ROLE OVERVIEW
We are looking for a highly skilled and motivated Data Engineer to join our technology team. In this role, you will play a key part in designing, building, and maintaining scalable data infrastructure that powers data-driven products across the organisation. You will collaborate closely with cross-functional teams in a dynamic Agile environment and contribute to delivering high-quality, compliant data solutions.
KEY RESPONSIBILITIES
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Deliver data-driven product features by working closely with developers, product owners, and business stakeholders.
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Manage backlog items and own the full lifecycle of data changes — design, development, delivery, and support.
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Ensure data structures and database designs meet application, scalability, and architectural standards.
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Build and maintain ETL pipelines for both OLAP and OLTP systems.
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Drive build and release activities for data solutions and maintain related architecture artefacts.
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Continuously improve and optimise data models and warehouse structures for performance and reliability.
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Collaborate with product owners, architects, business analysts, and scrum teams to deliver changes on schedule.
TECHNICAL SKILLS & KNOWLEDGE
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Strong hands-on proficiency in SQL and Python.
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Strong hands-on experience with Snowflake (must-have) — including physical data modelling, DB design, CDC, and performance tuning.
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Strong hands-on experience with AWS cloud services (EKS, EC2, S3, RDS, Lambda, API Gateway, ECS, VPC, IAM, CloudWatch) and cloud architecture best practices.
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Experience with Matillion preferred.
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Hands-on experience with CI/CD tools and automation.
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Experience designing, developing, and deploying REST APIs.
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Experience designing and deploying applications using OLTP and OLAP systems.
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Exposure to financial services, compliance, or regulated data environments.
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Familiarity with data governance, lineage, and auditability concepts.
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Experience working across onsite/offshore teams.
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Strong team player with a willingness to learn new technologies.
EXPERIENCE REQUIREMENTS
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8+ years of hands-on experience with databases and ETL tools.
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End-to-end ETL experience covering documentation, development, testing, and production deployment (must-have).
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Strong relational database background with advanced SQL skills and query optimisation experience.
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Demonstrated proficiency in automation and continuous delivery methodologies.
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Proven experience across all phases of the SDLC in an Agile environment.
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Track record of delivering data solutions in regulated or compliance-driven industries (financial services preferred).
