# Senior Data Engineer at Datatonic > Hybrid · Sweden · Senior · Data engineering · open. Source: https://alderhq.app/jobs/ashby%3Adatatonic%3A71c5235e-cf3b-4341-97cc-e4276f66ca44 (read 2026-11-09). ## Facts (observed) - Company: [Datatonic](https://alderhq.app/companies/datatonic) - Location text: Stockholm; Gothenburg - Where it can be done from (inferred): Hybrid · Sweden (evidence: "Location: Stockholm; Gothenburg") - Posted: 2026-09-16 (54 days ago) - First seen by alder: 2026-11-04 · last verified: 2026-11-08 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/datatonic/71c5235e-cf3b-4341-97cc-e4276f66ca44 - Skills listed (inferred): Python, Java, AWS, GCP, Spark, dbt, SQL ## Pay and sponsorship - Posted pay: not posted - Licensed UK sponsor: registered as "DATATONIC LTD" (checked 2026-11-09, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers)) ## Description (the employer's text) ### 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! --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Adatatonic%3A71c5235e-cf3b-4341-97cc-e4276f66ca44 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.