Data Engineer

About this role

Data Engineer - L4 - EL1 We are looking for motivated and experienced Data Engineers to join our team and tackle unique data challenges that directly impact our business operations. This role is perfect for candidates with several years’ experience in data engineering, data integration, and data management. Using tools like Python, NiFi and Java, you will be responsible for designing, building, operationalising and securing data pipelines, stores and real-time processing systems. You will leverage your experience to help inform the design of our next generation of scalable, secure, reliable and performant data systems. ASIS operates in an uncompromisingly unique environment. No two days, or datasets, will be the same as you maximise the use of ASIS’s operational data holdings—a challenge that sets us apart from the ordinary. Key Responsibilities and Tasks • Support the design, development and maintenance of our data ingest pipelines. • Troubleshoot issues related to data ingestion, identifying root causes and implementing sustainable solutions promptly. • Support the design, development, delivery and maintenance of large-scale secure data systems. • Collaborate closely with data colleagues, analysts and mission areas to understand data requirements and support data delivery initiatives. • Contribute to communicating and documenting data workflows, processes, and solutions for knowledge sharing. Education, Qualification and Experience Requirements The following education, qualifications and/or experience will be highly regarded: • Bachelor’s degree in Computer Science, Information Technology, or a related field. • Strong programming skills. Familiarity with Python, Java, or similar languages is a plus. • Strong interest or experience in data management, ETL (Extract, Transform, Load) processes, and data pipelines. • Have a knowledge of database management systems (relational, and non-relational) and bulk data concepts. • Ability to work collaboratively in a team environment and willingness to learn from experienced professionals. • Excellent problem-solving skills and attention to detail.