Data Engineer

Metica
London
GBP 40,000 - 80,000
Job description

The Role

We’re looking for a skilled Data Engineer to join our team and help us build and scale the data infrastructure that powers Metica’s cutting-edge personalization and optimization solutions. In this role, you’ll design and implement robust data platforms, pipelines, and systems that process and analyze vast amounts of data in real-time. Your work will directly impact our ability to deliver game-changing insights and tools to some of the world’s leading gaming studios and publishers.

This is an exciting opportunity for a hands-on data engineer who thrives in a startup environment, loves solving complex problems, and is passionate about gaming and data-driven technology. This is an in-office role based in London, with the flexibility to work from home one day per week.

You Will

  • Design, build, and maintain scalable data pipelines using tools like Spark, Dask, Pandas, or Ray.

  • Develop data platforms such as data lakehouses, data lakes, and data warehouses.

  • Work with big data platforms like EMR, Databricks, or DataProc to process and manage large datasets.

  • Leverage your expertise in cloud environments (AWS, Azure, or Google Cloud) to ensure the scalability and reliability of our systems.

  • Support and operate production systems, ensuring data pipelines run smoothly and efficiently.

  • Collaborate with product, engineering, and data science teams to optimize platform performance and functionality.

You Need

  • Demonstrable experience building data pipelines with Spark, Dask, Pandas, or Ray.

  • Proficiency in programming languages such as Python (preferred), Scala (preferred), and Java (desirable).

  • Hands-on experience working with cloud providers like AWS, Azure, or Google Cloud.

  • Proven knowledge of big data platforms like EMR, Databricks, or DataProc.

  • Expertise in building and managing data platforms, including data lakehouses, lakes, or warehouses.

  • Bonus points for experience in any of the following areas: automated data quality frameworks, CI/CD pipelines, machine learning models, Infrastructure as Code tools or data visualization tools

To apply, send a CV and cover letter to jobs@metica.com

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