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Tier-1 brand, metro location, and popular mid-senior data engineer title increase candidate competition.
Requires financial-services domain experience plus Azure data platform expertise, limiting cross-industry transferability.
Explicit 10+ years, 5+ years Azure/data platform experience and industry-specific requirements raise screening strictness.
Lead technology solution delivery and team leadership for LSEG's Azure data platform initiatives including Fabric and Purview Service.
Design, implement, and optimize scalable, secure, and high-performance data engineering solutions using Azure services and DevOps/CI/CD pipelines.
Collaborate with business stakeholders, data scientists, analysts, and engineers to translate data needs into efficient, compliant data processing pipelines and architectures.
10+ years IT experience with 5+ years in Data Platforms specifically in Financial Services and Azure PaaS (Fabric, Purview, ADF, Data Lake Storage).
Strong expertise in Azure Data Platform technologies: Fabric, Snowflake, Azure Synapse, Azure Data Factory, Azure Databricks, Azure Blob Storage, Microsoft Purview.
Proficient in SQL, Python, with knowledge of PySpark as a bonus; experience with DevOps tools and Terraform; understanding of Azure security practices and networking concepts.
Preferred certifications: Microsoft Azure DP-203 (Data Engineering) and DP-900 (Azure Fundamentals). Work Experience Required: 10+ years total, 5+ years relevant as specified.
Experienced in leading technical teams and managing delivery in agile, distributed environments with multiple stakeholders.
Strong technical leadership with deep domain expertise in Azure data engineering and compliance/security in the Financial Services industry.
Able to operate autonomously while mentoring junior developers and collaborating effectively across business and technical teams to deliver high-quality data solutions.