Data Engineer (Databricks) | Enterprise Energy Data Platform

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

Who we are

Polcode is a Poland-based software house working with clients worldwide since 2006. We build web, mobile, and eCommerce products for startups and well-established companies across Europe, the US, and beyond.

The role

We’re currently looking for a Data Engineer with strong Databricks experience to join a long-term project in the energy sector. The cooperation is planned until the end of 2027, with an option to extend.

The project focuses on developing and continuously improving a modern data platform, with particular attention to data quality, scalable data processes, and providing reliable data for reporting.

Key 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

Requirements

• 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 layered data models such as 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

Nice to have

• Experience with Microsoft Azure in a Databricks / Data Engineering environment
• Experience with Spark or PySpark
• Experience with streaming, CDC, Auto Loader, Structured Streaming, or similar continuous ingestion approaches
• Experience with Machine Learning or LLM solutions in Databricks
• Experience with Jira and Confluence
• Good German language skills

Recruitment process

• People Interview – short call to talk about your experience and expectations
• Technical Interview – discussion focused on your experienced and skills
• Final Interview – final conversation with the client team

What we offer

• B2B: 110–150 PLN netto + VAT
• Multisport card, private medical care, life insurance, and meaningful gifts to celebrate important days
• All the necessary equipment for comfortable work
• Professional onboarding process
• We respect your private life - no overtime, no weekend jobs, work-life balance only, promise!
• Work at times that suit your daily rhythm, from the place of your choice
• Your work is appreciated - we believe in the power of feedback, as well as the one you give us.