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Open nowPosted 7 hours ago

Senior Analytics Engineer - Stockholm

Justera Group92 open roles

Where
Solna, Sweden
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Your applicationOpen nowSenior Analytics Engineer - StockholmJustera Group · Solna, Sweden

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  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.

12.4% of postings close within 7 days. Measured by our own scanner across the market. Justera Group postings stay open a median of 16 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.4%7 days
  4. 20.0%14 days
  5. 35.5%30 days
  6. 58.6%60 days
This job: posted 7 hours ago

Justera Group median: 16 days open

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 looking for a Senior Analytics Engineer to join a skilled data and analytics team. In this role, you will build trusted, scalable, and reusable data products that enable advanced analytics, machine learning, and AI-driven solutions.

The role combines analytics engineering, data engineering, and AI enablement. You will collaborate with stakeholders across data, product, and engineering to transform structured and unstructured data into reliable, analytics-ready, and AI-ready assets.

You will play a key role in establishing strong data foundations that support informed decision-making, self-service analytics, and emerging AI capabilities.

Key Responsibilities:

  • Develop a strong understanding of business processes and data domains to enable trusted, governed, and accessible data.
  • Identify, analyze, and prepare data from multiple sources for analytics and AI use cases.
  • Design and develop scalable data models, data products, and data flows supporting reporting, analytics, machine learning, semantic search, copilots, and AI-powered applications.
  • Build, maintain, and optimize automated data pipelines that transform raw data into high-quality, enriched, and reliable datasets.
  • Establish and maintain reusable metrics, semantic models, metadata, data lineage, and data quality frameworks.
  • Improve data platform capabilities by developing reusable components, ingestion frameworks, and solutions for structured and unstructured data.
  • Collaborate with analytics engineers, data engineers, data scientists, AI engineers, analysts, and business stakeholders to deliver scalable solutions aligned with business requirements.
  • Promote best practices in data modeling, data quality, governance, and the development of reusable data assets.

Requirements:

  • Proven experience as an Analytics Engineer, Data Engineer, or in a similar role within a complex, large-scale environment.
  • Strong knowledge of data modeling, data transformation, and analytics engineering principles.
  • Hands-on experience building and maintaining modern data pipelines and data products.
  • Experience working with both structured and unstructured data.
  • Ability to translate business requirements into scalable, reliable, and maintainable technical solutions.
  • Strong communication and stakeholder management skills, with the ability to collaborate across technical and business teams.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.

Preferred Qualifications

  • Demonstrated success delivering impactful analytics solutions and reusable data products.
  • Experience preparing data for AI use cases, including semantic search, retrieval-augmented generation (RAG), copilots, AI agents, or knowledge management solutions.
  • Strong business acumen and the ability to identify opportunities where data and AI can address business challenges.
  • Knowledge of data governance, metadata management, data lineage, data observability, DataOps, DevOps, and Responsible AI principles.
  • Experience working in a product-focused, digital, or consumer-facing environment.
  • Experience or a strong interest in the gaming industry.
  • Excellent problem-solving skills and a proactive, collaborative approach to delivering solutions.

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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