Pensions Data Solutions Engineer (Hybrid)

Pensions Data Solutions Engineer (Hybrid)

Full-Time 35000 - 45000 £ / year (est.) No working from home possible
S

At a Glance

  • Tasks: Design and optimise data solutions for pension onboarding and administration.
  • Company: Join Standard Life plc, a leader in the financial services industry.
  • Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment focused on improving data quality and member outcomes.
  • Why this job: Make a real difference in pension data management while using your tech skills.
  • Qualifications: Strong Python and SQL skills with experience in data modelling.

The predicted salary is between 35000 - 45000 £ per year.

Standard Life plc is seeking a Data Solutions Specialist to design, build and optimize data solutions for BPA onboarding and scheme administration across the UK.

You will combine strong Python and SQL skills with data modelling experience to deliver scalable, compliant pension data tools.

The role sits in BPA Data, partnering with Transformation to improve data quality, automate pipelines and support reform programmes while aligning to scheme requirements and member outcomes.

#J-18808-Ljbffr

Pensions Data Solutions Engineer (Hybrid) employer: Standard Life plc

At Standard Life, we pride ourselves on being an exceptional employer, offering a supportive work culture that values flexibility and personal growth. With competitive benefits including up to £105,000 salary, generous annual leave, and opportunities for career development, our London-based team thrives in an environment that encourages innovation and collaboration. Join us as a Principal Cloud Architect and be part of a company dedicated to making a meaningful impact in the retirement sector while enjoying a balanced work-life approach.

S

Contact Details:

Standard Life plc Recruitment Team

We think you need these skills to ace Pensions Data Solutions Engineer (Hybrid)

Communication Skills
SQL
Problem-Solving Skills
Python
Automation
Attention to Detail
Data Engineering