Data Engineer

Spectrum IT Recruitment
Basingstoke, United Kingdom
Last month
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
7 Mar 2026 (Last month)
Share
Save job
Create job alert

We are seeking a motivated Data Engineer for an excellent client in Basingstoke. You will be responsible for the maintenance and growth of the Data Warehouse and Data Pipelines. You will work closely with the Senior Data Engineer, Data Analysts, and Finance Team to integrate new data sources, model processes, deliver enhancements, and expand functionality.

This is a hybrid role with the expectation to be on-site 3 days per week.

Skills required:

Strong SQL skills (PostgreSQL or Snowflake preferred)

Experience modelling business processes using SQL

Familiarity with Git/version control

Understanding of Cloud Data Warehouse concepts

Knowledge of SOAP/REST APIs, JSON, YAML

Basic Python for API data retrieval and ETL tasks

Logical problem-solving skills

Ability to work independently and collaboratively

Experience with dbt, Snowflake, Fivetran, AWS S3/Lambda, or CI/CD pipelines

Attention to detail and desire to learn

This is an excellent opportunity to grow your data engineering skills while contributing to a dynamic team. If you feel you have the skills and experience required, please contact

Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy

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.