Senior Data Engineer

• Design, build, and maintain Azure Data Factory (ADF) pipelines to support complex data integration and transformation needs.
• Develop scalable and optimised data models in Azure Synapse Analytics for analytical and operational reporting.
• Govern and enhance Power BI datasets and semantic models, ensuring best practice in DAX, performance tuning, and report design.
• Lead the development of data architecture and standards across Azure Data Lake and Synapse environments.
• Contribute to the migration to Microsoft Fabric, shaping platform architecture and integration patterns.
• Implement and maintain data validation, monitoring, and quality frameworks.
• Work collaboratively with cross-functional teams to translate business requirements into robust technical solutions.
• Mentor and support data engineers, ensuring adherence to engineering best practices.
• Participate in Agile delivery using Azure DevOps for backlog management, sprint planning, and CI/CD.

• Azure Data Factory: Expert in building, automating, and optimising ETL pipelines.
• Azure Synapse Analytics: Strong experience with dedicated SQL pools, data warehousing concepts, and performance tuning.
• Power BI: Advanced experience managing enterprise models, datasets, and governance processes.
• SQL: Expert-level proficiency in query design, optimisation, and data transformation.
• Azure Data Lake: Deep understanding of data structures, storage layers, and integration for analytics.
• Microsoft Fabric (Emerging): Contribute to the organisation’s transition and adoption strategy.
• Git / Azure DevOps: Skilled in version control, release management, and CI/CD.
• Azure Machine Learning (Desirable): Experience applying or integrating ML models to enhance analytics.
• ChatGPT / Copilot Integrations (Desirable): Experience leveraging AI for data automation and insight generation.

Soft Skills

• Strong leadership and mentoring capability to support and develop junior engineers.
• Excellent documentation and knowledge-sharing practices.
• Analytical and adaptable in resolving complex data challenges.
• Effective communicator, able to collaborate with both technical and business stakeholders.
• Quality-focused with a continuous improvement mindset., * 5+ years of experience in a Data Engineering role within a cloud-based environment.
• Proven delivery of data solutions using Azure Data Factory, Synapse Analytics, and Power BI.
• Experience leading or contributing to data platform modernisation initiatives, ideally involving Microsoft Fabric.
• Prior experience mentoring others and driving technical standards across teams.

TDRC are excited to be once again working with one of the UK’s leading Wealth Management firms.

Through their robust infrastructure, cutting edge technology, and exceptional support, they are delivering an excellent and reliable service to their continuously expanding client base. They are providing the utmost level of quality and security in everything they do., * Holiday Entitlement-25 days rising to 28 over 5 years

• Holiday purchase scheme - 5 days and carry over 5 days into the following year
• 3-4 days over Christmas - offices close
• A day to celebrate your birthday, A day to move house, A day for your wedding
• A day to make a difference (volunteering day) Give blood (2 hours)
• Pension-7% employer / 5% employee contribution
• Private Medical Insurance (PMI) -MHD with optical & dental cover(no upper age limit)
• Group Income Protection (GIP) -75% of salary (to state pension age)
• Death in Service (DIS) -4 x salary (to age 70)
• Critical Illness Cover (CIC) -£10k cover (to age 70)
• Professional qualifications, study, training and development
• And many more…..