Hybrid Lead Data Engineer - Architect Global Data Platform

Cavu

Manchester

Hybrid

GBP 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

25 days holiday
Company pension
On-site gym
Discounts on products
Volunteering days
Learning opportunities
Mentoring programmes
Parental leave

Job summary

Cavu is seeking a Lead Data Engineer in the UK to oversee architecture and development of our data platform. You will guide a team of data engineers, work on pipelines, ETL, and data lakehouse improvements, enabling batch and streaming data capabilities.

You’ll collaborate with data scientists and analysts, drive data governance and security, and shape strategic data initiatives to unlock business value across our platforms.

Qualifications

  • 5+ years of experience in Data Engineering, building data pipelines, ETL, data warehouses, and stakeholder management.
  • Strong Python and Apache Spark skills with solid SQL knowledge.
  • Experience with PostgreSQL, MySQL, MongoDB or Cassandra.

Responsibilities

  • Lead and manage a team of data engineers, providing technical guidance and mentorship.
  • Design, develop and maintain robust, scalable data pipelines and ETL processes.
  • Collaborate with data scientists, analysts and stakeholders to translate requirements into solutions.
  • Work with Head of Data Engineering to drive initiatives in the data domain.
  • Ensure data quality, integrity and monitoring across systems.
  • Optimize performance of databases, warehouses, data lakes and streams.

Skills

Python
Apache Spark
SQL
PostgreSQL
MySQL
MongoDB
Cassandra
AWS
Azure
GCP
DataBricks
CI/CD
Infrastructure as code
Data governance
Data quality
Data security
Leadership
Mentoring
Communication

Tools

DataBricks

Job description

Cavu is seeking a Lead Data Engineer in the UK to oversee architecture and development of our data platform. You will guide a team of data engineers, work on pipelines, ETL, and data lakehouse improvements, enabling batch and streaming data capabilities.

You’ll collaborate with data scientists and analysts, drive data governance and security, and shape strategic data initiatives to unlock business value across our platforms.

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