OM Bank - Data Engineer & Stream Lead

Let’s write Africa’s story together! Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this.

At OM Bank, we strive to attract great people who are passionate about coming together for a higher purpose—building something unique and aspirational, always aiming to be the best they can be. We are rooted in our purpose of inspiring and enabling our customers to grow and sustain their prosperity.

Develop data products & data warehouse solutions in on‑premises and cloud environments using cloud‑based services, platforms and technologies. Dynamic and results‑driven Lead Stream & Data Engineer with extensive experience in designing, developing, and deploying high‑performance, re‑usable streaming applications using Apache Kafka, Apache Flink and Java and batch processing pipelines using Python, Dbt and Apache Airflow.

Proven expertise in building scalable data pipelines and real‑time processing systems that enhance operational efficiency and drive business insights. Strong background in microservices architecture, cloud technologies, and agile methodologies.

Assist with clarification of technical requirements & implementation process with PO’s, assist data engineering team with product and architectural knowledge, drive good technical architecture, support and guidance of the tech team with resolution of PO tickets, support and implementation of technical strategy, ensure data is available to businesses in a secure, actionable and reliable way, raise the bar on data quality, data governance, reliability and engineering excellence, prepare the data sets that will ultimately deliver valuable insights to the business, enable the discovery and exploration by analysts, BI, data science and business users, and identify opportunities for improvements and put energy behind turning them into action.

• Assist with clarification of technical requirements & implementation process with PO’s
• Assist data engineering team with product and architectural knowledge
• Drive good technical architecture
• Support and guidance of the tech team with resolution of PO tickets
• Support and implementation of technical strategy
• Ensuring data is available to businesses in a secure, actionable and reliable way
• Raising the bar on data quality, data governance, reliability and engineering excellence
• Preparing the data sets that will ultimately deliver valuable insights to the business
• Enabling the discovery and exploration by analysts, BI, data science and business users
• Identifying opportunities for improvements and putting energy behind turning them into action

• Programming
  
  Languages:
  
  Proficient in Java (Java SE 8/11) and Python 3
• Streaming Technologies:
  Extensive experience with Apache Kafka, Kafka Streams, and Apache Flink
• Desirable skills:
  Decodable and K8’s, Confluent
• Frameworks:
  Deep knowledge of Spring Boot and Spring Cloud for microservices architectures
• Database Management:
  Skilled in integrating various databases (e.g., No
  
  SQL) with streaming applications
• Cloud Platforms:
  Hands‑on experience deploying applications on AWS (EC2, S3, RDS, Lambda)

• Participate in engineering and other discipline’s community of practice
• Technical leadership and mentorship
• Developing and monitoring data engineering standards and principles
• Lead technical delivery within teams and provide oversight of solutions
• Share AWS knowledge and practical experience with community
• Challenge and contribute to development of architectural principals and patterns

• Follow and participate in defined ways of work including sprint planning, backlog grooming, retrospectives, demos and PI planning

• Bachelor’s Degree in Computer Science or related fields like Information Systems, Big Data
• AWS Data Engineer Certification advantageous
• Related technical certifications
• At least 5–8 years’ experience designing and developing data pipelines for ingestion or transformation using AWS technologies
• Experience developing solutions in the cloud
• Experience in data warehouses and data marts
• Experience with Data Vault and dimensional modelling techniques
• Experience…