Senior Data Engineer (GCP)

DOU Polska; Warszawa; On-site; PLN 180,000 - 260,000; Full time

Job summary

DOU Polska is seeking an experienced Senior Data Engineer to join our expanding Data Engineering and Analytics team in Warsaw. You will design and implement advanced data solutions with a strong emphasis on Google Cloud Platform and modern data technologies.

You will manage the full data lifecycle—from architecture and modeling to pipeline development, data platforms, analytics, and deployment—collaborating with stakeholders to deliver scalable data products.

Qualifications

• Minimum 5 years of experience as a Data Engineer.
• Hands-on experience developing data solutions on GCP.
• Strong SQL and Python development skills.
• Experience with cloud-based Data Warehouses and Lakehouses.
• Experience with ETL/ELT tools such as dbt, Dataform, or similar.
• Fluent in English.

Responsibilities

• Design and develop scalable data solutions on GCP.
• Lead the technical design and implementation of customer data projects.
• Translate business requirements into effective data architectures.
• Build and maintain ETL/ELT pipelines, Data Lakes, Lakehouses, and cloud-based Data Warehouses.
• Design data models and integration processes for Batch and real-time workloads.
• Handle structured, semi-structured, and unstructured data.
• Choose technologies based on performance, security, cost.
• Implement data quality, monitoring, governance, and orchestration.
• Collaborate with Data Architects, Engineers, DevOps, analysts, and stakeholders.
• Contribute to analytics, AI, and ML initiatives where relevant.

Skills

Python development

SQL proficiency

English fluency

Analytical mindset

Independent learner

Tools

Google Cloud Platform (GCP)

dbt

Dataform

Rivery

Looker

Power BI

Tableau

QuickSight

Job description

We are looking for an experienced Senior Data Engineer to join a growing Data Engineering and Analytics department. In this role, you will design and develop advanced data solutions for complex customer environments, with a strong focus on Google Cloud Platform and modern GCP data technologies.
You will work across the full data lifecycle- from architecture and data modeling to pipeline development, data platforms, analytics, and production deployment.

Key Responsibilities

• Design and develop scalable data solutions on GCP.
• Lead the technical design and implementation of customer data projects.
• Understand business and technical requirements and translate them into effective data architectures.
• Build and maintain ETL/ELT pipelines, Data Lakes, Lakehouses, and cloud-based Data Warehouses.
• Design data models and integration processes for Batch and real-time workloads.
• Work with structured, semi-structured, and unstructured data.
• Select the appropriate technologies based on performance, scalability, security, and cost requirements.
• Implement data quality, monitoring, governance, and orchestration processes.
• Work closely with Data Architects, Data Engineers, DevOps teams, analysts, and customer stakeholders.
• Participate in the development of analytics, AI, and ML solutions where relevant.
  

Requirements

• At least 5 years of professional experience as a Data Engineer – mandatory.
• Proven hands-on experience developing data solutions on GCP – mandatory.
• Experience with data visualization tools such as Looker, Power BI, Tableau, or QuickSight.
• Experience with data modeling, orchestration, performance optimization, and large-scale data processing.
• Strong Python development skills, including building data pipelines and ETL/ELT processes.
• High proficiency in SQL – mandatory.
• Experience designing and developing cloud-based Data Warehouses and Lakehouse solutions.
• Experience with ETL/ELT and transformation tools such as dbt, Dataform, Rivery, or similar platforms.
• Familiarity with CI/CD, Git, Infrastructure as Code, and production deployment practices.
• Strong analytical and problem-solving skills with excellent attention to detail.
• Ability to learn new technologies independently and work across multiple projects.
• Strong experience with several of the following GCP services: BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Composer, Cloud Run or Cloud Functions.
• Fluency in English.