Senior Data Engineering Consultant - £60,000 - Hybrid

Tenth Revolution Group; City Of London; Hybrid; GBP 60,000; Full time

Job summary

A technology consulting firm in London is seeking a Senior Data Engineering Consultant to lead technical teams and design scalable data solutions. The role offers a competitive salary of £60,000 in a hybrid working environment. The ideal candidate should have extensive experience in Data Engineering, particularly with Microsoft tools. Responsibilities include managing workflows, collaborating with various teams, and ensuring best practices are followed.

Qualifications

• Strong leadership and relationship-building skills.
• Experience guiding or managing technical teams.
• Deep hands-on experience in Data Engineering.

Responsibilities

• Lead, mentor, and develop a team of Technical Consultants.
• Manage resource planning and overall delivery workflows.
• Collaborate with teams to scope and deliver projects.

Skills

Leadership skills

Experience in Data Engineering

Expertise in SQL

Proficiency in Python

Tools

Azure Databricks

Microsoft Fabric

SQL Server

Job description

Senior Data Engineering Consultant - £60,000 - Hybrid

Key Responsibilities

• Lead, mentor, and develop a team of Technical Consultants.
• Manage resource planning, scheduling, and overall delivery workflows.
• Collaborate with Pre-sales, Commercial, and Project Management teams to scope and deliver projects.
• Contribute to technical delivery, designing scalable data solutions in Azure/Microsoft environments.
• Support cloud migrations, data lake builds, and ETL/ELT pipeline development.
• Ensure delivery follows best practices and internal standards.

Skills & Experience

• Strong leadership and relationship-building skills.
• Experience guiding or managing technical teams.
• Deep hands‑on experience in Data Engineering using Microsoft Fabric, Azure Databricks, Synapse, Data Factory, and/or SQL Server.
• Expertise in SQL and Python for ETL/ELT development.
• Knowledge of data lakes, medallion lakehouse architecture, and large‑scale dataset management.
• Solid understanding of BI, data warehousing, and database optimisation.

To apply for this role please submit your CV or contact Dillon Blackburn (see below)