Remote Data Engineer - Databricks & Data Platform Builder

Polcode; Warszawa; Remote; PLN 152,000 - 207,000; Full time

Benefits offered by this job

Multisport card

Private medical care

Life insurance

Equipment provided

Work-life balance emphasis

Job summary

Polcode, a Poland-based software house, is seeking a Data Engineer with strong Databricks experience to join a long-term energy-sector project. The cooperation runs until the end of 2027 with a possibility to extend, and focuses on building a modern data platform with emphasis on data quality and scalable processes.

You will design scalable data solutions in Databricks, build data models for reporting, develop ETL/ELT pipelines, and work with Python and SQL.

Qualifications

• Several years of commercial Data Engineering experience.
• Hands-on commercial experience with Databricks.
• Solid Python and SQL skills.
• Experience with data modelling and ETL/ELT processes.
• Experience building and orchestrating data pipelines.
• Strong understanding of Data Lake / modern data platform concepts.
• Understanding of Medallion Architecture (Bronze / Silver / Gold)
• Experience with permissions and access concepts
• Knowledge of continuous ingestion and continuous development practices
• Understanding of deployment processes and data quality practices
• Solution-oriented and structured approach to engineering challenges
• Strong communication skills and ability to work independently with stakeholders
• Experience working in agile projects, particularly Scrum
• Understanding of IT Service Management processes such as ITIL
• English allowing you to work effectively in an international environment

Responsibilities

• Design and develop scalable data solutions in Databricks
• Integrate data into an enterprise Data Lake using a Medallion Architecture
• Build and maintain data models supporting reporting
• Develop and orchestrate ETL/ELT processes and data pipelines
• Work with Python and SQL on data transformation and processing
• Support continuous data ingestion and development processes
• Contribute to permissions and access concepts
• Work within multi-tier deployment environments and Quality Gates
• Optimize data processes for better performance, efficiency, and quality
• Document architectural decisions, processes, and project outcomes
• Collaborate with stakeholders in an agile environment

Skills

Databricks

Python

SQL

Data modelling

ETL/ELT

Data pipelines

Agile / Scrum

English proficiency

Communication

Independent work

Tools

Jira

Confluence

Azure Databricks

Job description

Polcode, a Poland-based software house, is seeking a Data Engineer with strong Databricks experience to join a long-term energy-sector project. The cooperation runs until the end of 2027 with a possibility to extend, and focuses on building a modern data platform with emphasis on data quality and scalable processes.

You will design scalable data solutions in Databricks, build data models for reporting, develop ETL/ELT pipelines, and work with Python and SQL.