Data Engineer - HR Data

Data Engineer – HR Data

• Great opportunity to join a global organisation at the forefront of mining
• Excellent work environment where people are valued and respected
• Work in a fast-paced environment with lots of opportunity for exposure to both highly visible projects and cutting-edge technology - Did you know Rio Tinto has the world’s biggest robot?
• Permanent position based in Brisbane – flexible working arrangements available

All progress begins with pioneers. At Rio Tinto, it begins with you.

About the role:

We have an opportunity for a Data Engineer - HR Data, with an interest in people and what drives them. You’ll join a global team of technology experts and engineers in this exciting new field where Data Science meets Human Resources. The insights from our team have direct impact on strategic people-related decisions from recruitment processes and retention strategies to employee wellbeing and engagement.

Reporting to the HR Lead for Advanced Analytics and Data Science, you will support the global business to design and continually improve services, solving business problems and providing insight to making improvements,

As the Data Engineer you will be responsible for:

• Designing, building, deploying and scaling data pipelines to serve machine learning and predictive models
• Data modelling and architecting data sets from different enterprise systems
• Engineering complex systems to manage big data compute tasks
• Developing platforms and processes that support the reproducibility of results
• ETL reporting from traditional and legacy systems.
• Ensure the quality assurance and quality control of all data analytics products released to the business
• Capture and record the intellectual property generated.
• Share what has been developed in GitHub to help foster a new generation of data driven decision makers and enable them to improve upon what has already been done
• Engage with clients and key stakeholders to build their understanding of data analytics and provide training and knowledge transfer.

About you

You will ideally have a degree qualification in Computer Science, Engineering, Mathematics, or related fields combined with strong experience in data science projects, preferably using agile methodologies.

You should also have experience with some or all of the below:

• Strong experience with relational databases (SQL Server, Postgres or Oracle) – including administration, data modelling, optimizing queries, developing stored procedures for performance and operational maintenance.
• Experience with Docker and deployment to the cloud – AWS or Azure
• Experience with Power BI, Tableau or with Python libraries as well as software development experience in Python or R.
• Understanding of massive parallel architectures – Spark or Hadoop
• Experience with Linux operating system and developing repeatable builds
• Data pipeline automation and ETL development with tools like EasyMorph, Informatica, Azure Data Factory, Google Dataflow, Pentaho, etc.

What we offer

Be recognised for your contribution, thinking and hard work, and go home knowing you’ve helped the world progress.

• A work environment where safety is always the number one priority
• A competitive base salary reflective of your skills and experience with annual incentive program
• Flexible work arrangements will be supported
• Comprehensive medical benefits including subsidised private health insurance for employees and immediate family
• Brand new modern office building that is set up for you to do your best work and have a great time doing so, with breakout areas, little nooks, and quiet places to retreat (and we have a BBQ at level 20!)
• Attractive share ownership plan
• Company provided insurance cover
• Extensive salary sacrifice & salary packaging options
• Career development & education assistance to further your technical or leadership ambitions
• Ongoing access to family-friendly health and medical wellbeing support
• Leave for all of life’s reasons (vacation/annual, paid parental, sick leave)
• Training & development, mentoring programs and career progression opportunities

About Rio Tinto

Every idea, every innovation, every little thing the world calls ‘progress’ begins with a first step, and someone willing to take it: explorers, inventors, entrepreneurs. Pioneers.

For nearly 150 years, Rio Tinto has been a company of pioneers – generations of people spanning the globe, all with the grit and vision to produce materials essential to human progress.

Our iron ore has shaped skylines from Shanghai to Sydney. Our aluminium – the world’s first to be certified “responsible” – helps planes fly and makes cars lighter. Our copper helps wind turbines power cities, and our boron helps feed the world, and explore the universe.

Our diamonds help us celebrate the best parts of life.

Where you will be working

Rio Tinto Information Systems and Technology (IS&T) operates to enable better alignment with customer priorities, end-to-end accountability and flexibility to prioritise critical work. The function provides solutions that are aligned with current and future business requirements through the development and ongoing delivery of IT strategy and solution roadmaps. Through appropriate governance, consultative processes, and the use of industry best practices, IS&T also ensures that emerging technologies and innovative ideas are constantly evaluated, considered, and adopted, to provide easy-to-use, best-in-class solutions and services.

Every Voice Matters

At Rio Tinto, we particularly welcome and encourage applications from Aboriginal and Torres Strait Islander people, women, the LGBTI+ community, mature workers, people with disabilities and people from different cultural backgrounds.

We are committed to an inclusive environment where people feel comfortable to be themselves. We want our people to feel that all voices are heard, all cultures respected and that a variety of perspectives are not only welcome – they are essential to our success. We treat each other fairly and with dignity regardless of race, gender, nationality, ethnic origin, religion, age, sexual orientation or anything else that makes us different.