Lead Data Engineer

La Fosse
London
1 year ago
Applications closed

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Are you ready to lead in a dynamic and innovative fintech environment? We are urgently seeking aLead Data Engineerto join a client of ours who is a hypergrowth fintech company. This is a fantastic opportunity to work on cutting-edge technology, contribute to high-impact projects, lead and mentor a talented data engineering team.


Role: Lead Data Engineer

  • Location: London (3 days in-office, 2 days remote)
  • Start Date: ASAP (Interviews this week!)


About Us:

We are at the forefront of fintech innovation, focusing on delivering intelligence and insights to our customers through cutting-edge data solutions. We will be leveraging Machine Learning (ML) to power real-time decision-making using streaming event-driven data.


What You’ll Do:

  • Lead and mentor a team of data engineers in building and maintaining scalable data pipelines.
  • Design and implement cloud-based solutions on AWS, focusing on efficient and scalable data architecture.
  • Drive the development and optimization of data pipelines, ensuring robust, real-time data flow using tools like Databricks.
  • Utilize tools like Kafka, Spark or Flink (experience with event-driven data streaming is advantageous).


Essential Requirements:

  • Strong experience building scalable data pipelines in Python.
  • Expertise in AWS and Databricks.
  • Proven leadership experience in a data engineering role, with the ability to mentor and guide teams.
  • Data warehousing and ETL experience
  • Hands-on experience with streaming technologies (e.g., Kafka, Spark, Flink) is highly beneficial.


Why Join?

  • Work in a high-growth fintech environment where innovation thrives.
  • Opportunity to contribute to machine learning and real-time data solutions.


This is anurgent hire, and interviews will commence 9/09/24 w/c - Please do apply now or email if interested to

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