Hybrid Lead Data Engineer: Data Platform Architect

Impactive IT; West Yorkshire; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Impactive IT is hiring a Lead Data Engineer to own and evolve the enterprise data platform. The role combines hands‑on leadership with active technical delivery, guiding 3–4 Data Engineers and influencing architecture, data modelling and governance across the data stack.

You will drive modern data architectures, pipelines and analytical datasets, working closely with BI, Analytics and senior stakeholders to shape the strategy and roadmap for advanced analytics, AI and digital use cases.

Qualifications

• Strong SQL and Python/PySpark skills required.
• Experience with modern cloud data platforms (Microsoft Fabric or similar).
• Solid data engineering and architecture background with data modelling experience.

Responsibilities

• Lead and mentor a team of 3-4 Data Engineers
• Own the design and evolution of the enterprise data platform
• Make technical decisions around architecture, tooling and engineering approaches
• Oversee data pipelines, transformations and analytical datasets
• Drive modern architecture including Lakehouse, Medallion and Data Product approaches
• Establish strong engineering practices across CI/CD, testing, version control and automation
• Champion data quality, governance, monitoring and platform reliability
• Work closely with BI, Analytics, Architecture and senior business stakeholders
• Help shape the longer‑term data platform roadmap and technology strategy

Skills

SQL

Python/PySpark

Data engineering

Data architecture

Data modelling

Lakehouse/Modern data platform

CI/CD/automation

Leadership/mentoring

Stakeholder collaboration

Tools

Microsoft Fabric

Snowflake

Databricks

GitHub Actions

Job description

Impactive IT is hiring a Lead Data Engineer to own and evolve the enterprise data platform. The role combines hands‑on leadership with active technical delivery, guiding 3–4 Data Engineers and influencing architecture, data modelling and governance across the data stack.

You will drive modern data architectures, pipelines and analytical datasets, working closely with BI, Analytics and senior stakeholders to shape the strategy and roadmap for advanced analytics, AI and digital use cases.