At a Glance
- Tasks: Design and develop scalable data solutions for top organisations using modern cloud platforms.
- Company: Join Billigence, a global boutique data consultancy transforming data work.
- Benefits: Enjoy hybrid work, competitive pay, bonuses, and career growth opportunities.
- Other info: Diverse team culture with mentoring and networking events.
- Why this job: Make an impact with cutting-edge tech while enhancing your consulting skills.
- Qualifications: 4+ years in data engineering with strong SQL and cloud platform experience.
The predicted salary is between 60000 - 80000 £ per year.
Location: London, UK Hybrid, Flexible 1-2 days per week on site
Contract Type: Permanent | Full-time
Start Date: ASAP
About Billigence
Billigence is a boutique data consultancy with global outreach & clientele, transforming the way organisations work with data. We leverage proven, cutting‑edge technologies to design, tailor, and implement advanced Business Intelligence solutions across Cloud Data Warehousing, Visualisation, Data Science, Data Engineering, and 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’re hiring a Data Engineer Consultant to join our growing London practice. You’ll work across a mix of client engagements and internal initiatives, building modern cloud data solutions for some of the most recognisable organisations in the UK and Europe. This is a great fit for a technically strong, hands‑on data engineer who wants to broaden their delivery experience, work across multiple cloud platforms, and develop the consulting and stakeholder skills that come with client‑facing work.
What You’ll Do
- Design, develop, and deliver scalable data pipelines and integrations on modern cloud data platforms
- Build and optimise ETL/ELT solutions, applying best practices in data modelling and architecture
- Partner with client teams to translate business requirements into tailored data solutions
- Work hands‑on across Snowflake, Databricks, AWS, Azure, or similar environments
- Contribute to internal initiatives focused on capability development, tooling, and process improvement
- Engage with stakeholders to influence technical direction and project outcomes
What You’ll Bring
- 4+ years of data engineering experience, with at least 2 years hands‑on across modern data platforms
- Strong SQL, data modelling, and query optimisation skills
- Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric
- Solid grounding in ETL/ELT pipelines and data warehousing principles
- Strong communication and problem‑solving skills
- Comfortable working both independently and as part of a client‑facing team
Nice to Have
- Prior consulting or client‑facing delivery experience
- Familiarity with dbt, Fivetran, Matillion, or similar tooling
- Programming in Python, Java, or Scala
- Cloud certifications (SnowPro, Databricks Certified, AWS / Azure / GCP)
- Exposure to DataOps, CI/CD, and infrastructure‑as‑code
Benefits
- Hybrid/remote working environment for flexible work‑life balance
- Competitive compensation package + performance bonus
- Referral bonus scheme
- Coaching, mentoring, and buddy scheme
- Certification opportunities throughout your time with us
- Career growth support, internal moves, and advancement opportunities
- Team building and networking events
Diversity & Inclusion
At Billigence, we believe great data teams are built from diverse perspectives. We welcome applications from all qualified candidates regardless of background, identity, or circumstances.
Data Engineering Consultant employer: Billigence
Billigence is an exceptional employer that fosters a dynamic and inclusive work culture, offering flexible hybrid working arrangements to support a healthy work-life balance. With a strong focus on employee growth, we provide extensive coaching, mentoring, and certification opportunities, ensuring that our Data Engineering Consultants can thrive in their careers while working on impactful projects for renowned clients across the UK and Europe.
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We think this is how you could land Data Engineering Consultant
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We think you need these skills to ace Data Engineering Consultant
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
