OM Bank - Data Engineer & Stream Lead

Description

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.

KEY RESULT AREAS

Operational Delivery

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

Technical Skills

Programming

Languages:

Proficient in Java (Java SE 8/11), with a solid understanding of object-oriented programming principles and Python 3

Streaming Technologies: Extensive experience with Apache Kafka, including Kafka Streams API for real-time data processing, producer/consumer development, and stream management and expertise in Apache Flink.

Desirable skills
:
Decodable and K8’s, Confluent.

Frameworks: Deep knowledge of Spring Boot for building RESTful services and microservices architectures; adept at using Spring Cloud for distributed systems.

Database Management: Skilled in integrating various databases (e.g., No

SQL ) with streaming applications to ensure efficient data storage and retrieval.

Cloud Platforms: Hands-on experience deploying applications on AWS, utilizing services such as EC2, S3, RDS, and Lambda for serverless architectures.

Technical Leadership

Participate in the engineering and other discipline’s community of practice

Technical leadership and mentorship

Developing and monitoring of 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

Delivery Management

Follow and participate in defined ways of work including, but not limited to, sprint planning,

backlog grooming, retrospectives, demos and PI planning

ROLE REQUIREMENT

Bachelor’s Degree in Computer Science or similar fields like Information Systems, Big Data, etc.

AWS Data Engineer Certification would be advantageous

Related Technical certifications

At least 5 - 8 years' experience with designing and developing Data Pipelines for Data Ingestion or Transformation using AWS technologies

Experience of developing solutions in the cloud

Experience in developing data warehouses and data marts

Experience in Data Vault and Dimensional modelling techniques

Experience working in a high availability Data Ops environment

Proficiency in AWS services related to data engineering, such as AWS Glue, Athena, and EMR. Strong programming skills in languages like Python and Java.

Overseeing the implementation of CI/CD pipelines

Github

Designing and implementation of scalable streaming architectures using technologies such as Apache Kafka, Apache Flink, or AWS Kinesis to handle real-time data ingestion and processing.

Orchestration with Apache Airflow

Dbt core

Skills

Action Planning, Cloud Computing, Cloud Infrastructure Management, Computer Network Security, Current State Assessment, Database Queries, Data Classification, Data Compilation, Data Compression, Data Encoding, Data Modeling, IT Architecture, IT Network Security, Test Case Management, Wireless Network Management

Competencies

Balances Stakeholders Business Insight Courage Cultivates  Innovation Drives Results Ensures Accountability Manages Complexity Optimizes Work Processes

Education

Bachelors Degree (B)

Closing Date

23 February 2026 , 23:59