Senior Data Engineer - Databricks & PySpark (Hybrid)

Royal London Group; City of Edinburgh; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

28 days annual leave

Employer pension scheme (14% match)

Private medical insurance

Job summary

Royal London Group is seeking a Senior Data Engineer to join the Group Data & AI Office. The role focuses on designing, building and optimising data pipelines and data products using Databricks, PySpark and Python in a hybrid setup with split time between home and office.

You will own workstreams, contribute to governance and engineering standards, and mentor colleagues within a mature engineering environment.

Qualifications

• Hands-on data engineering experience.
• Ability to own workstreams and deliverables.
• Mentor colleagues where appropriate.
• Clear communication with technical and non-technical stakeholders.

Responsibilities

• Design, build and optimise data pipelines and data products.
• Develop data engineering solutions using Databricks, PySpark and Python.
• Create notebooks, frameworks and reusable components.
• Contribute to data governance, standards and best practices.
• Mentor colleagues within the engineering community.

Skills

Hands-on data engineering

Ownership

Mentoring

Stakeholder communication

Tools

Databricks

PySpark

Python

Job description

Royal London Group is seeking a Senior Data Engineer to join the Group Data & AI Office. The role focuses on designing, building and optimising data pipelines and data products using Databricks, PySpark and Python in a hybrid setup with split time between home and office.

You will own workstreams, contribute to governance and engineering standards, and mentor colleagues within a mature engineering environment.