Lead Data Engineer

Harnham

London, UK

7 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

£70,000.0 - £85,000.0

Working hours

Regular working hours

Job source

www.reed.co.uk

Tech stack

Artificial Intelligence Amazon Web Services Computing Platforms Microsoft Azure Software as a Service Continuous Integration Information Engineering Data Infrastructure Extract Transform Load (ETL) DevOps Python (Programming Language) SQL Databases

+5 more

Azure Data Factory Git Microsoft Fabric Data Pipelines Databricks

Job description

This is an opportunity to take ownership of a Data Engineering function at a high-growth AI-driven SaaS business. Working directly with senior technology leadership, you will combine hands-on engineering with team leadership, helping to shape the technical direction, standards and future growth of the function., As a Lead Data Engineer, you will be responsible for leading Data Engineering whilst remaining heavily involved in technical delivery.

Specifically, you can expect to be involved in the following:

Building and developing the Data Engineering function, including processes, standards and best practices
Leading, mentoring and managing a team of Data Engineers
Designing and delivering scalable ETL and ELT pipelines across cloud environments
Owning data modelling, architecture and platform design decisions
Collaborating with Product, Data Science, Platform and Client Success teams
Driving improvements across CI/CD, DevOps and engineering workflows
Working with clients and stakeholders to understand data challenges and deliver value-driven solutions

Requirements

The successful Lead Data Engineer will have the following skills and experience:

Previous experience leading or managing a Data Engineering team
Strong commercial experience with SQL and Python
Expertise in building scalable ETL and ELT pipelines
Strong understanding of data modelling and modern data architecture principles
Experience working with cloud platforms such as Azure, AWS or GCP
Knowledge of Databricks, Azure Data Factory, Microsoft Fabric or similar modern data platforms
Experience with Git, CI/CD and DevOps best practices
Strong communication skills with the ability to engage technical and non-technical stakeholders
Experience in consulting, client-facing or project-led environments would be advantageous

About the company

They are a rapidly scaling SaaS organisation that helps businesses unlock greater value from their data through advanced analytics and AI-powered products. Their technology supports enterprise clients across a range of sectors, delivering actionable insights that improve decision-making and commercial performance.