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Harnham - Data & Analytics Recruitment Careers

London / Global

Lead Data Engineer

Job Description

Lead Data Engineer

Up to £85,000

Holborn, London (4 days a week in office)

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.

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.

THE ROLE

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

SKILLS AND EXPERIENCE

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-techni...

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