Senior Data Engineer

We are looking for a Senior/ Lead Data Engineer to join the Finance Technology team that support critical financial processes—including regulatory reporting, general ledger, and analytics—through modern data platforms and enterprise‑grade engineering standards. The role focuses on designing scalable data architectures, building advanced data pipelines, and applying AI/ML techniques to enhance accuracy, automation, and business insights.

YOUR ROLE

• Lead the design, development, and implementation of enterprise-scale data warehouse, reporting, and analytics solutions, preferably on cloud platforms such as Snowflake.
• Drive the adoption and integration of GenAI, LLMs, and modern AI/ML techniques for ETL automation, data enrichment, reporting commentary, and intelligent data distribution across the enterprise.
• Provide technical leadership and mentorship to a high-performing team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.
• Collaborate with business stakeholders, technology partners, and cross-functional teams to define data strategy, requirements, and deliverables aligned with organizational goals.
• Champion modern SDLC practices, including automated testing, CI/CD, and agile methodologies, to ensure high-quality, scalable, and maintainable solutions.
• Drive automation, data quality, and best practices across all data engineering processes and solutions.
• Ensure robust data governance, security, and compliance throughout the data lifecycle.
• Manage stakeholder relationships, communicate project status, and proactively address risks and challenges.
• Champion the adoption of new technologies and methodologies to enhance data capabilities and business value.

YOUR PROFILE

• 10+ years of experience in data engineering, data architecture, or related roles, with a proven track record of delivering enterprise-level solutions.
• Deep expertise in SQL, data modelling, ETL, and building scalable data pipelines.
• Strong hands-on experience with cloud data platforms (preferably Snowflake) and modern data engineering tools.
• Strong hands-on experience with Python, Shell scripting, and workflow automation.
• Demonstrated experience leveraging GenAI, LLMs, or AI/ML solutions for enterprise data, reporting, and analytics use cases.
• Proven ability to lead, motivate, and develop high-performing teams.
• Strong domain and functional knowledge in finance, investment banking, or related industries.
• Strong understanding of modern SDLC, agile delivery, and innovation in data engineering.

Preferred Skills

• Familiarity with Power BI, Apache Airflow, and OLAP tools.
• Exposure to regulatory and financial reporting requirements.
• Demonstrated track record of driving innovation and GenAI adoption in data engineering projects.

WHAT YOU WILL LOVE ABOUT WORKING HERE

• Access our education library with 250,000+ courses, certifications, and learning resources;
• Well-being Hub: The global Well-Being Hub connects employees across various facets of well-being: work-life balance, working hours and network growth;
• We value flexibility – hybrid work and flexible hours help you maintain a healthy work-life balance;
• We also offer additional benefits such as Employee referral bonus and Company shares program;