Senior Data Engineer | B2B Cooperation

Profitroom; Poland; On-site; PLN 257,000 - 301,000; Full time

Benefits offered by this job

B2B cooperation

International projects

Flexible collaboration setup

Job summary

Profitroom is seeking a Senior Data Engineer with Databricks expertise to join the Data Team. You will own data platform development and drive data-driven decision making across product, support, and strategy.

You will build ELT pipelines, optimize Delta Lakehouse, and ensure data governance. Collaboration, mentoring, and shaping data projects are key parts of the role.

Qualifications

• Databricks and data processing expertise.
• 3+ years Python and SQL experience.
• API data fetching experience.
• Cloud environment hands-on.
• Production-grade deployment experience.
• Familiarity with Docker, CI/CD, and Bash.
• Excellent communication and teamwork skills.
• Fluent Polish (C1+) and English (B2+)

Responsibilities

• Build a cloud-based platform for reporting and internal data systems.
• Develop incremental ELT pipelines using Python and PySpark.
• Improve Delta Lakehouse for efficiency and data quality.
• Work on data lineage, catalogue and governance.
• Enforce testing, CI/CD, and documentation best practices.
• Mentor fellow Data Engineers and collaborate across data roles.
• Develop standard methodologies and processes for data projects.

Skills

Databricks

Python

SQL

APIs

Cloud platforms

Docker

CI/CD

Bash

Communication

Teamwork

Polish (C1+)

English (B2+)

Tools

Spark

Terraform

Job description

Are you a Databricks expert? We are looking for a skilled Senior Data Engineer with strong Python and Databricks experience to join our Data Team and play a key role in driving our company toward a more data-driven future.

The role

Your work will have a direct impact on product development, customer support processes, and overall business strategy. If you’re eager to take ownership, thrive on using data to make decisions, and want to contribute to shaping a data-driven organization, this role is an excellent opportunity for you!

What you'll actually do

• Build a cloud-based platform that will be the foundation for our reporting suite and internal data systems.
  
• Develop incremental ELT pipelines using Python and PySpark.
  
• Continually improve Delta Lakehouse for high efficiency, throughput, and quality of data.
  
• Work on data lineage, catalogue, and governance.
  
• Ensure good engineering and programming practices among the whole team by enforcing: testing, CI/CD, development environment, code reviews, monitoring, and documentation.
  
• Cooperate with Data Engineers and other data-related roles and provide engineering mentorship.
  
• Develop standard methodologies and lay out processes for data projects.
  

What we're looking for

• Databricks & Data processing — Strong working knowledge of Databricks and hands-on experience with processing tabular data (e.g., PySpark, Pandas, Polars).
  
• Experience — 3+ years of commercial experience with Python and SQL.
  
• API integration — Experience with fetching data from various APIs.
  
• Cloud platforms — Hands-on work in a cloud environment.
  
• Deployment — Proficiency with deploying production-grade applications.
  
• DevOps tools — Familiarity with Docker, CI/CD, and Bash.
  
• Communication — Very good communication skills with the ability to work with both technical and non-technical stakeholders.
  
• Teamwork — Excellent team player who embraces teamwork and mutual support.
  
• Languages — Fluency in Polish (C1+) and strong command of English (B2+) required.
  

Nice to have

• Background — Previous experience in a Data Engineering or Software Engineering role.
  
• Database management — Experience working with or managing databases / data warehouses.
  
• Spark — Commercial experience with Spark.
  
• Infrastructure as Code — Understanding of Terraform.
  

What comes with the job

Contract terms:B2B cooperation.Monthly compensation range: 23,000–27,000 PLN net, depending on experience and the agreed scope of services.

• International technology and product projects
  
• Flexible project collaboration setup
  
• Planned service breaks aligned with contract terms
  
• Opportunity to collaborate with experienced product and technology teams
  
• Opportunity to access selected knowledge-sharing initiatives
  
• Intro call with the Recruiter (up to 45 minutes).
  
• Technical interview with Hiring Manager and Data Engineer (up to 60 minutes).
  
• Team fit interview with Hiring Manager and Data Analyst (up to 60 minutes).