Description
We are seeking an Associate - Systems Engineer - Java - Data Platform - LME to join our Enterprise data team. The successful candidate will play a critical role in replacing our legacy ETL tool, focusing on pipeline management, analysis, and visualisation engineering.
The role involves working closely with ETL developers and technology teams to engineer solutions supporting their strategic roadmap. You will design, implement, and maintain robust data pipelines and infrastructure to support LME integration across data warehouses, ensuring reliability and scalability.
Key responsibilities include:
- Designing, implementing, and maintaining data pipelines and infrastructure
- Ensuring data quality and consistency through data cleaning, transformation, and validation processes
- Leading incident analysis and root cause investigations for data-related issues
- Evaluating possible solutions and designs to establish the best approach
- Implementing test or process automation, Test Driven Development, Continuous Integration, and Continuous Delivery
Requirements:
- Minimum 3 years of experience in software engineering, with involvement in at least one production-grade data system within financial services or a similarly regulated industry
- Proven ability to validate and govern data pipelines, ensuring data integrity, correctness, and compliance
- Hands-on experience with Java (Spring Boot), React (optional), and Python, covering backend, frontend, and data engineering
- Proficiency with modern data engineering and analytics platforms (e.g., Apache Airflow, Spark, Kafka, dbt, Snowflake)
- Experience with containerisation (Docker, Kubernetes), CI/CD pipelines, and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable
For more fresh new jobs, check out yubhub.co.