Data Engineering Consultant

Posted 5 Days Ago
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London, Greater London, England, GBR
Hybrid
Mid level
Information Technology • Consulting
The Role
Design and deliver scalable cloud data pipelines, ETL/ELT and data warehousing solutions. Work hands-on in Snowflake, Databricks and cloud platforms, translate business requirements into technical designs, optimise queries, and engage with stakeholders across client projects and internal initiatives.
Summary Generated by Built In

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.

Interested?

If you're a data engineer ready to take the next step into consulting and work on impactful cloud data projects across the UK and EMEA, we'd love to hear from you. Apply via LinkedIn with your CV and earliest availability.

Skills Required

  • 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
  • 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
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The Company
Bengaluru, Karnataka
198 Employees
Year Founded: 2009

What We Do

We are headquartered in Sydney, Australia, with offices in Europe (London, Prague, Frankfurt, Stockholm, Warsaw), Bangalore, Singapore, New Zealand & United States. Billigence is a BI Consultancy and contingent labour service company with a growing customer base of large corporations across different industries as well as young and agile internet-based businesses. We help organisations big and small build scalable AI solutions that drive value by enhancing their data governance, aligning strategy and empowering their people. As a company we source and hire innovative data enthusiasts and believe data is the most powerful asset of today's businesses. That is why at Billigence, we are helping our clients to drive the business value of their data. We do this through our data proposition comprising of data consolidation and enrichment, data visualisation and analytics and data governance components. We deliver market leading recruitment services for temporary and contract labour hires to supplement our clients workforces. Our vision is to become leaders in helping companies to transform into digital age and reach their full potential by leveraging the power of their data. Billigence also leverages partnerships with some of the world’s most innovative data companies such as Snowflake, Collibra, Alteryx, Salesforce, Tableau, dbt Labs, H2O.ai, Matillion, Google Cloud Platform, Microsoft, Keboola & others

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