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# Senior Data Engineer

- **Company:** LV=
- **Location:** Bournemouth, UK
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Microsoft Azure, Cloud Computing, Data Governance, Extract Transform Load (ETL), Data Security, Data Warehousing, SQL Databases, Technical Data Management Systems, Azure Data Factory, Data Strategy, Pyspark, Data Management, Databricks, Programming Languages
- **Published:** September 8, 2026
- **Apply:** https://www.collegerecruiter.com/job/2840675020-senior-data-engineer

## About the Role

* Strong working knowledge of data warehousing, ETL/ELT processes and programming languages (SQL, Python, PySpark).
 * Experience with cloud-based BI/MI technologies such as Azure, Databricks, Azure Data Factory and Fabric.
 * Proven experience leading work streams within data-centric or technical projects.
 * Ability to apply tools and processes for data security, quality and accuracy, implementing best-practice data management, governance and quality standards.
 * Exceptional communication skills, translating technical data to non-technical audiences.
 * Ability to work accurately under pressure in fast-paced environments, prioritising tasks to stay responsive to business needs.
 * Experience building and maintaining relationships externally and internally.
 * Previous experience in the insurance/financial services sector.

## Description

* Utilise cloud technologies and programming languages to develop and maintain centralised data platforms that support the business's operational and strategic needs.
 * Collaborate with stakeholders to translate data requirements into actionable requests or build solutions.
 * Coordinate prioritisation of data requests with the project manager to meet business needs in a controlled manner.
 * Lead the development and improvement of technical data standards and ensure data products are compliant.
 * Act as the Data Workstream Lead for change portfolios, providing technical knowledge and design steer to align solutions with our data strategy.
 * Manage and review work of engineers and offshore partners, mentoring and sharing best practices.
 * Ensure documentation of all data processes and reports, and continuously improve data governance and quality processes.


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