Senior Data Engineer Lodz

Vention; Łódź; On-site; PLN 102,000 - 122,000; Full time

Benefits offered by this job

AI tool licenses

Private medical care

Kafeteria MyBenefit credits

Multisport membership

Glasses reimbursement

Referral bonuses

Job summary

Vention, a global engineering partner, is seeking a Senior Data Engineer in Lodz, Poland. You will build and maintain scalable data pipelines, integrate diverse data sources, and design cloud-native architectures to support analytics and ML use cases.

You’ll work with Python, SQL, and Spark in distributed environments, collaborating with cross-functional teams in a hybrid setup. English proficiency is required.

Qualifications

• 4+ years of experience in Data Engineering.
• Proficient in Python and SQL.
• Strong Spark/PySpark experience.
• Hands-on with AWS or Azure.
• Experience with data lakes and data warehouses.

Responsibilities

• Build, optimize, and maintain scalable ETL/ELT pipelines using cloud platforms
• Integrate and manage diverse data sources, ensuring data quality, reliability, and accessibility for analytics and ML use cases
• Design and maintain cloud-native data architectures (Data Lake, Data Warehouse, Data Lakehouse) that scale with business needs
• Develop data processing solutions using Spark / PySpark in distributed environments
• Collaborate with cross-functional teams to translate business requirements into efficient, scalable data solutions
• Support analytics use cases by enabling data consumption for reporting, dashboards, and visualization tools
• Stay up to date with modern data platform technologies and best practices, contributing to continuous improvement of the data ecosystem

Skills

Python

SQL

English (B2+)

Agile methodologies

Data engineering

Tools

Apache Spark

PySpark

AWS

Azure

Data Lake

Job description

Senior Data Engineer

Salary: from 10000 PLN gross Hybrid Full-time Lodz, Poland (157a Piotrkowska St, 90-440)

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, optimize, and maintain scalable ETL/ELT pipelines using cloud platforms
• Integrate and manage diverse data sources, ensuring data quality, reliability, and accessibility for analytics and ML use cases
• Design and maintain cloud-native data architectures (Data Lake, Data Warehouse, Data Lakehouse) that scale with business needs
• Develop data processing solutions using Spark / PySpark in distributed environments
• Collaborate with cross-functional teams to translate business requirements into efficient, scalable data solutions
• Support analytics use cases by enabling data consumption for reporting, dashboards, and visualization tools
• Stay up to date with modern data platform technologies and best practices, contributing to continuous improvement of the data ecosystem

What you bring

• 4+ years of experience in Data Engineering, delivering end-to-end data solutions
• Strong hands-on experience with Python and SQL
• Solid expertise with Apache Spark / PySpark for distributed data processing
• Hands-on experience with AWS (Glue, S3, Athena, QuickSight) or Azure (Data Factory, Databricks, ADLS)
• Good understanding of modern data architectures: Data Lake, Delta Lake, Data Warehouse
• Experience working in an Agile environment (Scrum, Kanban, etc.)
• English B2+, comfortable 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
• Licenses 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 program
• Referral bonuses for bringing in new talent