Data and Insights Engineer
Integrated Services delivers professional and joined up services to enable the firm's growth; connecting people, streamlining processes and using technology to simplify the user experience and make it easier for all our people to focus their energy on what is important. This is a key role within our Data & Insights team, within the Integrated Services function. We are looking for an Engineer to work across our Integrated Services teams' data to drive efficiencies, remove duplication and develop new tools to drive greater insights. This is an exciting time to join an evolving team to drive the data analytics transformation, particularly in the people data domain.
What Your Days Will Look Like
This role requires data engineering capability, with most work focused on back-end data pipeline development and downstream analytics delivery. It will also require considerable relationship building skills and some stakeholder management.
No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions.
We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.
What Your Days Will Look Like
This role requires data engineering capability, with most work focused on back-end data pipeline development and downstream analytics delivery. It will also require considerable relationship building skills and some stakeholder management.
- Partner with stakeholder teams to understand reporting and analytics needs, identifying opportunities to streamline data flows and enhance insight quality.
- Design, build, and maintain scalable and reusable data pipelines in Databricks using Python (PySpark) and SQL, transforming raw data from multiple sources into trusted, analytics-ready datasets.
- Continuously enhance the platform by automating, standardising, and optimising existing data processes.
- Identify and implement process improvements across multiple reporting and analytics functions.
- Transition existing reporting solutions into sustainable, automated frameworks within Databricks and Power BI.
- you have practical experience in data engineering or analytics, ideally within a professional or enterprise environment.
- you have considerable working knowledge of Databricks or other data integration and transformation platforms —developing and optimising data pipelines using Python (PySpark) and/or SQL.
- you have experience with data transformation and visualisation tools (e.g. Power BI, Alteryx) to deliver high-quality insights.
- you have ample problem-solving and analytical skills, with the ability to diagnose and resolve complex data issues.
- you demonstrate excellent communication skills, particularly when troubleshooting complex problems or explaining data concepts.
- you have experience or an understanding of deploying modern AI/ML solutions into production (preferred not essential).
- you have experience of coaching/mentoring others
No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions.
We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.