Data Engineer - Products

RealityMine; Stretford; Hybrid; GBP 55,000 - 85,000; Full time

Benefits offered by this job

25 days paid holiday

Life assurance

Workplace pension with employer cont.

Bonus scheme

Cycle to Work

Tech you’ll love

Training budget

Charity giving back

Job summary

RealityMine is hiring a Data Engineer to join the Machine Learning team in Manchester. You will support ML engineers, run analyses, test data products, and ensure high-quality outputs for clients and internal stakeholders. The role is hybrid with at least 2 days in the Trafford Park office.

You’ll use SQL and Python, investigate issues, automate checks and collaborate across Product, Engineering and Operations to improve data products.

Qualifications

• Strong SQL skills and ability to work with large datasets.
• Experience with Python or similar scripting language.
• Attention to detail with a testing/quality mindset.
• Analytical thinking and structured problem solving.
• Clear communication with technical and non-technical stakeholders.
• Ability to manage multiple priorities calmly.
• Self-motivated with a collaborative approach.

Responsibilities

• Analyse product datasets to identify trends and improvement opportunities.
• Perform testing and validation of new fields, logic changes and releases.
• Investigate data quality issues and support root cause analysis with teams.
• Write SQL and Python queries/scripts to interrogate data and automate checks.
• Support internal stakeholders and clients with data requests and incidents.
• Maintain documentation for datasets, logic, processes and issues.
• Collaborate with Product, Engineering and Operations to prioritise enhancements.
• Adhere to security, quality and health & safety policies.

Skills

SQL

Python

Data analysis

Testing mindset

Problem solving

Communication

Prioritisation

Self-motivation

Tools

AWS data tooling

S3

Athena

Spark

Notebooks

Job description

RealityMine has been a pioneer in delivering data driven insights to the world's largest brands for over a decade. Our platform provides unique data solutions to our clients enabling them to make strategic, informed decisions powered by data from real people, collected in a privacy safe way.

As we continue to expand, we’re seeking a Data Engineer who will play a key role in supporting, analysing, testing and enhancing our behavioral data products, ensuring high quality outputs for clients and internal stakeholders.

The Role:

You will sit within the Machine Learning team, helping ML engineers to deliver high-quality production models and data products through testing, analysis, validation and operational support. You’ll work across analysis, testing, validation and operational support, using SQL, Python and internal tooling to investigate issues, improve processes and deliver reliable data products.

Our offices are in Trafford Park, Manchester and the role consists of hybrid working, where we ask for our team to be in the office for collaboration and team building a minimum of 2 days per week. The rest of the week is up to you; deep focus at home, or more of the same!

Key Responsibilities:

• Analyse product datasets to identify trends, anomalies and opportunities for improvement.
• Perform testing and validation of new fields, logic changes and product releases.
• Investigate data quality issues and support root cause analysis with Engineering and ML teams.
• Write SQL and Python queries/scripts to interrogate data and automate checks.
• Support internal stakeholders and clients with product queries, incidents and data requests.
• Maintain clear documentation for datasets, logic, processes and known issues.
• Collaborate with Product, Engineering and Operations teams to prioritise enhancements.
• Adhere to Company Policies and Procedures with respect to Security, Quality and Health & Safety.

About You:

We’re looking for a strong communicator who enjoys solving problems, working with data and supporting a fast-paced product environment.

Here’s what we’re looking for:

• Strong SQL skills and confidence working with large datasets.
• Experience with Python or a similar scripting language.
• Excellent attention to detail and a testing / quality mindset.
• Strong analytical thinking and structured problem solving.
• Clear communication skills with technical and non-technical stakeholders.
• Ability to manage multiple priorities and respond calmly to issues.
• Self-motivated with a collaborative approach.

Preferred:

• Familiarity with AWS data tooling such as S3, Athena, Spark or notebooks.
• Experience supporting data products or client-facing datasets.
• Understanding of release testing, UAT or production support processes.
• Exposure to Jira / Agile delivery environments.

Why Join RealityMine?

At RealityMine, we believe our people are at the heart of everything we do. That’s why we go the extra mile to support every team member to unlock their full potential. Whether you're hungry for learning, driven by achievement, or just love being part of a dynamic and supportive team, you'll find a home here.

• Generous Time Off: Enjoy 25 days of paid holiday, plus bank holidays. After two years with us, you can also buy or sell up to 5 days of annual leave.
• Peace of Mind: Life assurance and a workplace pension with employer contributions.
• Reward for Performance: Bonus scheme that recognizes your hard work and contributions.
• Cycle to Work Scheme: For the cyclists among us, we've got you covered.
• Gear You’ll Love: Choose the tech that works for you, we'll try and source it!
• Learning & Growth: Benefit from one-to-one coaching, a budget for training programs, and all the support you need to keep growing.
• Giving Back: Join us in supporting local charities and making a positive impact.

Hybrid Working

We know work-life balance matters, so we’ve embraced a flexible hybrid working model:

• Located in Trafford Park, our Manchester office offers an inspiring, collaborative space to work alongside your colleagues.
• Free parking and secure bike shed. Excellent public transport links.
• Split your time between the office and home, with full equipment provided for home working (desk, screen, chair).
• Receive £100 annually to personalize your home workspace.
• Flexible start and finish times to suit your personal circumstances.

If you’re a Data Engineer professional excited to work on impactful projects and shape the future of data insights, we’d love to hear from you.