Senior Data Engineer (Azure / Snowflake / DevOps)

Vecten is an AI-native data and technology partner for private capital and healthcare, founded in 2010 and headquartered in Warsaw. They work with leading PE firms, VC funds, and healthcare organizations to build proprietary data infrastructure, deploy AI solutions, and drive AI-native transformation. Their clients manage a cumulative $1.2T+ in assets, with average engagements running five years.

• Senior-level data engineering experience with strong Python and SQL skills
• Solid data modeling expertise
• Production experience with modern orchestrators like Prefect, Airflow, or Dagster
• Hands-on experience with Azure data services, storage, compute, networking, and identity, capable of running production workloads
• Experience with Snowflake or similar cloud data warehouses in production
• DevOps skills applied to data platforms: Docker, CI/CD, infrastructure as code (Terraform or similar), monitoring, and alerting
• AI-native way of working, using tools like Claude and Cursor
• Flexibility to handle work beyond pure data engineering including some Java service, frontend tweaks, and infrastructure incidents
• Self-directed, able to scope ambiguous requests and deliver without heavy oversight
• Fluent English with clear, proactive communication with non-technical stakeholders

Nice to have:

• Cloud migration experience moving workloads, databases, and pipelines between clouds or platforms
• Experience in insurance, financial services, or regulated environments
• Exposure to MLOps including model training infrastructure, feature pipelines, scheduled scoring
• Reading-level comfort with Java and JavaScript/React codebases
• Experience stabilizing systems built by others

• Design, build, and operate data pipelines in Airflow (or similar) across Azure and Snowflake, replacing a legacy ETL platform
• Productionize ML and scoring workflows from Jupyter notebooks into reliable, scheduled pipelines including seasonal retraining
• Ingest and manage third-party sports data feeds and internal application databases
• Build and maintain reporting outputs for insurance carriers and partners
• Own DevOps for the data platform: Azure infrastructure, infrastructure as code (IaC), continuous integration and deployment (CI/CD), monitoring, secrets, and access management
• Support the migration from AWS to Azure and optimize infrastructure costs
• Collaborate directly with client stakeholders and external vendor teams asynchronously using Jira and Slack