Data Engineering Lead: Build Finance Data Pipelines (Hybrid) in Manchester

Data Engineering Lead: Build Finance Data Pipelines (Hybrid) in Manchester

Manchester Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
HSS ProService

At a Glance

  • Tasks: Lead the design and development of data pipelines for finance reporting and analytics.
  • Company: Join HSS ProService, a leader in financial data solutions.
  • Benefits: Enjoy a hybrid work model, competitive salary, and mentorship opportunities.
  • Other info: Collaborative environment with opportunities for professional growth.
  • Why this job: Make a significant impact on financial data quality and governance.
  • Qualifications: Experience in data engineering and team leadership required.

The predicted salary is between 70000 - 90000 Β£ per year.

HSS Pro Service is seeking a Data Engineering Lead to own end-to-end data infrastructure powering financial reporting and analytics.

You will mentor a team, design scalable data pipelines from ERP/CRM sources, and own finance data products from ingestion to reporting.

You'll work closely with Finance, FP&A and BI teams to deliver reliable data solutions, drive best practices, and ensure high data quality and governance across the platform.

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Data Engineering Lead: Build Finance Data Pipelines (Hybrid) in Manchester employer: HSS ProService

HSS ProService is an exceptional employer that prioritises employee development and fosters a collaborative work culture. With a focus on driving customer success and operational excellence, employees are empowered to take ownership of their roles while benefiting from comprehensive training and growth opportunities. Located across the UK, HSS ProService offers a dynamic environment where innovation and teamwork thrive, making it a rewarding place to build a meaningful career.

HSS ProService

Contact Details:

HSS ProService Recruitment Team

We think you need these skills to ace Data Engineering Lead: Build Finance Data Pipelines (Hybrid) in Manchester

SQL
Problem-Solving Skills
Data Pipeline Development
Communication Skills
Data Engineering
Python
API Integration