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Senior Data Engineer
Sedona DigitalCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in Data Engineering, focusing on building and supporting production data solutions with strong proficiency in PySpark, SQL, and GCP data technologies. Capable of implementing automated data-quality checks, managing data mappings, and producing comprehensive technical documentation.
Highest-signal resume keywords
PySpark DevelopmentSQL ProficiencyGCP Data TechnologiesData Pipeline TestingDimensional Data Modelling
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Assess and re-engineer ingestion pipelines from operational and source-system data
- Design and implement robust data mappings, lineage, dependencies and controlled migration or cutover approaches
- Develop and maintain detailed data reconciliation processes
- Refactor and enhance PySpark-based data processing and hierarchy/roll-up capabilities
- Introduce testing, versioning, metadata, observability and deployment controls
- Collaborate with business and technical SMEs to improve data coverage
- Assess GCP data pipeline options and contribute to implementation
- Assess opportunities to source mappings and reference data directly from systems such as Microsoft Dynamics 365
- Support reporting hierarchy and filtering logic changes, including impact assessment, testing and reconciliation
- Build and maintain automated data-quality checks, monitoring and operational controls
- Support adoption of centralised reporting and data capabilities
- Produce technical documentation, decision records, reconciliation evidence, variance explanations and handover materials
- Deliver through a prioritised backlog and short iterative sprints with engineers and stakeholders
Requirements
What you’ll need- 5+ years of professional experience in Data Engineering or closely related data roles, with significant hands-on experience building and supporting production data solutions
- Strong hands-on experience with PySpark, SQL and Databricks, including the development and support of production-grade data pipelines
- Hands-on experience with GCP data technologies and data pipelines
- Experience with data pipeline testing, optimisation and operational support
- Strong experience with dimensional, master/reference or hierarchical data modelling
- Experience implementing complex entity matching, data mappings and roll-up logic with appropriate traceability
- Practical experience implementing automated data-quality checks and reconciliation processes
- Experience with observability, audit history, version control and CI/CD within data engineering solutions
- Experience assessing source-system data and documenting data contracts, mappings, lineage and dependencies
- Experience managing controlled data pipeline or platform transitions
- Ability to investigate data issues and clearly explain variances in values, record counts, mappings and hierarchy outcomes
- Ability to work directly with platform teams, analysts and business SMEs, translating ambiguous reporting and mapping needs into tested engineering solutions
- Strong communication skills with the ability to produce concise technical documentation, decision records, variance explanations and handover materials
- Self-motivated and comfortable working within a collaborative, iterative delivery environment
- Preferred: Experience working within Insurance, London Market, Reinsurance, broker, distribution or policy-level data environments
- Preferred: Experience integrating with Microsoft Dynamics 365 or comparable operational source systems
- Preferred: Experience with Power BI, including semantic models and reporting dependencies
- Preferred: Experience with Slowly Changing Dimensions (SCDs) and historical hierarchy management
- Preferred: Experience supporting complex master/reference data, entity matching and hierarchy solutions
- Preferred: Experience investigating historical data and reporting discrepancies
- Preferred: Experience supporting controlled data migrations, source-system transitions or platform changes
- Preferred: Experience working within distributed Agile teams and collaborating with UK-based business and technical stakeholders
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 EngineeringData Pipeline DevelopmentData Reconciliation ProcessesAutomated Data-Quality ChecksEntity MatchingData MappingsHierarchical Data ModellingObservabilityVersion ControlCI/CD
Soft Skills
Strong Communication SkillsCollaborative Work StyleSelf-Motivated
Tools & Technologies
DatabricksMicrosoft Dynamics 365Power BI
Industry Keywords
InsuranceLondon MarketReinsuranceBrokerPolicy-Level Data