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Join a dynamic team dedicated to leveraging data for impactful insights. We are seeking a Databricks Data Engineer to join a prominent team within a key client's Microsoft B.I. and Databricks division. This Hybrid role is based in Manchester and will afford you the chance to contribute to innovative projects that drive data-driven decision-making.

Key Responsibilities and Skills Required:
- Proficiency in Azure Databricks for data engineering tasks.
- Strong understanding of data transformation and pipeline development.
- Experience with data integration and ETL processes.
- Ability to collaborate with cross-functional teams to enhance data solutions.
- Familiarity with cloud-based data storage and processing solutions.

This is an excellent opportunity for a candidate who thrives in a collaborative environment and is eager to make a meaningful impact with their technical skills. If you are passionate about data engineering and are committed to continuous development, we invite you to apply for this role and join a team that values growth and innovation in the heart of Manchester.

Senior Data Engineer

Location: Manchester
Salary: Up to £105,000 and bonus

We are seeking an experienced Data Engineer with expertise in Databricks to join a global consultancy on a major transformation project. This is a fantastic opportunity to work on cutting-edge data solutions in a collaborative, forward-thinking environment.

About the role:

• Work with a global leader in analytics and digital transformation.
• Be part of a high-impact project driving innovation in the insurance domain.
• Enjoy a senior-level role with clear progression opportunities and exposure to strategic decision-making.
• Competitive package: Up to £105K base + bonus, plus other benefits.

What We're Looking For

• Proven experience as a Data Engineer.
• Strong hands-on expertise with Databricks.
• Insurance domain experience.
• Solid background in data management.

Senior Data Engineer

Location: Manchester
Salary: Up to £105,000 and bonus

We are seeking an experienced Data Engineer with expertise in Databricks to join a global consultancy on a major transformation project. This is a fantastic opportunity to work on cutting-edge data solutions in a collaborative, forward-thinking environment.

About the role:

• Work with a global leader in analytics and digital transformation.
• Be part of a high-impact project driving innovation in the insurance domain.
• Enjoy a senior-level role with clear progression opportunities and exposure to strategic decision-making.
• Competitive package: Up to £105K base + bonus, plus other benefits.

What We're Looking For

• Proven experience as a Data Engineer.
• Strong hands-on expertise with Databricks.
• Insurance domain experience.
• Solid background in data management.

Head of Engineering - AI‑Driven Tech Organisation - Remote

Salary: Up to £150,000
Location: Remote (UK)
Job Type: Permanent



About the Role

A rapidly scaling technology business at the forefront of AI‑assisted engineering is looking for an experienced Head of Engineering to lead three core technical areas: Web, Data, and Data Science. This role is perfect for someone excited by modern engineering practices, greenfield product development, and organisations that use AI as a core part of how they build software. If you enjoy problem‑solving in non‑traditional ways, thrive in a friendly and informal culture, and want to work with cutting‑edge AI tools (including ChatGPT and Gemini), this is an exceptional opportunity.



What You'll Be Doing

• Leading Web, Data, and Data Science teams across a large engineering organisation
• Managing multiple senior direct reports and developing strong leadership capability
• Driving engineering delivery, process quality, and technical standards
• Contributing to architectural decisions across distributed data systems, ML pipelines, and modern web applications
• Working closely with the C-suite on engineering strategy and org development
• Embedding AI‑driven development workflows (70% of code is generated using AI tools)
• Supporting the build of entirely greenfield products and systems.

Key Requirements:

• Web teams
• Data engineering teams using distributed technologies (e.g., Spark)
• Data Science / ML teams

• Leadership experience over multi‑discipline engineering teams
• Strong soft‑skills leadership: coaching, clarity, communication
• Experience in high‑growth, fast‑changing environments
• A passion for AI, experimentation, and innovative engineering approaches

Why This Role Stands Out:

• Entirely greenfield work across new products and platforms
• Ultra‑modern tech stack and engineering culture
• Company is far ahead of the industry in AI adoption
• Opportunity to work with AI tools daily
• Startup mindset