Data Engineer

The Role:

Key Responsibilities

• Lead the design and development of robust ETL workflows using Informatica/ PowerCenter/IICS/IDMC.
• Architect and implement scalable data sourcing strategies from diverse systems (on-prem, cloud, APIs).
• Ensure data quality, lineage, and governance across ingestion pipelines.
• Design logical and physical data models aligned with business domains and data product principles.
• Contribute to the architecture of enterprise data lakes and data platforms.
• Define standards for metadata, schema evolution, and data partitioning.
• Build and optimize data pipelines on Azure Data Services (Data Factory, Synapse, ADLS).
• Develop and manage Databricks notebooks and workflows for data transformation and analytics.
• Integrate cloud-native tools for monitoring, logging, and performance tuning.
• Implement CI/CD pipelines for data workflows using tools like Azure DevOps, Git, and Terraform.
• Automate deployment and testing of ETL jobs and data pipelines.
• Actively participate in SAFe Agile ceremonies, sprint planning, and backlog grooming.
• Collaborate with Product Owners, Data Architects, and Business Analysts to deliver data solutions.
• Contribute to the design and implementation of data products that serve analytical and operational needs.
• Ensure alignment with enterprise data strategy and governance frameworks.

Ideal Profile:

Required Skills & Qualifications

• 10+ years of experience in Data Engineering, with strong hands-on expertise in Informatica ETL.
• Proven experience in data architecture, especially in data sourcing and data lake platforms.
• Strong knowledge of Azure Data Services, Databricks, and cloud-native data engineering.
• Exposure to DevOps practices and tools for data pipeline automation.
• Experience working in SAFe Agile environments.
• Solid understanding of data governance, metadata management, and data quality frameworks.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Certifications in Azure, Informatica, or Databricks.
• Experience with data mesh or data product architecture.
• Familiarity with Python, SQL, and Spark.

What's on Offer?

• Join a well known brand within Corporate Banking
• Excellent career development opportunities
• Great work environment