Data Engineer

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.

• Strong understanding of cloud data solutions and modern data platforms (preferably Microsoft Azure or comparable).

• 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, comfortable sharing expertise and helping others to grow.

• Self-driven, structured, and eager to learn new technologies and concepts.

What We Offer

• Work with meaningful and impactful customer projects, leveraging the latest in AI and data technology.

• A supportive and diverse team environment with experienced colleagues committed to knowledge-sharing.

• Flexible work arrangements, including the opportunity for home office and adaptable working hours.

• Opportunity for competence development and personal growth in a rapidly evolving sector (a place to grow).

• Good pension and insurance schemes.

• Freedom to shape your own working life and influence the company's direction.

• Company ownership opportunities for employees.

Our values and attitudes empower us and our customers to rise to new challenges. We thrive on solving problems, exceeding expectations, and building more than just solutions – we build relationships. We deliver to some of Norway's most ambitious businesses, and we're always happy to share our experiences. Our work covers the entire spectrum from digital strategy to development, integration, and management of critical IT solutions.

We are passionate, committed, and genuinely care about our craft, colleagues, clients, partners, and the society we live in. If you want to contribute to a truly collaborative environment and help shape the future of data and AI, we would love to hear from you.