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Open nowPosted 9 hours ago

Data Engineer

Justera Group92 open roles

Where
Malmö, Sweden
Work mode
On site
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Your applicationOpen nowData EngineerJustera Group · Malmö, Sweden

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Justera Group's own form.

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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 3.5%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 33.9%30 days
This job: posted 9 hours ago

The posting

About Justera Group Justera Group AB is a leading Swedish IT consulting firm with great experience specializing in building high-performing technology teams and delivering end-to-end IT solutions. Led by dynamic female executives, Justera Group focuses on helping businesses harness the power of digital technologies to continuously evolve in today’s rapidly changing economy. The company has deep expertise in IT consultancy, software development, and recruitment services, providing clients with purpose-driven, well-trained consultants who consistently deliver efficient and effective results. Justera Group manages the entire talent lifecycle, from hiring to ongoing management, ensuring the right fit for each project on time and within budget. With their strong commitment to quality, collaboration, and client success, Justera Group is a trusted partner for technology innovation across Sweden.

About the Role: We are now looking for a Data Engineer. You will join a team building digital products that provide performance insights across Customer Meeting Points (CMPs) and franchisees. The goal is to consolidate data from multiple business systems into trusted, scalable, and automated data products supporting reporting, analytics, governance, business decision-making, and continuous improvement.

As a Data Engineer, you will design, build, and maintain automated data solutions for CMP and Franchisee Performance Evaluation products. You will help transform manual and fragmented reporting into a reliable, centralized analytics ecosystem, ensuring data accuracy, validation, version control, and auditability.

Key Responsibilities:

  • Design, build, and maintain automated, scalable data solutions for CMP and Franchisee Performance Evaluation.
  • Work across the full data engineering lifecycle, from ideation, architecture, and requirements to development, testing, deployment, and operational follow-up.
  • Design and implement end-to-end data pipelines, including ingestion, transformation, and serving layers for both batch and streaming data.
  • Work with data modelling and lakehouse architecture best practices.
  • Connect and consolidate data from multiple business systems into a unified and reliable data ecosystem.
  • Ensure data quality through validation, monitoring, performance optimization, troubleshooting, version control, and auditability.
  • Contribute to technical design, estimation, sprint planning, documentation, and deployment.
  • Build clean, scalable, resilient, reusable, and cost-efficient data solutions using cloud-native technologies.
  • Communicate data architectures, pipelines, and technical trade-offs clearly to technical and non-technical stakeholders.

Requirements:

  • Proven experience designing and implementing end-to-end data pipelines, including batch and streaming data.
  • Hands-on experience with Databricks, including Apache Spark, Delta Lake, job orchestration, performance tuning, and environment management.
  • Strong knowledge of Microsoft Azure, particularly Azure Data Lake Storage.
  • Solid understanding of data modelling and lakehouse architecture.
  • Experience with DevOps practices, including Git/source control, CI/CD pipelines, automated testing, environment promotion, and Infrastructure as Code.
  • Strong understanding of data engineering guidelines, release processes, data validation, monitoring, and production troubleshooting.
  • Comfortable contributing to solution design and working throughout the complete data engineering lifecycle.
  • Strong communication skills and ability to explain technical concepts and trade-offs to non-technical stakeholders.

You will work with:

  • Databricks – Apache Spark, Delta Lake, notebooks, job orchestration, and performance optimization.
  • Microsoft Azure – including Azure Data Lake Storage.
  • DevOps & CI/CD – version control, automated testing, deployment pipelines, and Infrastructure as Code.

What We Offer:

  • A dynamic and innovative workplace driving advancements in cutting-edge robotic technologies
  • The opportunity to collaborate with talented cross-functional teams on meaningful and impactful projects
  • Competitive compensation and comprehensive benefits package
  • A supportive culture that fosters continuous learning, growth, and professional development
  • Flexible hybrid working model for an optimal work-life balance
  • 25 days of annual leave to recharge and relax
  • An annual wellness allowance of 3,500 SEK to support your health and wellbeing
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