is what our data engineers build. We already have data engineers on the team, and we're growing to keep pace with the demand for well-modeled, well-governed data across the organization.

What you'll do

Build the infrastructure and tooling required for optimal extraction, transformation and loading of data from a wide variety of data sources using cloud native big data services from AWS/Azure
Build and maintain the data pipelines that feed our AI systems, including retrieval and knowledge pipelines used by AI agents and RAG applications
Help design and maintain our data and knowledge architecture, including data and knowledge cataloging that makes sources discoverable and usable across AI pipelines
Maintain and operate our Azure infrastructure — provisioning and setting up the right resources, keeping environments healthy, and driving cost optimization and right-sizing (a solid DevOps foundation matters here)
Deploy analytics tools that utilize the data pipeline to provide actionable insights into customer usage, operational efficiency and other analytical and business performance metrics
Work with stakeholders including business analysts and data scientists to assist with data-related technical issues, support their data (infrastructure) needs, and prepare data for modeling and analytics
Support effective, data-driven decision making across stakeholders

What you'll need

Proven experience building and optimizing big data pipelines and architectures on large datasets (tens to hundreds of TB scale), including for AI/ML applications
Working knowledge of stream & batch processing into highly scalable data/metrics stores
Advanced SQL and hands-on experience with relational & non-relational databases like Postgres, Redshift, Cassandra, Data Explorer, etc.
Strong programming skills — Python is a must, Spark a plus
DevOps skills for cloud infrastructure — provisioning resources, infrastructure-as-code, monitoring, and cost optimization (Azure preferred)
Experience with data and knowledge cataloging or data governance tooling is good to have
Experience building big data consumption patterns such as data APIs and visualization platforms is good to have
Degree in Computer Science, Data Science, Data Engineering, or related; a Master's is a plus

What we offer

A competitive compensation package, of course.

Time and resources to grow and develop, including a personal development budget and paid leave for learning days, as well as paid access to e-learning resources such as O’Reilly and LinkedIn Learning.

Time to support life outside of work, with enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities.

Work flexibility, where TomTom’ers, in agreement with their manager and team, use both the office and home to focus, collaborate, learn and socialize. It’s all about getting the best out of both worlds – we ask TomTom’ers to come to the office two days a week, and the remaining three are free to be worked in either location.

Improve your home office with a setup budget and get extra support with a monthly allowance.

Enjoy options to work from your home country and abroad for a set number of days each year, to visit family and friends, or to simply explore the world we’re mapping.

Take the holidays you want with a competitive holiday plan, plus an extra day off to celebrate your birthday.

Join annual events like our Hackathon and DevDays to bring your ideas to life with talented teammates from around the world.

Become a part of our inclusive global culture and have the chance to collaborate with a diverse community – we have over 80 nationalities at TomTom!

Find out more about our global benefits and enjoy additional local benefits tailored to your location.

Meet your team

We’re Search, a product unit within TomTom’s Location Technology Products technical unit. We develop our Search APIs, integrated into other TomTom products and used by TomTom Automotive and Enterprise to provide businesses with the technologies they need to build next-generation location experiences. Joining our team, you will use your ambition and expertise to solve complex problems and work with big data to positively impact lives on a global scale.

At TomTom...

You’ll help people find their way in the world. In 2004, TomTom revolutionized how the world moves with the introduction of the first portable navigation device. Now, we intend to do it again by engineering the first-ever real-time map, the smartest and most useful map on the planet.

Work with a team of 3,300+ unique, curious and passionate problem-solvers. Together, we’ll open up a world of possibilities for car manufacturers, enterprises and developers to help people understand and get closer to the world around them.

After you apply

Our recruitment team will work hard to give you a meaningful experience throughout your journey with us, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-up actions will be thorough, from assessments and interviews all the way through onboarding. To find out more about our application process, check out our hiring FAQs.

TomTom is an equal opportunity employer

TomTom is where you can find your place in the world. Every day we welcome, nurture and celebrate differences. Why? Because your uniqueness is what makes you, you. No matter your culture or background, you’ll find your impact at TomTom. Research also shows that sometimes women and underrepresented communities can be hesitant to apply for positions unless they believe they meet 100% of the criteria. If you can relate to this, please know that we’d love to hear from you.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Snel solliciteren

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data engineer vacatures in 2025 haarlem

Senior Data Engineer

Medior Data Platform Engineer

Data Engineer

Data Engineer Advanced Analytics Platform IV Gegevensdiensten

BI Frontend Developer - Data Insights

Principal Software Engineer I - Marketplace Data & AI

Data Scientist - QuantumBlack, AI by McKinsey

Senior Data Engineer

Senior Data Scientist - Commodity Trading and Risk Management

Data Engineer II

Data Center Test & Commissioning Engineer

Data Engineer

Data Scientist Intern - QuantumBlack, AI by McKinsey

Senior Data Scientist

Data Analytics Engineer

Head of Data

Lead Data Engineer

Lead Data Scientist, Revenue - Ads, Revenue

Analytics Engineer, Marketing DSA

Senior Data Scientist I

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van data engineer in 2025 haarlem

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