Data Engineer / Engineerka (AWS)

Sorigo is an IT company with over a decade of experience delivering innovative solutions for large clients, focusing on systems based on Microservices, Big Data, and Cloud.

• Minimum 5 years of experience as an Analytics Engineer, Data Engineer, or Data Ops.
• Strong knowledge of SQL and experience working with dbt including dbt models and dbt Cloud (dbt Studio).
• Experience with Amazon Redshift.
• Experience working with AWS Glue, S3, and Iceberg.
• Knowledge of Apache Airflow and data pipeline orchestration.
• Experience with Git / GitLab and CI/CD.
• Ability to analyze and solve production incidents (RCA).
• Experience in data validation and reconciliation.
• Proficient in Python.
• Fluent communication in English.

Nice to have:

• Experience working in AWS data platform or data warehouse environments.
• Experience with data modeling and designing reporting layers.
• Knowledge of Tableau for data validation.

• Work on Data Ops and Analytics Engineering projects involving end-to-end data pipeline development.
• Develop and maintain solutions based on dbt, Redshift, AWS Glue, PySpark, S3, and Airflow.
• Analyze and resolve production incidents.
• Validate data and implement improvements.
• Collaborate with analysts, business, and technical teams in an international environment.

Applicants must include in their CV a clause consenting to personal data processing according to the GDPR and Polish data protection law. Data is processed for recruitment purposes by Sorigo Sp. z o.o. based in Warsaw. Data subject rights, legal basis, and data recipients are stated as per legal requirements.