Data Engineering Lead

Sanderson; West of England; On-site; GBP 95,000 - 120,000; Full time

Benefits offered by this job

Pension up to 11% employer contributed

Job summary

Sanderson is seeking a Data Engineering Lead to drive the Data & Insight function through a period of growth. You will own the Databricks platform, mentoring a team of Data Engineers, and lead the migration from AWS Redshift to Databricks while shaping data strategy and delivery across the organisation.

The role requires a strong track record in data engineering, cloud platforms, and effective leadership, with a hands-on approach to architecture, data pipelines and collaboration with business

Qualifications

• Extensive experience in Data Engineering or Data Architecture roles.
• Proven track record leading data engineering teams.
• Strong SQL and Python development.
• Experience with cloud platforms and Databricks.
• Knowledge of data governance and data quality principles.
• Excellent stakeholder communication and collaboration.

Responsibilities

• Lead, mentor and develop Data Engineers.
• Own and evolve the Databricks platform.
• Lead migration from AWS Redshift to Databricks.
• Build and optimise data pipelines and data models.
• Collaborate with technical and business stakeholders.

Skills

Databricks

SQL

Python

Leadership

Data Modeling

ETL/ELT

Stakeholder Mgmt

Tools

dbt

Airflow

Cloud Platforms

Job description

We are looking for a Data Engineering Lead to join our Data & Insight team at an exciting time of transformation and growth. This role offers the opportunity to take ownership of a rapidly evolving data platform while leading a talented team of Data Engineers and helping shape the future direction of the organisation's data strategy.

You will own the Databricks platform, lead the migration from AWS Redshift and play a key role in major transformation programmes whilst balancing leadership and hands‑on technical delivery.

The Role

Lead the Data Engineering function, support modern cloud data platforms, drive platform stability and performance, and collaborate across technology and business teams.

Key Responsibilities

• Lead, mentor and develop Data Engineers
• Own and evolve the Databricks platform
• Lead migration from AWS Redshift to Databricks
• Build and optimise data pipelines and data models
• Collaborate with technical and business stakeholders

About You

You'll be an experienced Data Engineering professional with a passion for building high-performing teams and delivering robust, scalable data solutions. You'll have a strong technical foundation and enjoy remaining close to the technology, whilst also providing leadership, coaching and strategic direction to those around you.

• Strong commercial experience within Data Engineering, Data Platform or Data Architecture environments
• Previous experience leading, mentoring or managing Data Engineering teams
• Strong SQL and Python development skills
• Experience designing, building and supporting modern cloud-based data platforms
• Strong Databricks experience and an understanding of Lakehouse architecture
• Experience delivering scalable data pipelines, ETL/ELT processes and data products
• Strong understanding of data modelling, data governance and data quality principles
• Experience working closely with business stakeholders and translating requirements into technical solutions
• Strong communication and stakeholder management skills
• Experience working within Agile delivery environments

What's on Offer

• Pension up to 11% employer contribution