Engineering Manager

This position reports to the BI Manager.

Analytics engineers care about problems like:

  • Is it possible to build a single table that allows us to answer this entire set of business questions?
  • What is the clearest possible naming convention for tables in our warehouse?
  • What if I could be notified of a problem in the data before a business user finds a broken chart in Looker?
  • What do analysts or other business users need to understand about this table to be able to quickly use it?
  • How can I improve the quality of my data as it’s produced, rather than cleaning it downstream?
  • We are currently working towards building a completely new Real-Time Event-Driven Architecture for data processing and data warehousing using open-source and server-less technologies such as Debezium, BigQuery,
  • DataForm, Kafka, among others.
  • This new Lakehouse will serve as the central source of truth, which multiple internal users will have access to, to drive their daily/monthly/quarterly decisions.
  • Takealot is growing quickly, which brings a number of unique and interesting challenges. As such, data within the organization is also growing quickly. This brings a lot of opportunities for you to shape the tools, technologies, and culture around data in the company.

Your mission, should you choose to accept it:

  • Lead, execute and maintain the Business Intelligence/Analytics Engineering strategy that will fit into our Group Data Strategy
  • Architecting and implementing technical solutions to support scale and security initiatives
  • Mentoring and coaching of data best practices within the organization. Driving the adoption of these best practices to ensure data hygiene.
  • Defines standards and frameworks with regards to best practices in the Analytical Engineering, Business Intelligence and Software Engineering realm.
  • Define and implement standard development methodologies to ensure that the team is using best practices for coding, efficiency, version control, QA and release management.
  • Oversee operational support
  • Participates in the project management estimation process.
  • Manage backlogs and expectations with stakeholders.
  • Identifies and provides input to new technology opportunities that will have an impact on the enterprise wide
  • Business Intelligence systems.
  • Ensure team projects adhere to deadlines, and budgets.
  • Implementing features, technology, and processes that move us towards industry best practices, improving on scalability, efficiency, reliability, and security.
  • Designing, developing, testing, and maintaining BI and data architectures.
  • Preparing data for descriptive, predictive and prescriptive modeling.
  • Automating repetitive tasks and manual processes related with the data usage
    Optimizing data delivery.
  • Participate in the recruitment process, eventual mentorship and career path of employees.
  • Work closely with stakeholders and BI Analysts to turn data into critical information and knowledge that can be used to make sound business decisions.
  • Responsible for the full life-cycle development, implementation, production support, and performance tuning of the Enterprise Data Warehouse, Data Marts, and Business Intelligence Reporting environments.
  • Design and implement reporting and analytical solutions.
  • Analyses business and functional requirements and translates these requirements into robust, scalable, operable solutions.
  • Help to migrate the old QlikView and QlikSense models to our new Event-Driven Kappa architecture built on BigQuery, DataForm and Looker.
  • Ensuring that the data pipelines and general support infrastructure continue to run and operate in the most efficient manner.
  • Provide operational support, bug fixes, and performance enhancements.
  • Automating data extraction and report update processes.
  • Data validation and integrity testing.
  • Data cleansing and multidimensional data modeling.
  • Optimisation of data models.
  • Automation of Data model Generation and Quality Check
  • Data Dictionary Design and Implementation
  • Data Provenance and lineage tactics and implementation thereof
  • Leveraging best practices in continuous integration and delivery.
  • Collaborating with other engineers, ML experts, BI analysts and Data Engineers, and stakeholders to produce the most efficient and valuable solutions.
  • Contributing to our data democratization and literacy vision by making accessible and easy-to-use data products and tools.
  • Implementing features, technology, and processes that move us towards industry best practices, improving on scalability, efficiency, reliability, and security.

The skills we need:

  • Works well with people, and is passionate about helping people be their best
  • Is a team player, an active listener, mentor, and able to communicate well
  • Shows solid reasoning and decision making, with the ability to work under pressure
  • Is passionate about technology, systems and data
  • Is curious, always learning, and keeping up to date with the industry
  • Solutions-oriented, can-do attitude and high energy
  • Excellent problem-solving skills
  • Proven track record of delivering high-quality work, in a fast-paced environment
  • Focus on getting the job done, but have fun doing so
  • Taking ownership and displaying accountability in the work required of you
  • Have an interest in e-commerce, building a brand and business
  • Customer-centric

Qualifications & Experience:

  • Bachelor’s Degree or Advanced Diploma in Information Systems, Computer Science, Mathematics,
  • Engineering and a minimum of 5 years of relevant BI/Analytical Engineering experience in a software/technology environment is required.
  • In the event that a candidate does not have a Bachelor’s Degree or an Advanced Diploma (in Information
  • Systems, Computer Science, Mathematics, or Engineering), an equivalent experience requirement must be met, which equates to a minimum of 8 years of relevant Data Engineering experience in a software/technology environment.
  • Experience leading a team technically, with a focus on a very high quality output is required
  • Experience mentoring, coaching, and developing others technically
  • Experience working within an Agile team, and an advocate of that culture
  • Significant technical experience and a proven track record of data modeling and schema design
  • A thorough understanding of database and data warehousing principles (e.g. OLAP, Data Marts, Star Schema, Snowflake, etc.)
  • Write code (we use Java and Python)
  • A thorough understanding of computer science fundamentals, including object-oriented design, data structures and algorithms
  • A solid understanding of computer science fundamentals, including Linux and operating systems, networking
  • Minimum 5 years’ experience using a BI reporting tool (e.g. QlikView, Tableau, Microsoft B, Looker, etc.)
  • Experience using Looker, BigQuery and Dataform is advantageous
  • Minimum 5 years SQL experience
  • Have experience with Build Systems (Jenkins, Gitlab, Spinnaker)
  • Have experience with Google Cloud, or another cloud provider (architecture, operations)
  • High proficiency in working with large data sets and business models
  • Experience with Domain Driven Design (DDD) is advantageous
  • Retail or e-commerce industry experience beneficial

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