Data Engineering Consultant

Billigence Asia Pte. Ltd.; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid work

Competitive pay

Referral bonus

Coaching & mentoring

Certifications

Career growth

Team events

Job summary

Billigence is hiring a Data Engineer Consultant to join our London practice, delivering modern cloud data solutions for UK and European clients. You will work across Snowflake, Databricks, AWS/Azure, and contribute to internal capability development, tooling, and stakeholder engagement.

This role offers hybrid/remote options and a path to broaden consulting and data engineering delivery skills.

Qualifications

• 4+ years of data engineering experience in modern cloud environments.
• Strong SQL, data modelling, and query optimisation skills.
• Hands-on experience with Snowflake, Databricks, and data warehousing.
• Experience with ETL/ELT pipelines and cloud platforms.
• Excellent communication and client-facing collaboration.

Responsibilities

• Design, develop, and deliver scalable data pipelines on cloud platforms.
• Build and optimise ETL/ELT solutions with good data modelling.
• Translate business requirements into data solutions for clients.
• Work hands-on across Snowflake, Databricks, AWS, Azure, or similar environments.
• Contribute to internal tooling, capability development, and processes.
• Engage with stakeholders to influence project outcomes.

Skills

Data engineering

SQL

Data modelling

Query optimisation

Client-facing

Communication

Tools

Snowflake

Databricks

AWS Redshift

Microsoft Fabric

dbt

Fivetran

Matillion

Python

Java/Scala

Job description

Data Engineer Consultant — Billigence

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.