Full job description

Location: Hybrid - London

Salary: Up to £60,000

We're working with a growing technology consultancy looking for an experienced Data Engineer to design and deliver modern Azure-based data solutions for a range of enterprise clients.

This is a customer-facing role where you'll work closely with clients to build scalable, secure data platforms while collaborating with a talented engineering team. You'll also have the opportunity to mentor junior engineers and progress into technical architecture or leadership roles.

Key Responsibilities

Design, develop and maintain data pipelines using Azure Data Factory and Azure Databricks.
Build data models and analytics solutions using Synapse Analytics and Azure Data Lake Storage.
Develop and optimise ETL/ELT processes.
Work directly with clients to understand requirements and deliver robust data solutions.
Troubleshoot data issues and ensure solutions are secure, scalable and high performing.
Mentor junior engineers and contribute to technical best practices.

About You

You'll have:

Strong experience with Microsoft Azure Data Engineering.
Hands-on expertise with Azure Data Factory, Databricks, Synapse Analytics and Data Lake Storage.
Development experience in Python, Scala or SQL.
Knowledge of data modelling and analytics solutions.
Excellent communication skills and experience working in a client-facing environment.
A proactive approach with strong problem-solving skills.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities