4 beste vacatures voor de functie van data engineer in den haag, zh (nieuwe medewerkers gezocht)

Data Engineer
Mammoet —Schiedam
- € 3.300 - € 6.000 per maand
- Azure
- DevOps
- Master
19 uur
Vacature: BW/Hana Specialist UPO/MPO (Freelance) - View vacancy
Bekijk bedrijf: Nationale-Nederlanden —Rotterdam
- Parttime
- Thuiswerk
- Kantoor
- Master
- Bachelor
5 uur
Data Scientist Delivery Domain
Coolblue —Rotterdam
- Parttime
- Kantoor
- Master
- SQL
- Reiskostenvergoeding
11 uur
Senior Data Engineer
Croonwolter&dros —Rotterdam
- Online sollicitatie
- Azure
- Agile
- Python
- Budget voor professionele ontwikkeling
Snel solliciteren

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In addition, the Office contributes to programme and budget planning and the organisational governance of the Secretariat in areas such as knowledge management,…
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Forward Deployed AI Scientist, Netherlands - BCG X
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Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development…

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Data Engineer

Mammoet -
Schiedam

Nu solliciteren

Vacaturegegevens

€ 3.300 - € 6.000 per maand
19 uur geleden

Kwalificaties

CI/CD
Datamodellering
Azure
DevOps
Git
Master
SQL
Analytisch vermogen
Bachelor
Terraform
Continuous integration
Veiligheid
Schaalbaarheid
AI
Communicatieve vaardigheden
Python

Volledige vacaturetekst

SUMMARY OF THE ROLE:

Data Engineer for Mammoet
€ 3.300 - € 6.000 gross per month (based on experience)
Working in Schiedam, The Netherlands

Ready to shape the future of data in a global organization?

At Mammoet, world leader in heavy lifting and transport solutions, data is a key driver for innovation and decision-making. With the rollout of a new IT landscape in full swing, we are building a modern, centralized data platform that integrates and connects all data initiatives across the organization.

As a Data Engineer, you bring deep expertise in modern cloud-based data engineering, combined with a solid working knowledge of AI and machine learning systems. You play a critical role in transforming raw data into reliable, scalable and high-quality data products that support analytics, reporting and AI-driven use cases worldwide.

SUMMARY OF THE ROLE

As Data Engineer, you are responsible for designing, building and maintaining robust data pipelines and platforms. You ensure the efficient processing, storage and availability of large-scale datasets, while safeguarding data quality, security and performance. You are not only a technical expert, but also a valued partner for the business, translating technical possibilities into practical solutions and continuously exploring innovative ways to improve our data landscape.

WHAT YOU’LL BE DOING:

Design, develop and maintain scalable, cloud-based data pipelines supporting analytics, reporting, IoT data and AI use cases.
Work on data modeling using Data Vault principles to ensure flexibility, scalability and auditability of enterprise data models.
Ensure the efficient processing and storage of large datasets, optimizing performance, reliability and costs.
Collaborate closely with Data Analysts, business stakeholders and Cloud & Security teams to deliver end-to-end data solutions.
Monitor, troubleshoot and improve data pipelines to ensure high data quality and availability.
Provide on-call support and monitoring for critical data pipelines.
Design, deploy and maintain machine learning pipelines and APIs.
Support AI/ML models in production, diagnosing data issues, environment mismatches and inference failures.
Continuously explore new technologies and innovative solutions to improve efficiency, scalability and robustness of the data platform.
Share knowledge and promote data engineering best practices across the organization.

WHAT YOU’LL NEED:

A bachelor’s or master’s degree in a relevant field (e.g. Computer science, Data science or Engineering).
0-5 years of experience in data engineering, with a strong focus on cloud-based environments.
Deep expertise in modern cloud-based data engineering, combined with a solid working knowledge of AI/ML systems.
Strong knowledge of data modeling, including experience with Data Vault principles, data warehousing and ETL/ELT processes.
Proficiency in Python, SQL and PySpark.
Hands-on experience with cloud data platforms such as Azure Synapse, Databricks or Snowflake.
Experience with data orchestration and CI/CD pipelines (e.g. Git, Azure DevOps).
Knowledge of Infrastructure-as-Code (e.g. Terraform, Bicep) is a plus.
Microsoft certifications such as DP-203, AI-900 or equivalent are preferred.
Ability to plan work effectively, meet deadlines and collaborate within a team.
Ability to act as a trusted business partner, translating technical capabilities into business value.
Strong analytical, problem-solving and communication skills.
Awareness of data ethics, security and responsible data usage.

We recognize that no candidate matches every requirement perfectly. If you recognize yourself in this role and are excited to grow and learn, we strongly encourage you to apply.

WHAT YOU’LL GET:

A challenging role in a global organization undergoing major IT and data transformation.
The opportunity to work on a modern cloud-based data platform and cutting-edge AI initiatives.
A collaborative and international team of data and IT professionals, working from Schiedam and Dubai.
Plenty of room for professional growth and development.
A competitive salary and attractive benefits package.

WANT TO KNOW MORE?:

Get in touch – email Shai Ponit ([email protected])
Take a look at mammoet.com

#mammoetcareers

#ITjobs

#madeformammoet

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data engineer vacatures in den haag, zh

Data Engineer

Vacature: BW/Hana Specialist UPO/MPO (Freelance) - View vacancy

Data Scientist Delivery Domain

Senior Data Engineer

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