Recherche actuelle

Head of Engineering - Permanent

Location: Remote
Reports to: CTO

A fast‑growing technology company is seeking a Head of Engineering with deep experience building and scaling complex, data‑driven platforms. This role requires someone who can lead multi‑disciplinary teams, improve engineering execution, and drive technical excellence across high‑scale distributed systems and machine‑learning environments.

Required Experience

* Leadership of engineering organisations of 20 or more across multiple disciplines, including backend, web, data, ML, QA, and DevOps.
* Proven track record designing, scaling, and maintaining distributed systems and high‑volume data pipelines.
* Strong background in cloud‑native architectures and modern data stacks such as Spark or Databricks.
* Experience working closely with Data Science teams, including delivering production‑grade ML models and pipelines.
* Solid understanding of modern frontend engineering practices (e.g., TypeScript, React) to guide cross‑functional technical decisions.
* Robust DevOps knowledge, including CI/CD pipelines, container orchestration, monitoring, reliability engineering, and cloud infrastructure management (AWS preferred).
* Demonstrated ability to balance delivery speed with long‑term technical quality, reliability, and maintainability.
* Experience hiring, mentoring, and developing engineering leaders and high‑performing teams.

Role Overview

You will own engineering execution for a platform that processes large datasets, supports distributed computation, and integrates machine‑learning capabilities at scale. The engineering organisation already uses AI‑assisted development, and you will refine these practices, improve delivery predictability, and strengthen the technical foundation for long‑term growth.

Responsibilities

* Lead the engineering roadmap and technical execution across all product and platform teams.
* Guide architectural decisions in data engineering, ML, and web application development.
* Implement engineering KPIs to improve delivery speed, quality, and reliability.
* Develop a strong engineering culture centred on ownership, collaboration, and high performance.
* Partner with Product, Data Science, and DevOps to deliver high‑quality, scalable solutions.
* Manage engineering budgets, tooling, and cloud infrastructure costs.

Preferred

* Experience in search, advertising technology, or competitive intelligence.
* Familiarity with ML lifecycle tooling and agentic coding approaches.

Please send me a copy of your CV of you meet all of the above

Unlock your potential as an AV

AI Engineer

Location: London
Salary: £105,000

Are you an experienced engineer with hands‑on expertise in Python, LLMs, and modern cloud technologies? We're looking for a Lead Engineer to join a high-impact Generative AI feature team, building applications used by thousands of colleagues daily. This is a unique opportunity to drive AI innovation at scale within a highly regulated environment.



About the Role

As a Lead Engineer, you will design, develop, and enhance software solutions using modern engineering practices. You'll act as an SME within the Generative AI domain, shaping technical direction, guiding others, and influencing both strategy and implementation.

You will lead a small team, provide mentorship, conduct code reviews, and drive a culture of technical excellence. This role offers a blend of hands-on engineering, leadership, and strategic input - perfect for someone ready to step into a high-ownership position.



Key Responsibilities:

* Build high‑quality, scalable, maintainable Python-based applications.
* Develop and deploy AI-driven applications, including those using LLMs.
* Collaborate closely with product, design, and engineering teams.
* Contribute to solution design, architecture, and secure coding practices.
* Drive testing best practices and ensure repeatable, reliable deployments.

* Mentor and guide junior engineers; support ongoing capability development.
* Lead technical discussions, code reviews, and cross-functional collaboration.
* Influence decision‑making and contribute to policy/standards.
* Support risk management, governance, and control requirements.

* Contribute to the organisation's Generative AI strategy as a subject matter expert.
* Analyse complex, multi-source data to inform design and decision‑making.
* Communicate complex or sensitive information clearly to senior stakeholders.



Required Experience

To succeed in this role, you should have strong hands-on capability in:

* Python
* Working with Large Language Models (LLMs)
* Cloud technologies, ideally AWS (Bedrock, Lambda, S3, Lex, CloudWatch)
* Prompt optimisation and evaluation methodologies
* Strong communication skills, especially in cross-functional environments
* Mentoring, coaching, or guiding other engineers

Data Architect - Databricks (Hybrid, UK)
Locations: London, Manchester, or Edinburgh
Hybrid: 2-3 days per week on-site
Salary: Competitive (Manager & Senior Manager grades available)

About the Role
We are seeking an experienced Data Architect with deep expertise in Databricks to help our clients design, build, and scale modern data platforms. You will play a pivotal role in shaping Lakehouse architectures that enable advanced analytics, AI/ML, and enterprise-wide data-driven decision-making.
Working closely with clients early in their data journey, you will assess business needs, define architectural direction, and guide the implementation of robust, secure, and scalable solutions. This is a hands-on architecture role suited to someone who has spent the last 2-3 years working directly with Databricks at an architectural level and is ready to progress towards programmes such as the Databricks DPP.

Key Responsibilities
* Architect and implement Databricks Lakehouse solutions across ingestion, processing, storage, and analytics layers.
* Recommend best practices and innovative approaches for modern data platforms.
* Build strong client relationships and confidently present architectural decisions to senior stakeholders.
* Shape client data strategies and promote governance, quality, and security standards.
* Lead architectural engagements and ensure delivery within scope, budget, and timelines.
* Optimise Databricks workloads for performance, scalability, and cost efficiency.
* Implement governance and compliance frameworks using Unity Catalog, Purview, and cloud-native controls.
* Develop CI/CD pipelines using Databricks Repos, GitHub Actions, or Azure DevOps.
* Contribute to RFI/RFP responses and deliver innovative Proofs of Concept.
* Support the internal Architecture Practice by developing reusable patterns and accelerators.

Skills & Experience
* Proven experience delivering enterprise-scale Databricks solutions end-to-end.
* Strong background in Lakehouse Architecture, including structured and unstructured data.
* Expertise in Spark, PySpark, Delta Lake, and Databricks workflows.
* Experience building scalable ETL/ELT pipelines, including Delta Live Tables.
* Strong programming skills in Python, Scala, or SQL.
* Solid understanding of data modelling (3NF, Kimball, Data Vault).
* Experience integrating Lakehouse architectures with BI tools such as Power BI and Tableau.
* Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP) and understanding of Databricks implications across each.
* Knowledge of Databricks security best practices (RBAC, IAM, encryption).
* Excellent communication, stakeholder engagement, and problem-solving skills.

Highly Valued Certifications
* Databricks Certified Data Engineer (Associate/Professional)
* Databricks Certified Machine Learning (Associate/Professional)
* Databricks Generative AI Fundamentals
* Databricks Lakehouse Fundamentals

Why Join Us?
* Generous annual leave and private medical insurance.
* Strong focus on wellbeing and personal development.
* A culture that rewards high performance and nurtures talent.
* Opportunities to work on impactful client projects and drive meaningful change.
* Supportive environment with investment in certifications and career progression.

Additional Information
* This role is fully signed off and part of a growing Databricks capability.
* Candidates must be willing to travel between UK offices when required.
* Suitable for individuals with strong architectural experience rather than purely engineering backgrounds.

Please can you send me a copy of your CV if you're interested

Data Architect - Databricks (Hybrid, UK)
Locations: London, Manchester, or Edinburgh
Hybrid: 2-3 days per week on-site
Salary: Competitive (Manager & Senior Manager grades available)

About the Role
We are seeking an experienced Data Architect with deep expertise in Databricks to help our clients design, build, and scale modern data platforms. You will play a pivotal role in shaping Lakehouse architectures that enable advanced analytics, AI/ML, and enterprise-wide data-driven decision-making.
Working closely with clients early in their data journey, you will assess business needs, define architectural direction, and guide the implementation of robust, secure, and scalable solutions. This is a hands-on architecture role suited to someone who has spent the last 2-3 years working directly with Databricks at an architectural level and is ready to progress towards programmes such as the Databricks DPP.

Key Responsibilities
* Architect and implement Databricks Lakehouse solutions across ingestion, processing, storage, and analytics layers.
* Recommend best practices and innovative approaches for modern data platforms.
* Build strong client relationships and confidently present architectural decisions to senior stakeholders.
* Shape client data strategies and promote governance, quality, and security standards.
* Lead architectural engagements and ensure delivery within scope, budget, and timelines.
* Optimise Databricks workloads for performance, scalability, and cost efficiency.
* Implement governance and compliance frameworks using Unity Catalog, Purview, and cloud-native controls.
* Develop CI/CD pipelines using Databricks Repos, GitHub Actions, or Azure DevOps.
* Contribute to RFI/RFP responses and deliver innovative Proofs of Concept.
* Support the internal Architecture Practice by developing reusable patterns and accelerators.

Skills & Experience
* Proven experience delivering enterprise-scale Databricks solutions end-to-end.
* Strong background in Lakehouse Architecture, including structured and unstructured data.
* Expertise in Spark, PySpark, Delta Lake, and Databricks workflows.
* Experience building scalable ETL/ELT pipelines, including Delta Live Tables.
* Strong programming skills in Python, Scala, or SQL.
* Solid understanding of data modelling (3NF, Kimball, Data Vault).
* Experience integrating Lakehouse architectures with BI tools such as Power BI and Tableau.
* Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP) and understanding of Databricks implications across each.
* Knowledge of Databricks security best practices (RBAC, IAM, encryption).
* Excellent communication, stakeholder engagement, and problem-solving skills.

Highly Valued Certifications
* Databricks Certified Data Engineer (Associate/Professional)
* Databricks Certified Machine Learning (Associate/Professional)
* Databricks Generative AI Fundamentals
* Databricks Lakehouse Fundamentals

Why Join Us?
* Generous annual leave and private medical insurance.
* Strong focus on wellbeing and personal development.
* A culture that rewards high performance and nurtures talent.
* Opportunities to work on impactful client projects and drive meaningful change.
* Supportive environment with investment in certifications and career progression.

Additional Information
* This role is fully signed off and part of a growing Databricks capability.
* Candidates must be willing to travel between UK offices when required.
* Suitable for individuals with strong architectural experience rather than purely engineering backgrounds.

Please can you send me a copy of your CV if you're interested

Azure Databricks Engineer
Lloyd's of London Market

Hybrid 2 days in London Office

We are seeking an outstanding Lead Azure Databricks Engineer to own the design, build, optimisation and governance of our enterprise cloud data platforms. This is a senior, fully hands‑on engineering position requiring deep technical expertise, strong delivery capability and experience operating within the Lloyd's of London market and its regulatory demands.

You will shape the future of our cloud data strategy, enabling advanced analytics and building secure, scalable and highly performant data solutions across the organisation.

Key Responsibilities

* Lead the development, optimisation and governance of large‑scale data platforms using Azure Data Factory, Data Lake, Key Vault, Azure Functions, Databricks, Delta Lake, PySpark and Unity Catalog
* Partner closely with underwriting, actuarial, delegated authority, bordereaux, exposure management, reinsurance, finance, Solvency II and risk teams to deliver solutions aligned to Lloyd's of London regulatory and operational requirements
* Translate complex business needs into scalable cloud data architectures in partnership with architects, SMEs and product owners
* Resolve complex technical challenges rapidly and decisively, consistently delivering high‑quality outcomes
* Champion engineering best practices including design patterns, data lifecycle management, CI/CD automation and cloud‑native methodologies
* Provide hands‑on technical leadership, mentorship and uplift engineering capability across the team
* Drive continuous improvement across performance, cost optimisation, reliability and resilience
* Oversee end‑to‑end data engineering delivery ensuring quality, observability, robustness and compliance

Required Experience and Skills

* Expert‑level knowledge of Azure Data Services and Databricks within enterprise environments
* Deep understanding of Delta Lake, Medallion architecture, distributed compute, Lakehouse patterns, data modelling and performance optimisation
* Strong Python, PySpark and SQL experience, with hands‑on implementation of CI/CD for data solutions using Azure DevOps
* Strong understanding of data governance, lineage, access management, FinOps and secure cloud engineering
* Excellent communication skills with the ability to confidently engage senior stakeholders and simplify complex technical concepts
* Proven ability to take ownership, deliver at pace and operate effectively in high‑pressure, high‑expectation environments
* Experience working within or delivering solutions for the Lloyd's of London market or similarly regulated environments

Please send me a copy if your CV if you're interested

Senior Sales Executive - Data & Analytics

London - Hybrid - Data Engineering & Analytics - Cloud Platforms (Azure, AWS, Snowflake, Databricks) £80k - £100k



Join a high‑growth, high‑impact data consultancy

A leading provider of data engineering, analytics, cloud data platforms, and AI‑driven solutions, this organisation partners with mid‑market and enterprise businesses across the UK to help them modernise, transform, and unlock the real value of their data.

If you're a motivated sales professional who thrives in a fast‑moving, high‑demand environment, this is the ideal place to excel. You'll benefit from the support of world‑class pre‑sales specialists, solution architects, and delivery teams-allowing you to focus on building relationships, driving revenue, and securing exciting new projects.

This is an opportunity where you can truly make your mark, develop your career, and sell services that clients actively need and value.



You'll work with:

In this role, you will be responsible for:

* Developing new business opportunities across mid‑market and enterprise clients.
* Managing the full sales lifecycle, supported by strong pre‑sales and delivery teams.
* Building and nurturing a healthy sales pipeline aligned to revenue targets.
* Owning and expanding existing accounts through upsell and cross‑sell opportunities.
* Engaging with senior stakeholders such as Heads of Data, Analytics Managers, and IT Directors.
* Delivering presentations, solution workshops, proposals, and client discussions.
* Collaborating closely with marketing, pre‑sales, onshore and offshore delivery teams.
* Maintaining accurate forecasting, CRM activity, and reporting.




Benefits

What's on offer:

* Competitive salary with performance‑based commissions.
* Opportunity to sell high‑demand services in data engineering, analytics, and AI.
* Strong pre‑sales and delivery support so you can focus on client engagement.
* Clear pathways for career growth and continuous learning.
* Exposure to leading UK mid‑market and enterprise clients.


Key Experience

We're looking for candidates with:

* 5-7 years of B2B sales experience in Data, Analytics, Cloud, or Digital Services.
* Experience selling consulting or managed services.
* Strong understanding of modern data engineering and cloud platforms (Azure, AWS, Snowflake, Databricks - high‑level).
* Excellent communication and stakeholder management skills.
* Experience working with pre‑sales and offshore delivery models (desirable).
* Exposure to enterprise or mid‑market clients within sectors such as Insurance, Public Sector, or BFSI (desirable).


Ready to take the next step in your sales career?

This is a high‑impact role in a rapidly growing organisation, don't miss the chance to be part of a leading force in the UK's data and analytics landscape.

Data Engineer - Azure | Databricks / Fabric - Remote - £50k-£65k

I'm currently supporting one of the UK's fastest-growing Microsoft data consultancies as they continue to scale their team. If you're a Data Engineer who wants to work on modern Azure projects, next‑gen lakehouse architectures, and large-scale transformation programmes, this one is worth a look.

This consultancy is known for investing heavily in their people, offering real progression pathways, and giving engineers the chance to take ownership of meaningful, enterprise-grade work.

If you're looking for a role where you can grow quickly and make a real impact, this could be a great fit.



What You'll Be Doing

In this role, you'll be central to designing and delivering modern data solutions for a range of clients:

* Architect and deliver scalable data solutions using Databricks, Synapse, and Microsoft Fabric
* Build and optimise ETL/ELT pipelines and high-quality data models using SQL & Python
* Develop Power BI dashboards that support insight-led decision-making
* Implement data lakes and medallion lakehouse architectures
* Apply strong standards around data quality, governance, and security
* Work collaboratively in Agile, cross-functional teams
* Support major cloud migration and modernisation initiatives



What's In It for You

* High-Growth Environment: You'll work with cutting-edge Microsoft technologies on impactful projects across multiple industries.



* Career Development: The business actively funds certifications, structured training programmes, and clear progression opportunities.



* Fully Remote: Work from anywhere in the UK, travel is only required occasionally and covered by the company.



You'll be a great fit if you have:

* Strong experience with Azure Synapse, Databricks, or Microsoft Fabric
* Solid SQL & Python skills for ETL/ELT development
* Experience working with data lakes and large datasets
* A good understanding of BI, data warehousing, and modern data architectures



Interested?

This team is one of the most in-demand in the Microsoft data space, and roles with them don't stay open for long.

If you'd like to explore the opportunity, apply now!

Data Engineer - Databricks / Fabric - Azure - Hybrid - London - £50k-£65k

Are you ready to take your Data Engineering career to the next level? Join one of the UK's fastest-growing consultancies and work on cutting-edge Azure projects, next-gen lakehouse architectures, and enterprise-scale transformation programmes that truly make an impact.

This is more than just a job, it's a chance to own meaningful projects, accelerate your growth, and become part of a team that's shaping the future of data engineering.



Why This Role Stands Out

* Modern Tech Stack: Work hands-on with Azure Synapse, Databricks, and Microsoft Fabric on innovative solutions.
* Enterprise Impact: Deliver scalable, high-performance data platforms for major organisations across diverse industries.
* Career Acceleration: Structured training, funded certifications, and clear progression paths, your growth is a priority.
* Flexibility: London office



What You'll Do

* Design and deliver modern data solutions using Databricks, Synapse, and Fabric.
* Build and optimise ETL/ELT pipelines and data models with SQL & Python.
* Develop Power BI dashboards that drive insight-led decisions.
* Implement data lakes and medallion lakehouse architectures.
* Champion data quality, governance, and security standards.
* Collaborate in Agile, cross-functional teams on major cloud migration and modernisation projects.



Looking For

* Strong experience with Azure Synapse, Databricks, or Microsoft Fabric.
* Solid SQL & Python skills for ETL/ELT development.
* Hands-on experience with data lakes and large datasets.
* Good understanding of BI, data warehousing, and modern data architectures.



Why You'll Love It Here

* High-Growth Environment: Be part of a consultancy that's scaling fast and leading the Microsoft data space.
* Real Impact: Your work will shape enterprise-grade solutions and transformation programmes.
* Continuous Learning: Certifications, training, and mentorship to keep you ahead of the curve.



Ready to make your mark?
Roles like this don't stay open for long, apply now and take the next big step in your career!

Data Engineer

Remote - Azure - Databricks - up to £60k

I'm working with a client who are a leading Microsoft consultancy that's growing fast and shaping the future of data. They are continuing to grow, driving innovation and help clients accelerate their cloud transformation journeys. With a pipeline of cutting-edge projects, this is your chance to work at the forefront of cloud data engineering and make a real impact.



You'll Work With

* Designing and delivering scalable projects using Databricks, Synapse & Fabric
* Build and optimise ETL/ELT pipelines and data models with SQL & Python
* Create advanced Power BI dashboards for actionable insights
* Implement data lakes and medallion lakehouse architecture
* Ensure data quality, governance & security across all solutions
* Collaborate in an Agile environment with cross-functional teams
* Drive cloud migrations and champion best practices in data engineering

Benefits

* Rapid Growth & Exciting Projects - Work on cutting-edge Microsoft Cloud solutions
* Investment in YOU - Training, certifications & clear career pathways
* Fully Remote - Home-based contract with travel expenses covered
* 25 days holiday
* Private health insurance (after one year)
* Life assurance (4x base salary)
* Enhanced parental pay
* Perkbox, cycle scheme, electric car scheme



Key experience


* Strong background in Azure Synapse, Databricks, and/or Microsoft Fabric
* Expertise in ETL/ELT development using SQL & Python
* Experience with data lakes and large-scale datasets
* Solid understanding of BI & data warehousing concepts





Ready to take the next step in your career? Don't delay, apply now!

Data Engineer - Remote - Azure - Databricks - Up to £55k

Join a rapidly growing Microsoft consultancy that's redefining what's possible with cloud data. This is your chance to work on innovative, enterprise-scale projects, build next‑gen data platforms, and help clients accelerate their transformation journeys. If you want to be at the cutting edge of Azure data engineering, this is the place to do it.



What You'll Be Doing

* Architect and deliver scalable solutions using Databricks, Synapse, and Microsoft Fabric
* Build & optimise ETL/ELT pipelines and robust data models using SQL & Python
* Create powerful, insight-driven Power BI dashboards
* Implement data lakes and medallion lakehouse architectures
* Champion data quality, governance, and security
* Collaborate in an Agile, cross-functional environment
* Drive cloud migrations and promote best practices across data engineering



What's In It for You

* Fast Growth & High-Impact Projects - Work on cutting-edge Microsoft cloud solutions
* Investment in You - Certifications, structured career development & continuous training
* Fully Remote - Home-based role with paid travel when needed
* 25 Days Holiday
* Life Assurance (4x salary)
* Enhanced Parental Leave



What You'll Bring

* Strong experience with Azure Synapse, Databricks, and/or Microsoft Fabric
* Expertise in ETL/ELT development using SQL & Python
* Experience working with data lakes and large datasets
* Solid understanding of BI and data warehousing concepts



This is one of the most sought-after teams in the Microsoft data space, and roles here don't stay open for long. If you want to be part of a high-growth consultancy delivering industry-defining cloud solutions, apply now before the opportunity is gone.