Billigence - Data Engineer Consultant About Billigence:
Billigence is a boutique data consultancy with global outreach & clientele, transforming the way organizations work with data. We leverage proven, cutting-edge technologies to design, tailor, and implement advanced Business Intelligence solutions with high added value across a wide range of applications from process digitization through to Cloud Data Warehousing, Visualisation, Data Science, and Engineering or Data Governance. Headquartered in Sydney, Australia with offices around the world, we help clients navigate difficult business conditions, remove inefficiencies, and enable scalable adoption of analytics culture.
We are seeking a Consultant-Data Engineer to join our growing Practice. You will work closely with our blue-chip clients in a variety of industries such as banking and finance, insurance, government, telco, media, and FMCG. The role is a combination of working on client project, supporting pre-sales as well as leading some of our internal initiates across data cloud projects. The role and work on the project requires self-development, ability to support others, working as a sole consultant but also as part of a team if required.
Support technical leadership and guidance to data engineering teams, driving innovation and best practices in data cloud implementations
Design, develop, and implement scalable data solutions using modern cloud data platforms
Architect and deliver robust ETL/ELT pipelines and data integration solutions for enterprise clients
Drive technical excellence across projects, establishing coding standards, best practices, and quality assurance processes
Collaborate with cross-functional teams including data analysts, business stakeholders, and project managers to deliver end-to-end data solutions
Engage with client stakeholders to understand requirements, provide technical guidance, and influence strategic data decisions
Support internal initiatives in capability building, team development, and delivery quality initiatives
Stay current with emerging technologies and industry trends in cloud data platforms and data engineering
4+ years of experience across data engineering, cloud computing, or data warehousing
Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar
Understanding of data modelling principles, dimensional modelling, and database design
Proficiency in SQL and query optimization
Comprehensive knowledge of ETL/ELT processes and data pipeline architecture
Data architecture and solution design experience
Hands-on experience with modern data tools such as dbt, Fivetran, Matillion, or similar data integration platforms
Programming skills in Python, Java, or Scala
Relevant cloud certifications (SnowPro, Databricks Certified, AWS/Azure/GCP Data Engineering certifications)
Knowledge of data governance, data quality frameworks, and metadata management
Hybrid/remote working environment, allowing you a flexible work-life balance to thrive both in the office and from the comfort of your home
Competitive compensation package + performance bonus
Referral bonus scheme
Career growth support, internal moves, and career advancement opportunities
Team building and networking events
Inclusion and Equal Opportunities:
We will consider all applicants for employment without regard to race, ethnicity, national origin, religion, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status.
If you are a talented and experienced Data Expert who is passionate about working on cutting-edge data projects and driving digital transformation, we'd love to hear from you!
