Data Engineer AI
Data engineer designing, building, and maintaining modern cloud data platforms and pipelines for analytics, machine learning, and AI workloads on client projects at a Norwegian IT consultancy. Core stack includes Azure, Microsoft Fabric, Databricks, Azure Data Factory, Snowflake, SQL, Python, Spark, and Power BI, with MLOps involvement.
- Compensation
- Not disclosed
- Location
- Bergen, Norway
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Bachelor's or master's degree in Computer Science, Data Science, Engineering or related field (relevant experience can compensate)
- Hands-on experience with data engineering technologies (e.g. Microsoft Fabric, Databricks, Azure Data Factory, Snowflake, SQL, Python, Spark, Power BI)
- Experience deploying, maintaining, or utilising machine learning and AI solutions in a production environment
- Strong understanding of cloud data solutions and modern data platforms
- Ability to translate business processes and requirements into technical data solutions
- Curious about new AI advancements and data-driven applications
- Collaborative team member with excellent communication skills
- Self-driven, structured, and eager to learn new technologies and concepts
Nice to have
- Microsoft Azure or comparable cloud platform
Full description
Do you want to use your technical expertise in Data Engineering to shape solutions that drive business value and innovation?
Join us!
Do you want to use your technical expertise in Data Engineering and AI to shape solutions that drive business value and innovation? Are you curious about the intersection of artificial intelligence, cloud technology, and advanced data platforms? At Evidi, we are looking for a team player who sees opportunities where others see challenges and who wants to be more than “just tech.”
About the Data Engineer Opportunity
Join a growing company where you can have a real impact on both your day-to-day work and our exciting journey in data-driven innovation. You’ll play a key role in building, optimising, and maintaining modern data platforms, enabling advanced analytics and AI-powered solutions that support our customers’ digital transformation.
About Evidi
As part of our inclusive working environment, you’ll enjoy strong professional development, high participation in team activities, and the support of a dedicated wellbeing leader at each location. Evidi Active also provides opportunities to join or lead sports teams and social events, helping you to connect with colleagues across our organisation.
Key Responsibilities as Data Engineer
- Design, implement, and maintain robust data pipelines and architectures for analytics, machine learning and AI workloads.
- Work closely with business stakeholders, data scientists, and developers to understand requirements and transform them into scalable data solutions.
- Contribute actively to the delivery of projects, taking responsibility for the data and AI aspects in client implementations.
- Evaluate and integrate new tools and technologies, optimising for performance, scalability, and security.
- Document solutions and processes, and provide training to colleagues and end-users when needed.
- Drive usage and best practices of modern data platforms among customers and internally.
- Support the team with advice on data engineering, AI and MLOps, ensuring optimal use of resources and platforms.
Your Skills and Experience
- Bachelor’s or master’s degree in Computer Science, Data Science, Engineering or a related field. Relevant experience can compensate for formal education.
- Hands-on experience with data engineering technologies (e.g. Microsoft Fabric, Databricks, Azure Data Factory, Snowflake, SQL, Python, Spark, Power BI).
- Experience deploying, maintaining, or utilising machine learning and AI solutions in a production environment.