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Data Engineer working in Delivery - Data & AI
Skicka ansökan 152 dagar kvar
Ingenjör Dataingenjör
152 dagar kvar

Arbetsbeskrivning

Responsibilities

As a Data Engineer at Columbus, you’ll be part of a cross-functional team delivering cutting-edge Data & AI solutions to clients across various industries. Your role will focus on building scalable and modern data platforms – enabling everything from advanced analytics and machine learning to real-time dashboards and decision support.

On a typical day, you might be designing and building data pipelines in Azure Data Factory, working with Datalake architectures in Microsoft Fabric, or developing solutions in platforms like Databricks or Snowflake. You'll collaborate closely with solution architects and Business Consultants to ensure valuable data insights to our customers.

We primarily work within Microsoft’s tech stack, and your projects will often involve services like Azure Data Lake, Synapse Analytics, Power BI, and more. Experience or curiosity about Microsoft Fabric is highly valued, as many of our clients are moving in that direction.

Requirements
  • You have hands-on experience building data pipelines and managing data flows in cloud environments, preferably in Azure.
  • You are comfortable working with structured and unstructured data, and familiar with modern data warehousing concepts.
  • You’re able to collaborate with both technical teams and business stakeholders, and communicate fluently in Swedish and English. Please note that this position requires fluency in English & Swedish and requires a Swedish working VISA/Citizenship.
Application

With us, you can easily apply using your LinkedIn profile or CV – no need to fill out long application forms. A cover letter is not required.

As part of our recruitment process, we use logic and personality assessments. We always collect references and conduct a background check before any offer or employment is finalized. Interviews are held on an ongoing basis. If you have any questions, feel free to reach out to the responsible recruiter, Daniel Sparrow.

We use Trustcruit to collect anonymous feedback about your candidate experience. It only takes a few minutes and helps us improve our recruitment process.

About Data & AI at Columbus

Who are we? We’re a team of BI consultants delivering Data and AI projects within Business Intelligence, AI, and Machine Learning. We work closely with consultants from other business areas – Dynamics, M3, and Digital Commerce.

Why do what we do? Because we want to help our clients reach their business goals and make their everyday work more efficient! Our mission is to ensure their long-term success by acting as their Trusted Advisor. We work in close partnership with our clients to optimize their solutions.

Working at Columbus

Columbus is a company where values are at the core, and where dedicated colleagues support each other through both highs and lows. We believe in balance between work and personal life – whether it’s dropping kids off at preschool or waiting for a package delivery “sometime between 8 and 12.” With us, there’s time for recovery, and we work proactively with a strong focus on the future. We also know how to celebrate success – anything from coffee breaks and fancy breakfasts to after-work hangouts at the office – and we love doing it often!

Stay curious, Build trust, Collaborate, Deliver customer success – we dare say our values are more than just words on a wall! They guide our work both internally and externally. From long-term partnerships with our clients and internal initiatives driven by our Culture Ambassadors, to continuous competence development within our business areas and delivering high-quality solutions to our customers.

What others say about us!

Interested in what's going on behind the scenes? Take a loot at our Instagram account where our employees share their story - completely unfiltered and real! Instagram

On Careereye, current and former employees share their unfiltered reviews about what it's like to work with us. Click below to read about their experiences.

Mer info

Anställningsform Vanlig anställning
Publicerad 2025-04-17
Lön Fast månads- vecko- eller timlön
Antal platser 1
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