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Data & automation engineer

Deloitte
Posted: 19 December
Offer description

This is a Data & Automation Engineer role with Deloitte based in Sydney, NSW, AU Deloitte Role Seniority - mid level More about the Data & Automation Engineer role at Deloitte Job Requisition ID: 40294 Data Integration & Analytics Engineer – Sydney Work in a start-up like environment – opportunity to develop new features Flexible work arrangements – work in a way that suits you best Holistic well-being program – flu vaccinations and health & wellbeing focused work What will your typical day look like? Day to day, you’ll build and improve the data and analytics solutions that power Deloitte’s Audit & Assurance platform. You’ll work hands-on with large, complex datasets—shaping, modelling and transforming data so it’s ready for high-impact audit and finance use cases. Your work will be used by thousands of people across Australia and Asia Pacific, giving you real scale and visibility. You’ll collaborate with architects, analysts and engineers to turn real business and regulatory needs into reliable data pipelines and Python-based analytics apps. Along the way, you’ll help modernise our ETL workflows, support smooth releases through CI/CD, and share your knowledge with junior team members—while continuing to grow your own skills. About the team The Audit & Assurance (A&A) Data & Digital team sits at the heart of Deloitte’s Asset Transformation Strategy across Asia Pacific. We’re a diverse, multidisciplinary group of data engineers, designers, developers and consultants, united by a shared mission: delivering next-generation solutions through our proprietary Big Data Platform. Our platform processes billions of records across hundreds of solutions and supports thousands of clients and engagements. It’s a fast-paced, collaborative environment where engineering excellence, innovation and real-world impact go hand in hand. Enough about us, let’s talk about you. You may have all or some of the following skills / experiences: 2–4 years’ experience as a Data Engineer or Data Product Engineer, ideally in consulting or complex, multi-system environments Strong Python skills for data wrangling and analytics (e.g. Pandas, Polars, PySpark) Confident working with SQL and tuning queries for performance (e.g. Azure SQL, Postgres, DuckDB) Hands-on experience building and running ETL/ELT pipelines, using modern data integration tools or custom Python solutions Comfortable working with large, complex datasets, including modelling, mapping and data quality checks Experience building Python-based analytics or reporting apps, and supporting APIs or backend services Familiar with CI/CD ways of working and common tooling A collaborative communicator who enjoys working with engineers, analysts and architects Self-driven and adaptable, with a genuine interest in learning and improving Bonus points for exposure to Docker, Power BI/Tableau, Databricks or AI-powered developer tools—but these aren’t essential. Why Deloitte? At Deloitte, we focus our energy on interesting and impactful work. We’re always learning, innovating and setting the standard; making a positive difference to our clients and our society. We put coaching at the heart of what we do, helping our people grow their careers in any direction – whether it be up, moving into something new, or even moving across the world. We embrace diversity, equity and inclusion. We have a diverse collection of people from different backgrounds, with different experiences, gender identities, abilities and thinking styles. What binds us together is a shared commitment to value everyone’s perspective and to cultivate inclusion; so that our work environment is a safe space we can all belong. We support flexibility and choice. We encourage you to find the right balance between connecting in person with your clients and teams and meeting your own personal needs. We help you live and work well. To support your personal and professional life, we offer a range of perks and benefits, including retail discounts, wellbeing leave, paid volunteering days, twelve flexible working options, market-leading parental leave and return to work support package. Next Steps Sound like the sort of role for you? Apply now. Please note: Deloitte has a shutdown period from Friday the 19th of December to Monday the 5th of January, and applications will not be reviewed until we return By applying for this job, you’ll be assessed against the Deloitte Talent Standards. We’ve designed these standards so that you can grow in your career, and we can provide our clients with a consistent and exceptional Deloitte employee experience globally. The preferred candidate will be subject to background screening by Deloitte or by their external third-party provider. Before we jump into the responsibilities of the role. No matter what you come in knowing, you’ll be learning new things all the time and the Deloitte team will be there to support your growth. Please consider applying even if you don't meet 100% of what’s outlined Key Responsibilities Building data solutions Collaborating with teams ⚙️ Modernising ETL workflows Key Strengths Python skills SQL proficiency ETL/ELT pipeline experience CI/CD familiarity Data visualization tools Collaborative communication Why Deloitte is partnering with Hatch on this role. Hatch exists to level the playing field for people as they discover a career that’s right for them. So when you apply you have the chance to show more than just your resume. A Final Note: This is a role with Deloitte not with Hatch.

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