Role Title: Senior Data Engineer

Reports to: Head of IT Delivery

Location: Hub Location (London/Reading/Birmingham/Glasgow/Leeds)

Hours of Work: Full time (35 hours) with 3 days per week in the office

SMCR Function: This is a conduct role

The Senior Data Engineer will lead the design, implementation, and optimisation of data solutions across the Azure platform, ensuring scalability, reliability, and performance. The role includes ownership of data pipelines, modelling within Azure Synapse, and supporting the transition to Microsoft Fabric. The engineer will mentor junior team members, drive data quality standards, and collaborate closely with business and technology stakeholders to deliver enterprise‑grade analytics solutions.

Key Responsibilities

• 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.

Technical Skills

• 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.

Experience

• 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.

SMCR Responsibilities

As an FCA regulated Company, Ascot Lloyd are required to adhere to the Senior Managers and Certification Regime (SMCR), to develop a culture where employees take personal responsibility for their own actions.

Individual Conduct Rules

1. You must act with integrity
2. You must act with due care, skill and diligence
3. You must be open and co‑operative with the FCA, PRA and other regulators
4. You must pay due regard to the interests of customers and treat them fairly
5. You must observe proper standards of market conduct
6. You must act to deliver good outcomes for clients