Lead Data Engineer - Hadoop - Spark - Python

Square One Resources

Sheffield, South Yorkshire, United Kingdom

2 months ago

Applications closed

Related Jobs

View all jobs

Senor / Lead Data Engineer

Michael Page Runcorn, WA7 1ND, United Kingdom

Data Engineering Lead

Corecom Consulting York, North Yorkshire, YO1 8RS, United Kingdom

£75,000 – £90,000 pa

Data Lead

Copello Warminster, Wiltshire, United Kingdom

£80,000 – £90,000 pa

Data Engineer - Junior

Orbit Group Binley Woods, Warwickshire, United Kingdom

£37,500 – £40,779 pa

Data Solutions Lead

Premier IT Reading, Berkshire, United Kingdom

£80,000 – £100,000 pa

GDPR Data Architect

BrightBox Group Glasgow, City Of Glasgow, G2 1AL, United Kingdom

£600 – £700 pd

Posted: 13 Feb 2026 (2 months ago)

Save job

Create job alert

Applications closed

Job Title: Lead Data Engineer - Hadoop, Spark, Pytthon
Location: Sheffield - 3 days per week in the office
Salary/Rate: Up to £617 per day inside IR35
Start Date: 02/03/2026
Job Type: Contract until November

We are seeking a Lead Data Engineering Consultant with proven experience in leading and developing data engineering platforms.

The ideal candidate will possess hands-on expertise in the following areas:

Extensive enterprise experience with Hadoop, Spark, and Splunk.
Proficiency in object-oriented and functional scripting, particularly in Python.
Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL).
Experience integrating large, disparate datasets using modern tools and frameworks.
Strong background in building and optimizing ETL/ELT data pipelines.
Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines.
Experience supporting and collaborating with BI and Analytics teams in fast-paced environments.
Ability to pair program and work effectively with other engineers.
Excellent analytical and problem-solving abilities.
Knowledge of agile methodologies such as Scrum or Kanban is a plus.
Comfortable representing the team in standups and problem-solving sessions.
Capable of driving the creation of technical test plans and maintaining records, including unit and integration tests, within automated test environments to ensure high code quality.
Promote SRE (Site Reliability Engineering) culture by addressing challenges through data engineering.
Ensure service resilience, sustainability, and adherence to recovery time objectives for all delivered software solutions.If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format.

Disclaimer
Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies.
Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement

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

Industry Insights

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

Apr 9, 2026

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.

Mar 24, 2026

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.

Feb 10, 2026

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.