Data Engineer (MS Fabric) – Perm – Hybrid London

Infused Solutions; London; Hybrid; GBP 60,000 - 70,000; Full time

Job summary

An innovative firm is seeking a Senior Data Engineer to shape the future of data solutions. In this hybrid role, you will leverage Microsoft Fabric and Azure to design and build advanced data architectures while mentoring junior engineers. Your expertise in SQL, Python, and modern data platforms will be crucial as you collaborate with cross-functional teams to implement best practices. This position offers a unique opportunity to influence data strategies and drive innovation in a dynamic environment. If you're passionate about data and eager to make an impact, this is the perfect opportunity for you.

Qualifications

• Design and build data solutions using Microsoft Fabric and Azure.
• Mentor junior engineers and drive best practices.

Responsibilities

• Lead the development of cutting-edge data solutions.
• Collaborate with technical and business teams.

Skills

SQL

Python

Azure Data Factory

ETL/ELT

Data Lakes

Data Modelling

Data Governance

Agile

DevOps

APIs

Microservices

Tools

Microsoft Fabric

Azure

Synapse

Spark

Kafka

Snowflake

Git

Job description

Senior Data Engineer (Microsoft Fabric)
Permanent |
London (Hybrid – 2 days onsite) |
£60k-£70k |
No sponsorship

Our client is shaping the future of data and they need a Senior Data Engineer to help lead the way!

You’ll design and build cutting-edge data solutions using Microsoft Fabric and Azure, working closely with technical and business teams. You’ll also mentor junior engineers and drive best practices across modern data platforms.

Hands-on with Azure Data Factory, Synapse, and Fabric
Strong SQL & Python skills
Experience across ETL/ELT, data lakes, modelling, and governance
Exposure to Spark, Kafka, or Snowflake a plus
Agile/DevOps mindset and experience with Git, APIs, microservices

Bonus:
DP-203 or Fabric Analytics certification highly desirable.

Important: Must have the right to work in the UK – no sponsorship offered.

Ready to build the future of data? Apply now!