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
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Build Scalable Data Pipelines: Design, develop, and optimize robust data pipelines, making data easily accessible for visualization and machine learning applications.
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Leverage Cutting-Edge Technologies: Work with cloud-based platforms and big data processing tools to create scalable and efficient solutions.
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Collaborate with Cross-Functional Teams: Work closely with data scientists, ML engineers, and analysts in an agile environment to deliver impactful data-driven solutions.
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Partner with Industry Leaders: Integrate best-in-class data solutions by working with Google Cloud Platform, dbt, and Looker.
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Manage Cloud Infrastructure: Architect, maintain, and troubleshoot cloud-based infrastructure to ensure high availability and performance.
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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
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Strong Programming Skills: Expertise in Python and/or Java, with proficiency in SQL.
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Experience in Data Engineering: 5+ years of experience in designing and building scalable data solutions.
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Passion for Data and Analytics: A deep interest in optimizing data workflows and making data-driven decisions.
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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.
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High-Quality Code Standards: Ability to write tested, resilient, and well-documented code.
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Cloud Computing Experience: Experience in building and maintaining cloud infrastructure (GCP or AWS is a plus).
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Problem-Solving Mindset: Ability to take ownership and drive projects from concept to completion.
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Strong Communication & Collaboration: Excellent interpersonal skills, with a team-oriented and proactive approach.
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Leadership & Mentorship Skills: Experience in line management and mentoring engineers, helping to grow the team’s technical capabilities.
Bonus Points If You Have:
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Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale-up environment
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Command Line & Scripting: Love for the command line and experience with Linux scripting.
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API Development Experience: Experience building scalable REST APIs using Python or similar technologies.
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Machine Learning Knowledge: Knowledge or experience in machine learning, data mining, statistics, and visualization.
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Client-Facing Role: Prior experience in a client-facing position
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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:
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Holiday: 30 days plus bank holidays (obviously!)
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Health Perks: 4500 kr per year Healthcare Allowance (paid monthly, after probation)
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Fitness & Wellbeing: Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice)
Learning & Growth: Access to platforms like Udemy to fuel your curiosity.
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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!