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Job Description

Job Title: Senior Data Engineer

Summary:

The Senior Data Engineer will play a key role in designing, developing, and delivering high-quality, reliable data solutions that support the organisation’s strategic data initiatives. This role requires deep technical expertise in modern data engineering practices, strong analytical and problem-solving abilities, and the capability to collaborate effectively with cross-functional teams.

Key Responsibilities

Design, build, and optimise scalable data pipelines and workflows. Develop and maintain data models and data warehouse structures to support analytical and operational needs. Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver robust data solutions. Troubleshoot data discrepancies, performance issues, and system errors. Ensure compliance with data security, governance, and regulatory standards. Support and enhance existing data engineering processes and platforms.

Essential Skills & Knowledge

SQL Server Proficiency:

Strong expertise in Microsoft SQL Server and SQL. Skilled in querying, performance tuning, and database optimisation.

Data Warehousing & Modelling:

In-depth understanding of data warehousing principles and modelling concepts. Experience with designing efficient schemas, including normalisation and denormalisation techniques.

ETL / ELT Pipelines:

Proven experience building and maintaining ETL/ELT processes. Ability to extract data from diverse sources, transform it effectively, and load it into data warehouse environments.

Problem-Solving:

Strong analytical skills to diagnose data issues, resolve performance challenges, and support user queries.

Security Awareness:

Good understanding of data security best practices and compliance frameworks (e.g., GDPR). Experience working with sensitive corporate data.

Industry Knowledge:

Experience within the insurance industry is required.

Technologies & Tools

Snowflake Data Cloud and related technologies (e.g., Fivetran, DBT, Dataiku, Collibra ). Microsoft Azure, including Azure Synapse and Azure DevOps. Microsoft SQL Server tools, including Master Data Services, SSIS, SSAS, and SSRS. Programming experience with Python and C#. Microsoft Power BI for data visualisation. Microsoft Office 365.

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