At a Glance
- Tasks: Design and implement scalable data solutions using modern cloud platforms.
- Company: Join Billigence, a global boutique data consultancy transforming data usage.
- Benefits: Flexible hybrid work, competitive pay, performance bonuses, and career growth support.
- Other info: Inclusive workplace with mentoring, networking events, and certification opportunities.
- Why this job: Work on cutting-edge data projects with blue-chip clients and drive digital transformation.
- Qualifications: 4+ years in data engineering, expertise in cloud platforms, and strong SQL skills.
The predicted salary is between 28800 - 48000 £ per year.
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 projects, supporting pre‑sales, and leading some of our internal initiatives 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 optimisation
- 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
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. 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!
Data Engineer employer: Billigence
Billigence is an exceptional employer that fosters a dynamic and inclusive work culture, offering flexible hybrid/remote working arrangements to ensure a healthy work-life balance. With a strong focus on employee growth, we provide comprehensive coaching, mentoring, and certification opportunities, empowering our team members to excel in their careers while working on innovative data projects for prestigious clients across various industries. Join us in Sydney, where you can thrive in a collaborative environment that values diversity and encourages professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. Attend industry meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data projects, especially those that highlight your experience with cloud platforms and ETL processes. This will give you an edge when chatting with recruiters or during interviews.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how you've tackled challenges, as this will help you stand out as a candidate who can drive innovation.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about data. Plus, it gives you a better chance to showcase your enthusiasm for joining our team at Billigence.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Engineer role. Highlight your expertise in cloud data platforms and any relevant projects you've worked on, as this will catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our team. Share specific examples of your past work that demonstrate your problem-solving abilities and technical skills.
Showcase Your Technical Skills:Don’t shy away from listing your technical proficiencies, especially in SQL, ETL processes, and any programming languages you know. We love seeing candidates who are up-to-date with modern data tools and practices!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Billigence
✨Know Your Data Tools
Make sure you brush up on your knowledge of modern cloud data platforms like Snowflake, Databricks, or AWS Redshift. Be ready to discuss how you've used these tools in past projects and how they can be applied to the role at Billigence.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering and how you tackled them. Highlight your analytical thinking and problem-solving abilities, as these are crucial for the role.
✨Communicate Effectively
Since you'll be collaborating with cross-functional teams, practice articulating your thoughts clearly. Think about how you can explain complex data concepts in a way that non-technical stakeholders can understand.
✨Understand the Company Culture
Familiarise yourself with Billigence's values and their approach to data consultancy. Show enthusiasm for their commitment to innovation and client success, and be prepared to discuss how you can contribute to their inclusive environment.
