Reed

Lead Data Engineer

Harnham - Data & Analytics Recruitment
Edinburgh, UK
£90,000 – £100,000
about 9 hours ago
remote

Skills & Technologies

PythonSoftware EngineeringData EngineeringScalabilitySQLAWSCI/CDS3EKSCloudGitData ModellingAirflowdbtDagsterSnowflakeStrategyDeploymentMakeDecision Making

Job Description

Lead Data Engineer

Remote UK, £90,000 to £100,000

This is an opportunity to join a fast scaling, digital first consumer platform at a pivotal point in its data journey. They are investing heavily in their data infrastructure and are building a high performing, software led data engineering team to support real time, high volume analytics across the business. You will have genuine influence over how data engineering is done, working on modern tooling and best practice from day one.

The Company

They are a UK based, consumer facing digital platform operating in a highly regulated online environment. Since launching less than a decade ago, the business has grown rapidly, supported by significant recent funding and a strong focus on product, user experience and responsible engagement. Data is central to their growth strategy, and they are building a modern, scalable analytics platform to support this ambition. The team operates fully remotely across the UK and Europe.

The Role

Design, build and own end to end data pipelines supporting real time and batch analytics

Work on high volume, low latency data use cases with a strong focus on reliability and scalability

Develop production grade data solutions using software engineering best practices such as CI/CD, testing and version control

Contribute to the design of data models and analytics layers used across the business

Help implement and mature staging, testing and deployment processes across the data platform

Collaborate closely with analytics, product and engineering teams to enable better decision making

Your Skills and Experience

Strong commercial experience as a data engineer in modern, cloud based environments

Advanced Python and SQL, with experience using PySpark or similar distributed processing frameworks

Experience building and maintaining data pipelines in AWS using services such as S3, Glue or EKS

Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg

Familiarity with orchestration tools such as Dagster or Airflow

Strong understanding of data modelling concepts and analytics best practice

A software engineering mindset, including Git, testing and CI/CD workflows

What They Offer

The chance to help shape a growing data platform and engineering culture

Clear progression opportunities as the data team continues to expand

Exposure to complex, real world data challenges at scale

How to Apply

If you are a Lead Data Engineer looking to make a real impact in a growing, product led business, apply now to learn more about the opportunity.

Company & Role Analysis

JobSeeker+
Likely perks
Private MedicalPension25+ Days HolidayStock OptionsLearning BudgetFlexible Hours
Culture & working style

Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.

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