Data Engineer

Manchester, United Kingdom
Today
£31 – £34 ph

Salary

£31 – £34 ph

Job Type
Temporary
Work Pattern
Flexible
Work Location
Remote
Posted
10 Jun 2026 (Today)

Data Engineer

Location: Mainly remote working - Adhoc visit maybe required to Manchester office

Type: Temporary contract estimated to run 6 months with potential to be extended

Salary: £30.77 - £34.62ph

About the Role

We're supporting a well-established organisation in the fintech sector who are in search of a skilled Data Engineer. This is a fantastic opportunity to join a forward-thinking business that places data at the centre of its operations and is investing heavily in its analytics capabilities.

Role Overview

As a Data Engineer, you'll be responsible for developing and maintaining robust data pipelines that support business intelligence and analytics. You'll work closely with stakeholders to understand their data needs and translate them into scalable, SQL-driven workflows. Your work will directly support strategic decision-making by ensuring data is clean, reliable, and accessible.

Key Responsibilities

Build and maintain efficient ETL pipelines to support data transformation and integration.

Collaborate with business teams to gather requirements and deliver tailored data solutions.

Design and implement structured data models and marts for specific business functions.

Ensure high standards of data quality, consistency, and performance.

Support automation and scheduling of data workflows to streamline operations.Required Skills & Experience

To succeed in this role, you'll need hands-on experience with the following tools and technologies:

ETL Tools: Informatica IICS

SQL Server: Including SSMS and stored procedures

SQL Server Migration Assistant (SSMA)

Advanced SQL: Strong query writing and optimisation skills

Unix/Linux Shell Scripting

Version Control: GitHub

API Integration: Experience working with RESTful APIs

Alteryx: For data preparation and automation

Data Visualisation: Experience with dashboarding and reporting tools

Workflow Automation & Scheduling: Using relevant tools and platforms

Documentation & Communication: Ability to clearly document processes and communicate technical concepts to non-technical stakeholdersWhat You'll Bring

A proactive mindset with a passion for solving complex data challenges.

Strong analytical thinking and attention to detail.

Ability to work independently and manage multiple priorities.

A collaborative approach and willingness to contribute to team success.We use generative AI tools to support our candidate screening process. This helps us ensure fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention

Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer.

By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website

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Industry Insights

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

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Where to advertise data engineering jobs UK in 2026: the specialist boards and channels that reach Spark, dbt, Snowflake and platform engineering talent. 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.