Rio Tinto
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Data Engineer
role at
Rio Tinto .
Responsibilities
Propose, engage, and support data analytics and business intelligence projects.
Engineer and design complex and efficient data pipelines using Python and SQL.
Turn business use cases and requirements into technical solutions.
Continuously improve data solutions for the Mine Technical Services team.
Use Palantir Foundry to flexibly manage and scale data pipelines.
Foster an innovative “disruptive” technology culture to identify and drive value‑creating opportunities.
Help the broader Rio Tinto Borates function by advising on technical complexity of identified opportunities.
Provide training and knowledge transfer to support the deployment and continuity of the analytics products developed.
About the Role We have an opportunity for a Data Engineer Specialist to work with challenging and exciting analytics problems and positively impact the business while engaging with a team of engineers, geologists, and data engineers. This role will involve gaining substantial experience working with our data systems to develop state‑of‑the‑art data solutions for our business’s data problems. You will be regularly challenged but given the support to drive your innovations.
Reporting to the Senior Engineer‑Strategic Mine Planning, you will support the Mine Technical Services team to design and continually improve services that solve business problems and provide insight to improve decisions for our borates business.
About You Ideally, you will have a qualification in mining engineering, earth science related field, computer science, data science, or related fields. Experience in the mining industry would be advantageous.
Proficiency in exploring and manipulating large datasets through applications or programming interfaces.
Demonstrated experience preparing data for business intelligence.
Ability to write and optimize SQL queries and create efficient data extract/transform/load (ETL) programs and tasks.
Pipeline development across different data architectures (transactional, time series, streaming, unstructured) and storage solutions including use of APIs.
Strong analytical and problem‑solving skills to diagnose and logically resolve technical problems.
Proficiency in SQL and Python, and Power BI is a must.
Software engineering experience desirable.
Knowledge and skills in one or more of the big data frameworks, i.e., Spark, Hive, Hadoop (desirable).
Exposure to or willingness to learn Palantir Foundry analytics platform.
Ability and desire to learn new skills on demand.
Where you will be working This role is based in Boron, California. Flexible work arrangements are possible, but considerable time on site is required.
About Rio Tinto Rio Tinto is a leading global mining and materials company. We operate in 35 countries where we produce iron ore, copper, aluminium, critical minerals, and other materials needed for the global energy transition and for people, communities, and nations to thrive. We have been mining for 150 years and operate with knowledge built up across generations and continents.
Our purpose is finding better ways to provide the materials the world needs – striving for innovation and continuous improvement to produce materials with low emissions and to the right environmental, social and governance standards. But we can’t do it on our own, so we’re focused on creating partnerships to solve problems, create win‑win situations and meet opportunities.
Respect and Inclusion Rio Tinto is committed to equal employment opportunity. All qualified applicants will be considered without regard to race, color, sex, age, religion, national origin, disability, or any other characteristic protected by federal, state, or local law.
We are committed to an inclusive environment where people feel safe, respected and valued. We want our people to feel that all voices are heard and that a variety of perspectives are not only welcome but are essential to our success. We treat all our people fairly and with dignity.
Rio Tinto participates in E-Verify to confirm work authorization. Please visit http://www.ucis.gov/ for more information.
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Data Engineer
role at
Rio Tinto .
Responsibilities
Propose, engage, and support data analytics and business intelligence projects.
Engineer and design complex and efficient data pipelines using Python and SQL.
Turn business use cases and requirements into technical solutions.
Continuously improve data solutions for the Mine Technical Services team.
Use Palantir Foundry to flexibly manage and scale data pipelines.
Foster an innovative “disruptive” technology culture to identify and drive value‑creating opportunities.
Help the broader Rio Tinto Borates function by advising on technical complexity of identified opportunities.
Provide training and knowledge transfer to support the deployment and continuity of the analytics products developed.
About the Role We have an opportunity for a Data Engineer Specialist to work with challenging and exciting analytics problems and positively impact the business while engaging with a team of engineers, geologists, and data engineers. This role will involve gaining substantial experience working with our data systems to develop state‑of‑the‑art data solutions for our business’s data problems. You will be regularly challenged but given the support to drive your innovations.
Reporting to the Senior Engineer‑Strategic Mine Planning, you will support the Mine Technical Services team to design and continually improve services that solve business problems and provide insight to improve decisions for our borates business.
About You Ideally, you will have a qualification in mining engineering, earth science related field, computer science, data science, or related fields. Experience in the mining industry would be advantageous.
Proficiency in exploring and manipulating large datasets through applications or programming interfaces.
Demonstrated experience preparing data for business intelligence.
Ability to write and optimize SQL queries and create efficient data extract/transform/load (ETL) programs and tasks.
Pipeline development across different data architectures (transactional, time series, streaming, unstructured) and storage solutions including use of APIs.
Strong analytical and problem‑solving skills to diagnose and logically resolve technical problems.
Proficiency in SQL and Python, and Power BI is a must.
Software engineering experience desirable.
Knowledge and skills in one or more of the big data frameworks, i.e., Spark, Hive, Hadoop (desirable).
Exposure to or willingness to learn Palantir Foundry analytics platform.
Ability and desire to learn new skills on demand.
Where you will be working This role is based in Boron, California. Flexible work arrangements are possible, but considerable time on site is required.
About Rio Tinto Rio Tinto is a leading global mining and materials company. We operate in 35 countries where we produce iron ore, copper, aluminium, critical minerals, and other materials needed for the global energy transition and for people, communities, and nations to thrive. We have been mining for 150 years and operate with knowledge built up across generations and continents.
Our purpose is finding better ways to provide the materials the world needs – striving for innovation and continuous improvement to produce materials with low emissions and to the right environmental, social and governance standards. But we can’t do it on our own, so we’re focused on creating partnerships to solve problems, create win‑win situations and meet opportunities.
Respect and Inclusion Rio Tinto is committed to equal employment opportunity. All qualified applicants will be considered without regard to race, color, sex, age, religion, national origin, disability, or any other characteristic protected by federal, state, or local law.
We are committed to an inclusive environment where people feel safe, respected and valued. We want our people to feel that all voices are heard and that a variety of perspectives are not only welcome but are essential to our success. We treat all our people fairly and with dignity.
Rio Tinto participates in E-Verify to confirm work authorization. Please visit http://www.ucis.gov/ for more information.
#J-18808-Ljbffr