Data Engineer

Data Engineer Location: London (Hybrid)

Salary: £60,000 - £75,000 + benefits The Role We are working with a fast-growing technology company that is continuing to invest heavily in its data platform as it scales.

They are looking for a hands-on Data Engineer to help build and optimise modern cloud-based data infrastructure that supports analytics, reporting, and future AI initiatives across the business.

You'll play a key role in developing scalable data pipelines, improving data quality, and helping shape the company's growing data function. Working closely with Product, Engineering, Analytics and Data Science teams, you'll ensure data is reliable, accessible and ready to power business decisions.

This is an excellent opportunity to join a collaborative engineering team where you'll have genuine ownership, influence over technical decisions, and exposure to a modern cloud data stack. Key Responsibilities

Design, build and maintain scalable ETL/ELT data pipelines across multiple data sources

Develop and optimise cloud-based data platforms to support analytics and operational reporting

Build robust data models and transformation workflows using modern engineering best practices

Ensure data quality, governance and reliability through monitoring, validation and testing

Work closely with Data Analysts, Product Managers and Software Engineers to deliver high-quality data solutions

Optimise pipeline performance, scalability and cost efficiency

Contribute to the ongoing development of the company's cloud data architecture

Help establish best practices around automation, documentation and CI/CD within the data team

Required Skills & Experience

3+ years' commercial experience as a Data Engineer

Strong Python and SQL skills

Experience building and maintaining ETL/ELT pipelines

Commercial experience working with Azure or AWS cloud platforms

Experience with modern data platforms such as Databricks, Snowflake or Redshift

Experience using orchestration tools such as Airflow, Azure Data Factory or Prefect

Strong understanding of data warehousing and data modelling principles

Excellent problem-solving skills with a delivery-focused mindset

Comfortable working within cross-functional engineering teams

Nice to Have

Experience with dbt

Exposure to streaming technologies such as Kafka

Experience within a high-growth SaaS or technology business

Familiarity with Infrastructure as Code (Terraform)

Experience supporting machine learning or AI workloads

What's on Offer

Salary up to £75,000 depending on experience

Generous benefits package

Hybrid working (London-based)

Opportunity to join a rapidly growing technology business investing heavily in its data platform

High-impact role with genuine ownership and technical influence

Collaborative engineering culture with excellent opportunities for progression

UK-based candidates only.

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