Senior Data Engineer

Reporting to the General Manager of Finance & Administration the Senior Data Engineer will be responsible for:

• Assisting in the development and delivery of BIG4's data and analytics roadmap
• Reviewing and making recommendations in respect of the optimisation of BIG4's data architecture and processing systems
• Designing, building and maintaining ETL (extract, transform, load) processes to help extract and manipulate data from multiple sources, including the optimisation of existing ETL process and pipelines
• Automating data workflows such as data ingestion, aggregation, and ETL processing
• Preparing raw data in data warehouses into a consumable dataset for both technical and non-technical stakeholders (e.g. unified customer data models)
• Building, maintaining, and deploying data products for analytics and functional teams on cloud platforms (e.g. AWS, Azure)
• Partnering with the business analyst and functional leaders to develop and deploy machine learning models in production (e.g. ML model to predict loyalty customer churn and responsiveness to incentives)
• Assisting the marketing and digital teams in the configuration and maintenance of Google Analytics 4, Google Tag Manager, and other web analytics tools
• Assisting functional leaders in defining data quality tolerances for key data sources and models
• Ensuring data accuracy, integrity, privacy, security, and compliance through quality control procedures

As the successful applicant, you will ideally posses:

• Advanced SQL skills and experience with relational database management and design
• Strong proficiency in object-oriented programming languages, like Python
• Strong proficiency in cloud-based data warehousing, data pipelines, and workflow management tools (e.g. MS Fabric, Snowflake, Apache Spark, BigQuery)
• Working knowledge of cloud-based solutions (e.g. AWS, Azure)
• Strong proficiency in data governance practices, with a focus on data quality (within defined tolerances) and data security
• Experience developing data models for Power BI (using Power Query / M, DAX)
• Working knowledge of Google Tag Manager and Google Analytics 4 configuration
• Experience building and deploying machine learning models in production
• Excellent problem-solving skills
• Proven ability to work independently and with a team
• Strong project management and organizational skills