Senior Data Engineer (Azure / Snowflake / DevOps)

Vecten; Województwo mazowieckie; On-site; PLN 180,000 - 250,000; Full time

Job summary

Vecten is partnering with a US insurance leader to rebuild and operate a modern data platform. You’ll replace legacy ETL with new pipelines and manage a bronze/silver/gold architecture across Azure and Snowflake.

This role involves productionizing ML scoring, ingesting third‑party data feeds, and owning the DevOps under the data platform, including CI/CD, IaC, monitoring, and cost optimization.

Collaborate with client stakeholders and vendor teams to deliver end-to-end data solutions.

Qualifications

• Experience building data pipelines with Airflow in Azure/Snowflake environments.
• Ability to productionize ML workflows from notebooks into scheduled pipelines.
• Experience ingesting third-party data feeds and managing databases.
• Strong DevOps practices for data platforms including IaC and CI/CD.
• Familiarity with AWS-to-Azure migration and cost optimization.

Responsibilities

• Design, build, and operate data pipelines across Azure and Snowflake using Airflow.
• Productionize ML scoring workflows and automate end-to-end data processes.
• Ingest third-party data feeds and manage internal databases.
• Develop reporting outputs for carriers and partners.
• Own DevOps for the data platform, including security and monitoring.
• Collaborate with client stakeholders and vendor teams.

Skills

Airflow

Azure

Snowflake

Data pipelines

DevOps for data platforms

ML pipelines

SQL

Tools

Jupyter notebooks

Terraform

CI/CD

Job description

About the Company

We are an AI-native data and technology partner for private capital and healthcare. Founded in 2010 and headquartered in Warsaw, we work with leading PE firms, VC funds, and healthcare organizations to build proprietary data infrastructure, deploy AI solutions, and drive AI-native transformation. We've restructured our own company around AI - tools, policies, roles, delivery models.

The Opportunity

Our client is a US insurance leader for youth and college sports. Their data estate is at an inflection point: a legacy enterprise ETL platform is being decommissioned, pipelines are moving to a modern orchestration stack, and the whole platform is consolidating onto Azure. You'll join a small senior pod as the full-time engineering backbone of the account. This is not a ticket-taking role; we're expected to propose, decide, and deliver.

What you’ll be doing

The core of the work is rebuilding and running the client’s data platform: replacing legacy ETL with new pipelines, operating a medallion (bronze/silver/gold) architecture across Azure and Snowflake, productionizing ML scoring pipelines, and owning the infrastructure underneath it all. Expect a long tail of adjacent work: reporting pipelines for insurance carriers, third-party sports data feeds, and occasional backend or frontend tasks.

Your Responsibilities

• Design, build, and operate data pipelines in Airflow (or similar) across Azure and Snowflake.
• Productionize ML and scoring workflows from Jupyter notebooks into reliable, scheduled pipelines.
• Ingest and manage third-party data feeds and internal application databases.
• Build and maintain reporting outputs for insurance carriers and partners.
• Own DevOps for the data platform: Azure infrastructure, IaC, CI/CD, monitoring, secrets, and access management.
• Support the AWS-to-Azure migration and infrastructure cost optimization.
• Collaborate directly with client stakeholders and external vendor teams.