AWS Data Engineer

vor 2 Wochen

City of Melbourne, Österreich InfoCentric Vollzeit

InfoCentric is a leading consultancy specialising in data engineering, compliance-driven data ecosystems, and modern data platform solutions. We help organisations build robust, scalable, and secure data foundations by delivering expertise across Data Engineering, Cloud Platforms, Advanced Analytics, and Data Governance. About the role: We are looking for an experienced Data Engineer Consultant to join our team and support large-scale data processing and regulatory compliance initiatives. This role is deeply technical, with a strong focus on designing, building, and maintaining scalable data pipelines that process significant volumes of customer and transaction data. You will work with modern data engineering technologies, including PySpark, Delta Lake, Databricks, and Apache Airflow , enabling the application of complex business rules for monitoring, detection, and data quality. About you: To be successful in this role, you’ll need: Several years of experience as a Data Engineer or Data Engineering Consultant Strong hands‑on experience with AWS, PySpark, SQL, and Delta Lake Experience working in Databricks and distributed processing environments Practical experience implementing job orchestration with Apache Airflow Solid understanding of ETL/ELT principles, data modelling, and large‑scale data processing Strong understanding of data governance, data quality, and compliance‑driven workflows Strong problem‑solving skills, communication, and attention to detail Experience contributing to Agile ceremonies, solution design, and technical documentation At InfoCentric , our people are at the centre of everything we do. We empower our consultants to grow, innovate, and take ownership of technical solutions that make a real impact. We specialise in modern data engineering, cloud data platforms, and compliance‑centred analytics, delivering high‑value outcomes to leading organisations. Realise Opportunity Training and certifications supported across key technologies, including Databricks, PySpark, Airflow, and Cloud Data Platforms Exposure to complex, large‑scale data environments from day one Mentorship and collaboration with highly experienced data engineering professionals Thrive Together & Embrace Diversity Genuine recognition for contribution and performance Team events, collaborative environments, and a supportive culture Work with diverse teams across data engineering, analytics, and governance Think Big Picture Flexible working options to balance personal and professional commitments Opportunities to drive improvements, influence engineering standards, and create meaningful impact A chance to shape and contribute to data‑driven transformation initiatives Applications Due to the high volume of applications we receive, only shortlisted applicants will be contacted. We appreciate your interest in InfoCentric. If you are not successful for this position, we may retain your details for future opportunities aligned to your experience. #J-18808-Ljbffr

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