Careers

Senior Data Engineer

Reporting to the Senior Data Engineering Manager, the successful candidate will be responsible for developing and optimising the Bank’s data flow and collection. The selected candidate will collaborate with stakeholders at all levels, including Business, Operations, and Technology team members, and will have a high interest in keeping up with the latest industry best practices.

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Malta * Full-time

Duties and responsibilities

Designing, developing, testing, and supporting data collection and data integration with batched ETL and Real-time data processing
Using analytical and statistical approaches in building data sets and driving business decisions
Writing scalable code for managing Batch and Real-time data processing, making use of onsite/cloud tools and storage
Improving existing batch-based ETLs, possibly integrating them in real-time data transformations
Assisting in maintaining the existing infrastructure and its migration
Maintaining records and documentation as evolutions/revisions occur
Building analytical tools that utilise the data pipeline, to provide actionable insights into key customer business performance metrics

Required knowledge, skills and experience

Experience in designing and implementing data streaming solutions involving Kafka, NiFi, Airflow, and Talend technologies
Strong analytical and troubleshooting skills working in a Linux environment
Building intuitive and scalable data models on Snowflake platform
Strong SQL scripting capabilities
Experience with Linux based scripting tools such as shell and bash, and programming languages like Java and Python
Being familiar with data structures such as JSON, XML, and CSV
Designing and building data pipelines for both batch and real-time data processing
Conducting research and development on technologies to assist the data platform transformation
Excellent written and verbal communication skills in English