Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer

Better Placed Ltd - A Sunday Times Top 10 Employer!
Leeds
3 days ago
Create job alert
Better Placed Ltd - A Sunday Times Top 10 Employer! provided pay range

This range is provided by Better Placed Ltd - A Sunday Times Top 10 Employer!. Your actual pay will be based on your skills and experience – talk with your recruiter to learn more.

My client is an established and fast‑growing e‑commerce business based in the heart of Leeds. Over the past few years, they’ve invested heavily in digital transformation and are now entering a new phase of growth – building a modern, data‑driven foundation to power decision‑making across every part of the business.

They’re now looking for an experienced Data Engineer to help design and implement their new data environment from the ground up. This is a rare opportunity to shape the architecture, tooling, and best practices within a company that’s genuinely open to new ideas and technology choices.

The Role

Reporting to the Head of Technology, you’ll be responsible for building and maintaining the company’s data infrastructure and pipelines. This is very much a greenfield environment – the business is currently operating on a serverless setup with plans to implement Snowflake as their data warehouse and lake.

You’ll play a key role in designing and deploying the data architecture, integrating data sources, and helping the business get more value from its data. The role will suit someone comfortable working independently and guiding the early stages of data platform implementation.

Key Responsibilities
  • Design, build, and manage scalable data pipelines and integrations between core business systems.
  • Lead the implementation of Snowflake as the central data warehouse/lake.
  • Work with third‑party providers and internal teams to ingest, transform, and structure data effectively.
  • Replace and modernise existing integrations (e.g. Celigo) using tools such as Boomi or similar platforms.
  • Establish best practices for data governance, quality, and security.
  • Partner with stakeholders across technology, marketing, and operations to understand data needs and deliver actionable insights.
  • Support the move toward a more automated, analytics‑led environment.
Skills & Experience
  • Proven experience as a Data Engineer within a modern data or cloud environment.
  • Strong knowledge of ETL/ELT pipeline design and data modelling.
  • Experience with Snowflake (or similar cloud‑based data warehouse solutions).
  • Familiarity with integration and automation tools such as Boomi, Celigo, or equivalent.
  • Experience working in a serverless or modern cloud environment.
  • Strong SQL skills and experience with Python or another scripting language for data processing.
  • Understanding of data governance, quality assurance, and performance optimisation.
  • Excellent communication and problem‑solving skills – comfortable shaping strategy as well as delivering hands‑on work.
Location & Working Pattern

This role is based in Leeds city centre, with hybrid working (1–2 days per week onsite).

Why Apply?
  • Join a business at the start of its data transformation journey – with the freedom to influence architecture and tooling decisions.
  • Collaborate closely with a supportive and forward‑thinking technology leadership team.
  • Work in a culture that values autonomy, innovation, and long‑term impact.
  • Competitive salary (£60,000–£75,000) plus benefits and flexible hybrid working.

For a confidential discussion please apply with an up‑to‑date CV.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

Software Development and IT System Custom Software Development


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Engineering Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data engineering hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise reliable pipelines, modern lakehouse/streaming stacks, data contracts & governance, observability, performance/cost discipline & measurable business outcomes. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for platform‑oriented DEs, analytics engineers, streaming specialists, data reliability engineers, DEs supporting AI/ML platforms & data product managers. Who this is for: Data engineers, analytics engineers, streaming engineers, data reliability/SRE, data platform engineers, data product owners, ML/feature‑store engineers & SQL/ELT specialists targeting roles in the UK.

Why Data Engineering Careers in the UK Are Becoming More Multidisciplinary

For many years, data engineering in the UK meant designing pipelines, moving data between systems, and ensuring analysts had what they needed. Today, the field is expanding. With cloud platforms, machine learning, real-time analytics and the explosion of sensitive personal data, employers expect data engineers to do much more. Modern data engineering is no longer just about code and storage. It requires legal awareness, ethical judgement, psychological insight, linguistic clarity and human-centred design. These disciplines shape how data is collected, processed, explained and trusted. In this article, we’ll explore why data engineering careers in the UK are becoming more multidisciplinary, how law, ethics, psychology, linguistics & design now influence job descriptions, and what job-seekers & employers must do to thrive.

Data Engineering Team Structures Explained: Who Does What in a Modern Data Engineering Department

Data has become the lifeblood of modern organisations. Every sector in the UK—finance, healthcare, retail, government, technology—is increasingly relying on insights derived from data to drive decisions, deliver products, and improve operations. But raw data on its own isn’t enough. To make data useful, reliable, secure, and scalable, companies must build strong data engineering teams. If you’re recruiting for data engineering or seeking a role, understanding the structure of such a team and who does what is essential. This article breaks down the typical roles in a modern data engineering department, how they collaborate, required skills and qualifications, expected UK salaries, common challenges, and advice on structuring and growing a data engineering team.