KEY RESPONSIBILITIES
Design, build and maintain scalable ETL/ELT data pipelines for structured and unstructured data from various data sources.
Develop and maintain central data warehouses, data lakes and other data storage solutions.
Work with business stakeholders in Asia-Pacific (Australia) and North America to design, build and maintain data products for business use-cases.
Develop and implement advanced analytical solutions including machine learning models and predictive analytics.
Integrate data from a variety of internal and external sources to support analytics, reporting and operational processes.
Collaborate with Data Architect, Analysts and business stakeholders to understand requirements and translate them into technical solutions.
Monitor, troubleshoot and optimise data pipelines for performance and reliability.
Ensure data quality, security, integrity and consistency across systems through effective governance practices.
Document technical processes, data flow, and design decisions.
Support data migrations and modernisations from legacy systems to cloud or modern platforms and other projects.
Follow best practices in data engineering, including automation, version control and CI/CD for pipelines.
Promote knowledge sharing and best practices across the data and analytics function
QUALIFICATION REQUIREMENTS
Education and Experience
Bachelor's or Master's degree in Computer Science, MIS, or a related field or an equivalent combination of diploma, certifications and relevant experience.
Minimum of 5 years of experience in data engineering, analytics engineering or a similar role.
Proven experience designing and deploying ETL/ELT pipelines in production environments.
Strong understanding of data warehousing concepts and data modelling.
Technical Skills
Strong proficiency with SQL and data transformation tools.
Experience with ETL tools (e.g. Informatica, Databricks, DBT etc.)
Familiarity with cloud platforms (AWS, Azure, GCP) and data storage services (S3, BigQuery, Snowflake etc.) and formats (Parquet, Blob Storage etc.)
Hands-on experience with data pipeline orchestration tools (e.g. Airflow, Boomi)
Experience with scripting languages such as Python and/or Scala
Experience working with data analytics tools and platforms (e.g. Tableau, Power BI)
Familiarity with version control and code management (e.g. Git)
Experience working with Incorta is considered an asset.
Proficient in MS Office products.
Understanding of data governance and security laws in North America and APAC regions
Leadership and Interpersonal Skills
Strong analytical and problem-solving skills
Excellent communication and interpersonal skills with ability to translate technical concepts into business-friendly language
Self-motivated with the ability to work independently or as part of a cross-functional team.
Collaborative mindset with a focus on delivering business value.
Ability to juggle multiple projects & tasks and prioritise and deliver results in the face of competing business interests and in a fast-paced environment.
Preferred Qualifications
Experience in Agile development environments.
Exposure to CI/CD practices for data pipeline deployment.
Familiarity with data governance, security and compliance practices.
Industry certifications in cloud platforms or data engineering tools.
General Skills & Abilities
Strong attention to detail and commitment to data accuracy.
Curiosity and continuous learning mindset
Ability to thrive in ambiguous situations and drive clarity
Maturity of judgement and on-demand decision making to resolve problems without delay and/or to seek support when required.
Demonstrated organisation, time management, and multi-tasking skills.
Detail oriented, but also able to view a big picture and understand strategic context.
Ability to work independently and proactively to develop and implement solutions with minimal guidance.
Ability to build relationships quickly and work as part of a team.
Motivated to understand the business and ability to quickly grasp how processes work and leverage that knowledge to drive business results.
About Us
Civeo Australia, a division of Civeo Corporation, provides workforce accommodation services globally. In Australia, Civeo has a national footprint of approximately 10,000 rooms across twelve villages in Queensland, New South Wales, and Western Australia. In addition, Civeo also operates approximately 16,500 rooms in client-owned properties in remote regions of Western Australia, South Australia and Queensland. With more than 40 years of experience, Civeo supports individuals who live and work away from home.
We're committed to fostering sustainable partnerships and inclusive opportunities in all the communities we operate in. By actively engaging with Traditional Owners and First Nations Businesses, we're not just operating accommodation villages, we're nurturing relationships that honour the rich cultural heritage of the land.
We're safe, welcoming, and proud to encourage Aboriginal & Torres Strait Islander people to join us.
Skills Required
- Bachelor's or Master's degree in Computer Science, MIS, or related field
- Minimum 5 years of experience in data engineering
- Proven experience designing and deploying ETL/ELT pipelines
- Strong proficiency with SQL and data transformation tools
- Experience with ETL tools like Informatica, Databricks, DBT
- Familiarity with cloud platforms and data storage services
- Hands-on experience with data pipeline orchestration tools
- Experience with scripting languages such as Python and/or Scala
- Experience with data analytics tools like Tableau or Power BI
What We Do
Civeo is a global workforce accommodation specialist that helps people maintain healthy and productive lives while living and working away from home. Civeo Australia has more than 24,000 rooms under management throughout Queensland, New South Wales, Western Australia and South Australia. We are part of Civeo Corporation, a global company with regional operations in Australia, the United States and Canada with a combined total of over 40,000 rooms. Civeo’s core values Safety, Care, Integrity, Excellence, Respect and Collaboration are the principles that form the foundation on which we perform work and ultimately influence and shape our amazing culture. Unsurprisingly, they are the practices we use every day in everything we do.
