Data Engineer z GCP (f/m/x)
Indexed description
Your tasks
- Designing, implementing, and maintaining scalable data pipelines based on Google Cloud Platform
- Working with BigQuery as the main data warehouse: data modeling, query and cost optimization, ensuring performance and reliability of solutions
- Integrating data from various sources (files, databases, APIs, events) and processing and transforming it
- Orchestrating data workflows using Apache Airflow / Cloud Composer
- Creating and maintaining CI/CD solutions for data pipelines and infrastructure
- Managing cloud infrastructure following Infrastructure as Code principles (Terraform)
- Ensuring data quality, pipeline monitoring, and rapid incident response
- Collaborating with analytics, BI, and product teams to deliver stable and well-documented data
- Participating in data architecture development and jointly defining good data engineering practices
- Min. 4 years of experience as a Data Engineer or in a similar role working with data in a production environment
- Strong knowledge of Google Cloud Platform, especially BigQuery (data modeling, query optimization) and Cloud Storage
- Ability to design, build, and maintain data pipelines (batch and/or streaming)
- Strong SQL and Python skills in the context of data processing and orchestration
- Experience with workflow orchestration (Apache Airflow / Cloud Composer)
- Hands-on experience implementing CI/CD for data solutions, e.g., GitHub Actions, GitLab CI, Cloud Build
- Familiarity with Infrastructure as Code approach, particularly Terraform
- Previous work with large data volumes, focusing on performance and reliability of solutions
- Fluent communication in English
- Required presence in Poland and fluent Polish language skills
- Practical experience with streaming data processing (e.g., Dataflow / Apache Beam, Pub/Sub)
- Proficiency in Apache Spark / PySpark when working with large data volumes
- Skills in data transformation and modeling using tools like dbt
- Ability to work with diverse data platforms (e.g., Databricks, Snowflake, MS Fabric)
- Familiarity with tools and best practices in Data Governance, Data Lineage, and Data Quality
Sii ensures that all hiring decisions are made solely on the basis of qualifications and competence. We are committed to equal and fair treatment of all, regardless of legally protected characteristics. At Sii, we promote a diverse and inclusive work environment, in full compliance with applicable anti-discrimination laws.
Benefits For You
- Great Place to Work
- Solid financial situation
- Contracts with the biggest brands
- Centre of internal trainings
- Many experts you can learn from
- Open and accessible management team
- Profit sharing
- Passion Sponsorship program
- Regular integration events and trips
- Comfortable and well-equipped offices
- MySii app
- Medical care
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