Senior Data Engineer

Helmes is looking for a Senior Data Engineer to join our team! We are looking for someone who wants to build new data domains, optimize query performance for heavy business usage, and automate deployment workflows – someone who takes ownership and truly cares about the data quality. 

You will work on a meaningful project with a forward-thinking organization that treats data as a core product, not just a byproduct of business. Join the community of talented professionals who make lasting contributions together and grow in a place that’s as invested in your success as you are. 

Challenges you'll tackle: 

• Designing and implementing scalable, evolvable data models in dbt to support business analysts and data scientists; 

• Building and maintaining complex ELT/ETL pipelines using Python and orchestrating them with Airflow (Cloud Composer); 

• Managing and fine-tuning BigQuery environments to ensure high performance and cost-efficiency; 

• Integrating various data sources (APIs, third-party systems) into a centralized GCP-native data lake/warehouse; 

• Ensuring data integrity and security by following engineering best practices and participating in code reviews.

Skills for success: 

• Strong experience with modular data modeling and testing using dbt; 

• Deep understanding of cloud data warehousing and SQL optimization; 

• Experience working with BigQuery and Snowflake; 

• Proficiency in writing clean, maintainable Python code for data processing; 

• Hands-on experience with DAG design and workflow orchestration; 

• Solid understanding of dimensional modelling principles; 

• Great English language skills. 

Nice to have: 

• Experience with Terraform; 

• Familiarity with GitLab CI/CD or GitHub Actions for data pipeline automation; 

• Experience with streaming or large-scale batch data processing.