Principal Data Engineer
Job Summary
Type of contract: Employment contract
Salary range: 22500 - 34500 PLN gross
What will you do
Join a team focused on designing and delivering modern data platforms and architectures that support advanced analytics reporting and data-driven decision-making. You will work closely with business stakeholders and engineering teams to define data strategies shape architectural solutions and ensure high standards of data quality scalability and performance across cloud-based environments.
Your tasks
- Design and optimize data platform architecture
- Design and implement data processing frameworks templates and solutions
- Collaborate closely with business stakeholders and engineering teams
- Review refine and translate business requirements into architectural decisions
- Drive data quality metadata management and governance best practices
- Support the adoption of modern cloud-based data engineering solutions
Your skills
- At least 8 years of commercial experience as a Data Engineer Lead Data Engineer or Data Architect
- Strong expertise in SQL
- Strong expertise in Python
- Strong expertise in Spark or PySpark
- Experience in data architecture data quality metadata management analytics and reporting
- Strong experience with cloud data engineering tools preferably within GCP
- Experience designing data architectures on Databricks and/or Snowflake platforms
- Experience with modern data engineering toolsets
Nice to have
- Experience with BI tools such as Power BI Qlik or Apache Superset
- Experience in consulting environments
- Experience in Data Science
We offer
- Hybrid work in one of our locations: Lodz Poznan Krakow Warsaw Wroclaw (2 office days per week)
- Working in a highly experienced and dedicated team
- Benefit package tailored to your needs (medical sport lunch subsidy life insurance etc.)
- Online training and certifications
- Access to e-learning platform
- Work From Anywhere (up to 140 days/year abroad)
- Social events
Required Experience:
Staff IC
About Company
We see opportunity in technology. In domains such as cloud, AI, mainframe modernisation, DLT and IoT, we blend established practice with new thinking to help our clients stay ahead.