Senior Data Engineer

The role

You will design and develop scalable, high-performance data pipelines. You will work with cloud-based platforms and big data processing tools to enable data processing, visualisation, and integration into machine learning models.

What you will do

• Design, develop, and optimize robust data pipelines.
• Work with cloud-based platforms and big data processing tools.
• Collaborate with data scientists, ML engineers, and analysts in an agile environment.
• Integrate data solutions using Google Cloud Platform, dbt, and Looker.
• Architect, maintain, and troubleshoot cloud-based infrastructure.
• Provide guidance and mentorship to engineers.

Required qualifications

• Expertise in Python and/or Java.
• Proficiency in SQL.
• 5+ years of experience in designing and building scalable data solutions.
• Hands-on experience with ETL tools, Hadoop-based technologies (e.g., Spark), and data processing frameworks like Beam or Flink.
• Ability to write tested, resilient, and well-documented code.
• Experience in line management and mentoring engineers.

Nice to have

• GCP or AWS is a plus
• Previous experience working in a start-up or scale-up environment
• Love for the command line and experience with Linux scripting
• Experience building scalable REST APIs using Python or similar technologies
• Knowledge or experience in machine learning, data mining, statistics, and visualization
• Prior experience in a client-facing position
• Experience contributing to open-source projects

Benefits

• 30 days plus bank holidays
• 4500 kr per year Healthcare Allowance (paid monthly, after probation)
• Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice)
• 1200 kr WFH Equipment Allowance (after probation)
• Access to platforms like Udemy
• Private Salary Sacrifice Pension available

About the company

Datatonic is Google Cloud's premier partner in AI. They provide expertise in machine learning, data engineering, and analytics on Google Cloud Platform.