At a Glance
- Tasks: Design and implement scalable data solutions using modern cloud platforms.
- Company: 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: Join innovative projects and make a real impact in diverse industries.
- Qualifications: 4+ years in data engineering with expertise in cloud platforms and SQL.
The predicted salary is between 50000 - 70000 € per year.
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 projects, supporting pre-sales as well as 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 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!
Data Engineer in Slough employer: Billigence
Billigence is an exceptional employer that fosters a dynamic and inclusive work culture, offering flexible hybrid working arrangements to ensure a healthy work-life balance. With a strong focus on employee growth, we provide ample opportunities for professional development through coaching, mentoring, and certification programs, all while working on innovative data projects with prestigious clients across various industries. Join us in our Sydney headquarters or from anywhere around the globe, and be part of a team that values collaboration, technical excellence, and continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Slough
✨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. You never know who might have a lead or can refer you to someone at Billigence.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data projects, especially those involving cloud platforms like Snowflake or Databricks. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with ETL processes and data pipeline architecture, as these are key areas for a Data Engineer role.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining the Billigence team.
We think you need these skills to ace Data Engineer in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with cloud data platforms and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention any consulting experience or client-facing roles you've had.
Showcase Your Technical Skills:Don't forget to showcase your technical skills in SQL, ETL/ELT processes, and any programming languages you know. We love seeing specific examples of how you've used these skills in past projects!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Billigence
✨Know Your Tech Inside Out
Make sure you’re well-versed in the cloud data platforms mentioned in the job description, like Snowflake or Databricks. Brush up on your SQL skills and be ready to discuss ETL/ELT processes, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in previous roles. Be ready to explain your thought process and the impact of your solutions, as this will demonstrate your analytical thinking and problem-solving abilities.
✨Communicate Effectively
Since the role involves collaborating with cross-functional teams, practice articulating your ideas clearly. Think about how you can explain technical concepts to non-technical stakeholders, as strong communication skills are key.
✨Research Billigence and Its Clients
Familiarise yourself with Billigence’s work and its clientele. Understanding their industries and challenges will help you tailor your responses and show that you’re genuinely interested in contributing to their success.
