Data Engineering Product Owner, Technology, Data Bricks, Microsoft
Data Engineering Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Engineering / Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe and the States) on occasions. We need someone who has come...
Carrington Recruitment Solutions
Bishopsgate
Data Engineer
Adword Job title: Data engineering specialist Locations: London One Braham or Birmingham Snowhill or Bristol Assembly (hybrid-3 days onsite) Start Date: Ideally 1st April so must be available immediately Duration: 06 months IR35: Inside Job description: Looking for immediate joiners, Ideally by 1st April Role Overview We are seeking an experienced Analytics Engineer to design and build scalable analytical data...
Randstad Technologies Recruitment
London
Data Engineer
Bolton As a data engineer specialising in generative AI ; this role will see you working in a developing international and transversal structure. You will have the responsibility to evaluate, build and maintain data sets for internal customers whilst ensuring they can be maintained. Salary: Circa £45,000 - £55,000 depending on experience Dynamic (hybrid) working: 2-3 days per week on-site...
MBDA UK
Middle Hulton
Snowflake Data Engineer
Job Title: Snowflake Data Engineer Location: London (2 days on-site per week) Salary/Rate: £550 - £600 per day inside IR35 Start Date: March Job Type: Initial 3-6 month contract Company Introduction We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Snowflake Data Engineer to help on their cloud...
Square One Resources
City of London
Data Governance Analyst, Data Owner, Data Business Analyst,City London
Senior Data Governance Analyst, Data Catalogue, Data Owner, City of London Senior Data Governance Analyst required to work for a Professional Services firm based in the City of London. This is 4 days in the office (Monday to Thursday and Fridays at home). There may be the opportunity for some Global travel as well. The Senior Data Governance Analyst is...
Carrington Recruitment Solutions
Bishopsgate
SAS Data Engineer
SAS Consultant / Data Engineer Location: Telford or Worthing (hybrid working 2 days onsite) Type: Full Time, Permanent Salary: £50,000 - £70,000 DOE + comprehensive benefits package Deerfoot Recruitment is working with a major consultancy partner on a long-term public sector engagement and is seeking experienced SAS Consultants / Data Engineers to join a growing data team. This is a...
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.
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.
If you’re applying for data engineering jobs in the UK, the first thing to understand is this:
Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look.
In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.
Powering Data-Driven Insights
Your Gateway to Data Engineering Careers
Connecting talented data engineers with innovative companies building robust data infrastructure and scalable data pipelines.
Job Seekers:
Explore a wide range of data engineering roles, from building and maintaining data pipelines to designing and implementing data warehouses and data lakes. Find your next challenge in big data processing, cloud data platforms, and data integration.
Precise Talent Acquisition:
Build a high-performing data engineering team with top talent skilled in data modeling, ETL, data warehousing, and cloud technologies. Post your data engineering jobs and attract the best candidates.
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