Lead Data Engineer (Databricks) - Lakehouse Architect

Tenth Revolution Group

Greater London

Hybrid

GBP 99,000 - 121,000

Full time

4 days ago
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Benefits offered by this job

Hybrid working model
Leadership of engineering team
Exposure to AI/ML initiatives

Job summary

Tenth Revolution Group is seeking a Lead Data Engineer (Databricks) in London, offering a hybrid work model and a leadership path to shape a modern data platform. You will own architecture and development of a Databricks environment while mentoring a team of data engineers and partnering with data scientists and product teams.

The role requires deep Databricks/Spark/Delta Lake expertise, cloud platform design skills and a track record of delivering enterprise-scale data solutions.

Qualifications

  • Proven senior/lead data engineering track record.
  • Deep expertise in Databricks, Spark, Delta Lake, Python and SQL.
  • Experience designing and scaling cloud-based data platforms.
  • Strong ETL/ELT, data modelling and distributed processing knowledge.
  • Experience with Azure, AWS or GCP environments.

Responsibilities

  • Lead design, development and optimisation of a Databricks-based data platform.
  • Define enterprise-scale Lakehouse architectures across the cloud.
  • Set data governance, security and quality standards.
  • Lead and mentor a team of Data Engineers.
  • Collaborate with Data Scientists, Analysts and Product teams to enable analytics and ML/AI initiatives.
  • Drive platform performance, scalability and cloud cost optimisation.

Skills

Databricks
Apache Spark
Delta Lake
Python
SQL
Azure

Job description

Tenth Revolution Group is seeking a Lead Data Engineer (Databricks) in London, offering a hybrid work model and a leadership path to shape a modern data platform. You will own architecture and development of a Databricks environment while mentoring a team of data engineers and partnering with data scientists and product teams.

The role requires deep Databricks/Spark/Delta Lake expertise, cloud platform design skills and a track record of delivering enterprise-scale data solutions.

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