About Everience
Everience is an international consulting group delivering AI-augmented digital services and placing people at the heart of the AI revolution. With a presence in Europe, Africa, Asia and America, Everience offers its 4,000-strong workforce a demanding and stimulating environment in which to transform and develop their skills, learning about new AI-based roles and building their future employability. Through its Symbiotic Academy the group offers a hub for training, practical application and exchange where everyone can experiment, learn, and progress in the fields of artificial intelligence and data. In accordance with its core purpose of orchestrating the symbiotic relationship between humans and AI in the workplace, Everience is making the augmented employee the driving force of a "symbiotic age", where AI enhances talents and opens up new career opportunities.
Role
For one of our clients in the Dutch energy sector, we are looking for an experienced Data Engineer to develop and maintain scalable data solutions supporting data-driven decision-making and the energy transition. You will work with modern cloud and data technologies and collaborate with Data Scientists, Analysts, Architects, Product Owners and business stakeholders.
Responsibilities
•Design, build and maintain scalable data pipelines and data platforms
•Develop ETL/ELT processes and data integrations
•Transform complex datasets into reliable and reusable data products
•Build and maintain cloud-based data solutions
•Ensure data quality, reliability, security and performance
•Work with stakeholders to translate business requirements into technical data solutions
•Collaborate with Data Scientists, Analysts, Architects and other engineering teams
•Contribute to data-platform modernisation and cloud migration projects
•Implement automated testing and CI/CD practices
•Help establish and improve data-engineering standards and best practices
Requirements
•3+ years of experience as a Data Engineer or similar role
•Experience within the Dutch energy, utilities, renewable-energy or infrastructure sector
•Strong knowledge of Python and SQL
•Experience developing ETL/ELT pipelines
•Experience with Azure or another major cloud platform
•Experience with modern data platforms such as Databricks, Microsoft Fabric, Azure Synapse or Snowflake
•Understanding of data modelling, data quality and data governance
•Experience working in Agile and/or DevOps environments
•Strong analytical and problem-solving skills
•Excellent Dutch and English communication skills and the ability to work with both technical and business stakeholders
•Relevant cloud or data-engineering certifications are a plus, particularly Azure, Databricks or cloud-data-platform certifications
Domain knowledge areas
Energy trading, renewable energy, electricity and gas, energy networks and grid infrastructure, utilities, smart meters and IoT, energy consumption and forecasting, asset data, energy markets, energy transition and sustainability, customer or billing data.
