Senior Data Engineering Analyst

St. James'S Place; Gloucester; On-site; GBP 70,000 - 95,000; Full time

Job summary

St. James's Place in Gloucestershire is seeking a Senior Data Engineering Analyst to lead a Data Feature Team and deliver scalable data solutions. You will plan, coordinate, build, test, and implement data projects aligned with our Data Strategy and corporate aims.

The role requires proven experience in data engineering or analysis, strong SQL, and a passion for data quality, governance, and stakeholder collaboration across functions. Agile delivery and wealth/FS domain familiarity are valued.

Qualifications

• Experience as Data Engineering Analyst or similar data-focused role.
• Strong SQL skills with large, complex queries.
• Familiar with data governance, quality and lineage concepts.
• Exposure to wealth management or financial services desirable.
• Experience delivering data projects using Agile methods.

Responsibilities

• Guide and manage a Data Feature Team to ensure accurate data outputs.
• Engage early with projects to define scope and objectives.
• Drive data solutions and resolve issues with proven expertise.
• Coordinate with Project Managers and Scrum Masters on epics and stories.
• Ensure smooth handover of deliverables to Data Operations.
• Liaise with third-party teams to promote data quality.

Skills

Data engineering

SQL

Power BI

Snowflake

Stakeholder management

Agile

Data governance

Root cause analysis

Tools

Snowflake

SQL

Power BI

Job description

Senior Data Engineering Analyst St. James's Place•Gloucestershire, Gloucestershire, United Kingdom

This job is with St. James's Place, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.

About the role:

We are offering an outstanding opportunity to join our ambitious Data & Insights team as a Senior Data Engineering Analyst. Reporting to the Divisional Director, you will work with a team of analysts, engineers, and testers. You will manage tasks within a specific Data Feature Team. You will play a crucial role in planning, coordinating, and crafting the build, development, testing, and implementation of data projects. This ensures alignment with our Data Strategy and Corporate aims.

What you'll be doing:

• Guide and manage a Data Feature Team, ensuring perfect delivery of data outputs.
• Engage early with potential projects to determine scope and objectives.
• Drive solutions and resolve issues using your proven expertise.
• Coordinate with Project Managers and Scrum Masters to ensure Agile epics and stories are accurately set up and tracked.
• Ensure smooth transition of project deliverables to Data Operations.
• Liaise with Third Party development teams to promote data quality.

About you:

We are looking for an experienced Data Engineering Analyst who is passionate about harnessing the power of data to deliver meaningful business outcomes.

The ideal candidate will bring a strong background in data engineering or analysis, a proven ability to deliver complex projects successfully, and a drive to continuously improve processes and technologies. You will be a collaborative team player who works effectively across functions, translating business requirements into scalable, reliable, and high-performing data solutions. With a commitment to quality, innovation, and customer success, you will play a key role in delivering world-class data capabilities that enable informed decision-making and support the organisation's strategic objectives.

• Proven experience working as a Data Engineering Analyst, Data Analyst, Data Engineer, or in a similar data-focused role.
• Understanding of the full data and software development lifecycle, including requirements gathering, design, development, testing, deployment, and support.
• Advanced SQL skills with the ability to write, optimise, and troubleshoot complex database queries.
• Strong analytical and problem-solving skills, with experience conducting root cause analysis and implementing effective solutions.
• Experience working with and managing data across multiple enterprise data repositories and platforms.
• A passion for data quality, with a strong understanding of data accuracy, consistency, validity, integrity, and governance principles.
• Hands-on experience using data management, data quality, and data governance tools and techniques.
• Strong stakeholder management and communication skills, with the ability to work effectively with both technical and non-technical audiences.
• Practical experience with one or more of the following technologies:
• Power BI
• SQL
• Snowflake
• Ability to interpret business requirements and translate them into effective data solutions.
• Wealth management or Financial Services Experience
• Experience with Agile methodologies.
• Knowledge of data quality guidelines.
• Familiarity with financial data systems and processes.