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Apotea Sverige AB
Heltid 📍 Stockholm Data/IT
Senior Data Engineer - Data & AI
Apotea Sverige AB

Tech Innovation at Apotea Apotea is Sweden’s largest online pharmacy.
We are building the next generation of e-commerce and logistics with AI, automation and deep domain expertise.
Our Tech vision is to create AI-driven and automated systems that give humans better control, insight and the ability to apply their expertise where it matters most.

Our Data and AI team builds AI and ML applications that improve customer experience, streamline operations and create a foundation for future innovation.
We develop end-to-end AI applications on modern data and AI architectures, with a clear focus on production value — not just proofs of concept.

The Role As a Senior Data Engineer, you will design, build and evolve end-to-end data solutions that power analytics, experimentation and AI/ML use cases across Apotea.

This is a product-oriented role where you work closely with ML engineers, software engineers, product managers and business stakeholders to make data trustworthy, well-modeled and usable — from ingestion to dashboards and ML models in production.

You will own the full data lifecycle: collection, modeling, validation, transformation and consumption.
You will help enable A/B testing, understand and communicate business metrics, and turn data into insights and concrete actions.

At Apotea, we value engineers who balance development speed with long-term quality.
You will help improve our data platform and set standards that allow teams to move fast without sacrificing reliability.

Key Responsibilities

End-to-End Data Ownership:

  • Design, build and operate data pipelines for analytics, A/B testing and AI/ML use cases.

  • Take responsibility for long-term evolution of data solutions, not only initial delivery.

Data Modeling & Analytics Enablement:

  • Design analytical data models for business metrics, experimentation and decision-making.

  • Translate business KPIs into robust and trustworthy data models.

Real-Time & Event-Driven Data:

  • Work with software engineers to design real-time and event-driven data collection pipelines.

  • Ensure ingestion pipelines are scalable, cost-efficient and resilient.

Data Quality, Validation & Reliability:

  • Implement validation and quality checks for freshness, volume, schema and distributions.

  • Define and monitor data SLAs/SLOs.

  • Build strategies for backfills, reprocessing and recovery from data issues.

Platform Maturity & Engineering Excellence:

  • Contribute to Apotea’s data platform architecture.

  • Improve standards, tooling and best practices across the platform.

  • Work with CI/CD and Infrastructure as Code for reliable deployments.

We are looking for someone with:

  • Strong experience as a Data Engineer working with end-to-end data solutions.

  • Deep understanding of data modeling for analytics and data-driven products.

  • Experience with lakehouse architectures and modern analytical stacks.

  • Experience building pipelines for analytics, A/B testing and AI/ML.

  • Ability to understand business metrics, communicate insights and drive actions from data.

  • Strong understanding of data quality, validation and observability.

  • Familiarity with CI/CD and Infrastructure as Code, such as Terraform, CDK or CloudFormation.

  • Software engineering mindset: readable code, testing, versioning and ownership.

  • Ability to balance fast delivery with long-term platform maturity.

  • Excellent communication skills and a collaborative, product-oriented mindset.

Nice to Have

  • Experience with A/B testing platforms or experimentation frameworks.

  • Exposure to MLOps or feature store concepts.

  • Familiarity with event-driven architectures and streaming systems.

  • Experience with AWS and cloud-native data platforms.

  • Familiarity with API/Event-first design and Test Driven Development (TDD).

Why Join Apotea?

  • A stable, future-focused company with a meaningful mission to improve healthcare accessibility.

  • Work on AI, ML and automation projects that impact millions of customers.

  • Work with modern cloud-native technologies such as serverless, AI, automation and event-driven systems.

  • Join a flat, agile organization with minimal bureaucracy.

  • Grow through training, mentorship and industry conferences.

  • Collaborate in a cross-functional and transparent environment.

  • Own projects from concept to deployment.

About Apotea Apotea.se is Sweden’s largest online pharmacy.
We simplify everyday life for our customers with fast deliveries and expert advice.
In 2024, Apotea reached a turnover of SEK 6.5 billion and employs about 1,000 people across Stockholm, Varberg and Morgongåva.

Apotea is an inclusive employer that values diversity.
We welcome all applicants and strive to create a work environment where everyone can thrive and grow.

Recruitment Process

  • Apply

  • Interview: Screening

  • Interview: Technical Capabilities

  • Interview: Culture Fit

  • Background Check: As a pharmacy, we always conduct a background check.

  • Offer Presented

  • Application Send in your application today.
    For more information, visit our career page.
    We do not accept applications via email.

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    Join Us and Make a Difference - We hope you want to be part of our team! Interviews are ongoing, and the position may be filled immediately.
    Start date by agreement.
    Location: Sveavägen 168, Stockholm, Sweden (On-site) Open Positions: 2 Welcome to Apotea – where technology meets health and creates magic!

    Sverige
    Sveavägen 168
    Stockholm
    webbsida: karriar.apotea.se
    Publicerad: 04 maj 2026
    Data scientist
    Tills vidare
    Heltid
    start: Vanlig anställning
    Fast månads- vecko- eller timlön
    referens: teamtailor-7274208-1978112
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    Ansök senast 31 oktober 2026