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Staff Data Engineer

Fruition Group
London
1 month ago
Applications closed

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Staff Data Engineer

Staff Data Engineer

Staff Data Engineer

Member of Technical Staff, Data Engineering

Staff Data Scientist, EMEA

Staff Data Scientist

Job Title: Staff Data Engineer
Location: London, Hybrid
Salary: c.£140,000 + bonus + share options

Why Apply?
This is a unique opportunity to take a leading role in shaping the data strategy of a fast growing Insurtech scale-up. The role combines hands on technical work with strategic influence, allowing you to develop both systems and people. You'll lead a small but high impact team, work across multiple business functions, and help deliver a modern, scalable data platform that drives business decisions.

Responsibilities:

  • Lead, mentor, and develop a high performing team of Data Engineers, fostering a culture of learning and excellence.
  • Define and execute the data engineering roadmap aligned with business goals.
  • Own and evolve the end-to-end data platform, including ingestion, transformation, governance, and real time processing.
  • Design, build, and maintain scalable data pipelines, warehouses, and models to support product and analytics teams.
  • Introduce and enforce best practices in testing, CI/CD, infrastructure as code, and observability.
  • Write and review production level code, designing scalable data pipelines and modern data architectures.
  • Identify opportunities for technology improvements, tooling enhancements, and architectural upgrades.
  • Balance hands on technical work with leadership responsibilities, making decisions that shape both team growth and long term data strategy.

Requirements:

  • Proven hands on experience in data engineering, building and operating scalable data platforms.
  • Proven experience in a leadership or technical lead role, with official line management responsibility.
  • Strong experience with modern data stack technologies, including Python, Snowflake, AWS (S3, EC2, Terraform), Airflow, dbt, Apache Spark, Apache Iceberg, and Postgres.
  • Skilled in balancing technical excellence with business priorities in a fast-paced environment.
  • Strong communication and stakeholder management skills, able to translate technical concepts into business value.
  • Experience with real-time data processing, Data Lake or Data Mesh architectures is a plus.
  • Curiosity about AI and its practical application to improve data workflows.


What's in it for me?

  • Competitive salary, bonus, and company share options.
  • Private medical insurance and generous holiday allowance.
  • Opportunities to influence data strategy, lead a talented team, and make a tangible business impact.
  • Exposure to cutting-edge data technologies and AI tools, with scope for personal and professional development.

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.

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