Principal Data Engineer with GCP
GFT Technologies SE Poznan, Greater Poland Voivodeship, Poland · PLN 270K–PLN 414K/yr
IT Services and IT Consulting · 10,001+ employees
About the role
You will design and optimize modern data platform architectures while collaborating with business stakeholders to define data strategies. Your role involves implementing data processing frameworks and driving best practices in data quality and governance.
What they look for
Requirements
Candidates must have at least 8 years of commercial experience in data engineering or architecture roles. Strong expertise in Python, SQL, Spark, and cloud-based data engineering tools, particularly within GCP, is required.
Benefits
Full description
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
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