Quick summary

Work type
On-site
Location
Warsaw, Poland
Posted
3 days ago

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Salary context

How this pay compares to similar roles

Similar $176k
$132k most similar roles pay here $229k

This listing doesn't post a salary. Most similar roles pay $141,383–$210,025.

Based on 240 similar postings.

Employer

About Balyasny Asset Management

Balyasny Asset Management (BAM) is a global multi-manager hedge fund offering diversified investment strategies across equities, macro, commodities, and systematic trading.

Balyasny Asset Management currently has 47 open roles on FindRole.

Listed pay typically runs $175,000–$242,500 across 26 roles with salary data.

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At a glance

TL;DR · Job Detail

The Senior Datawarehouse Engineer position within the Enterprise Data Intelligence team at our technology function involves building a new corporate data warehouse for enterprise reporting. This high-impact role requires working closely with Analytics, Applied AI, and DevOps Engineers on Snowflake, DBT, Airflow (Astronomer), FiveTran, Sigma Computing, and PowerBI to develop automated data pipelines, frameworks, and governance solutions. The ideal candidate will have 5+ years of experience in Snowflake and 3+ years with DBT, along with strong Python skills for data transformation tasks. Experience with AI coding tools like Claude Code is a significant advantage. This role demands expertise in complex financial datasets, data modelling, automation, and data quality assurance, supporting a large self-service BI user base while contributing to the Centre of Excellence as we expand our self-service BI function.

What you'll do

  • Build data analysis pipelines and frameworks for business-critical systems.
  • Create automated data quality solutions ensuring minimal engineer intervention.
  • Develop data governance frameworks to ensure data security and integrity.
  • Optimize data warehouse workloads for cost-effective and high-performance operations.
  • Design training documentation for other teams to enhance their capabilities.
  • Model data for the semantic layer, creating datasets for self-service BI.

What we're looking for

  • Demonstrable experience with complex data sets, preferably in a financial setting.
  • Strong data modelling skills for semantic layer and self-service consumption.
  • Expertise in Snowflake with at least 5 years of experience.
  • Production deployments of DBT with at least 3 years of experience.
  • Proficient Python skills for data pipeline and transformation work.
  • Experience using AI coding tools to accelerate data engineering tasks.
  • Focus on automation, data quality, and optimizing data warehouse performance.

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