Data Engineer

vor 2 Wochen


Council of the City of Sydney, Österreich Atturra Limited Vollzeit

What you’ll be doing Atturra Data & Integration are looking for a Lead / Senior Data Specialist to own the journey from legacy silos to a Unified Lakehouse on Databricks. You’ll be involved in discovery workshops, shape target architecture and be part of a high performing engineering team that turns raw data into trusted insight. Atturra is seeking candidates who have a passion for innovative technology and driving customer transformation. This person must be able to communicate with a variety of different audiences and must have strong presentation skills. The ability to lead technical groups along with handling critical customer issues is important for this role. This role will be a 6-month contract initially, with a good possibility of further extension. Working in our Atturra office or on the client site (as needed), is a non-negotiable requirement for this position. Additionally, you MUST hold a minimum of a Permanent Residency Visa to be considered. Responsibilities Lead migration and analytics engagements on Databricks from scoping through production hand over Design, build and optimise batch or streaming pipelines into DeltaLake, governed by UnityCatalog Model data using medallion principles and champion standards that keep quality, lineage and security front of mind Embed automated testing, monitoring and CI/CD so releases are fast and recoverable Deliver curated PowerBI datasets, dashboards and reusable APIs that enable near real time insight and bidirectional syncs Mentor engineers, resolve blockers quickly and present progress, risks and ROI to executives and clients. Technical Requirements A track record of architecting and delivering Databricks Lakehouse solutions at scale Hold Databricks Certifications Advanced SQL plus Python or Scala, with deep knowledge of DeltaLake, UnityCatalog and DevOps automation Experience integrating enterprise systems through REST, messaging or ETL tools and governing enterprise data models Confident stakeholder engagement—from technical deep dives to board level briefings Exposure to IBMi/DB2, ConnectWise, HubSpot, Boomi, Snowflake or Tableau Hands on experience operationalising machine learning workloads in Databricks Familiarity with cost optimisation and FinOps in cloud analytics environments Why is this an exciting opportunity? Atturra is one of the fastest growing ASX‑listed advisory and IT solutions companies in Australia, giving you a strong foundation to fulfil your career ambitions. We currently have 1100+ professionals working across Australia, New Zealand, Singapore and Hong Kong who are using innovation to lead the way. This is your chance to make an impact. Come and join our talented and creative team of change makers to redefine the future through technology. Data & Integration business unit The Data & Integration business unit helps clients unlock the full potential of data by integrating systems and applications, enabling digital transformation through our comprehensive on‑premises, hybrid, and cloud integration solutions. We specialise in Boomi, Smartsheet, and OpenText. What our people say “We are working towards a very bright future.” “It’s a company with vision and a promising future.” Atturra has a great working environment and management are very supportive of their staff. We celebrate success and have fun while working hard. Culture of possibility At Atturra we embrace innovation within our teams, fostering an environment of possibility and growth. We believe in creating a supportive and welcoming culture, where everyone is encouraged to achieve success through collaboration, continuous learning, and smart work practices. Valuable employee benefits Employee benefits, recognition, and wellbeing platform Career growth via succession planning, internal promotions, and mentorship opportunities Ongoing investment in professional development through industry and technology certifications, and study assistance Mental health support through our Employee #J-18808-Ljbffr


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