Job Description
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