JOB   SUMMARY

Key Responsibilities

• Design, build, and support cloud ‑ native, event ‑ driven data platforms and APIs
• Develop and operate scalable data pipelines and storage solutions on AWS
• Build high ‑ quality, secure, and maintainable code with strong performance and reliability
• Optimise data pipelines, queries, and algorithms for scalability and cost efficiency
• Produce and review technical designs, documentation, and operational runbooks
• Engineer AI/ML ‑ ready datasets with strong data quality, lineage, and governance
• Enable MLOps practices such as reproducible pipelines, data versioning, and monitoring
• Apply responsible AI, privacy, and data governance controls in regulated environments
• Collaborate with delivery, product, architecture, security, and platform teams
• Participate in code reviews, uplift engineering standards, and mentor others
• Contribute to the strategic evolution of the data platform and engineering practices

What Do I Need? Technical Skills & Experience

• Strong hands ‑ on experience with PySpark and Java
• Extensive experience on AWS, including AWS Glue and DynamoDB
• Experience building event ‑ driven architectures (Kafka) and RESTful APIs
• Strong knowledge of data modelling, distributed data processing, and data quality
• Experience supporting ML/AI data lifecycles, including feature engineering and RAG concepts
• Solid understanding of CI/CD, DevOps practices, and SDLC principles

Domain Experience

• Proven experience delivering data solutions in banking, financial services, or regulated environments
• Strong understanding of data governance, privacy, resilience, and regulatory expectations
• Awareness of Responsible AI, model risk, and auditability requirements

Ways of Working

• Ownership ‑ driven, proactive, and delivery ‑ focused
• Collaborative team player who can influence without ego
• Comfortable challenging assumptions to improve outcomes
• Strong communicator able to explain complex concepts to technical and business stakeholders

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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