Hybrid Data Engineer (Kraków): Cloud ETL & Analytics

Vention; Kraków; Hybrid; PLN 81,244 - 97,315; Full time

Benefits offered by this job

EDU corporate community

Private medical care

MyBenefit credits

Multisport membership

Glasses reimbursement

Referral bonuses

Job summary

Vention in Kraków is seeking a Data Engineer to join a hybrid team building scalable ETL/ELT pipelines and data platforms in cloud environments. You will work with Python, SQL, and Spark to integrate diverse datasets and deliver analytics-ready data for product and business decisions.

Requirements include 2+ years in data engineering, strong Python/SQL, Spark/PySpark, and experience with AWS services or Azure Databricks; English at B2+.

Qualifications

• 2+ years of Data Engineering experience
• Strong Python and SQL proficiency
• Experience with Spark or PySpark for distributed processing
• Experience with AWS (Glue, S3, Lambda) or Azure Databricks
• Experience with streaming technologies (Kafka, Flink) is a plus
• Infrastructure knowledge (Kubernetes, Terraform) is a plus
• Experience in an Agile environment (Scrum, Kanban)
• B2+ English, with experience communicating with English-speaking customers

Responsibilities

• Build, optimize, and maintain scalable ETL/ELT pipelines in cloud environments (AWS, Azure, GCP, Snowflake, Databricks)
• Integrate and manage diverse datasets for analytics and ML
• Design and maintain cloud-native data architectures that scale
• Collaborate with cross-functional teams to translate requirements into data solutions
• Analyze data and create dashboards, reports, and visualizations
• Stay up-to-date with cloud data technologies and best practices

Skills

Data engineering

Python

SQL

Spark/PySpark

AWS services / Azure Databricks

Kafka / Flink

Kubernetes / Terraform

Agile experience

English (B2+)

Job description

Vention in Kraków is seeking a Data Engineer to join a hybrid team building scalable ETL/ELT pipelines and data platforms in cloud environments. You will work with Python, SQL, and Spark to integrate diverse datasets and deliver analytics-ready data for product and business decisions.

Requirements include 2+ years in data engineering, strong Python/SQL, Spark/PySpark, and experience with AWS services or Azure Databricks; English at B2+.