Senior Data Engineer: Cloud Pipelines, Analytics & Insights

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

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.