Lead Data Engineer Location: London (Hybrid) Salary: Competitive bonus About GLAS GLAS is a leading global provider of institutional debt administration services, supporting lenders, borrowers, issuers, and advisers across Loan Agency, Capital Markets, and Restructuring. With c.500 employees across major financial centres—including London, New York, Paris, Frankfurt, Singapore, and Sydney—GLAS delivers innovative, solution-led services to a blue-chip client base including Apollo, Blackstone, CVC, Deutsche Bank, and Goldman Sachs. Our vision is simple: to be the best-in-class independent, conflict-free partner for institutional debt administration—helping clients achieve successful outcomes on complex transactions. The Opportunity As part of our continued investment in data and analytics, we are hiring a Lead Data Engineer to join our Business Solutions team. This is a pivotal role responsible for evolving our Azure Synapse-based enterprise data platform into a scalable, governed, and high-performing “single source of truth” across the organisation. You’ll combine hands-on engineering expertise with strategic leadership, driving the development of robust data pipelines, advancing data governance, and enabling AI-ready data capabilities. What You’ll Be Doing Platform & Data Engineering Own and optimise our Azure Synapse Analytics platform Design and build scalable ETL/ELT pipelines using Azure Data Factory, SQL, and Python Implement monitoring, alerting, and automation to ensure data reliability and performance Deliver a secure, high-quality enterprise data warehouse supporting critical reporting and analytics Data Governance & AI Enablement Establish and embed data quality, lineage, and governance frameworks Ensure data is clean, validated, and AI-ready Drive initiatives leveraging AI/ML to improve data engineering workflows (e.g., anomaly detection, automation) Collaborate with stakeholders across Debt Capital Markets and Loan Administration to improve data integrity Leadership & Delivery Lead, mentor, and develop a growing team of data engineers Foster a culture of innovation, collaboration, and continuous improvement Own technical backlogs and delivery through Agile frameworks Represent Data Engineering across cross-functional initiatives and governance forums What We’re Looking For Experience & Technical Expertise Proven experience in a Lead / Senior Data Engineering role, ideally within financial services Deep expertise in Azure Synapse Analytics (dedicated SQL pools, performance tuning, architecture) Strong experience building data pipelines with Azure Data Factory, Python, and SQL Advanced SQL / T-SQL skills and strong scripting ability Data & Platform Capability Strong understanding of data governance, quality frameworks, and lineage tracking Experience building AI-ready data environments Hands-on experience with monitoring and observability tools (e.g., Azure Monitor, Log Analytics) Exposure to Power BI and data modelling concepts Leadership & Delivery Experience leading and mentoring engineers within agile environments Strong stakeholder management and ability to translate business needs into technical solutions Knowledge of DevOps practices (CI/CD, IaC, version control) Security & Domain Understanding of data security, access controls, and regulatory requirements Financial services experience (especially Debt Capital Markets or Loan Administration) is highly desirable Why Join GLAS? Play a key role in shaping a modern enterprise data platform Work with a global, high-calibre client base Be part of a business investing heavily in data, analytics, and AI Lead and grow a high-impact engineering team Benefits Competitive base salary bonus 28 days annual leave bank holidays Private medical insurance & pension Life insurance Employee Assistance Programme (EAP) Eye care support Gym membership discounts Ongoing career development and study support