Data Engineer

About the role

Bridgit is seeking a Data Engineer to design, build, and maintain scalable batch and streaming data pipelines on AWS and Databricks. You will work closely with senior engineers, analysts, and business stakeholders to deliver reliable data solutions that support the company’s innovative property‑finance products.

Key responsibilities

• Design, develop, and optimise data pipelines for batch and streaming workloads using AWS and Databricks.
• Implement Medallion architecture (Bronze‑Silver‑Gold) for data modelling and transformation.
• Manage ETL/ELT processes with Azure Data Factory, Fabric Pipelines, or equivalent tools.
• Write high‑performance SQL queries and analytical models for reporting.
• Ensure data quality, reliability and lineage through testing, monitoring and documentation.
• Collaborate with data scientists, analysts and business stakeholders to translate requirements into technical solutions.
• Maintain version control, branching and CI/CD pipelines using Git.
• Promote engineering best practices such as modular code design, automated testing and documentation.

Required profile

• 3‑5+ years of experience in data engineering projects covering both batch and streaming workloads.
• Strong engineering mindset with hands‑on experience across the full data lifecycle.
• Passion for modern cloud and AI‑driven data ecosystems.

Required skills

• Python (including NumPy and Pandas)
• SQL
• AWS services
• Databricks and Delta Lake/Lakehouse environments
• Azure Data Factory or equivalent pipeline tools
• Git and CI/CD processes