Senior Data Engineer
Posted on:
14 days ago
Vacancies:
1 Vacancy
Job Summary
Job Description
Exciting opportunity with a leading regional logistics and supply chain group building out their next-generation data platform to power AI and analytics at scale.
Role
- Architect and build scalable data pipelines using Apache Spark Kafka and Airflow
- Design and manage cloud-based data lakes and warehouses (Snowflake BigQuery or Databricks)
- Implement data quality frameworks governance policies and monitoring
- Collaborate with data scientists and analysts to ensure data is readily available for modelling
- Drive adoption of best practices in data modelling CI/CD and infrastructure-as-code
Requirements
- 5 years of data engineering experience with at least 2 years on big data technologies
- Strong command of SQL and Python; experience with dbt Spark or Flink
- Hands-on cloud experience: AWS GCP or Azure data services
- Familiarity with streaming data architectures (Kafka Kinesis)
- Excellent communication skills ability to work with both technical and business stakeholders
Interested applicants please submit your profile to for review. We will be in touch for initial discussion upon being shortlisted
EA Licence: 17S8795 EAP: R
Required Experience:
Senior IC