Data Engineer

Searchability

Manchester, UK

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

£55,000.0

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

Agile Methodology Artificial Intelligence Amazon Web Services Automation of Tests Big Data Continuous Integration Extract Transform Load (ETL) Python (Programming Language) SQL Databases Apache Spark Data Analytics Data Pipelines

Job description

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Base pay range

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BRAND NEW DATA ENGINEER OPPORTUNITY IN MANCHESTER - HYBRID WORKING

Salary up to £55,000 p/a plus bonus & excellent benefits
Work on complex, large-scale data pipelines with cutting-edge tech
We’re looking for strong Python, SQL, and AWS skills, plus experience in ETL processes
Hybrid working - 2-3 days in the office

ABOUT THE CLIENT:

Our client is a trailblazer in the global data insights space, delivering innovative and actionable solutions to some of the most well-known brands worldwide. They specialise in enabling organisations to make smarter, faster decisions through advanced analytics and high-quality data pipelines.

With over a decade of experience, they’re now seeking a talented Data Engineer to help drive the performance, scalability, and reliability of their reporting and analytics capabilities. You’ll join a collaborative, forward-thinking team working at the forefront of big data engineering.

A GLIMPSE AT THE BENEFITS / CULTURE:

25 days’ annual leave + bank holidays (option to buy/sell after 2 years)
Life assurance & employer pension contributions
Choice of tech setup to suit your needs
Learning & development budget + 1:1 coaching
Hybrid working with flexible hours
£100 annual home office allowance

DATA ENGINEER ROLE:

In this hands-on position, you’ll develop and maintain a mix of real-time and batch ETL processes, ensuring accuracy, integrity, and scalability across vast datasets. You’ll work with Python, SQL, Apache Spark, and AWS services such as EMR, Athena, and Lambda to deliver robust, high-performance solutions.

You’ll also play a key role in optimising data pipeline architecture, supporting knowledge sharing within the team, and collaborating with stakeholders to translate business requirements into technical solutions.

KEY SKILLS / EXPERIENCE

Proven experience as a Data Engineer, with Python & SQL expertise
Familiarity with AWS services (or equivalent cloud platforms)
Experience with large-scale datasets and ETL pipeline development
Knowledge of Apache Spark (Scala or Python) beneficial
Understanding of agile development practices, CI/CD, and automated testing
Strong problem-solving and analytical skills
Positive team player with excellent communication abilities

TO BE CONSIDERED:

Please either apply by clicking online or emailing . For further information please contact via 07880 358 143 / 01244 567 925. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only.

KEY SKILLS:

Seniority level