Lead Data Engineer

Lead Data Engineer

Posted Today by Uniting Ambition

Negotiable
Outside
Onsite
Birmingham, England, United Kingdom

Summary: The Lead Data Engineer will oversee the migration of customer data from a third-party platform to a new Databricks environment, requiring both leadership and hands-on technical expertise. This role demands a strong background in Databricks and Azure data services, along with the ability to define data architecture strategies and ensure best practices. The position is based in Birmingham and offers a contract outside IR35 for an initial duration of six months. An ASAP start is preferred for the right candidate.

Key Responsibilities:

  • Lead the migration of customer data from an external third-party provider to the new Databricks platform.
  • Define and implement the end-to-end data architecture strategy within Databricks.
  • Design scalable, secure, and high-performance data pipelines.
  • Establish governance, data modelling standards, and best practice frameworks.
  • Act as technical authority and SME for Databricks across the programme.
  • Provide architectural oversight while remaining hands-on with engineering delivery.

Key Skills:

  • Deep hands-on expertise in Databricks (architecture, optimisation, deployment).
  • Deep expertise in Azure data services (Databricks, Data Factory, ADLS) and strong understanding of distributed data processing.
  • Hands-on experience with CI/CD tooling (Azure DevOps/GitHub) and modern DevOps practices for data engineering.
  • Strong grasp of data architecture, ETL/ELT design, and performance optimisation.
  • Proven experience leading enterprise data platform implementations.
  • Strong experience migrating customer data between platforms.
  • Experience operating in senior/lead/principal-level engineering roles.
  • Strong understanding of data governance, security, and compliance frameworks.
  • Comfortable leading small, high-performing teams.
  • Experience working within retail, eCommerce, or customer-focused environments (preferred).

Salary (Rate): undetermined

City: Birmingham

Country: United Kingdom

Working Arrangements: on-site

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Lead Data Engineer Contract Outside IR35 6 Months Initially 2/3 days a week on-site - Birmingham ASAP Start

My client are seeking an experienced Lead Data Engineer to lead the migration of customer data from a third-party platform onto the new Databricks environment. This is a hands-on leadership role requiring deep Databricks expertise combined with architectural ownership and delivery accountability.

Key Responsibilities

  • Lead the migration of customer data from an external third-party provider to the new Databricks platform.
  • Define and implement the end-to-end data architecture strategy within Databricks.
  • Design scalable, secure, and high-performance data pipelines.
  • Establish governance, data modelling standards, and best practice frameworks.
  • Act as technical authority and SME for Databricks across the programme.
  • Provide architectural oversight while remaining hands-on with engineering delivery.

Required Experience

  • Deep hands-on expertise in Databricks (architecture, optimisation, deployment).
  • Deep expertise in Azure data services (Databricks, Data Factory, ADLS) and strong understanding of distributed data processing.
  • Hands-on experience with CI/CD tooling (Azure DevOps/GitHub) and modern DevOps practices for data engineering.
  • Strong grasp of data architecture, ETL/ELT design, and performance optimisation.

Desirable Experience

  • Proven experience leading enterprise data platform implementations.
  • Strong experience migrating customer data between platforms.
  • Experience operating in senior/lead/senior/lead/principle-level engineering roles.
  • Strong understanding of data governance, security, and compliance frameworks.
  • Comfortable leading small, high-performing teams.
  • Experience working within retail, eCommerce, or customer-focused environments (preferred).