13 beste vacatures voor de functie van machine learning in den haag laak (nieuwe medewerkers gezocht)

Senior Full-Stack Data Engineer
Eneco —Rotterdam
- € 88.000 - € 131.000 per jaar
- Hybride werken
- Azure
- DevOps
- SQL
- Winstdeling
- Werk vanuit huis
2 uur
Python Consultant
FreshMinds —Leiden
- € 85.000 - € 110.000 per jaar
- Fulltime
- Hybride werken
- Azure
- DevOps
- Databases
- Budget voor professionele ontwikkeling
Snel solliciteren
Power Platform & AI Engineer
Robeco —Rotterdam
- Fulltime
- Azure
- Troubleshooting
- DevOps
Senior .NET Developer (AI first)
Scan Sys —Nootdorp
- Hybride werken
- Azure
- DevOps
- AI
- Reiskostenvergoeding
- Flexibele werkuren
Snel solliciteren
Data & AI Traineeship
Veneficus B.V. —Rotterdam
- € 2.700 - € 3.300 per maand
- Fulltime
- Hybride werken
- Java
- Master
- Analytisch vermogen
Snel solliciteren
Data Engineer
Good Company —Den Haag
- Online sollicitatie
- Informatica
- Analytisch vermogen
- Communicatieve vaardigheden
AI Data Architect
Xuntos —Den Haag
- E-mail
- Azure
- Machinaal leren
- AI
PKI-CLM Engineer (Managed Services)
Nomios —Leiden
- Fulltime
- Hybride werken
- Azure
- Engels
- Windows
Snel solliciteren
Infrastructure Engineer
Intermax —Rotterdam
- € 4.000 - € 6.000 per maand
- Fulltime
- Hybride werken
- Ziekenhuis
- Bachelor
- EPD-systemen
- Winstdeling
- Reiskostenvergoeding
Consultant Data Engineer - Google Cloud (GCP)
Sia —Rotterdam
- Fulltime
- Hybride werken
- Azure
- DevOps
- Engels
Snel solliciteren
Full-Stack Data Engineer
Eneco —Rotterdam
- € 83.000 - € 117.000 per jaar
- Hybride werken
- DevOps
- Java
- Databases
- Winstdeling
- Werk vanuit huis
Mechanisch Engineer
WPS —De Lier
- Microsoft Office
- Communicatieve vaardigheden
Senior AI Architect - Telecommunicatie
CGI —Rotterdam
- Hybride werken
- Informatica
- Azure
- Informatica
- Flexibele werkuren
Snel solliciteren

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13 dagen

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Senior Full-Stack Data Engineer

Eneco -
Rotterdam

Nu solliciteren

Vacaturegegevens

€ 88.000 - € 131.000 per jaar
2 uur geleden

Secundaire arbeidsvoorwaarden

Winstdeling
Werk vanuit huis
Flexibele werkuren

Kwalificaties

CI/CD
Azure
DevOps
Spark
SQL
Analytisch vermogen
Terraform
Continuous integration
Unity
Python

Volledige vacaturetekst

- > 5 jaar

- Data & AI
- €88.000 - €131.000

Deel op social media:

Senior Full-Stack Data Engineer

- Eneco - Rotterdam
- Data & AI
- > 5 jaar
- €88.000 - €131.000

Apply

Good to know: you can easily save this vacancy using the print button at the top of the page. After the closing date, this vacancy will be removed from our website.

Work at the intersection of Data Engineering, Platform Engineering and Quantitative Analytics within the energy trading domain.
Build and productionize data solutions using Azure, Databricks, Python, SQL and Spark across batch and streaming workloads.
Help transform analytical prototypes into scalable, reliable and maintainable data products while supporting the wider data platform migration.

Why choose Eneco?

The One Planet strategy we are committed to here at Eneco sets an ambitious goal to be climate neutral by 2035. We want to achieve that goal for both us and our clients. As a Senior Data Engineer, you’ll contribute from within the energy trading domain, working at the intersection of Data Engineering, Platform Engineering and Quantitative Analytics. You’ll help turn analytical solutions into reliable, production-grade data products while contributing to the evolution of our data platform and engineering practices. This is a role where strong engineering goes hand in hand with understanding the business challenges behind the technology.

What you’ll do

Act as an embedded engineer within a business-facing analytics and quantitative team.

Lead and support the team through ongoing data platform migration initiatives.

Design and maintain reliable Azure-based data pipelines and data products.

Convert analyst-developed Python notebooks into tested, maintainable production solutions.

Deploy, monitor and support Azure Databricks workloads in production.

Work closely with analysts and quantitative specialists to understand business objectives and translate them into scalable technical solutions.

Help professionalize the development of lifecycle through testing, CI/CD, automation, monitoring and documentation.

Optimize data transformations, models, and reporting workloads.

Provide technical guidance and help colleagues with varying levels of engineering maturity adopt sustainable engineering practices.

Is this about you?

You have:

A strong Data Engineering background in Azure cloud environments.
Hands-on Azure Databricks experience, including Spark, Delta Lake, Workflows and Unity Catalog.
Strong Python and SQL skills.
Experience building batch and streaming data pipelines.
Experience turning notebooks and analytical prototypes into production-grade solutions.
Knowledge of testing, code reviews, CI/CD and software engineering best practices.
Experience working directly with analysts, data scientists, quantitative specialists or business-oriented teams.
A strong ability to balance business understanding with technical execution.
Experience with Azure services such as ADLS Gen2, Azure DevOps, Key Vault, Data Factory or equivalent.
Experience contributing to platform migration or modernization initiatives.

Nice to have:

Machine Learning Engineering or MLOps experience.
Terraform or Bicep.
Azure monitoring and observability tooling.
DataOps practices and orchestration frameworks.
Dashboard performance optimization and semantic modeling.

You’ll be responsible for

As a Senior Data Engineer, you’ll work as an embedded engineer within a business-facing analytics and quantitative team. You’ll help develop and maintain reliable data solutions while supporting the team through its data platform migration and strengthening engineering practices.

Design and maintain reliable Azure-based data pipelines and data products.
Deploy, monitor and support Azure Databricks workloads in production.
Turn analyst-developed Python notebooks and analytical prototypes into tested, maintainable production solutions.
Work closely with analysts and quantitative specialists to translate business objectives into scalable technical solutions.
Build and support batch and streaming data pipelines.
Help improve the development lifecycle through testing, CI/CD, automation, monitoring and documentation.
Optimize data transformations, models and reporting workloads.
Provide technical guidance and help colleagues adopt sustainable engineering practices.
Lead and support the team through ongoing data platform migration initiatives.

This is where you’ll work

You’ll be part of a business-facing team within the energy trading domain, working at the intersection of Data Engineering, Platform Engineering and Quantitative Analytics. You’ll work closely with analysts and quantitative specialists to understand business objectives and translate them into scalable technical solutions.

The environment is built around Azure and Azure Databricks, with the team developing and maintaining data pipelines and data products while progressing through an ongoing data platform migration. An important part of the work is strengthening engineering practices across testing, CI/CD, automation, monitoring and documentation.

What we have to offer

Gross annual salary between €88.000 and €131.000

Including FlexBudget, 8% holiday allowance, and depending on your role a bonus or collective profit sharing.

FlexBudget

Including FlexBudget, 8% holiday allowance, and depending on your role a bonus or collective profit sharing. Have it paid out, use it to buy extra holiday days or save it up for something nice, it's up to you.

Personal and professional growth

Eneco is fully committed to help you in your personal and professional development.

Hybrid working: home, office or abroad

Work 40% at the office, 40% from home, and 20% flexibly. With manager approval, you may work abroad (within approved countries) up to 3 weeks/year, max 2 consecutively.

Want more information about our terms of employment?

Here's what you get from us

Work Where Everyone Matters

When you choose a career at Eneco, you choose ambition, growth, and opportunity in an environment where everyone matters. You’re given the space to develop yourself and to do your work in a way that suits you. We believe that different perspectives, nationalities, and backgrounds make us stronger, which is why we foster an open, safe and inclusive culture. Naturally, we also prioritize a healthy work-life balance, flexible working hours, and the option to work from home when your role allows it. If you have a physical or sensory disability, we will work with you to find the right adjustments so you can perform your job well.

This is how you build your own future and a sustainable future at the same time. Together with 4,000 colleagues, each with their own talents and ideas, you work on our shared mission: speeding up the energy transition. We help customers become more sustainable faster, create innovative solutions, and seize new opportunities. Will you join us?

The phases of our application procedure

Want to know more about this job function?

Contact our recruiter at: [email protected]

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machine learning vacatures in den haag laak

Senior Full-Stack Data Engineer

Python Consultant

Power Platform & AI Engineer

Senior .NET Developer (AI first)

Data & AI Traineeship

Data Engineer

AI Data Architect

PKI-CLM Engineer (Managed Services)

Infrastructure Engineer

Consultant Data Engineer - Google Cloud (GCP)

Full-Stack Data Engineer

Mechanisch Engineer

Senior AI Architect - Telecommunicatie

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Ik wil de nieuwste vacature-alerts ontvangen voor de functie van machine learning in den haag laak

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Senior Full-Stack Data Engineer

Why choose Eneco?

What you’ll do

Is this about you?

You’ll be responsible for

This is where you’ll work

What we have to offer

Gross annual salary between €88.000 and €131.000

FlexBudget

Personal and professional growth

Hybrid working: home, office or abroad

Want more information about our terms of employment?

Work Where Everyone Matters

The phases of our application procedure

Want to know more about this job function?

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