13 beste vacatures voor de functie van data scientist asset in de kieviet (nieuwe medewerkers gezocht)

Engineering Manager Asset Data & Analytics
Eneco —Rotterdam
- € 95.000 - € 140.000 per jaar
- Parttime
- Hybride werken
- Winstdeling
- Werk vanuit huis
Internship: Climate Risk & Resilience
Pharming Group —Leiden
- Thuiswerk
- Onderzoek
- Analytisch vermogen
- Stage
16 uur
Junior Environmental Soil and Groundwater Consultant
AECOM —Den Haag
- Hybride werken
- Engels
- Master
- Analytisch vermogen
3 dagen
Medior Data Scientist / Machine Learning Engineer
Allianz —Rotterdam
- Vanaf € 5.200 per maand
- Parttime
- Doctor
- Engels
- Master
- Reiskostenvergoeding
1 dag
Post-Doc in Atmospheric Science and Machine Learning
SRON —Leiden
- Tot € 5.758 per maand
- Fulltime
- Doctor
- Engels
- Onderzoek
- Flexibele werkuren
Vacature: GenAI Engineer - Asset Reuse Team - View vacancy
Bekijk bedrijf: Nationale-Nederlanden —Den Haag
- € 5.339 - € 7.119 per maand
- Fulltime
- Azure
- Informatica
- DevOps
Junior Treasury Manager
Siemens Healthineers —Zoetermeer
- E-mail
- Hybride werken
- Doctor
- Engels
- Financiën
Specialty Lab Liaison - Project Manager
Cerba Research —Rotterdam
- Fulltime
- Hybride werken
- Doctor
- Engels
- Onderzoek
Snel solliciteren
1 dag
Mission Performance Engineer -Temporary [26111]
HE Space —Noordwijk
- Fulltime
- Hybride werken
- Engels
- Master
- Analytisch vermogen
Snel solliciteren
Senior Machine Learning Engineer
Eneco —Rotterdam
- € 88.000 - € 131.000 per jaar
- Hybride werken
- Java
- Begeleiding
- Python
- Winstdeling
- Werk vanuit huis
3 dagen
Vacature: GenAI Engineer - Assetization Team - View vacancy
Bekijk bedrijf: Nationale-Nederlanden —Den Haag
- € 4.527 - € 6.036 per maand
- Fulltime
- Azure
- Informatica
- DevOps
Lead InSAR Engineer
SkyGeo —Delft
- Fulltime
- Doctor
- Engineering
- Master
Snel solliciteren
Commercial Data & AI Lead
Schuberg Philis —Rotterdam
- Parttime
- Verkoopervaring
- Presentatievaardigheden
- AI

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Engineering Manager Asset Data & Analytics

Eneco -
Rotterdam

Nu solliciteren

Vacaturegegevens

Parttime | Fulltime
€ 95.000 - € 140.000 per jaar

Secundaire arbeidsvoorwaarden

Winstdeling
Werk vanuit huis
Flexibele werkuren

Kwalificaties

Kafka
Datawetenschappen

Volledige vacaturetekst

- > 5 jaar
- 32 - 40 uur

- Tech
- €95.000 - €140.000

Deel op social media:

Engineering Manager Asset Data & Analytics

- Eneco - Rotterdam
- Tech
- > 5 jaar
- €95.000 - €140.000
- 32 - 40 uur

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.

You lead the team that turns data from wind farms, solar parks and batteries into better performance and fewer outages.
You build data products, analytics and AI end to end: from data foundation to dashboards and machine learning in production.
You shape how data and AI support Eneco's growing portfolio of production assets, together with Product Managers, Architects and platform teams.

Why choose Eneco?

At Eneco we work towards one clear goal: being fully climate-neutral, for ourselves and our customers, by 2035. That goal depends on production assets that run reliably and at peak efficiency, every hour of the day.

Your team makes that possible. You use data from our energy production assets to predict problems before they happen, to improve output and to help colleagues make faster, better decisions. You also help shape how Eneco works with data, analytics and MLOps as a whole. You do this in an engineering culture where teams own what they build, share knowledge and get room to experiment.

What you’ll do

You lead a multidisciplinary team of Data Engineers, Data Scientists and Analytics professionals who deliver and run data products for the Assets domain.
You work closely with Product Managers and Architects to turn product strategy and business priorities into delivery that lands.
You drive the development of dashboards, analytics, machine learning and AI solutions that improve asset performance and reliability.
You build the technical capabilities, engineering practices and ways of working that let your team deliver at scale.
You strengthen the data foundations that make data products across the organisation reliable and trusted.
You help business and engineering teams help themselves, through self-service data and analytics.
You grow a culture of engineering excellence, experimentation and data-driven decision-making.

Is this about you?

You have a WO working and thinking level in Computer Science, Data Science, Engineering or a related field, or you built the same level through experience.
You have built, developed and kept together multidisciplinary teams of Data Engineers, Data Scientists, Machine Learning Engineers and Analytics professionals.
You have delivered and scaled data, analytics or AI products that made a measurable difference to the business.
You have set up data platforms, governance practices and engineering standards that help teams work well at scale.
You can set technical direction and balance innovation with operational excellence and long-term maintainability.
You are strong in stakeholder management and communication, and you can bring different people around one vision and set of priorities.
Experience in an asset-intensive industry such as energy, industrial operations, asset management or reliability engineering is a real plus.
Experience with Snowflake, Kafka, Databricks, Collibra and dbt is welcome, as is working with IoT and SCADA data sources.
At Eneco Tech, you build it, you own it. That is why Engineering Managers take part in the on-call rotation together with their team.
Most of all, you enjoy developing people and creating an environment where a team can do its best work.
Recognise yourself in most of this, but not every requirement? We'd still love to hear from you.

You’ll be responsible for

A high-performing, collaborative and inclusive team, where people grow, perform and stay engaged.
The delivery and daily operation of data, analytics, machine learning and AI products for asset performance and reliability.
The team's technical direction, engineering standards, solution quality and platform reliability.
Translating Eneco's data strategy into concrete roadmaps, delivery plans and capabilities within the Assets domain.
Delivery against agreed objectives, with a healthy balance between quality, speed, risk, budget and stakeholder expectations.
Clear metrics and operational insight, so you spot risks early and keep improving.
Bringing best practices and cross-domain collaboration to Eneco's wider data, analytics and AI community.

This is where you’ll work

You join the Assets domain within Eneco Tech, based at our Rotterdam HQ. In this domain we connect, monitor, control and analyse energy production assets, large and small. You lead a team of Data Engineers, Data Scientists and Analytics professionals, and you work closely with Product Managers, Architects, platform teams and colleagues from asset development, operations, trading and security, plus external partners and vendors. We work 2 to 3 days a week at the office.

What we have to offer

Gross annual salary between €95.000 and €140.000

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

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data scientist asset vacatures in de kieviet

Engineering Manager Asset Data & Analytics

Internship: Climate Risk & Resilience

Junior Environmental Soil and Groundwater Consultant

Medior Data Scientist / Machine Learning Engineer

Post-Doc in Atmospheric Science and Machine Learning

Vacature: GenAI Engineer - Asset Reuse Team - View vacancy

Junior Treasury Manager

Specialty Lab Liaison - Project Manager

Mission Performance Engineer -Temporary [26111]

Senior Machine Learning Engineer

Vacature: GenAI Engineer - Assetization Team - View vacancy

Lead InSAR Engineer

Commercial Data & AI Lead

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van data scientist asset in de kieviet

Zoek vacatures in meer locaties

Engineering Manager Asset Data & Analytics

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 €95.000 and €140.000

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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