Senior Data Engineer – Azure, Snowflake, DevOps

Job not on LinkedIn

🕒 August 26

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 33%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Vecten

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

🤖 Artificial Intelligence

🏥 Healthcare

💸 Finance

Artificial Intelligence • Healthcare • Finance

Vecten is an AI-native data and technology partner that builds proprietary data infrastructure and AI systems for private capital (venture capital and private equity) and healthcare & life sciences. It offers a full-stack delivery model — strategy workshops (Vecten Compass), an AI-native data platform deployed in client clouds (Vecten Core), an edge intelligence layer with ML models, LLM workflows and AI agents (Vecten Edge), and continuous operations with forward-deployed engineers and domain-specific AI agents (Vecten Drive). Vecten emphasizes compliant, production-ready systems (including HIPAA-aligned solutions for healthcare), measurable business outcomes, and long-term engineering partnerships; its clients collectively manage $1. 2T+ in assets and the company highlights ~15 years of engineering depth.

📋 Description

• Design, build, and operate Airflow or similar data pipelines across Azure and Snowflake, replacing a legacy ETL platform • Productionize injury-risk and pricing ML/scoring workflows from Jupyter notebooks into reliable scheduled pipelines with seasonal retraining runs • Ingest and manage third-party sports data feeds such as Sportradar and internal application databases • Build and maintain bordereau reporting outputs for insurance carriers and partners • Own DevOps for the data platform, including 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 engineering teams across multiple parallel, largely asynchronous workstreams • Contribute to adjacent Java service, frontend, reporting, and data-platform work as needed

🎯 Requirements

• Senior-level data engineering experience • Strong Python and SQL skills • Solid data modeling knowledge • Production experience with a modern orchestrator such as Prefect, Airflow, or Dagster • Solid hands-on Azure experience across data services, storage, compute, networking, and identity • Confidence running production workloads on Azure • Production experience with Snowflake or another cloud data warehouse • DevOps skills for data platforms, including Docker, CI/CD, infrastructure-as-code using Terraform or similar, monitoring, and alerting • AI-native working style using tools such as Claude and Cursor as a core part of delivery • Flexibility to handle work beyond data engineering, including Java services, frontend tweaks, and infrastructure incidents • Ability to scope ambiguous requests, propose solutions, and deliver without heavy oversight • Fluent English and clear, proactive communication with non-technical stakeholders • Cloud migration experience preferred • Experience in insurance, financial services, or regulated environments preferred • MLOps exposure preferred • Reading-level comfort with Java and JavaScript/React codebases preferred • Experience taking over and stabilizing systems built by someone else preferred

🏖️ Benefits

• Fully paid licenses for Cursor, Claude Pro, etc. • No filler meetings, no Jira bloat, no micromanagement • Total autonomy and ownership of workflow • Direct face-to-face work with CEO, CTO, VPs, and client leadership • Continuous growth and strong knowledge-sharing culture • Opportunity to build systems driving real business decisions • Remote-first work arrangement