Data Engineer (PERM)

Position Overview We are looking to recruit several Data Engineers to design, develop, and maintain scalable, secure, and high-performance data platforms that enable efficient data collection, storage, processing, and analytics. In this role, you will build robust batch and real-time data pipelines, optimise data architectures, and ensure data quality, governance, and availability to support business intelligence and advanced analytics initiatives. Key Responsibilities • Collaborate with customers, business stakeholders, partners, and internal teams to understand data requirements and provide technical solutions. • Partner closely with data scientists and analytics teams to support data modelling and machine learning initiatives. • Design, develop, document, and maintain scalable data models, ETL/ELT processes, data warehouses, and data pipelines for large volumes of structured and unstructured data. • Build and optimise batch, near real-time, and real-time data processing solutions. • Monitor, maintain, and improve the performance, reliability, and scalability of data platforms and pipelines. • Define, monitor, and report Service Level Agreements (SLAs) for data pipelines and data products. • Implement data security, governance, and compliance standards across data platforms. • Drive data quality assurance initiatives and establish best practices for data integrity and consistency. • Support pre-sales activities by providing technical expertise for data management solutions, proposal development, and post-implementation support. Requirements • Minimum 3 years of experience designing, building, and optimising data pipelines, data architectures, and datasets using ETL/Data Integration tools such as Informatica, Talend , or equivalent. • Hands-on experience with data transformation, metadata management, workload management, and big data technologies such as Apache Spark, Hadoop, and Hive . • Strong proficiency in:SQLPythonDatabase Management Systems (DBMS)Data WranglingData Visualisation • Experience working with diverse data sources, including:Flat filesSQL databasesSAP databasesPostgreSQLUnstructured data (text, documents, images, audio, video, sensor data) • Good understanding of data security, governance, and data quality best practices. • Strong analytical, troubleshooting, and problem-solving skills. • Excellent communication and stakeholder management abilities. Only shortlisted candidates will be notified. (EA Reg No: 20C0312)