Data Engineer

About the Role

We are hiring a Data Engineer to design and build scalable data pipelines and platforms powered by cloud technologies. In this position, you will contribute to enterprise data infrastructure initiatives in financial services, taking ownership of end-to-end data solutions—from ingestion through analytics delivery. The role calls for strong technical capability and the ability to partner across teams to produce high-quality, governed data systems.

Key Responsibilities

• Design & build data pipelines - develop ETL/ELT workflows, perform data transformations, and build real-time streaming capabilities
• Architect data platforms - create schemas, improve performance, and ensure scalability
• Implement data governance - oversee access control, run data quality checks, and maintain metadata tracking
• Support banking/financial use cases - work with transaction datasets, customer analytics, and risk reporting
• Optimize performance & costs - tune queries, manage cloud resources, and balance speed with cost efficiency
• Collaborate with teams - partner with analysts, data scientists, DBAs, and architects
• Document & share knowledge - create runbooks, design documents, and best-practice guides

Required Qualifications

• Advanced proficiency in:Snowflake OR Databricks - hands-on production experience with complex queries and performance tuningData Modeling - develop normalized/dimensional schemas for analyticsCloudera OR Teradata - experience with at least one legacy/on-premises platform
• 5+ years in data engineering roles
• Strong SQL - create efficient, optimized queries
• Python or Scala - build data transformations and automation
• Banking or financial services data experience - understand regulatory requirements (AML, reporting)

Recommended Skills

• Experience with both a cloud platform (Snowflake/Databricks) AND a traditional warehouse (Cloudera/Teradata)
• Apache Spark - distributed processing and optimization
• Data governance tools - custom metadata systems and data catalogs
• Cloud platforms - AWS, Azure, or GCP
• Real-time data - streaming pipelines using Kafka and Flink
• Agile and collaborative working environment

What We're Looking For

• Hands-on builder - you have delivered multiple production pipelines
• Detail-oriented - you prioritize data quality, documentation, and long-term maintainability
• Curious learner - you stay current with data engineering trends
• Problem solver - you troubleshoot performance issues and propose well-crafted solutions
• Team player - you collaborate effectively, ask thoughtful questions, and share knowledge