Data Scientist 5+ Years Exp | On-site | George, Western Cape
- Location
- George, Western Cape
- Minimum qualification
- Bachelor's degree
- Closing date
First listed . Last checked at source .
In brief
**Overview** This role at Badger Holdings is for an experienced Data Engineer to contribute to the modernization of their data platform in George, Western Cape. The company is transitioning from legacy systems to a cloud-native stack utilizing Estuary, dbt, Google Cloud Platform (GCP), and Snowflake. The successful candidate will work alongside analysts, data scientists, and business teams to develop reliable data pipelines, structure data models, and enhance data accessibility across the organization. This position offers the opportunity to influence architectural decisions, establish engineering practices, and mentor junior engineers within a growing data function. **What you will do** * Design and build scalable ELT pipelines to integrate data from various sources. * Develop and maintain data models using dbt. * Optimize Snowflake models and workloads for performance and cost efficiency. * Transform raw data into dependable datasets for reporting and advanced analytics. * Implement data quality checks, monitoring, and alerts to identify issues promptly. * Assist in planning and executing the migration from legacy systems to the new platform. * Apply sound engineering practices, including testing, CI/CD, and code reviews. * Collaborate with technical and business teams to understand requirements and deliver practical solutions. * Contribute to documentation and engineering standards, and support the development of junior engineers. **Requirements (from the original advert)** * A relevant tertiary qualification: a diploma or bachelor’s degree in Computer Science, Information Technology, Information Systems, Data Engineering or a closely related field. * At least four years’ experience in data engineering or a similar role. * Strong SQL skills, including experience with complex transformations and query optimisation. * Proficiency in Python or a similar language for data processing and automation. * Experience building ELT pipelines in a cloud environment such as AWS, Azure or GCP. * Hands-on experience with a modern data warehouse such as Snowflake or Azure Synapse. * Experience using data transformation or orchestration tools such as dbt, Airflow or Dagster. * Experience working with structured and semi-structured data, including JSON and Parquet. * A sound understanding of data governance, security and data quality practices. * Comfortable taking responsibility for your work, explaining technical decisions and working through problems with people across the business. * *Useful experience includes:* * Estuary or other data integration and change data capture tools. * Streaming technologies such as Kafka or Spark Streaming. * BI tools such as Qlik, Power BI, Looker or Tableau. * Qlik Replicate, Qlik Compose or similar tools. * Agile delivery using Jira or Azure DevOps. * DevOps practices or relevant cloud, Snowflake or dbt certifications. **Who should apply** This role is suitable for an experienced Data Engineer who enjoys detailed problem-solving and seeing their work implemented. The ideal candidate is comfortable taking ownership of their tasks, clearly articulating technical decisions, and collaborating with diverse teams across the business. It targets individuals who are keen to contribute to architectural decisions, establish working practices, and mentor junior engineers within a growing data function. **Deadline** Not specified **Reference** Original posting: https://www.myjobmag.co.za/job/data-engineer-on-site-george-western-cape-badger-holdings-pty-ltd-3 Source: myjobmag
Summary drafted with AI assistance from the original advert. The advert itself is the authority — how we use AI.
At a glance
- At least 5 years of experience.
- Python
- SQL
- Power BI
- Tableau
Extracted automatically from the advert; confirm requirements on the original listing.
Job description
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