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- Tasks: Design and implement scalable data solutions using modern cloud platforms.
- Company: Join Billigence, a global boutique data consultancy transforming data usage.
- Benefits: Enjoy hybrid work, competitive pay, bonuses, and career growth support.
- Other info: Inclusive environment with team-building events and mentoring opportunities.
- Why this job: Work on cutting-edge data projects with blue-chip clients across various industries.
- Qualifications: 4+ years in data engineering and expertise in cloud data platforms required.
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! For any questions related to the application process, please contact UK.Recruitment@Billigence.com
Data Engineer in City of London employer: Billigence
Contact Detail:
Billigence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, attend industry meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving cloud data platforms like Snowflake or Databricks. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with ETL processes and data pipeline architecture, and don’t forget to highlight your problem-solving abilities!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Billigence and working on exciting data projects.
We think you need these skills to ace Data Engineer in City of London
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. We love seeing enthusiasm and a bit of personality in applications.
Showcase Your Technical Skills: Don’t forget to mention your technical expertise, especially in SQL, ETL processes, and any programming languages you know. We’re keen on candidates who can demonstrate their hands-on experience with modern data tools.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re serious about joining our team!
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 or Databricks. Be ready to discuss your hands-on experience with these tools and how you've used them to solve real-world problems.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your analytical thinking and problem-solving abilities. Think of specific challenges you've faced in previous roles and how you overcame them, especially in data engineering contexts.
✨Communicate Effectively
Since the role involves collaborating with cross-functional teams, practice articulating your thoughts clearly. Be prepared to explain complex data concepts in a way that non-technical stakeholders can understand.
✨Understand Client Needs
Research Billigence's clientele and industries they serve. During the interview, demonstrate your understanding of their business challenges and how your skills can help address those needs, showing that you're not just a techie but also a strategic partner.