Lead Data Engineer

🕒 March 31

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GLAS

WebsiteLinkedInAll Job Openings

201 - 500 employees

💸 Finance

💳 Fintech

🤝 B2B

Finance • Fintech • B2B

GLAS is a global independent, non-creditor provider of loan agency, trustee and debt administration services focused on syndicated and bilateral lending, structured finance, capital markets, escrow and complex restructurings. Headquartered in London with a network of international offices, GLAS offers facility, administrative, collateral and paying/fiscal agent roles, proprietary transaction technology, in-house legal teams, and 24-hour support for institutional clients. The firm holds multiple regulatory licences (TIA, BaFin, ACPR, ASIC, PSD2) and specialises in handling distressed, cross-border and unusual transactions for banks, law firms, private equity and corporate borrowers.

📋 Description

• Develop, maintain, monitor, and enhance Azure Synapse-based enterprise data warehouse • Lead the design and implementation of robust data pipelines, monitoring frameworks, and automation strategies • Ensure timely, accurate, and governed data delivery • Identify opportunities to leverage AI and machine learning to automate data engineering workflows • Support, mentor, and guide a small team of data engineers • Foster a culture of innovation, collaboration, and continuous improvement • Manage technical backlogs and ensure alignment with ISO and governance standards

🎯 Requirements

• Proven experience in leading and developing high-performing data engineering teams • Deep hands-on experience with Azure Synapse, including dedicated SQL pools, serverless architecture, workload management, and performance tuning • Advanced skills in building and optimizing ETL/ELT pipelines using Azure Data Factory, Python, and SQL • Strong understanding of data governance principles, lineage tracking, and quality frameworks • Experience designing structured, validated, and governed data environments to support AI-driven analytics • Strong command of SQL Server, T-SQL, Python • Hands-on experience with Azure Monitor for performance tracking • Familiarity with integrating data pipelines into enterprise reporting environments • Experience with cloud-native data platforms and DevOps practices • Comfortable working in Agile environments using tools such as Jira and Azure DevOps • Understanding of data security best practices

🏖️ Benefits

• Base salary + bonus • 28 days annual leave + bank holidays • Long service award • Private Medical Insurance • Private pension plan • Life insurance plan • Employee Assistance Program (EAP) • Yearly eye examination • Gym membership discount • Career development and study support