Data Engineer

At MHR, our employees are central to our success and play a key role in helping customers achieve sustainable high performance. With a team of over 900 professionals, we work to make things flow smoothly, whether it's for large organisations or individual employees. As businesses face rapid changes in the world of work, our team is here to help them adapt and thrive.

By focusing on the core needs of efficiency, productivity, growth, and impact, our employees use their expertise to deliver real solutions through our People and Finance platform. This system, which covers finance, HR, payroll, and learning, helps businesses run more smoothly and make better decisions in real time.

With over 40 years of experience behind us, MHR’s track record as a high-performance organisation is built on clear goals, a shared vision, and strong communication - all of which we pass on to our customers.

MHR is more than just a place to work; it’s a platform for empowerment. Joining us means bringing innovation, technology, and teamwork seamlessly removes obstacles, enhances your skills, and allow you to focus on what’s most important to you- work that matters.

With us, you’ll grow, find your flow, and make a lasting difference in your career, your team, and your impact.

At MHR, your career is shaped by curiosity, innovation, and the drive to build solutions that make a real difference. As a Data Engineer, you’ll join a team where your technical skills will grow rapidly through hands‑on delivery, exposure to modern data engineering practices, and collaboration with experts across cloud, software engineering, and data architecture.

You’ll work with advanced SQL, Python, Azure PaaS, and modern data frameworks, while developing your understanding of analytics architecture, machine learning engineering, and large-scale data platform design. This role offers a clear pathway to senior engineering opportunities as you deepen your expertise and take ownership of increasingly complex solutions.

You’ll be part of a collaborative, forward‑thinking data engineering function responsible for powering People First, our flagship HR and Payroll platform. Working closely with Cloud Platform, Data Architects, Security, Software Engineering, and Product teams, you’ll help shape the data foundations that underpin our products and customer experience.

Your team champions modern data practices, continuous learning, and a culture of problem‑solving. You’ll contribute to a supportive environment where ideas are shared openly, innovation is encouraged, and everyone plays a role in driving our technology forward.

In this role, you’ll play a key part in designing, building, and optimising the data platforms, pipelines, marts, and warehouses that enable People First to deliver secure, scalable, high‑quality data experiences.

Your work will include:

• Developing robust data solutions using SQL, Python, and Azure technologies such as Data Factory, Databricks, Azure Functions, Synapse, and more
• Designing and optimising data structures, storage, and query performance to support analytics, reporting, and product features
• Contributing to the delivery of new data platforms and features for both core (iTrent/People First) and non‑core product areas.
• Collaborating with cross‑functional teams to ensure data is secure, compliant, and aligned with GDPR requirements.
• Supporting the development of BI and ML engineering practices across the business.
• Delivering proof‑of‑concepts that push our technology stack and ways of working forward.
• Helping internal teams with data modelling, query design, and best‑practice engineering approaches.

Alongside the opportunity to work with an incredible team and express your individuality, we offer a range of personalised benefits including:

• Access to over 60 internal training courses, professional qualifications, and cross‑departmental mentoring and coaching programs
• 24/7 access to a GP through Help at Hand for you and your family, confidential mental health support, and paid sick leave
• Ability to purchase or sell additional holiday days beyond 25 days and bank…