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Data engineer or senior data engineer

Banbury
Agilysis Ltd
Data engineer
£31,000 - £41,000 a year
Posted: 1 October
Offer description

JOB DESCRIPTION

Title: Data Engineer or Senior Data Engineer

Full-Time (37.5hrs per week)

Reports to: Head of Technology

Responsible for: N/A

Office location: Agilysis' Banbury office

Remote working and travel: The post is office focussed but suitable for hybrid working (a combination of working in the office and at home) subject to agreement. The post may require very occasional visits to client premises, conferences and events.

About Us

Agilysis exists to invest in transport safety and research. Utilising a wealth of experience in areas of applied research, analytics, networks, data visualisation, evaluation, and behaviour change, we contribute to pioneering international research as well as providing consultancy and intervention design based on evidence from a range of disciplines in transport and health domains.

Agilysis is an evidence-led business. We are passionate about acquiring the right data and transforming and combining datasets to provide clear and accurate indicators. From documenting a nation's road safety performance for a global institution through to developing a regional partnership strategy, we thrive on tackling the problems that require a multi-disciplinary team and innovative approaches to reach solutions that work for our clients. Good data is the foundation that underpins our business.

Our approach is collaborative. Working with clients, partners, stakeholders, associate researchers, policy advisory groups, creatives and technologists, our aim is to bring together the best people to deliver the best results we can. We are proud that our small team has significant impact in the real world and that this is frequently recognised in the many awards Agilysis receives.

Job Purpose

Agilysis is looking for a Data Engineer or Senior Data Engineer to join our expanding Technical Team.

As a data professional, you will be able to demonstrate a good understanding of data theory and data management combined with practical experience of industry standard database systems and tools. You will have experience of complex ETL processing involving programmatic manipulation of data, combining and joining data from disparate sources. You will be able to interrogate multiple, sometimes complex and nuanced sources to produce clear, robust datasets for further analysis.

The post holder will work closely with others in the Technical Team and with the Consultancy Team, playing a crucial role in the high-quality Consultancy projects for that Agilysis is renowned for. They will also have the opportunity to contribute to the award-winning products that Agilysis offers.

Key Requirements

All applicants must:

* Have a current right to work in the UK and must reside within or be willing to relocate within a commutable distance from Banbury.
* Possess a degree in a relevant field from a recognised international institution

* or -

* Be able to demonstrate at least 2 years' experience working in a similar role

* Be able to demonstrate significant experience or formal training with Microsoft SQL Server or PostgreSQL RDBMS systems
* Be able to demonstrate significant experience or formal training with the Python programming language

To view the full Job Descriptions and apply for one of these roles, please click the Apply Now button to access our website.

Benefits / Package

Salary £31,000 to £41,000 per annum (37.5hr per week), dependent on role

Company pension*

Sick pay*

25 days' annual leave (plus bank holidays)

Flexible working

Employee assistance programme (for yourself, your partner and any immediate dependents) including:

* 24/7 counselling
* Legal support
* Critical incident advice
* Online health portal
* Relationship management support

Cycle to work scheme

Approval & Review

Post approved by: Tom Fosdick

This job description is due for review on: 14 August 2026

Job Types: Full-time, Permanent

Pay: £31,000.00-£41,000.00 per year

Benefits:

* Additional leave
* Company events
* Cycle to work scheme
* Flexitime
* Health & wellbeing programme
* Sick pay

Work Location: In person

Reference ID: Data Engineer or Senior Data Engineer

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