Data Engineer
Job Watch SA
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
Tech stack
Agile Methodologies
Airflow
Data analysis
Apache HTTP Server
Google BigQuery
Information Engineering
Data Governance
ETL
Data Warehousing
DevOps
Python
Power BI
Software Engineering
SQL Databases
Google Cloud Platform
Data Ingestion
Information Technology
Looker Analytics
Software Version Control
Job description
- Within the Cartier Data Office, you will build business-ready data models, high-performance infrastructure, and large-scale reporting dashboards.
- Analytics Capabilities with Looker: You will configure and maintain Looker dashboards and explores, translating complex business questions into actionable insights. You will train "viewers" and "explorers" on how to get the most out of the platform.
- Data Modeling & Transformation: You will design and implement dbt models and dimensional data marts, applying software engineering best practices (version control, testing) to the analytics layer.
- Pipeline Engineering: You will build and maintain ETL/ELT pipelines using Airflow/Apache Composer, ensuring seamless data ingestion into BigQuery.
- Platform Operations: You will monitor data platform health, troubleshoot quality issues, and implement data governance and access controls.
- Documentation: You will maintain data definitions and lineage, ensuring Looker remains a "single source of truth" for the organization.
Requirements
- You have a Master's degree in Computer Science, Data Engineering, or a related scientific field and 3-5 years of experience in data engineering or analytics engineering.
- You have a strong proficiency in Looker (LookML) or PowerBI, and SQL/DBT. You know how to build sophisticated dashboards and the transformation layers that power them.
- You have a deep understanding of Google Cloud Platform (BigQuery) and are expert in SQL and Python.
- You have experience building pipelines with Airflow/Apache Composer.
- You like to work in a fast-paced environment, quickly delivering new features for demanding business users using an Agile/DevOps operating model.
