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Vecten

AI-native data platform for private capital

Senior Data Engineer - Multiple Teams

Data EngineeringUpdated on Nov 13
Full-timeWarsaw, PolandNo salary listed

About the Job

Requirements

  • At least 5 years of professional experience as a data engineer.
  • An undergraduate or graduate degree in Computer Science, Engineering, Mathematics, or a similar field.
  • Excellent command of spoken and written English at C1 level or higher.
  • Strong professional experience with Python and SQL.
  • Hands-on experience with dbt and Snowflake.
  • Experience building data pipelines with Airflow (DAGs).
  • Expertise in the AWS stack, including S3.
  • Strong understanding of data modeling techniques such as Kimball Star Schema.
  • Strong analytical skills and attention to detail, including asking questions and proactively searching for answers.
  • Creative problem-solving skills.
  • Customer service and troubleshooting skills.

Responsibilities

  • Model datasets and schemas for consistency and easy access.
  • Design and implement data transformations and data marts.
  • Integrate third-party systems and external data sources into a data warehouse.
  • Build data flows for fetching, aggregation, and data modeling using batch pipelines.
  • Design and implement a data system for a US-based private investment firm that drives investment decisions.
  • Integrate data from multiple sources, build a data warehouse, and create pipelines that support machine learning and data-driven decision-making.

Desired Qualifications

  • Experience with infrastructure-as-code tools such as Terraform.
  • A good understanding of Docker.
  • DevOps skills to automate deployment and streamline development.

About the Company

Vecten

AI-native data platform for private capital

Vecten provides AI-native data and technology solutions for high-stakes decisions in private capital and healthcare. Its four-layer approach starts with Vecten Compass for transformation, then Vecten Core to deploy an AI-native data platform in the client’s cloud, Vecten Edge to run ML models, LLM workflows, and AI agents, and Vecten Drive for ongoing operations with monthly subscriptions while ensuring clients own their data. The company differentiates itself by offering a fully productized, end-to-end stack that turns fragmented information into a unified data layer and applied AI across private equity and healthcare use cases. Its goal is to deliver measurable value—enabling faster, more informed decisions, smoother operations, and sustained value creation for clients.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Warsaw, Poland
Founded
2010

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