Senior Data Engineer — Cloud Data Pipelines & Analytics

Vention; Województwo pomorskie; Hybrid; PLN 101,556 - 121,644; Full time

Benefits offered by this job

Corporate community with 300+ members

Licenses for AI tools

Private medical care

MyBenefit credits

Multisport membership

Glasses reimbursement program

Referral bonuses

Job summary

A global engineering partner in Poland is seeking a Senior Data Engineer to build and optimize scalable ETL/ELT pipelines using various cloud platforms. The ideal candidate will have over 4 years of experience in Data Engineering, strong Python and SQL skills, and a solid background in cloud platforms like AWS, Azure, or GCP. This role offers a hybrid work model and a comprehensive benefits package including private medical care, AI tool licenses, and a Multisport membership.

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, 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.

Responsibilities

• Build and maintain scalable ETL/ELT pipelines in cloud environments.
• Ensure data accessibility and quality for analytics and machine learning.
• Design and maintain high-performance data architectures.
• Collaborate with teams to translate business requirements into data solutions.
• Create dashboards and reports to support decision-making.
• Stay updated with the latest cloud data technologies.

Skills

Python

SQL

Spark/PySpark

AWS

Azure

GCP

Kubernetes

Terraform

Agile methodologies

B2+ English

Job description

A global engineering partner in Poland is seeking a Senior Data Engineer to build and optimize scalable ETL/ELT pipelines using various cloud platforms. The ideal candidate will have over 4 years of experience in Data Engineering, strong Python and SQL skills, and a solid background in cloud platforms like AWS, Azure, or GCP. This role offers a hybrid work model and a comprehensive benefits package including private medical care, AI tool licenses, and a Multisport membership.