In the role of Senior Data Developer, you will take ownership of the technical execution of regulatory data products: designing, implementing, and maintaining the Java services, SQL-driven data flows, and integrations that deliver trusted data to regulators, auditors, and internal compliance stakeholders. You will work closely with compliance, product, operations, and engineering teams to translate regulatory requirements into robust, scalable, and well-tested software.
Department: Technology
Employment Type: Full Time
Location: Malta
Reporting To: Maximilian Micallef
Description
In the role of Senior Data Developer, you will take ownership of the technical execution of regulatory data products: designing, implementing, and maintaining the Java services, SQL-driven data flows, and integrations that deliver trusted data to regulators, auditors, and internal compliance stakeholders. You will work closely with compliance, product, operations, and engineering teams to translate regulatory requirements into robust, scalable, and well-tested software.
Key Responsibilities
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Java Development: Design, develop, and maintain Java-based services, microservices, and data processing components that power regulatory integrations and reporting outputs.
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SQL & Data Pipeline Development: Build and optimise complex SQL queries, stored procedures, and data transformations for regulatory datasets, ensuring accuracy, performance, and scalability.
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Regulatory Integration Design & Implementation: Design, develop, and maintain robust integrations between internal platforms and external regulators, ensuring data is delivered accurately and within required timelines.
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Automation & Optimization: Implement automation for regulatory reporting and validation processes to improve efficiency, reduce manual effort, and minimise operational risk.
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Monitoring & Troubleshooting: Monitor regulatory pipelines and services, proactively detect issues, and resolve data or processing discrepancies promptly to maintain reporting SLAs.
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Data Quality & Governance: Champion data quality, lineage, and governance practices across regulatory datasets, ensuring outputs are accurate, reproducible, and auditable.
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Collaboration & Stakeholder Engagement: Work closely with compliance, product, operations, and engineering teams to translate regulatory requirements into clear technical specifications and solutions.
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Documentation & Process Improvement: Document integrations, services, and operational procedures; contribute to process improvement initiatives and ensure adherence to best practices.
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Technical Support & Incident Resolution: Provide technical support during incident resolution relating to regulatory reporting pipelines and data discrepancies.
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Agile Participation: Actively participate in all agile scrum meetings such as daily standups, refinement sessions, and retrospectives.
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Innovation & Continuous Improvement: Propose and implement new ideas to improve existing products, processes, and tooling, fostering a culture of innovation within the team.
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Code Review & Mentorship: Perform code reviews for other engineers, mentor more junior team members, and actively promote knowledge sharing within the team.
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Stakeholder Communication: Effectively communicate with stakeholders across technical and non-technical audiences, ensuring that requirements, risks, and status updates are transmitted clearly and to the right people.
Requirements
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Bachelor's/Master's in Computer Science, Engineering, or a related field.
- 5+ years of hands-on experience in software or data development, with a strong focus on backend / data-intensive systems.
- Strong Java development skills, including experience building and maintaining production services and data processing components.
- Strong SQL skills and experience working with large structured and unstructured datasets, including query optimisation and performance tuning.
- Strong knowledge of Microservices and APIs.
- Solid understanding of data governance, compliance, and data quality assurance.
- Solution-oriented mindset with the ability to troubleshoot and resolve complex issues across the data stack.
Benefits
- Great career development opportunities
- Hybrid working model
- International Health Insurance
- Health and Wellbeing Package (350 EUR per year)
- Birthday Day Off
- Me Time - 1 day off per year