[Perm] Data Engineer (Azure DevOps)

Data Management & Transformation • Design, develop, and maintain scalable data pipelines integrating data from a variety of business applications, databases, and external sources. • Implement data quality controls and validation processes to ensure data accuracy, consistency, completeness, and reliability. • Perform data transformation, cleansing, aggregation, filtering, and enrichment to support business and analytical requirements. • Establish and maintain appropriate governance practices for data, analytical models, and automated decision-making processes. • Develop and maintain logical and physical data models, including data structures, relationships, and business rules. • Ensure data platforms and solutions adhere to relevant security, governance, and compliance standards. Platform Optimisation & Automation • Develop and maintain automated deployment and integration processes for data solutions and cloud-based infrastructure. • Optimise data pipelines, processing workflows, and data models for performance, scalability, reliability, and cost efficiency. • Monitor and optimise data processing and storage capacity, including capacity planning and forecasting. • Identify and resolve system and query performance issues through appropriate tuning, optimisation, caching, indexing, and other techniques. • Monitor platform utilisation and implement appropriate housekeeping and cost-management practices. • Support the deployment, integration, and ongoing operation of advanced analytics and AI/ML solutions within the data platform. • Continuously assess and improve the reliability, maintainability, and operational efficiency of the data environment. Collaboration & Stakeholder Engagement • Work closely with data leads, technology teams, and business stakeholders to establish and manage data as a strategic business asset. • Translate business requirements into scalable and sustainable data solutions. • Provide guidance to business users on the development and maintenance of reports, dashboards, and analytical solutions. • Promote good data management, governance, and engineering practices across relevant stakeholder groups. Job Requirements • Bachelor’s degree in Computer Science, Data Science, Software Engineering, Information Systems, or another relevant quantitative or technical discipline. A Master’s degree is advantageous. • At least 10 years of relevant experience in data engineering, data management, data integration, data modelling, data quality, data platform optimisation, or related disciplines. • Strong experience designing and implementing modern cloud-based data architectures and data platforms. • Strong programming skills in Python and SQL. Experience with distributed data processing frameworks is highly desirable. • Experience working with both relational and non-relational databases. Familiarity with enterprise or legacy database technologies is advantageous. • Experience with software engineering and DevOps practices, including source control, CI/CD, automated deployment, and workflow orchestration. • Experience with data governance, metadata management, data cataloguing, and access-control frameworks. • Familiarity with business intelligence and data visualisation tools is advantageous. • Experience supporting the deployment and operationalisation of AI/ML solutions, including areas such as feature engineering and production inference, is desirable. • Strong understanding of data security, governance, scalability, performance, and operational best practices. • Strong analytical, problem-solving, communication, and stakeholder management skills. Interested applicants, please Email, fabianling@recruitexpress.com.sg Fabian Ling Tuong Liing R25129353 Recruit Express Pte Ltd EA Licence No: 99C4599 We regret that only shortlisted candidates will be contacted.