At First Quantum, we free the talent of our people by taking a very different approach which is underpinned by a very different, very definite culture – the “First Quantum Way”.

Working with us is not like working anywhere else, which is why we recruit people who will take a bolder, smarter approach to spot opportunities, solve problems and deliver results.

Our culture is all about encouraging you to think independently and to challenge convention to deliver the best result. That’s how we continue to achieve extraordinary things in extraordinary locations.

Overall Job Purpose

The Data Engineer is responsible for designing, building, and maintaining reliable and scalable data pipelines and platforms that support reporting, analytics, and operational decision-making. This role focuses on implementing robust data solutions that integrate data from multiple sources, while ensuring data quality, consistency, and accessibility.

The position involves hands-on development of ETL processes, data models, and pipelines, working closely with platform, analytics, and business teams to deliver clean, structured, and timely data.

Responsibilities or duties

Specific Job Responsibility

• Design, build, and maintain end to end data pipelines for ingesting, transforming, and delivering data
• Design and implement scalable, secure, and high-performance data pipelines (batch and real-time)
• Ensure seamless integration across IT, OT, and analytics platforms
• Ensure high availability, reliability, and performance of data platforms
• Collaborate with cross-functional teams to deliver data solutions aligned to business needs
• Translate business requirements into scalable technical solutions
• Keep abreast of industry trends and emerging technologies to recommend innovative solutions for business improvement.

Qualifications or requirements (e.g., education, skills)

Job Specific Competencies

• Strong analytical skills and ability to analyse complex data sets and assist drive data-influenced decisions.
• High level proficiency in Python and SQL
• Experience with cloud-native services and platforms (e.g. Databricks, Snowflake, Synapse, BigQuery)
• Report writing

Key Job Attributes

• Problem solving skills
• Ability to lead cross-functional technical initiatives
• Good communicator with the ability to actively listen
• Commitment to engineering excellence and continuous improvement

Experience needed

Experience & Qualifications

• Minimum 4–7 years of experience in data engineering, distributed systems, or data platform operations
• Demonstrated ability to build and maintain data pipelines in production environments.
• Bachelor’s Degree in Computer Science, Data Engineering, or a related field (Master’s degree preferred).

• Design, build, and maintain end to end data pipelines for ingesting, transforming, and delivering data
• Design and implement scalable, secure, and high-performance data pipelines (batch and real-time)
• Ensure seamless integration across IT, OT, and analytics platforms
• Ensure high availability, reliability, and performance of data platforms
• Collaborate with cross-functional teams to deliver data solutions aligned to business needs
• Translate business requirements into scalable technical solutions
• Keep abreast of industry trends and emerging technologies to recommend innovative solutions for business improvement.

• Strong analytical skills and ability to analyse complex data sets and assist drive data-influenced decisions.
• High level proficiency in Python and SQL
• Experience with cloud-native services and platforms (e.g. Databricks, Snowflake, Synapse, BigQuery)
• Report writing
• Problem solving skills
• Ability to lead cross-functional technical initiatives
• Good communicator with the ability to actively listen
• Commitment to engineering excellence and continuous improvement

• Bachelor’s Degree in Computer Science, Data Engineering, or a related field (Master’s degree preferred).