Data Engineer

RealityMine; Stretford; Hybrid; GBP 60,000 - 80,000; Full time

Benefits offered by this job

25 days holiday

Life assurance

Company pension

Bonus scheme

Cycle to work

Home workspace stipend

Training budget

Charity volunteering

Job summary

RealityMine is seeking a Data Engineer to design, build and maintain data pipelines, working with SQL, Python and cloud-based ETL processes. You’ll collaborate with experienced engineers in a hybrid Manchester office, with on-call duties after onboarding and opportunities to grow in a data-focused environment.

The role emphasizes real-time and batch data processing, scalable architectures, and code reviews, paired mentoring, and continuous improvement within a supportive team.

Qualifications

• 1+ years of SQL and Python development experience as a Data Engineer.
• Experience building real-time and batch ETL pipelines.
• Familiarity with AWS or Google Cloud Platform.
• Strong problem-solving and communication skills.

Responsibilities

• Develop and maintain real-time and batch ETL jobs.
• Improve pipeline design, architecture and tooling.
• Ensure data accuracy, integrity and scalability.
• Contribute to documentation of datasets and processes.
• Collaborate with engineering, product and operations teams.
• Join the on-call rotation after settling in.

Skills

SQL

Python

ETL

Data Pipelines

Tools

AWS

Google Cloud Platform

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 are seeking a Data Engineer to join our Data Engineering team. This is a development-focused role for someone with strong foundations in SQL, Python and problem-solving, who is looking to grow into a well-rounded Data Engineer. You'll work alongside experienced engineers to build, maintain and improve the data pipelines that support our customer reporting capabilities.

The Role:

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

Your primary responsibilities will involve developing and maintaining a mix of real time and batch ETL jobs on a large and complex dataset. You will use and continue to develop your Python and SQL skills to ensure data accuracy, integrity, and scalability, while also engaging in continuous improvements to develop innovate and scalable data solutions.

You won't be expected to know everything from day one. You'll be supported by experienced engineers through code reviews, pairing and mentoring, with opportunities to take on more ownership as your confidence and technical capability grow. This is a great opportunity for someone early in their data engineering career to gain hands‑on experience working with large scale data pipelines, AWS cloud technologies and production engineer practices in a supportive team environment.

After a suitable settling in period, you will also join our out of hours on call team, with appropriate support, guidance and additional compensation.

Key Responsibilities:

• Work with the team understand requirements and to manage and organise priorities effectively.
• Continually review and measure the performance of the data pipeline and evaluate improvements in design, architecture and tooling.
• Design and develop ETL, infrastructure as code and automation scripts that follow industry best practices and standards.
• Supporting and identifying improvements to the deployed production systems to ensure high application uptime and stability.
• Monitoring application performance to handle increases in scale and data volumes.
• Maintaining clear documentation for datasets, logic, processes and known issues.
• Collaborate with internal engineering, product and operations teams to align on scope and deliverables.
• Adhering to Company Policies and Procedures Adhering to Company Policies and Procedures with respect to Security, Quality and Health & Safety.

About You:

Here's what we’re looking for:

• 1+ years of SQL and Python professional development experience as a Data Engineer, preferably using AWS or Google Cloud Platform.
• A self-motivated and proactive learner with a growth mindset, who is keen to develop and progress their data engineering career.
• Strong analytical and communication skills to take a data driven approach in presenting decisions to stakeholders.
• The ability to problem-solve and break down complex problems, whilst working on large and complex datasets.
• Someone who is flexible and agile, ready to adapt to changes when things don't go to plan.
• Knowledge of agile software development best practices including continuous integration, automated testing and working with software engineering requirements and specifications.
• Good interpersonal skills, positive can-do attitude and willing to help other members of the team.
• Experience using Apache Spark (scala or python) is preferred, however training will be provided.
• Exposure to using AI tools to enhance productivity and quality of coding, reviews and documentation.

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.

Your Benefits

• 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 2 days working in our offices.
• Full equipment provided for home working (desk, screen, chair).
• Receive £100 annually to personalise 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.