Engineer | Senior Engineer - Data Engineering
About the role
Acentura is seeking talented Data Engineers to design, build, and maintain scalable cloud-native data pipelines for one of the world's largest food distribution corporations. The role involves developing distributed, highly available data processing applications on GCP, owning solutions end-to-end from development to deployment and support, and working in Scrum teams following CI/CD and DevOps best practices. Candidates should have experience in Python, SQL, and GCP, with relevant ETL/ELT tools, and senior engineers are expected to lead pipeline design and mentor others. The company offers career growth, innovative projects, a supportive team culture, and global project exposure.
Must have
- Degree in Computer Science or a related field, or an equivalent qualification.
- 1–2 years (Engineer) or 3+ years (Senior Engineer) in enterprise data processing.
- Strong Python, Shell and SQL, with ETL/ELT tools such as Airflow, Dataflow or Spark.
- Hands-on GCP experience with BigQuery, Pub/Sub, Cloud Functions and Cloud Run.
- Senior Engineers should be able to lead pipeline design and mentor engineers.
Technologies
- Airflow
- Bash
- BigQuery
- CI/CD
- Data Engineering
- Data Pipelines
- DevOps
- ELT
- ETL
- GCP
- Python
- Scrum
- Spark
- SQL
Highlights
Applicants should send their CV to careers@acentura.com. The position offers career growth, innovative projects, supportive team culture, and global project exposure. No information about remote work or specific location requirements is provided.