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Senior Data Engineer
Phoenix GroupSenior Data Engineer at Standard Life to deliver scalable data solutions within Digital, Engineering & Delivery team. Collaborating across teams to ensure data supports innovation and outcomes.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining scalable data pipelines, optimizing data processing systems, and ensuring data quality and governance. Proficient in Python, SQL, and cloud platforms, particularly Azure, with a strong understanding of data modeling and warehouse design.
Highest-signal resume keywords
Data Pipeline DevelopmentPython ProgrammingSQL ProficiencyDatabricks OptimizationCloud Platform Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data PipelineETLELTData ModelingData Warehouse DesignPerformance TuningData Quality AssuranceData GovernanceLarge-Scale Data ProcessingCloud Platforms
Tools & Technologies
DatabricksAzure
Industry Keywords
Data ScienceAnalyticsDigital EnablementReporting
Tech Stack
Tools & technologiesAzureCloudETLPythonSQL
About the role
Key responsibilities & impact- Build and maintain reliable, scalable data pipelines to support digital enablement, reporting, analytics, and data science
- Work closely with analysts, data scientists, and business teams to understand data requirements
- Support and optimise our Databricks platform, ensuring it is used efficiently and at scale
- Develop and maintain ETL/ELT processes to integrate data from multiple systems
- Identify and fix performance issues in data pipelines and queries
- Ensure data quality, security, and governance standards are met
- Create clear documentation for data pipelines and platform design
Requirements
What you’ll need- Hands-on experience with cloud platforms (Azure preferred)
- Proven experience in Python and SQL
- Experience building and optimising data pipelines and large-scale data processing systems
- Good understanding of data modelling and data warehouse design
- Experience with Databricks or similar modern data platforms
Benefits
Comp & perks- bonus
- private medical cover
- 38 days annual leave
- excellent pension
- 12x salary life assurance
- career breaks
- income protection
- 3x volunteering days