Data Engineer (DataLake) - All levels

📋 Description

• Developing batch, CDC and/or streaming data ingestion pipelines from multiple source systems.
• Implementing Bronze, Silver and Gold data layers, including data cleansing, transformation and
• Developing reusable data pipelines and supporting data product implementation.
• Implementing data quality, reconciliation, validation and monitoring controls.
• Supporting data migration, integration testing, UAT and production release.
• Working with the architecture team to ensure solutions follow agreed cloud, security, governance

🎯 Requirements

• 4+ years of experience in data engineering or related roles.
• Strong experience in Databricks, Azure, SQL, Python/PySpark, ETL/ELT, Delta Lake, data modelling
• Experience in financial services especially asset management or large-scale data transformation
• Experience in working on an end-to-end enterprise data transformation, from source ingestion

🎁 Benefits

• Work on engaging projects with some of the largest banks/insurance in the world, on projects that
• Work in a collaborative, flat, and entrepreneurial consulting culture.
• Access continuous learning, training, and industry certifications.
• Be part of a team shaping the future of digital financial services.
• Help shape the future of digital transformation across FS & Energy.
• A work culture focused on innovation and creating lasting value for our clients and employees.