Senior GCP Data Engineer – BigQuery & Data Pipelines

Krakow-based opportunity with a hybrid work model of up to 3 remote days per week.

As a Senior GCP Data Engineer, you will work on a large-scale data integration initiative for a financial-services client. You will design and deploy scalable data pipelines and models using Google Cloud Platform technologies, supporting users across the organization.

Your main responsibilities

• Design, develop, test, and deploy Google Cloud data models and transformations in BigQuery using SQL, stored procedures, indexes, clusters, and partitions.
• Create and manage ETL/ELT data pipelines, transforming raw and unstructured data into Data Vault universal models.
• Review and interpret complex business and technical requirements to deliver compliant, secure, and scalable data solutions.
• Monitor data pipelines and optimize performance for large data volumes, resolving failures and performance issues efficiently.
• Integrate data from multiple sources, ensuring high data quality and consistency.
• Manage code artifacts and implement CI/CD processes using Git, Jenkins, and Google Secrets Manager.
• Collaborate in an Agile environment, practicing DataOps methodologies to ensure continuous improvement.

You’re ideal for this role if you have

• At least 3 years of hands-on experience with SQL querying and optimization, specifically in BigQuery.
• Proven expertise in building and maintaining ETL/ELT pipelines in GCP, especially with Data Fusion.
• Demonstrable experience with Data Vault modelling and data integration techniques.
• Hands-on experience with Cloud Composer/Airflow, Cloud Run, and Pub/Sub.
• Proficiency in Python and Terraform scripting.
• Experience with Git, CI/CD processes, and tools such as Jenkins or Ansible.
• Familiarity with DataOps practices and working within Agile teams.
• Strong problem-solving, organizational, and multitasking skills.

It is a strong plus if you have

• Experience designing data ingestion pipelines with Data Fusion, CDAP, or similar tools handling CSV, JSON, XML, or API integrations.
• Java development skills, including custom plugin deployment for Data Fusion.
• Knowledge of modern data contract standards and best practices.

Language required for the role

• English — communicative level, written and spoken.

Eligibility to work on this role

• Only candidates with an existing legal right to work in the European Union will be considered.