Engineering Manager Asset Data & Analytics (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Engineering Manager Asset Data & Analytics (AI/IoT): Leading a multidisciplinary team to develop data products and AI solutions for energy production assets with an accent on predictive maintenance and asset performance. Focus on scaling data foundations, implementing MLOps, and translating business strategy into technical roadmaps.
Location: Hybrid (Rotterdam, NL). Required to work 2-3 days per week at the office
Company
is a sustainable energy company striving to be fully climate-neutral by 2035 through the optimization of production assets.
What you will do
- Lead a multidisciplinary team of Data Engineers, Data Scientists, and Analytics professionals delivering data products for the Assets domain.
- Drive the development of dashboards, machine learning, and AI solutions to improve asset performance and reliability.
- Collaborate with Product Managers and Architects to translate product strategy into actionable delivery plans.
- Build technical capabilities, engineering standards, and MLOps practices to enable delivery at scale.
- Strengthen organizational data foundations and implement self-service analytics.
- Foster a culture of engineering excellence, experimentation, and data-driven decision-making.
Requirements
- Degree in Computer Science, Data Science, Engineering, or equivalent professional experience.
- Proven experience building and leading multidisciplinary teams of data and ML professionals.
- Track record of scaling AI/data products that provide measurable business value.
- Experience establishing data platforms, governance practices, and engineering standards.
- Strong stakeholder management and communication skills.
- Must be based in or be able to work from the Rotterdam HQ (Hybrid)
Nice to have
- Experience in asset-intensive industries such as energy, industrial operations, or reliability engineering.
- Proficiency with Snowflake, Kafka, Databricks, Collibra, and dbt.
- Experience working with IoT and SCADA data sources.
Culture & Benefits
- Hybrid working model: 40% office, 40% home, and 20% flexible.
- FlexBudget that can be paid out, used for extra holiday days, or saved.
- 8% holiday allowance and collective profit sharing or bonus.
- Strong commitment to personal and professional development.
- "Build it, own it" culture, including participation in an on-call rotation.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →