Senior Analytics Engineer

Company Details

Finding Space & Satellite Professionals New Jobs!

Are you currently looking for a new and exciting opportunity within a fast-paced environment? Do you have experience in leading and developing reusable data patterns? If so, this role could be for you!

We are currently recruiting for a Senior Analytics Engineer on behalf of one of the UK’s leading Space and Satellite companies who are based in London.

Responsibilities:

  • Lead and develop reusable data patterns and implement data pipelines following those patterns
  • Work with other software engineers, data analysts, data scientists, and decision-makers, such as product owners, to build solutions and generate insights
  • Share your technical knowledge, guide others, mentor more junior Data Engineers
  • Define the strategy for ingestion, transformation, and presentation of data
  • Ensure the quality of transformed data is in line with stakeholder expectations and that any underlying source issues are reported.
  • Development of the data platform including support and monitoring
  • Maintain an in-depth understanding of current and emerging technologies that will support the team in delivering quality solutions
  • Work in cross-functional agile teams with end-to-end responsibility for product development
  • Contribute to improved ways of working and standards for the entire Data Engineering team

Essential Knowledge and Skills:

  • Experience ingesting and transforming large volumes of data
  • Experience applying business logic to data in line with business requirements
  • Ability to autonomously solve business problems using data, ensuring that solutions are aligned with team and wider data strategy
  • Knowledge and experience of a range of reconciliation and data quality testing techniques – both manual and automated.
  • Knowledge and experience of using Google Cloud – Big Query, Composer, DataProc, and Dataflow
  • Experience using Data Build Tool (DBT) or equivalent
  • Expert level SQL and Python. Experience in some of the following technologies would also be an advantage – Spark, Spark SQL, Kafka, Unix shell scripting, Java
  • Experience with Continuous Integration/Continuous Delivery using Google Cloud Builder
  • Experience with source code control tools such as Git
  • Experience mapping data lineage using tools such as Solidatus
  • Agile Experience using Scrum or Kanban
  • Knowledge of Tableau and Alteryx or similar tools

Tagged as: java, python, Kafka, C++, spark, unix/shell scripting, spark sql

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