Data Engineer

About

Description

STADIO is seeking a Mid-Level Data Engineer to join our dynamic Continuous Improvement & Innovation team. In this role, you will play a key part in our continuous improvement lifecycle by developing the data infrastructure That powers data-driven decision making across the organisation. You will work closely with our Analytics Engineer To build and maintain robust data pipelines, a scalable data aggregation layer, and an efficient reporting Environment. This is an exciting opportunity for a data engineering professional with a passion for large datasets And modern cloud technologies to make a real impact in a collaborative, forward-thinking environment

Responsibilities

• Modern Data Stack Proficiency: Practical experience building data pipelines in a modern cloud Environment
• Familiarity with data lake architectures, SQL databases, and data integration tools on Azure (or similar platforms) is required
• SQL & Programming Skills: Advanced SQL skills for data querying and transformation
• Proficiency In at least one programming or scripting language (eg, Python, Dot NET) for data processing
• Data Modeling Knowledge: Solid understanding of data modeling techniques and designing scalable Schema for analytics
• Performance Tuning: Knowledge of optimising database and data pipeline performance (indexing, Partitioning, caching strategies)
• Expertise in Microsoft Data Technologies: Strong experience with Microsoft’s data stack, Especially Microsoft Fabric and its underlying components
• Proficiency in tools such as Azure Data Factory (for ETL/ELT pipelines) and Azure Synapse Analytics (for data warehousing and big data Processing) will be an advantage
• O Additional Cloud & Big Data Tools: Exposure to other cloud data services and tools (such as Azure Databricks, Azure Data Lake Storage, Power BI, or comparable tools on AWS/GCP) will be an Advantage
• Automation & Orchestration: Experience with workflow orchestration tools and CI/CD pipelines For data (eg, Azure Data Factory pipelines, Git integration, DevOps for data processes)

Qualifications

• Education & Experience:
• O Bachelor’s degree in Engineering, Information Systems, Computer Science, or a related field
• O 4+ years of hands-on experience in data engineering or a similar role, with a track record of working On large-scale datasets and building data aggregation layers

Application instructions:

• Applications: Candidates wishing to apply for the position are requested to submit the following documentation, Using Business Engineer as reference, to:
• humanresources@stadio.ac.za
• 1. A letter of application and motivation, concisely detailing individual suitability for the position.
• 2. A concise Curriculum Vitae with no attachments.
• All applications will be treated as highly confidential.
• This position will be filled following the STADIO employment equity plan.