Data Engineer

Boston Hale
Victoria, Greater London, Greater London
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Experis Telford, Shropshire, SY2 5TN, United Kingdom
£430 – £483 pd

Data Engineer

Damia Group London, United Kingdom
£60,000 – £75,000 pa

Data Engineer

Gold Group London, City And County Of the City Of London, United Kingdom
£50,000 – £65,000 pa

Data Engineer

Hays Technology London, City And County Of the City Of London, United Kingdom
£500 – £700 pd

Data Engineer

SF Partners Manchester, United Kingdom
£50,000 pa

Data Engineer

VIQU Energy London, United Kingdom
£80,000 – £90,000 pa
Posted
1 Aug 2025 (9 months ago)
Share
Save job
Create job alert

Job Title: Data Engineer

Location: London (Hybrid - 2 days in office)

Type: Full-time

Agency: Representing a leading digital media group

We're representing a well-established digital media company with a growing portfolio of high-traffic content brands. As they expand their data capabilities, they're looking for a Data Engineer to join their London-based team.

Key Responsibilities:

Design and maintain scalable data pipelines across diverse sources.
Automate and optimise workflows using tools like Airflow, dbt, and Spark.
Support data modelling for analytics, dashboards, and A/B testing.
Collaborate with cross-functional teams to deliver data-driven insights.
Work with cloud platforms (GCP preferred) and tools like BigQuery.Requirements:

Strong SQL and experience with relational/non-relational databases.
Proficiency in Python and/or Java.
Experience with cloud infrastructure (GCP, AWS, or similar).
A proactive, collaborative approach and strong communication skills.This is a fantastic opportunity to work in a fast-paced, content-rich environment and help shape the future of data in digital publishing.

Diversity, equity and inclusion are at the heart of what we value as an organisation. Boston Hale is an equal opportunities employer, and all qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, age, disability or any other status protected by law

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.

Products

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

Careers

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.