Must Have Skills

- - Extensive hands-on experience with Azure Data Lake (including Blob Storage and Delta), Azure Synapse Analytics, and Databricks.
- Proven expertise in SQL/Azure SQL data warehousing and advanced query optimisation.
- Strong background in data engineering practices, including release management, environment controls, and CI/CD pipeline orchestration.
- Proficiency in Python and Spark for data processing and automation.
- Ability to translate business requirements into effective data and analytics solutions, working directly with stakeholders.
- Proven expertise in applying AI and machine learning techniques to data engineering challenges, with a track record of delivering automation and innovation through production grade AI-driven

Job Description :

The Senior Data Engineer will;

- Design, develop, and own core data engineering services, including data orchestration and CI/CD pipelines.
- Build ETL/ELT processes, data lake architectures, data warehouses, and data marts aligned with the company s reporting strategy and best practices.
- Develop relational and dimensional data models to support complex reporting and analytics requirements.
- Deliver reporting solutions that adhere to architectural principles, standards, and best practices.
- Assess and manage the impact of changes on live systems and processes.
- Apply AI expertise to embed machine learning and automation in workflows, driving innovation and efficiency.
- Work proactively in an agile workplace to deliver high-quality solutions on time.
- Mentor and support junior data engineers and developers, fostering technical growth within the team.

Principal Accountabilities :

- Act as a senior contributor in the design and build of Brit s enterprise strategic reporting solutions,



ensuring alignment across all components of the data lake and BI platform architecture, coding practices, and standards.
- Analyse business requirements and deliver robust reporting solutions that meet functional and strategic needs.
- Enforce SDLC best practices, coding standards, and design principles across the data lifecycle and BI/MI solutions.
- Assess business requirements and develop effective data solutions.
- Support the development of Brit-specific data management policies, processes, and standards.
- Stay current with technology trends, platforms, and data engineering techniques, providing input to Brit s strategic roadmap.
- Proactively identify opportunities for automation and continuous improvement, leveraging AI and machine learning to drive innovation and efficiency.
- Develop Proof of Concepts to demonstrate the viability of technical solutions.

Required Skills & Knowledge

- Extensive hands-on experience with Azure Data Lake (including Blob Storage and Delta), Azure Synapse Analytics, and Databricks.
- Proven expertise in SQL/Azure SQL data warehousing and advanced query optimisation.
- Strong background in data engineering practices, including release management, environment controls, and CI/CD pipeline orchestration.
- Proficiency in Python and Spark for data processing and automation.
- Demonstrated ability in Microsoft BI development, covering database design, reporting solutions,



and full development lifecycle.
- Advanced skills in data modelling, problem-solving, and information analysis, with exceptional attention to detail and adaptability.
- Ability to translate business requirements into effective data and analytics solutions, working directly with stakeholders.
- Proven capability to manage tight deadlines and deliver high-quality solutions under pressure.
- Strong interest in emerging data engineering technologies, best practices, and industry trends.
- Experience with container apps (e.g., Azure Container Apps, Docker, or Kubernetes) for deploying and managing scalable data and AI solutions.
- Proven expertise in applying AI and machine learning techniques to data engineering challenges, with a track record of delivering automation and innovation through AI-driven solutions.

Highly Desirable Skills and Knowledge

- Knowledge of London market insurance
- Extensive experience in designing and building data warehouses and data lakes
- Experience working with financial systems and business processes
- Experience with Infrastructure-as-Code (e.g., Terraform)
- Agile development techniques (SCRUM, Kanban, etc.)

Required Toolsets

- Azure Data Lake Storage, Azure Synapse Analytics, Azure Databricks, PySpark, Azure Container Apps, Docker, Python
- Kimball data modelling
- Experience with AI and machine learning toolsets and frameworks relevant to data engineering, such as Azure Machine Learning, Databricks ML, or similar platforms

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 BRIT - Senior Data Engineer (Hubballi)
🏢 SSD Shared Services
📍 Hubballi