Senior Data Engineer

Full-timeHybrid
Stockholm · Gothenburgvia Datatonic CareersPosted Sep 16, 2026
Match with my CV

Technical skills

PythonJavaAPI developmentSQLData engineeringData analysisBusiness intelligenceData scienceAWSGoogle Cloud

About this role

Shape the Future of AI & Data with Us

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.

Your Mission

As a Data Engineer, your mission is to design and develop scalable, high-performance data pipelines that enable seamless data processing, visualisation, and integration into machine learning models.

You'll play a key role in shaping the data engineering foundation of our next-generation AI-driven products, ensuring that data flows efficiently and is readily accessible for advanced analytics.

What You’ll Do

  • Build Scalable Data Pipelines: Design, develop, and optimize robust data pipelines, making data easily accessible for visualization and machine learning applications.
  • Leverage Cutting-Edge Technologies: Work with cloud-based platforms and big data processing tools to create scalable and efficient solutions.
  • Collaborate with Cross-Functional Teams: Work closely with data scientists, ML engineers, and analysts in an agile environment to deliver impactful data-driven solutions.
  • Partner with Industry Leaders: Integrate best-in-class data solutions by working with Google Cloud Platform, dbt, and Looker.
  • Manage Cloud Infrastructure: Architect, maintain, and troubleshoot cloud-based infrastructure to ensure high availability and performance.
  • Lead and Mentor Team Members: Provide guidance and mentorship to engineers, supporting their professional development and ensuring best practices in data engineering.

What You’ll Bring

  • Strong Programming

Skills

  • Expertise in Python and/or Java, with proficiency in SQL.
  • Experience in Data Engineering: 5+ years of experience in designing and building scalable data solutions.
  • Passion for Data and Analytics: A deep interest in optimizing data workflows and making data-driven decisions.
  • Expertise in ETL and Big Data: Hands-on experience with ETL tools, Hadoop-based technologies (e.g., Spark), and data processing frameworks like Beam or Flink.
  • High-Quality Code Standards: Ability to write tested, resilient, and well-documented code.
  • Cloud Computing Experience: Experience in building and maintaining cloud infrastructure (GCP or AWS is a plus).
  • Problem-Solving Mindset: Ability to take ownership and drive projects from concept to completion.
  • Strong Communication & Collaboration: Excellent interpersonal skills, with a team-oriented and proactive approach.
  • Leadership & Mentorship

Skills

  • Experience in line management and mentoring engineers, helping to grow the team’s technical capabilities.
  • Bonus Points If

You Have

  • Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale-up environment
  • Command Line & Scripting: Love for the command line and experience with Linux scripting.
  • API Development Experience: Experience building scalable REST APIs using Python or similar technologies.
  • Machine Learning Knowledge: Knowledge or experience in machine learning, data mining, statistics, and visualization.
  • Client-Facing Role: Prior experience in a client-facing position
  • Open Source Contributions: Experience contributing to open-source projects.
  • What’s in It for You?
  • We believe in empowering our team to thrive, with benefits including:
  • Holiday: 30 days plus bank holidays (obviously!)
  • Health Perks: 4500 kr per year Healthcare Allowance (paid monthly, after probation)
  • Fitness & Wellbeing: Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice)
  • Hybrid Model: 1200 kr WFH Equipment Allowance (after probation)
  • Learning & Growth: Access to platforms like Udemy to fuel your curiosity.
  • Pension: Private Salary Sacrifice Pension available
  • Why Datatonic?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

  • Are you ready to make an impact?
  • Apply now and take your career to the next level.

Before you apply

  • 1Which parts of your CV prove experience with Python, Java, and API development?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

Loading similar active roles...