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.
About the Role:
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.
What You'll Do:
- 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
What You'll Need:
4+ years of experience across data engineering, cloud computing, or data warehousing
- Minimum 2 years in hands-on development capacity
- 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
- Excellent communication skills with the ability to collaborate across cross-functional teams
- Experience managing client relationships at various levels
- Strong problem-solving abilities and analytical thinking
Highly Desirable:
- Consulting experience, particularly in client-facing delivery roles
- 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)
- Experience with DataOps, CI/CD practices, and infrastructure-as-code
- Knowledge of data governance, data quality frameworks, and metadata management
Benefits:
- 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
- Coaching, mentoring, and buddy scheme (for faster integration during the probationary period)
- Certification opportunities throughout your time with us
- Career growth support, internal moves, and career advancement opportunities
- Team building and networking events
Inclusion and Equal Opportunities:
We are always on the lookout for talented individuals to join our team at Billigence. We are an equal opportunity and inclusive employer and are committed to creating an inclusive environment for all applicants and employees. 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.
Got Any Questions?
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!
For any questions related to the application process, please contact
