Data Consultant

Lynx Recruitment Ltd

City Of London

On-site

GBP 50,000 - 75,000

Full time

7 days ago
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Job summary

Lynx Recruitment Ltd is seeking a Data Consultant to join our team and drive strategic data initiatives across cloud platforms and digital transformation programmes. You will work closely with clients to understand requirements, shape delivery roadmaps, and translate business needs into scalable data solutions.

Key responsibilities include solution architecture and technical design, building production-grade data platforms, and designing lakehouse and ELT architectures, data models, pipelines

Qualifications

  • 2-4 years' experience in data engineering and/or analytics.
  • Client-facing or consulting experience.
  • Strong SQL and Python skills.
  • Experience with AWS, GCP or Azure.
  • Understanding of data quality, governance, observability and dimensional modelling.

Responsibilities

  • Supporting solution architecture and technical design.
  • Building scalable, production-grade data platforms.
  • Designing modern lakehouse and ELT architectures.
  • Developing data models, pipelines and semantic layers.
  • Working directly with clients to understand requirements and shape delivery roadmaps.

Skills

SQL
Python
Data platforms
Client-facing
Consulting

Tools

AWS
GCP
Azure
Lakehouse

Job description

We are looking for a Data Consultant to join our team and work on strategic data initiatives across cloud platforms and digital transformation programmes.

What you'll be doing
  • Supporting solution architecture and technical design
  • Building scalable, production-grade data platforms
  • Designing modern lakehouse and ELT architectures
  • Developing data models, pipelines and semantic layers
  • Working directly with clients to understand requirements and shape delivery roadmaps
What we're looking for
  • 2-4 years' experience in data engineering and/or analytics
  • Client-facing or consulting experience
  • Strong SQL and Python skills
  • Experience with AWS, GCP or Azure
  • Understanding of data quality, governance, observability and dimensional modelling
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