Analytics Engineer

Redeploy is a powerhouse of cloud, data, and AI expertise. Our certified strategists, architects, developers, and engineers craft and implement cloud-native solutions, from the initial vision and strategy to developing, migrating, and managing cloud environments. Our teams across Sweden, Lithuania, and Poland assure enterprises of a comprehensive and integrated approach to their journey, focusing on reliable, secure, and efficient solutions. For more information, go to redeploy.com/about

We’re Redeploy. A tech consultancy built for people who want to grow, make a difference and have a good time doing it.

We design, build, scale and maintain modern solutions across Cloud, Data and AI, helping ambitious companies across the Nordics transform how they work with technology. As a trusted partner to Microsoft, AWS and Databricks, we deliver platforms that are built for impact and built to last.

What sets us apart is the way we work. Curiosity runs deep here, as does the drive to keep learning and sharing. You’ll join a team that values ownership, collaboration and high technical standards, and where people genuinely care about doing things well. For our clients. And for each other.

What you’ll do

You’ll be part of our Business Solutions competence area, where we help organizations make better decisions by shaping how data is structured, modeled and communicated.

You will work as a consultant, which means working with different companies and contexts over time. Your role spans the full analytics lifecycle: understanding business needs, shaping data and reporting logic, designing semantic models and supporting users in how to work with the insights created. You’ll collaborate closely with Data Engineers, Cloud Engineers and Solution Architects in team-based deliveries.

Examples of the kinds of projects you might work on

• Modernising a customer’s reporting environment into Microsoft Fabric, including building semantic models and curated data sets
• Designing a data model that reflects how a sales or operations process actually works, so the business can trust and use the insights
• Establishing self-service analytics capabilities where teams can explore data safely and consistently without relying on one “BI person”
• Supporting end users in understanding how to interpret dashboards and metrics, and how to apply them in decision-making

The focus is on structure, clarity and adoption. We build solutions that are used, not just delivered. Most importantly, your work will directly influence how organizations turn data into decisions, shaping strategies and outcomes.

What you’ll grow into

You’ll work in a team of specialists who care about the craft. Here, you’ll have the chance to deepen your skills in analytics engineering, data modelling and how to design solutions that hold up over time. Learning happens naturally through collaboration, knowledge sharing and real delivery work.

We support growth through certifications, mentorship and opportunities to lead solution design, and there are different directions for you to go into, for example:

• Becoming stronger in solution and data model architecture
• Taking more ownership in guiding clients and shaping delivery
• Developing toward leadership within the competence area

Growth here is supported and shared. You won’t be expected to drive it alone.

Who we’re looking for

You enjoy the technical side of analytics. You like understanding how data should be structured, how logic should be modelled and how a solution holds together over time. You thrive in dynamic environments and enjoy translating complexity into clarity.

You collaborate well with others and communicate in a way that makes things easier to understand. You are curious, reflective and comfortable guiding discussions with both technical and non-technical stakeholders. You value shared learning and believe good solutions are shaped together, not alone.

If you find energy in solving real problems, building things properly and helping others make sense of data, you’ll fit well here.

What experiences you bring

You have a technical educational background (for example Computer Science, Information Technology or Engineering) and experience working in a modern data environment. You are comfortable working hands-on with data modelling and logic, and you communicate clearly in English. Swedish is a plus but not a requirement. Other than that, you also have:

• Experience with Microsoft data technologies such as Fabric and Azure data services
  
• Strong SQL skills for modelling and transformation
• Hands-on Power BI experience (data modelling and DAX)
• Understanding of data modelling patterns (dimensional, lakehouse, medallion)
• Familiarity with Git-based collaboration
  

We welcome diverse perspectives and believe they make our solutions stronger, but we primarily work with the Microsoft Analytics stack and that’s where we’ve built our depth and best practices. If your experience comes from another ecosystem, we’re still open to talking.

Curious to learn more before applying? Have a look around our career site to explore our culture, people and way of working. And if you have any questions, feel free to reach out to our Talent Acquisition Manager, Francisca Andersson.