Senior Data Engineer Krakow

Vention; Kraków; On-site; PLN 100,000 - 120,000; Full time

Benefits offered by this job

Private medical care with LuxMed

Kafeteria MyBenefit credits

Multisport membership

Glasses reimbursement

Referral bonuses

Participation in tech communities and events

Job summary

A global engineering partner in Poland is seeking a skilled Data Engineer to build and maintain scalable ETL pipelines in cloud environments. Candidates should have over 4 years of experience in data engineering, strong skills in Python and SQL, as well as substantial knowledge of modern data architectures. The role offers opportunities to work with cloud platforms like AWS and Azure, and requires effective communication in English. Competitive benefits, including private medical care and AI tool licenses, are provided.

Qualifications

• 4+ years of experience in Data Engineering.
• Strong experience with Python and SQL.
• Solid knowledge of Spark/PySpark for distributed data processing.
• Hands-on experience with cloud platforms (AWS/Azure/GCP).
• Experience with modern data architectures such as Data Lake and Data Warehouse.
• Infrastructure knowledge (Kubernetes, Terraform) is a plus.
• Experience working in an Agile environment.
• B2+ English proficiency.

Responsibilities

• Build, optimise, and maintain scalable ETL pipelines in cloud environments.
• Integrate and manage diverse datasets.
• Design and maintain cloud-native data architectures.
• Collaborate with cross-functional teams for data solutions.
• Analyse data and create dashboards to support decision-making.
• Stay updated with cloud data technologies.

Skills

Data Engineering

Python

SQL

Spark/PySpark

Cloud platforms (AWS/Azure/GCP)

Agile methodologies

Kubernetes

Terraform

English (B2+)

Tools

AWS

Azure

GCP

Snowflake

Databricks

Job description

Apply

Vention is a global engineering partner to tech leaders and fast‑growing startups, combining 20+ years of product development expertise with an AI‑first approach and a reputation for reliable delivery.

With 150+ data engineers and over 20 years of experience, we help startups and enterprises turn data into smart decisions and better user experiences. Our teams work with Python, Java, Scala, and R to build scalable data pipelines and infrastructure that power real results.

What you’ll do

• Build, optimise, and maintain scalable ETL/ELT pipelines in cloud environments (AWS, Azure, GCP, Snowflake, or Databricks)
• Integrate and manage diverse datasets, ensuring accessibility and quality for analytics and machine learning
• Design and maintain cloud‑native, high‑performance data architectures that scale with our business needs
• Collaborate with cross‑functional teams to translate business requirements into efficient data solutions
• Analyse data and create dashboards, reports, and visualisations to uncover trends and support decision‑making
• Stay up‑to‑date with the latest cloud data technologies and industry best practices, bringing innovation to our data ecosystem

What you bring

• 4+ years of experience in Data Engineering
• Strong experience with Python and SQL
• Solid knowledge of Spark/PySpark for distributed data processing
• Hands‑on experience with cloud platforms AWS/Azure/GCP
• Experience with modern data architectures such as Data Lake, Delta Lake, Data Warehouse, and Data Mesh
• Infrastructure knowledge (Kubernetes, Terraform) would be a plus
• Experience working in an Agile environment (Scrum, Kanban, etc.)
• B2+ English, with experience communicating with English‑speaking customers

What you’ll get

• EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track.
• Licences for AI tools: GitHub Copilot, Cursor, and others.
• Private medical care with LuxMed.
• Kafeteria MyBenefit credits for stores, restaurants, and cafés.
• Access to a Multisport membership to stay active.
• Glasses reimbursement programme.
• Referral bonuses for bringing in new talent.

Interested in working with us?

View our job openings.