Full-Stack Data Engineer

Responsibilities

• ● Design, build, and support scalable data pipelines, data products, and data applications that serve business and analytics needs.
• ● Apply software engineering best practices to data engineering, including modular design, version control, code review, automated testing, documentation, and maintainable architecture.
• ● Develop Python-based solutions for data processing, orchestration, integration, automation, and supporting application components where required.
• ● Own and improve DevOps/DataOps practices for data solutions, including CI/CD, environment promotion, release automation, observability, incident response, and production support.
• ● Deliver robust, cost-effective, and automated solutions to address recurring business questions and analytical demands.
• ● Design and implement data solutions aligned with enterprise standards, architecture roadmaps, and platform best practices, working closely with Data Architects and Solution Architects.
• ● Test and quality assure data and analytics solutions to ensure they are fit for release, including code assurance, unit testing, integration testing, data validation, performance tuning, and release management.
• ● Support operational excellence through proactive monitoring, root-cause analysis, issue resolution, and continuous improvement of SLAs and service reliability.
• ● Promote engineering consistency across the team by disseminating best practices, coaching peers, contributing reusable patterns, and helping improve standards, tooling, and ways of working.
• ● Evaluate and adopt new technologies relevant to data engineering, software engineering, and platform automation, including proof-of-value assessments and contribution to business cases.
• ● Contribute to estimates, delivery planning, and solution design for new data initiatives and enhancements.
• ● Ensure business data assets are delivered as trusted, discoverable, and reusable data products/services for broader enterprise consumption, in alignment with strategic data principles.
• ● Collaborate with other teams and stakeholders to achieve business objectives.