Data & Analytical Engineer

Roc Search GmbH; Greater London; Hybrid; GBP 60,000 - 65,000; Full time

Job summary

A leading financial services firm is seeking a skilled Data & Analytics Engineer in London. You'll work in a hybrid model, primarily in the office three days a week. The role involves maintaining and optimizing data usage, developing data strategies, and designing reporting solutions using SQL, Python, and Power BI. Candidates should have experience in financial services. Salary ranges from £60,000 to £65,000 annually.

Qualifications

• Proficient in writing efficient SQL queries and automating data processing.
• Experience with ETL processes for data consolidation and transformation.
• Skilled in designing and maintaining interactive dashboards in Power BI.

Responsibilities

• Maintain and optimise business data usage to support decision-making.
• Develop and implement data strategies for analytics enhancement.
• Liaise for data coordination between teams and central systems.

Skills

SQL

Python

ETL Tools

Power BI Development

Financial Services Experience

Job description

Data & Analytics Engineer

Location: London (Hybrid, 3 days in office)

Salary: £60,000-£65,000

We are seeking a skilled Data & Analytics Engineer to join a leading financial services and insurance client. You will play a key role in building, maintaining, and enhancing the company's data systems and management reporting, helping teams turn information into actionable insights.

About the Role

You will design and implement reporting solutions and business intelligence (BI) tools that improve data accessibility and strengthen analytics across the organisation. Working closely with internal teams and external partners, you will support the delivery of the company's data strategy while producing accurate and timely reporting.

Key Responsibilities

• Maintain and optimise business data usage to support decision-making.
• Develop and implement data strategies to enhance the analytical capabilities of Syndicate and Compliance teams.
• Act as the primary liaison for data coordination between the Syndicate team and central systems (HUB).
• Deliver high-quality data for forms, statements, reports, member communications, and online portals.

Essential Skills

• SQL & Python: Writing efficient queries, automating data processing, and analytics scripting.
• ETL Tools: Experience in Extract, Transform, Load processes to consolidate and transform data.
• Power BI Development: Designing, building, and maintaining interactive dashboards and reports for data-driven decision-making.
• Industry Experience: Proven experience working in a financial services environment or insurance broker.