Senior Data Engineer, DBT, Airflow, Snowflake

Job not on LinkedIn

🕒 July 27

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🚰 Data 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

• Modeling datasets and schemes for consistency and easy access, • Design and implement data transformations and data marts, • Integrating third-party systems and external data sources into data warehouse, • Building data flows for fetching, aggregation and data modeling using batch pipelines.

🎯 Requirements

• At least 5 years of professional experience as a data engineer, • Undergraduate or graduate degree in Computer Science, Engineering, Mathematics, or similar, • Excellent command in spoken and written English, at least C1, • Strong professional experience with Python and SQL, • Hands on experience on DBT and Snowflake, • Experience in building data pipelines with Airflow (DAGs), • Expertise in AWS stack (S3), • Strong understanding of various data modeling techniques like Kimball Star Schema, • Great analytical skills and attention to detail - asking questions and proactively searching for answers, • Creative problem-solving skills, • Great customer service and troubleshooting skills. • You will score extra points for: • Experience with infrastructure-as-code tools, like Terraform, • Good understanding of Docker, • DevOps skills to automate deployment and streamline development,

🏖️ Benefits

• Working alongside a talented team that’s changing the image of Poland abroad. • Flexible working hours and remote work possibility. • Comfortable office in a penthouse in central Warsaw equipped with all the necessary tools to conquer the universe (Macbook, external screen, ergonomic chairs). • Fully equipped kitchen with fruit, hot and cold drinks. • Culture of good feedback: evaluation meetings, mentoring. • We value and appreciate our engineers eagerness to learn and improve so we strongly encourage and support their growth!