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Sydney | Hybrid - 3 days in office Build The Data Foundations For What’s Next.... Unique opportunity for a Senior Database & Analytics Engineer who wants to do more than build data solutions, you’ll help shape how data is engineered, governed, understood and reused across the organisation. As part of a growing AI, Data & Analytics team, you’ll work across the full data lifecycle, turning source data, business rules and mappings into trusted, governed and analytics-ready data, while collaborating with Analysts, Data Engineers and stakeholders across the business. You’ll be hands-on with SQL, data modelling and transformation, while also having the autonomy to challenge, influence and improve how engineering is done. What makes this role different? You will report directly into the Head of Data & AI & collaborate to establish engineering standards, reusable patterns and quality practices, tackle technical debt and constructively challenge designs that create unnecessary complexity or risk. And with the organisation investing heavily in Data, Technology and AI, you'll be helping create the foundations for what comes next. What You'll Bring 8+ years' experience across data engineering, analytics or related data domains Advanced SQL and strong database development skills Strong experience across data modelling, ETL/ELT, transformation and source-to-target mapping Solid understanding of data quality, reconciliation, metadata and lineage Experience with a modern cloud data platform — Microsoft Fabric / Azure highly desirable Understanding of warehouse, lakehouse and medallion architecture Experience with Git, code review and CI/CD Python and/or PySpark would be a bonus A track record of setting technical standards and improving engineering practices Most importantly, you're someone who takes ownership. You don't need detailed technical supervision. You can work through ambiguity, bring people together, whiteboard a problem, make sound technical decisions and drive an outcome from design through to production. The opportunity This is a role for someone who wants to be both a doer and a thought leader. You'll work closely with Data Engineers, Technical Business Analysts, Data Governance, Architecture and Reporting & Visualisation teams — helping raise the maturity of the wider capability while contributing to a longer-term Data + AI transformation. If you're a Senior Data Engineer, Senior Analytics Engineer, Lead Data Engineer or similar and you're ready for greater technical ownership and influence, I'd love to hear from you! Please APPLY via the link or for a confidential discussion first please text Anna-Maria on 0426 503 822.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
