Join the Team Reinventing the Brick & Mortar Shopping Experience at IOB

Imagine working at a company where you experience the best of both worlds: the fast-paced execution of a startup paired with the guidance of leaders who have built successful scalable solutions. Led by veteran innovator Hannes van Rensburg, we are not just rethinking the evolution of physical retail—we are redefining it.

At The Internet of Behaviors Company (IOB), we envision a future where physical shopping becomes an enjoyable social and retail experience once again. Customers will receive curated offerings, guaranteed selections, and delightful interactions. Our goal is to connect physical storefronts with customers in a way that rivals the convenience of online shopping. We’re looking for great teammates to help us shape the future of connected retail, and we invite you to join us.

We believe that physical retail is NOT dead; rather, it has yet to evolve alongside today’s modern customers. Many shoppers are migrating to online platforms because physical retail has fallen short in convenience, selection, pricing, and enjoyment. Shopping used to be a pleasurable pastime, and IOB is committed to bringing back that enjoyment. We need your expertise to make it happen. You will be part of a skilled team that is fundamentally reshaping physical retail, which still accounts for 80% of the overall industry. Together, we will invent a new standard for customer experience, personalized service, and ultimately, a delightful way to shop.

You will work alongside some of the brightest minds in technology, develop cutting-edge software and hardware solutions, and be empowered to tackle challenging problems that will stretch your skills and enhance your thinking. If you’re ready to join us in building the future of connected retail, we want to hear from you.

About the Team & Role

At IOB, our mission is supported by a data ecosystem that drives informed decision-making and innovation. The Data Team is a critical part of this mission, enabling advanced analytics, machine learning, and actionable insights to shape business strategy and outcomes. This team – comprising data engineers, data scientists, and data analysts – works collaboratively to transform raw data into impactful solutions, ensuring scalability, reliability, and actionable insights.

As a Senior Data Engineer, you will take a leading role in designing, implementing, and optimising our data infrastructure to support the organisation’s strategic goals. You will be responsible for building scalable, high-performance data pipelines and driving best practices in data engineering. In this role, you will mentor junior team members, contribute to architectural decisions, and ensure the delivery of robust data solutions that empower data scientists and data analysts to generate insights. You will also play a key role in defining the future of our data platforms, leveraging advanced technologies to streamline data processing and enable business growth.

If you are passionate about solving complex data challenges, driving innovation, and shaping the backbone of a data-driven organization, we want you on our team!

Key Responsibilities

• Lead the design and implementation of scalable and secure data architectures to support analytics and machine learning initiatives.
• Develop and optimise complex, high-volume data pipelines and databases to process structured and unstructured data in real time or batch.
• Ensure data pipelines and databases are optimised for performance, security, availability, and scalability.
• Work closely with data scientists and data analysts to ensure they have access to the right data and that data is formatted for their analysis needs.
• Develop and enforce standards and best practices for data quality, documentation, quality control, security, and compliance across all data processes.
• Evaluate and implement new tools, technologies, and frameworks to improve data systems and processes.
• Serve as a technical leader, coach and mentor for junior team members and adjacent data and engineering teams.
• Lead end-to-end data engineering projects that support strategic goals. This includes requirements gathering, technical deliverable planning, output quality control and stakeholder management.
• Contribute to the development of the IOB data strategy.

Requirements

• A Bachelor’s degree in Computer Science, Engineering, or a related field. Advanced degrees are a plus.
• 5+ years (preferred 8+ years) of proven experience as a Data Engineer or in a similar technical role, with a strong track record of building scalable solutions.
• Expertise in programming languages such as Python, Java, or Scala.
• Advanced proficiency with SQL and database optimization techniques.
• Experience with data warehousing solutions (e.g. Databricks, Snowflake, Redshift, BigQuery, Synapse).
• Experience with distributed systems and big data technologies like Hadoop, Spark, Flink, or similar.
• Strong knowledge of cloud-based data platforms and their services (e.g. AWS, Azure, GCP).
• Experience with ETL tools and frameworks (e.g. Apache Kafka, Apache Airflow, Apache Spark etc.).
• Experience in designing and implementing data architectures that support large-scale data processing.
• Ability to work effectively with cross-functional teams, including data scientists, analysts, and business stakeholders.
• Experience leading and mentoring junior data engineers and other team members
• Experience contributing to and shaping internal data science standards and best practices.
• Strong problem-solving and critical thinking skills, with the ability to identify and resolve issues in data pipelines or infrastructure.
• Strong interpersonal skills, with the ability to communicate effectively across technical and non-technical teams.
• An innovative, collaborative mindset with excellent communication skills to work across teams.

Bonus Points & Other Considerations

• Experience working in the retail or consumer analytics industry.
• Familiarity with embedded and edge compute platforms. 
• Knowledge of data security best practices and compliance requirements (e.g. GDPR, SOC2).
• Knowledge of how to integrate machine learning models into data pipelines or data architectures.
• Experience with DevOps practices and tools, including containerization (e.g. Docker) and infrastructure-as-code (e.g. Terraform).
• Relevant certifications in cloud platforms or data engineering (e.g. Google Professional Data Engineer, AWS Certified Big Data – Specialty, Microsoft Certified Azure Data Engineer).

If you’re ready to join a company that’s on a mission to make today’s physical retail experience more convenient, affordable, and enjoyable—then we want to hear from you! Apply today and let’s build this together.

The Internet of Behaviors Company, Inc. considers all qualified applicants for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.