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For Permanent in London

Head of Engineering

England, London

  • £130,000 to £150,000 GBP
  • Consultant Role
  • Skills: Python, Web, Data
  • Seniority: Senior

Job description

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

Databricks Architect

England, London

  • £110,000 to £125,000 GBP
  • Consultant Role
  • Skills: Databricks Lakehouse
  • Seniority: Senior

Job description

Data Architect - Databricks - Hybrid - Up to £125,000

A leading Microsoft partnered consultancy is seeking an experienced Data Architect to design and deliver modern data solutions built on Databricks Lakehouse Architecture. You'll work with a variety of enterprise clients, helping them shape their data strategies, optimise their platforms, and unlock the full value of their data for analytics, AI, and business intelligence.

This role is based in Edinburgh, Manchester, or London with roughly one day per week in office.

About the Role

As a Data Architect, you will provide technical leadership and architectural expertise across end-to-end data programmes. You'll engage early with clients, assess their requirements, and design scalable, secure, high-performing architectures using Databricks and modern cloud technologies.



Key Responsibilities

* Architect and implement Databricks Lakehouse solutions covering ingestion, storage, processing, and analytics.
* Apply best practices to shape modern data platforms and guide clients on data strategy and governance.
* Build strong relationships with technical and business stakeholders, clearly communicating architectural decisions.
* Lead architectural engagements and ensure successful delivery of solutions on time, within scope, and to a high standard.
* Implement governance, security, and compliance controls
* Ensure data quality, lineage, and cataloguing using tools such as Unity Catalog and Microsoft Purview.
* Develop CI/CD pipelines using Databricks Repos, GitHub Actions, or Azure DevOps.
* Contribute to internal best practices, reusable architecture patterns, and Proof of Concepts.



Experience Required:

* Deep expertise in delivering enterprise-scale data analytics solutions using Databricks.
* Strong background in designing Lakehouse Architectures for structured and unstructured data.
* Solid understanding of data modelling (3NF, Kimball, Data Vault).
* Experience exposing Lakehouse architectures to tools such as Power BI and Tableau.
* Hands-on experience in Databricks engineering: Spark, Delta Lake, PySpark.
* Skilled in building scalable ETL pipelines using Workflows and Delta Live Tables.
* Proficiency in Python, Scala, or SQL.
* Knowledge of Databricks security best practices.
* Strong communication and stakeholder management skills.



What's on Offer:

* Generous annual leave
* Private medical insurance
* Wellbeing support
* Guaranteed investment in career development and training
* A high-performance culture offering progression, challenge, and meaningful impact for clients
* And more

Senior BI Developer

England, London

  • £65,000 to £80,000 GBP
  • Consultant Role
  • Skills: Fabric, Infor M3, Power BI, Data Engineering
  • Seniority: Senior

Job description

Senior BI Developer - (UK Based)

Location: United Kingdom - Remote
Salary: £80,000 + Benefits
Employment Type: Full‑time

A leading global organisation is seeking a highly skilled Senior BI Developer to join their expanding Group IT function. This is a key role within a modern, international BI landscape, where you'll lead the design, development, and optimisation of enterprise‑wide BI solutions using Microsoft Fabric, Power BI and advanced cloud‑based data engineering technologies.

About the Role

As Senior BI Developer, you'll translate complex business requirements into scalable, high‑quality BI solutions used across multiple regions. You will design and maintain enterprise data models, architect advanced Power BI solutions, and lead development within a Microsoft Fabric Lakehouse environment. This role also acts as a technical leader within the BI practice, supporting other developers and serving as the primary escalation point for advanced BI issues.


Key Responsibilities:

* Develop and maintain enterprise‑grade Power BI reports, datasets, and data models (including star schemas and dimensional models).
* Lead ETL/ELT design and optimisation within Microsoft Fabric Lakehouse, including Data Pipelines, Notebooks, and cloud‑based ingestion/transformation layers.
* Deliver complex SQL, Python, and PySpark solutions for large‑scale distributed processing.
* Coordinate workloads across BI developers and mentor junior and mid‑level team members.
* Ensure BI quality, governance, documentation, and performance standards are met.
* Collaborate with global teams on BI modernisation initiatives, ERP data projects, and multi‑region rollouts.


Skills & Experience

* Power BI (DAX, data modelling, composite models, dataset optimisation).
* Strong capability in Microsoft Fabric, including Lakehouse architecture, Data Pipelines, and Notebooks.
* Advanced SQL, T‑SQL optimisation, Python, and PySpark.
* Experience designing enterprise‑scale BI solutions in global environments.

Why Join?

* Work with cutting‑edge BI and cloud data technologies.
* Contribute to international BI modernisation and transformation programmes.
* Engage with global stakeholders and cross‑functional teams.
* Opportunities for international exposure and ongoing professional development.

New

Senior Engineering Manager

England, London

  • £90,000 to £110,000 GBP
  • Consultant Role
  • Skills: Azure, Databricks
  • Seniority: Senior

Job description

Senior Engineering Manager - Data & Digital Platforms - Up to £110,000

A large, globally distributed organisation is seeking a Senior Engineering Manager to lead multiple data and digital engineering teams delivering enterprise-scale platforms and products.

This is a senior leadership role focused on people, delivery, and operational excellence rather than hands-on coding. You will set standards, enable predictable delivery, mature engineering capability, and oversee vendor and internal teams operating across a modern Microsoft and cloud-based stack.

Key Responsibilities

* Lead globally distributed engineering teams across data platforms and low-code tools
* Create clear delivery rhythms, sprint discipline, and engineering standards
* Develop engineering leads through coaching, feedback, and capability uplift
* Oversee vendor delivery to ensure quality, value, and alignment to standards
* Champion continuous improvement across tooling, processes, and ways of working
* Support delivery across platforms including cloud data, workflow, and collaboration tools

Skills & Experience

* Extensive experience leading multi-disciplinary engineering teams
* Proven delivery leadership across multiple squads in complex environments
* Experience managing vendor and partner delivery models
* Strong understanding of modern data and platform ecosystems
* Confident supporting service operations and production environments
* Ability to build, scale, and mature high-performing engineering functions
* Strong stakeholder engagement and senior-level communication skills

Technical Environment (Exposure Required)

* Cloud data platforms (e.g. Databricks, Azure)
* DevOps and agile delivery tooling



What's on Offer

* Competitive bonus
* Strong pension contribution
* Private medical cover and wellbeing support
* Highly flexible working approach
* Significant scope to shape engineering culture and platforms

VP Trade Data Lead Business Analyst

England, London

  • £90,000 to £100,000 GBP
  • Consultant Role
  • Skills: Data Engineering
  • Seniority: Senior

Job description

VP Data Lead Business Analyst - Banking

Location: London
Salary: Up to £100,000 + bonus

A leading Bank is seeking a VP Data Lead Business Analyst to join a brand‑new function within their central data organisation. This is a strategic role positioned at the heart of the bank's data ecosystem, supporting global trading functions and driving the evolution of a key enterprise‑wide data platform.

About the Role:

You will sit within the central data team responsible for the bank‑wide data store used for all trade capture across the Investment Bank. With 70 projects running annually, this is a high‑impact, fast‑moving environment where you will work across multiple asset classes and be involved in both short‑term and long‑term transformation initiatives.

* Supporting the migration and onboarding of internal consumers onto the central data store.
* Conducting analysis on data needs, flows, and integration requirements.
* Partnering with global business and technology teams as the function scales.

Longer‑term, the team is also beginning to explore AI/ML capabilities, giving excellent exposure to emerging initiatives.

What they're Looking for:

* Experience working within Investment Banking, ideally covering Equity Derivatives, FX, Securities, or Rates.
* Strong understanding of trade lifecycle, derivatives concepts, and market data.
* Ability to work in a central data or cross‑asset environment, managing multiple stakeholders.
* A proactive, analytical mindset suited to a high‑volume project pipeline.

Why Apply:

* Join a brand‑new hire in a strategically important function.
* Step up into a VP‑level role with senior leadership visibility.
* Influence the data strategy for an Investment Bank undergoing major modernisation.
* Work across all trading areas while shaping how consumers interact with the firm's core data platform.

New

Data Science Engineer

England, London

  • £60,000 to £80,000 GBP
  • Consultant Role
  • Skills: AWS, Machine Learning, Azure
  • Seniority: Mid-level

Job description

Data Science Engineer (DV Cleared)

Location: London or Manchester
Security Clearance: DV Cleared
Salary: Up to £80,000

An exciting opportunity has arisen for a Data Science Engineer to support a growing Data Science function within a major public sector programme. You'll be working on the design and development of robust data processing systems that underpin analytics, data science and machine learning use cases.

This role offers the chance to work on complex data platforms while collaborating with data scientists, engineers and stakeholders in a highly skilled multidisciplinary environment.



What You'll Be Doing:

* Designing, building and maintaining scalable data processing and integration services
* Supporting Data Science and Machine Learning workloads through well‑engineered software solutions
* Developing high‑quality, testable code using modern engineering practices
* Working within secure cloud‑hosted environments
* Collaborating closely with technical and non‑technical stakeholders



What We're Looking For

Essential:

* Strong interest in data, particularly Data Science and Machine Learning
* Solid software engineering background with experience in Java, Python or TypeScript
* Hands‑on experience with cloud platforms
* DV Clearance in place



Location & Working Pattern:

* Candidates must be aligned to either London or Manchester
* Hybrid working
* On‑site attendance is required to meet client needs





Benefits Package:

* 9% non‑contributory pension
* Private healthcare
* 25 days annual leave
* Life insurance
* And more



If you're a DV‑cleared engineer passionate about data‑driven systems and keen to work on meaningful public sector programmes, this role offers both technical challenge and long‑term development.