Data Engineer

Searchability®; Manchester; Hybrid; GBP 40,000 - 55,000; Full time

Benefits offered by this job

25 days’ annual leave + bank holidays

Life assurance & employer pension contributions

Learning & development budget

Hybrid working with flexible hours

£100 annual home office allowance

Job summary

A leading recruitment agency is seeking a Data Engineer in Manchester. This role offers a salary of up to £55,000 plus benefits, focusing on developing large-scale data pipelines using Python, SQL, and AWS. The position supports hybrid working with 2-3 days in the office. Applicants should possess strong analytical and problem-solving skills with experience in ETL processes.

Qualifications

• 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.

Responsibilities

• Develop and maintain real-time and batch ETL processes.
• Ensure accuracy, integrity, and scalability across vast datasets.
• Optimize data pipeline architecture and support team collaboration.

Skills

Python

SQL

AWS

ETL processes

Apache Spark

Agile development practices

CI/CD

Problem-solving skills

Analytical skills

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 [e-mail]. 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

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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