Senior Data Engineer

Client of Durlston Partners

What you ll do

• Acquire and ingest datasets from various sources to meet business needs.
• Design, build and manage robust data pipelines and infrastructure to ensure high data quality and reliability.
• Collaborate with cross-functional teams to understand business objectives and translate them into technical solutions.
• Partner closely with quantitative researchers and investment analysts to ensure data products meet research requirements.

What you ll need

• 6+ years experience in Data/Quant Engineering
• Python, SQL
• Modern data warehousing (Snowflake, Databricks, Redshift, etc.)
• Apache Airflow or similar
• Terraform
• Cloud experience (AWS, Azure, GCP)
• Familiarity with common financial datasets (Bloomberg, FactSet, S&P Global, Macrobond, Finaeon, MSCI, etc.)