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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

Remote - Azure - Databricks - up to £80k

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 - 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!

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

AI Product Manager - Up to £115,000 - London (Hybrid)

I am working with a major name in financial services, a global organisation trusted by millions of customers. They are investing heavily in AI and digital transformation, and this role sits right at the centre of that growth.

We are looking for a Technical Product Owner at VP level to drive the evolution of digital and AI‑powered conversational solutions. This is a fantastic opportunity to shape strategy, influence technical direction, and bring cutting‑edge AI products to life. You will work closely with cross‑functional teams, guide decision‑making, and help define the future of AI-enabled customer experiences.



You will work with

• Keeping ahead of emerging technologies and identifying areas to innovate.
• Playing a crucial role in steering AI-powered conversational capabilities for millions of users.
• Defining and delivering the technical product vision and roadmap
• Working with product owners, engineering teams, and key stakeholders to prioritise features and requirements.
• Leading continuous testing and performance monitoring to drive iterative improvement.

Benefits

• Salary up to £115,000
• Hybrid working model (London-based)
• Opportunity to shape and lead major AI initiatives
• Work with modern technology in a forward-thinking environment
• Clear senior-level career progression
• High visibility across the organisation

What they are Looking For

• Strong experience in technical product management with a strategic, forward-thinking approach.
• A proven track record working on NLP-based products and AI-driven solutions.
• The ability to lead, influence, and collaborate with cross‑functional teams at senior levels.

Ready to?

• Take control in AI innovation and be central to major digital transformation.
• Work with cutting-edge technologies in a high-impact environment.
• Enjoy competitive compensation and a clear path for growth.
• Be part of a forward‑thinking organisation committed to customer obsession and continuous improvement.

If you're excited by the idea of shaping enterprise-scale AI products and driving strategic change? Apply now!

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.

Senior Snowflake Data Engineer - Remote - £competitive

About the Role
We are looking for an experienced Senior Snowflake Data Engineer to join a dynamic team working on cutting-edge data solutions. This is an exciting opportunity to design, build, and optimise high-performance data pipelines using Snowflake, dbt, and modern engineering practices. If you are passionate about data engineering, test-driven development, and cloud technologies, we'd love to hear from you.



Key Responsibilities

• Design, develop, and optimise scalable data pipelines in Snowflake.
• Build and maintain dbt models with robust testing and documentation.
• Apply test-driven development principles for data quality and schema validation.
• Optimise pipelines to reduce processing time and compute costs.
• Develop modular, reusable transformations using SQL and Python.
• Implement CI/CD pipelines and manage deployments via Git.
• Automate workflows using orchestration tools such as Airflow or dbt Cloud.
• Configure and optimise Snowflake warehouses for performance and cost efficiency.

Required Skills & Experience

• 7+ years in data engineering roles.
• 3+ years hands-on experience with Snowflake.
• 2+ years production experience with dbt (mandatory).
• Advanced SQL and strong Python programming skills.
• Experience with Git, CI/CD, and DevOps practices.
• Familiarity with ETL/ELT tools and cloud platforms (AWS, Azure).
• Knowledge of Snowflake features such as Snowpipe, streams, tasks, and query optimisation.

Preferred Qualifications

• Snowflake certifications (SnowPro Core or Advanced).
• Experience with dbt Cloud and custom macros.
• Exposure to real-time streaming (Kafka, Kinesis).
• Familiarity with data observability tools and BI integrations (Tableau, Power BI).

What We Offer

• Opportunity to work with modern data technologies and large-scale architectures.
• Professional development and certification support.
• Collaborative, engineering-focused culture.
• Competitive salary and benefits package.

Interested?
Apply now with your CV highlighting your Snowflake, dbt, and DevOps experience.

Senior Snowflake Data Engineer

Location: Remote UK
Employment Type: Full-time

About the Role
We are looking for an experienced Senior Snowflake Data Engineer to design, build, and optimise data pipelines using modern engineering practices. This role involves working with Snowflake, dbt, and Python, implementing scalable solutions and driving best practices in data engineering and DevOps.

About the role:

• Develop and optimise high-performance data pipelines in Snowflake
• Build modular, reusable dbt models with comprehensive testing and documentation
• Implement test-driven development and data quality checks
• Configure CI/CD pipelines for automated testing and deployment
• Collaborate with cross-functional teams to deliver robust, scalable data solutions

What We're Looking For

• Hands-on experience with Snowflake
• Production experience with dbt (mandatory)
• Strong SQL and Python programming skills
• Experience with Git-based workflows and DevOps practices
• Familiarity with orchestration tools (Airflow, Prefect) and ETL/ELT patterns
• Knowledge of cloud platforms (AWS, Azure) and security best practices

Senior Databricks Data Engineer - London - Insurance - £100K

Are you ready to take your career to the next level in a rewarding environment that values your expertise?

We are seeking a Senior Azure Databricks Engineer for a permanent, hybrid role based in London. In this position, you will leverage Azure Databricks to drive innovative data solutions and contribute to enhancing our data engineering capabilities. This is an excellent opportunity for individuals who thrive in collaborative environments and are passionate about making an impact.

Key responsibilities include:
- Designing and implementing scalable data processing solutions using Azure Databricks.
- Collaborating with cross-functional teams to optimize data workflows.
- Ensuring data quality and governance across various pipelines.
- Mentoring and supporting junior data engineers to foster growth and innovation.

Requirements to be successful:

- Azure Data Services experience (including Azure ADF, Data Lake, Key Vault, Azure Functions and Databricks Delta Lake, PySpark and Unity Catalog)

- Experience within the Lloyds of London insurance market

If you are an experienced Azure Databricks engineer looking to make a meaningful contribution, we encourage you to apply for this exciting opportunity. Your skills could shape the future of data engineering with us.

Databricks Data Engineer London | Senior Manager | Up to £100K + Bonus

Ready to take your data engineering career to the next level?
Join a global consultancy on a major transformation project within the insurance domain. This is your chance to work with cutting-edge technologies, influence strategic decisions, and make a real impact in a collaborative, forward-thinking environment.



Why This Role?

• Be part of a high-profile project driving innovation in data and analytics.
• Work with a global leader in digital transformation.
• Enjoy senior-level responsibilities, clear progression, and exposure to decision-makers.
• Competitive package: Up to £100K base + 12% bonus + benefits.
• Hybrid role based in London.

What You'll Do

• Design and develop data pipelines and transformation workflows using Azure Databricks.
• Collaborate with cross-functional teams to deliver data-driven solutions.
• Work on cloud-based data storage and processing platforms.
• Contribute to strategic decision-making and innovation in the insurance domain.

What We're Looking For

• Proven Data Engineer with 5+ years of hands-on Databricks experience.
• Insurance domain expertise - essential.
• Strong background in data management, ETL, and SQL.
• Familiarity with Azure and Microsoft BI tools.
• Immediate start
• No VISA sponsorship.

This is more than a job - it's a chance to shape the future of data engineering.
Apply today and join a team where your ideas matter!