Senior Data Engineer

Responsibilities

• Design, develop, and optimize robust data pipelines, making data easily accessible for visualization and machine learning applications.
• Work with cloud-based platforms and big data processing tools to create scalable and efficient solutions.
• Work closely with data scientists, ML engineers, and analysts in an agile environment to deliver impactful data-driven solutions.
• Integrate best-in-class data solutions by working with Google Cloud Platform, dbt, and Looker.
• Architect, maintain, and troubleshoot cloud-based infrastructure to ensure high availability and performance.
• Provide guidance and mentorship to engineers, supporting their professional development and ensuring best practices in data engineering.

Requirements

• 5+ years of experience in designing and building scalable data solutions.
• Ability to write tested, resilient, and well-documented code.
• Ability to take ownership and drive projects from concept to completion.
• Excellent interpersonal skills, with a team-oriented and proactive approach.
• Experience building scalable REST APIs using Python or similar technologies.
• Prior experience in a client-facing position

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.

Strong Programming Skills

Expertise in Python and/or Java, with proficiency in SQL.

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.

Cloud Computing Experience

Experience in building and maintaining cloud infrastructure (GCP or AWS is a plus).

Leadership & Mentorship Skills

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

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.

Machine Learning Knowledge

Knowledge or experience in machine learning, data mining, statistics, and visualization.

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.