Your role:
Joining the Reporting product line, you would work as a member of a highly focused team. This team specialises in Java-based data engineering, designing and delivering large-scale ETL workflows on a lake house platform. You'll be working with modern big data technologies to move, transform, and optimise data for high-performance analytics and regulatory reporting. The environment encourages autonomy, problem-solving, and system-level thinking. If you're passionate about clean, well-tested, performant code and enjoy working on complex data pipelines at scale, you'll thrive here.
Tech stack:
Micro-services Container Platforms (Kubernetes, CRC, Docker)
Big Data Technologies (Apache.... Spark, Flink, HDFS, Airflow, Trino, Iceberg, Hive)
Dependency injection frameworks (Spring)
Observability (Loki/Grafana)
Large scale data processing (Kafka)
CI/CD Build tools ( Maven, Git, Jenkins )
NoSQL DBs (Cockroach DB, Cassandra, Zookeeper, ArangoDB)
Your responsibilities:
Design, implement and provide architectural guidance in deploying microservices as a part of an agile development team
Migrate existing services to microservices, with the goal of reducing complexity at the design and architecture level
Write unit and integration tests for your Java code
Collaborate with testers in development of functional test cases
Develop deployment systems for Java based systems
Collaborate with product owners on user story generation and refinement
Monitor and support the operation of production systems
Participate in knowledge sharing activities with colleagues
Pair programming and peer reviews
About you:
Required Experience:
Minimum 8 years of Java development experience in an Agile environment, building scalable applications and services
Experience with RESTful services
Passion for Test Driven Development
CI/CD
Attributes:
Good communication
Problem Solving
Self-starter
Team player
Company Benefits
Private pension
Bonus
Full medical cover
Dental care
flexi working
Free fruit
Snacks coffee etc.
25 days holiday
Life insurance
Interview Process
Initial
Technical
Cultural