20 beste vacatures voor de functie van data analist in gemeente maassluis (nieuwe medewerkers gezocht)

Full-Stack Data Engineer
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- € 83.000 - € 117.000 per jaar
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Apeiron Insight —Rijswijk
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Aramco —Den Haag
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Business Analist
Goudwisselkantoor —Klaaswaal
- € 5.200 - € 6.200 per maand
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- Reiskostenvergoeding
Snel solliciteren
Client Account Executive (NL)
Apeiron Insight —Rijswijk
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Business Analyst Intern – Food Service
Shell —Rotterdam
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1 dag
Qlik Consultant
The Digital Neighborhood B.V. —Rotterdam
- Hybride werken
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Chemisch Analist Allround
SGS —Spijkenisse
- € 2.600 - € 3.500 per maand
- Weekendbeschikbaarheid
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Senior Data Engineer / Data Architect
Lefebvre Sdu —Den Haag
- Fulltime
- Hybride werken
- SQL
- Bachelor
- Python
- Winstdeling
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Advisor Job
Aramco —Den Haag
- Microsoft Powerpoint
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Trainee BI/EPM consultant
Swap Support —Den Haag
- Fulltime
- Hybride werken
- Oracle
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Business Analyst Intern – Food Service
Shell Energy —Rotterdam
- Fulltime
- Microsoft Excel
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- Flexibele werkuren
1 dag
Business (IT) analist
ANWB —Den Haag
- € 3.644,88 - € 5.849,10 per maand
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- Engels
- Analytisch vermogen
- Bachelor
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1 dag
Java Software Engineer Electromagnetics & Military Operations
TNO —Den Haag
- € 3.500 - € 7.700 per maand
- Parttime
- Microsoft Excel
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6 dagen
Domain Architect - Energy trading
Eneco —Rotterdam
- € 80.000 - € 130.000 per jaar
- Hybride werken
- ICT
- Winstdeling
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Senior Digital Finance Analyst Job
Aramco —Den Haag
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- Bachelor
Business Analist - Pensioenen
CGI —Rotterdam
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Full-Stack Data Engineer

Eneco -
Rotterdam

Nu solliciteren

Vacaturegegevens

€ 83.000 - € 117.000 per jaar

Secundaire arbeidsvoorwaarden

Winstdeling
Werk vanuit huis
Flexibele werkuren

Kwalificaties

CI/CD
Datamodellering
Kubernetes
DevOps
Spark
NoSQL
Java
Databases
SQL
PostgreSQL
Scala
REST
Unity
APIs
ICT
DynamoDB
Python
Spring
Debuggen

Volledige vacaturetekst

- > 5 jaar

- Tech
- €83.000 - €117.000

Deel op social media:

Full-Stack Data Engineer

- Eneco - Rotterdam
- Tech
- > 5 jaar
- €83.000 - €117.000

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.

Join a purpose-driven team where your data engineering expertise directly accelerates Eneco’s mission to become the first CO₂-neutral energy company by 2035.
Work with cutting-edge cloud technologies and diverse data sources—from smart meters to wind turbines—to build impactful, scalable data solutions from the ground up.
Grow in a collaborative environment that values continuous learning, shared ownership, and technical excellence while shaping the future of data-driven innovation.

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. To make it happen, we are dedicated to offering our customers innovative digital capabilities and smart solutions. Our Digital Core team is working towards creating an exceptional online customer experience, through modernizing the Eneco chat, app and web environments. We are striving to deliver a superior digital customer experience that will stimulate and make it easier for our customers to become greener every day.

What you’ll do

As a Full Stack Data Engineer, you will play a crucial role in setting up and leading technical decisions for our cloud-based data platform. We are specifically looking for someone that will contribute to a combination of Cloud Infrastructure setup, maintain API server, and develop streaming / batch Data processing pipeline. You will be working on an exciting IOT product (smart thermostat, energy insight, smart charging) for our consumers.

Is this about you?

Must Have:
- Previous experience of REST API development (e.g. Spring or FastAPI).
- Understanding of streaming data ingestion and processing.
- Previous experience working with MPP data platforms such as Spark. Working experience using Databricks and Unity Catalog is a plus.
- Proficiency in programming languages (Java, Scala, and Python).
- Knowledge of software engineering best practices: code reviews, version control, testing, and CI/CD
- Genuine interest in DevOps/SRE principles for production deployment.
Nice to Have:
- Working experience with high volume time series data.
- Knowledge of data modeling and architecture patterns.
- Experience deploying applications to Kubernetes, with skills in monitoring (Grafana) and debugging.
- Knowledge with cloud provider (e.g. AWS). Infrastructure as code (IAC) is a plus.
- Experience with NoSQL databases (e.g. DynamoDB) and RDBMS (e.g. Postgres).
- Proficiency in SQL and DBT (Data Build Tool) with Snowflake.
- Familiarity or interest with MLOps and data science techniques.

You’ll be responsible for

Setting up projects and leading technical decisions involving real time time-series data in Databricks (scala) environments.

Empowering other departments by making data accessible and usable, driving Eneco’s digital innovations forward.

Design and implement cloud solutions to handle product requirements.

Shape the product by providing technical advice to the product manager or other team.

Ensuring our solutions are robust, scalable, cost efficient and ready to meet future challenges

This is where you’ll work

You will be working together with other Data Engineers, Machine Learning Engineers, Data Scientists and Data Analysts. Together, you will shape IOT products that will transform how our consumers use their energy. Within the team, we encourage learning, actively seek out collaboration, celebrate successes, and learn from failures.

What we have to offer

Gross annual salary between €83.000 and €117.000

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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data analist vacatures in gemeente maassluis

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van data analist in gemeente maassluis

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Zoek vacatures in meer locaties

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 €83.000 and €117.000

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?