Data Engineer

Job Description: Data Engineer/ Data Modeller

ABOUT US

At Codida, we are a specialised data & analytics company driving digital transformation in Australia's resources sector. Founded in Perth in 2023, we combine deep industry knowledge with cutting-edge data solutions to help mining, oil, and gas clients unlock operational value.

Working with industry-leading clients, our team delivers tailored solutions in industrial automation, data integration, and analytics that transform complex operational data into actionable intelligence. Our expertise spans industrial IT/OT systems integration, custom data visualisation, environmental compliance monitoring, and process automation.

Our dynamic team prides itself on agility, technical excellence, and commitment to our clients' success. We're on an exciting growth trajectory, with plans to expand our footprint across new clients and commodities in the resources sector.

Join us as we continue our journey to become a market leader in industrial data analytics, helping shape the future of Australia's resources industry.

THIS ROLE

We are seeking an experienced and motivated Data Engineer/Data Modeller to join our team. In this role, you will play a pivotal role in designing and implementing data models and pipelines, enabling informed decision-making for our resources sector clients. You will work directly with some of Australia's largest mining and energy companies, transforming their operational data into strategic assets. This position offers exceptional growth opportunities as part of our expansion plans, with the chance to develop your skills while making a tangible impact on critical national industries.

RESPONSIBILITIES

Data Engineering

• Gather data from various industrial sources including SCADA systems, PI historians, and operational databases.
• Clean and preprocess data to prepare it for analysis, ensuring data quality and integrity.
• Develop and maintain data pipelines for ongoing analytics.
• Document data sources, transformations, and methodologies.

Data Analysis and Visualisation

• Utilise Power BI to create interactive dashboards, reports, and visualisations.
• Identify trends, patterns, and actionable insights from complex industrial datasets.
• Translate raw information into meaningful intelligence that drives operational improvements.
• Design intuitive visualisations that make complex data accessible to decision-makers.
• Implement data models that support both routine reporting and ad-hoc analysis.

Client Relationship Building

• Build trust through relationships and reinforce through consistent, high-quality delivery.
• Collaborate with stakeholders to understand their data needs and business objectives.
• Define and standardise metrics and hierarchies in collaboration with clients.
• Implement standardised metrics and hierarchies into data models for consumption by reporting teams.
• Communicate findings effectively to both technical and non-technical audiences.
• Participate in client meetings and workshops to gather requirements and present results.

Consulting

• Work autonomously, managing your tasks and priorities efficiently.
• Take ownership of data-related projects from requirements gathering to delivery.
• Proactively identify opportunities for process improvement.
• Stay current with industry trends and emerging data technologies.

REQUIRED EXPERIENCE

• 2-3 years' experience in data engineering or data modelling, preferably in resources, industrial, or engineering contexts.
• Experience in the Microsoft stack, including Fabric, Power BI, SQL Server, and Azure.
• Data processing using SQL & Python
• Strong analytical skills to interpret complex statistical data and industrial metrics.
• Excellent verbal and written communication skills with the ability to translate technical concepts for non-technical audiences.
• Demonstrated ability to work independently and take initiative in ambiguous situations.
• Data collection, cleaning, and analysis.
• Creative approach to overcoming data challenges in complex environments.

QUALIFICATIONS

• Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or related field.
• Certification in Power BI, data analysis, or similar technologies is highly valued.
• Experience in the resources sector is advantageous but not essential.

WHAT WE OFFER

• Competitive salary package.
• Flexible working arrangements.
• Opportunity to work with cutting-edge technologies and major industry players.
• Career progression path within a rapidly growing company.
• Professional development support and training opportunities.
• Collaborative, innovative work environment with a focus on work-life balance.

HOW TO APPLY

If you're ready to take on an exciting role where your analytical skills will directly impact Australia's resources sector, we want to hear from you. Please submit your resume and a cover letter explaining why you're the perfect fit for Codida.

Codida is an equal opportunity employer committed to building a diverse and inclusive team.