Lead Data Engineer (Capital Markets Risk - Data Visualization)

EPAM Systems

EPAM Systems is a top player in digital transformation, aiming to grow its Data Practice in the UK to address client needs. They seek a Lead Data Engineer with expertise in risk-focused data engineering and visualization to bolster their team in Capital Markets Risk.

In this role you can expect to have the responsibilities:

• Design and optimize data pipelines and infrastructure for risk analytics in capital markets.
• Manage workflows, DAGs, and tasks in Apache Airflow.
• Deploy and manage cloud database services, preferably Snowflake.
• Utilize SQL and Python for data analysis.
• Develop risk technology solutions such as VaR and Stress Testing.
• Create risk reports and calculate KPIs.
• Facilitate communication between business and tech teams.
• Develop dashboards using tools like Qlik or Power BI.
• Implement cloud solutions with technologies like AWS.
• Ensure data quality through validation and governance.
• Collaborate with cross-functional teams.
• Troubleshoot and resolve data-related issues.
• Use Git, Bamboo, or Jira for SDLC management.

This role comes with the following benefits:

• EPAM Employee Stock Purchase Plan.
• Life assurance, income protection, and critical illness cover.
• Private medical insurance and dental care.
• Employee Assistance Program.
• Group pension plan.
• Cyclescheme, Techscheme, and season ticket loans.
• Free Wednesday lunch, on-site massages, and social events.
• Learning and development opportunities.
• Discretionary annual bonus and LTI Program eligibility.

This role requires you to have:

• Risk analytics expertise.
• Proficiency in Python or another programming language.
• SQL and Python for data manipulation.
• Experience with cloud databases, particularly Snowflake.
• Skill in data visualization tools like Qlik or Power BI.
• Knowledge of cloud solutions with AWS.
• Familiarity with SDLC tools like Git, Bamboo, or Jira.

You would benefit from having:

• Understanding of derivatives and risk management.
• Knowledge of data processing libraries and tools.
• Experience with HTML, CSS, and JavaScript for visualizations.
• Expertise in Apache Airflow.
• Experience with real-time data processing like Apache Flink or Kafka Streams.

All benefits and perks are subject to eligibility requirements.