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For Permanent in London

Senior Sales Executive - Data

England, London

  • £80,000 to £100,000 GBP
  • Engineer Role
  • Skills: Data Engineering & Analytics - Cloud Platforms (Azure, AWS, Snowflake, Databricks)
  • Seniority: Senior

Job description



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

England, London

  • £50,000 to £65,000 GBP
  • Engineer Role
  • Skills: Data Engineer - Databricks / Fabric - Azure
  • Seniority: Mid-level

Job description



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!

AI Security Engineer - Up to £100,000 - Hybrid

England, London

  • £80,000 to £100,000 GBP
  • Engineer Role
  • Skills: AWS, Azure, Python, Bash
  • Seniority: Senior

Job description

AI Security Engineer - Up to £100,000 - Hybrid

Purpose of the Role



To develop, implement and maintain security solutions that safeguard organisational systems and sensitive information. The role focuses on securing AI and GenAI capabilities across the enterprise, ensuring innovation is delivered safely, responsibly and in line with regulatory and security standards.

Key Accountabilities



  • Provide subject matter expertise on security systems, cryptographic engineering patterns and AI security best practices.


  • Design, develop and implement protocols, algorithms and software applications to protect sensitive data and systems.


  • Manage and protect secrets, ensuring secure generation, storage and lifecycle management.


  • Conduct security audits to monitor, identify and assess vulnerabilities across infrastructure and software; support response activities for potential security incidents.


  • Identify advancements in cryptography, AI security and emerging technologies to drive innovation and adoption of enhanced security controls.


  • Collaborate with developers, data scientists, security teams and business stakeholders to ensure solutions align with business objectives, policies and regulatory requirements.


  • Develop, implement and maintain Identity and Access Management (IAM) solutions and privileged access controls.


  • Lead the GenAI security portfolio within SISO, embedding secure-by-design principles into AI product development and deployment.

Assistant Vice President Expectations



As an AVP, you will:


  • Advise and influence decision-making, contribute to policy development and take responsibility for operational effectiveness.


  • Lead complex initiatives impacting the wider business function, setting objectives and coaching colleagues to deliver high performance.


  • Demonstrate the LEAD behaviours:


    • Listen and be authentic


    • Energise and inspire


    • Align across the enterprise


    • Develop others


  • Lead collaborative assignments, guiding cross-functional teams and identifying where additional specialist expertise is required.


  • Provide consultation on complex issues, supporting the resolution of escalated matters.


  • Identify and mitigate risks, strengthening governance and controls through enhanced policies and procedures.


  • Take ownership of risk management and control effectiveness within your remit.


  • Engage in complex analysis using internal and external data sources to solve problems creatively and effectively.


  • Communicate complex and sensitive information clearly to technical and non-technical stakeholders.


  • Influence and engage stakeholders across the organisation to achieve strategic outcomes.

Skills and Experience



To be successful as an AI Security Engineer, you should have:


  • Strong programming and scripting skills, particularly in Python and Bash.


  • Strong knowledge of cloud technologies, specifically AWS and Azure.


  • Strong understanding of API development and API security principles.


  • Experience implementing and securing Identity and Access Management solutions.


  • Knowledge of cryptographic principles and secure key management practices.


  • A solid understanding of security engineering across infrastructure, applications and AI systems.


  • Good understanding of, or strong interest in, data science methodologies and machine learning concepts.




To apply for this role please submit your CV or contact Dillon Blackburn on 0191 255 1428 or at d.blackburn@tenthrevolution.com.

Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Data Engineer

England, London, City of London

  • £50,000 to £55,000 GBP
  • Engineer Role
  • Skills: Data Engineer
  • Seniority: Mid-level

Job description



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.

Data Engineer

England, London, City of London

  • £55,000 to £60,000 GBP
  • Engineer Role
  • Skills: Remote - Azure - Databricks - up to £60k
  • Seniority: Mid-level

Job description



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

England, London

  • £50,000 to £65,000 GBP
  • Engineer Role
  • Skills: Azure
  • Seniority: Mid-level

Job description



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!

Head of Engineering

England, London

  • £80,000 to £150,000 GBP
  • Engineer Role
  • Skills: Python, Devops, QA, ML, aws, data science, spark, databricks,
  • Seniority: Senior

Job description



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


Data Team Lead

England, London, City of London

  • £65,000 to £700,000 GBP
  • Engineer Role
  • Skills: Data Team Lead - Azure - Fabric - Databricks
  • Seniority: Senior

Job description



Data Team Lead - Azure - Fabric - Databricks - £70k
Lead. Inspire. Deliver. Transform data at scale.

This is an exciting opportunity for someone who loves combining leadership, technical delivery, and real impact. If you're passionate about developing people, delivering modern data solutions, and working with cutting-edge Microsoft technologies, this one is absolutely worth a look.

As a Data Team Lead, you'll take ownership of a team of Technical Consultants, supporting their growth while still staying close to the hands-on work. You'll guide solution design, ensure best practice delivery, and help customers maximise the value of their data across the Microsoft ecosystem.



You'll work with
  • Line manage and mentor a group of Technical Consultants
  • Drive engagement, performance, and development plans
  • Support certification pathways and build a high-performing team culture
  • Get involved in designing scalable solutions using Microsoft Fabric, Azure Databricks, Synapse, Data Factory, SQL Server and more
  • Lead the delivery of cloud migrations, modern data lakes, and end-to-end ETL/ELT pipelines
  • Own resource planning, scheduling, and team availability
  • Work closely with Pre‑Sales, Commercial, and Project Management to scope work effectively


If you enjoy balancing leadership with hands-on technical involvement, this role is perfect.

Benefits

This organisation has a world‑class culture and truly invests in its people.
  • Fully remote working
  • 25 days holiday
  • Monthly home working allowance + home setup allowance
  • Life assurance (4× salary)
  • Private health insurance after one year
  • Enhanced parental leave


On top of that, you'll be joining a business committed to ethics, sustainability, diversity, and community impact.



What You'll Bring

We're looking for someone with:
  • Proven leadership or mentoring experience
  • Strong background in Data Engineering or Data Warehousing
  • Solid experience across Microsoft Fabric, Databricks, Synapse, Data Factory, etc.
  • Excellent SQL & Python skills for ETL/ELT and data transformation
  • Knowledge of lakehouse architecture and large-scale datasets
  • A collaborative style and the ability to build an engaged, inclusive team




Ready to Explore This Opportunity?

If you're a motivated Data professional with a passion for leadership and modern cloud technologies, apply now!