Software Engineer (Lakehouse and AI Data Platform)

Location: Warsaw, Mazowieckie, Poland; office-based

Company

hirify.global is a global investment banking, securities and investment management firm with offices around the world.

What you will do

• Build, enhance, and support batch and streaming data pipelines on the Lakehouse and AI data platform.
• Develop raw, refined, and curated datasets for analytics, reporting, operational decision-making, and AI use cases.
• Apply data modelling principles for business entities, relationships, historical changes, schema evolution, and compatibility.
• Implement data quality controls, reconciliation processes, testing, monitoring, and root-cause analysis.
• Optimize data processing and storage through partitioning, clustering, and appropriate normalized or denormalized models.
• Collaborate with engineers, platform teams, and data consumers to deliver reliable production data products.

Requirements

• Bachelor’s or master’s degree in a relevant discipline, or equivalent practical experience, with strong quantitative or data engineering skills.
• Strong hands-on programming experience in Python or Java and good working knowledge of SQL.
• Experience building or supporting production data pipelines in a collaborative engineering environment.
• Experience with distributed data processing frameworks such as Apache Spark.
• Knowledge of temporal data modelling, schema design, schema evolution, partitioning, clustering, and data compatibility.
• Familiarity with version control, testing, release discipline, CI/CD, and data formats including JSON, Avro, and Parquet.

Nice to have

• Experience with Kafka, Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, or Sybase IQ.
• Exposure to containerized or Kubernetes-based deployment approaches.
• Ability to contribute to technical design, platform standards, and delivery approaches across multiple use cases.

Culture & Benefits

• Engineering teams build scalable systems and work closely with business and platform users.
• Training and development opportunities support long-term professional growth.
• Firmwide networks, wellness programs, and personal finance offerings are available.
• Reasonable accommodations are available during the recruiting process for candidates with special needs or disabilities.