Engineering Manager Asset Data & Analytics

• 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.

• 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.

• 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.

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.