Finance Data Engineer β€” Hybrid, SQL, Python & Power BI

Finance Data Engineer β€” Hybrid, SQL, Python & Power BI

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Moneycorp

At a Glance

  • Tasks: Build scalable data pipelines and dashboards using SQL, Python, and Power BI.
  • Company: Join Moneycorp, a leading finance company in London with a dynamic team.
  • Benefits: Enjoy hybrid work options, competitive salary, and opportunities for professional growth.
  • Other info: Fast-paced environment with a focus on innovation and collaboration.
  • Why this job: Make an impact in finance by transforming data into actionable insights.
  • Qualifications: Experience with SQL, Python, and Power BI; cloud experience is a plus.

The predicted salary is between 60000 - 80000 Β£ per year.

Moneycorp in London is seeking a Data Engineer to enable Finance & Treasury with scalable data pipelines and reliable data governance.

You will build datasets, models, and dashboards across Microsoft Fabric, supporting transformation and automation in a fast‑paced environment.

The role emphasises SQL, Python, and Power BI, with hybrid work options within the Finance Transformation team. Relevant Cloud and Fabric experience is desirable.

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Finance Data Engineer β€” Hybrid, SQL, Python & Power BI employer: Moneycorp

At Moneycorp, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. Our remote Finance Data Engineer role provides the flexibility to work from anywhere while being part of a global team dedicated to delivering exceptional service in the financial sector. With ample opportunities for professional growth and development, along with a commitment to employee well-being, Moneycorp is the ideal place for those seeking meaningful and rewarding employment.

Moneycorp

Contact Details:

Moneycorp Recruitment Team

We think you need these skills to ace Finance Data Engineer β€” Hybrid, SQL, Python & Power BI

Python
SQL
Problem-Solving Skills
Communication Skills
Data Pipeline Development
Data Engineering
Automation