Senior Data Engineer

Quick Facts

• Role: Senior Data Engineer

• Focus: End-to-end ownership of a cloud data platform for investment reporting and decision-making

Description

You will own the data platform investment teams use for reports and decisions, from data modeling to production-ready pipelines. You will build ETL/ELT pipelines in Snowflake with dbt and Airflow using Python and SQL, and ensure reliability through data quality, performance/cost controls, governance, and access control. The team follows a Forward Deployed model where you collaborate directly with partners and your work counts only when it is used in production.

Responsibilities

• Define data modeling that supports reporting and business definitions

• Develop and maintain production-ready ETL/ELT pipelines in Snowflake

• Implement data quality, consistency, performance, and cost controls (including Snowflake cost)

• Set up data governance with lineage, metadata, and automated quality checks using tools like Atlan or Monte Carlo

• Implement access control for confidential deal data based on deal visibility rules

• Enable business, analytics, and engineering teams to use data without excessive back-and-forth

Requirements

• Senior Data Engineer experience (typically 5+ years)

• Built cloud data pipelines

• Run dbt in production with tests and CI

• Strong data modeling that holds up under peer scrutiny

• Business-outcome oriented approach

• Fluent English for daily US calls; working Polish within the team

• Bonus: experience with financial or investment data engineering, or background in finance or consulting

Benefits

• Embedded Forward Deployed Engineer model with direct ownership in production

• Senior-only team with collaboration at the investment team level

• No proof-of-concept work; impact is measured by daily usage and value delivered

• Response within 5 working days for recruitment steps