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Analytics Engineer

Location: London

About the Role:
We are seeking an experienced Analytics Engineer to help design and scale a modern data platform for a global organisation. This role is ideal for someone passionate about building robust data architectures, enabling actionable insights, and driving analytics maturity across the business.

• Enjoy owning the full analytics workflow from raw ingestion to dashboards.
• Value clean, documented, and tested data models.
• Have a product mindset and embrace stakeholder feedback.
• Stay current with modern data tooling and best practices.

Key Responsibilities:

• Design and maintain scalable data warehouse architecture using the Medallion model (Bronze/Silver/Gold layers).
• Build, test, and deploy dbt/dataform models with reusable SQL-based transformations.
• Develop and optimise BI dashboards and data products using Tableau, translating business needs into visual insights.
• Orchestrate and monitor data pipelines, ensuring data quality and timely delivery.
• Implement data quality checks, observability, and maintain data cataloging and lineage.
• Drive CI/CD practices using GitHub Actions or similar tools.
• Collaborate with cross-functional teams to improve platform capabilities and analytics maturity.

Requirements:

• Proven experience in BigQuery and dbt/dataform for data warehousing and transformation.
• Strong SQL skills and understanding of modern data architecture principles.
• Hands-on experience with Tableau for enterprise-grade dashboard development.
• Familiarity with orchestration tools (e.g., Prefect, Airflow), data quality frameworks, and metadata tools.
• Proficiency in Git, CI/CD, and scripting with Python.
• Excellent communication skills and ability to work collaboratively across technical and business teams.

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!

Data Engineering Lead - Hybrid - Azure/Databricks - London
Permanent
Salary: £90,000

Are you a seasoned Data Engineering professional ready to lead the charge in building scalable, high-performance data platforms? An industry leading, global firm is seeking a Data Engineering Lead to drive innovation across their hybrid Azure/Databricks environment.

About the role:

• Shape data strategy for global projects
• Lead a talented team of BI Developers
• Enjoy a flexible working culture and industry-leading benefits
• Work with cutting-edge tech in a collaborative, inclusive environment

Key Responsibilities:

• Architect and optimize robust data pipelines for large-scale ingestion, transformation, and delivery
• Leverage Azure and Databricks to enable seamless data integration and enrichment
• Implement best practices for orchestration, monitoring, and error handling
• Lead and mentor a BI team, ensuring timely delivery of dashboards and data products
• Champion data governance, quality, and security across platforms

Requirements:

• Proven expertise in Azure, SQL, Databricks, and Azure Data Factory
• Experience implementing medallion architecture frameworks
• Strong leadership and stakeholder engagement skills
• Hands-on Power BI and DAX experience

Head of AI - Financial Services - London - £150k + Package

Please note - to be eligible for this role you must have the unrestricted right to work in the UK, this organisation is not able to offer sponsorship. This is a hybrid role and will require you to work from the London office 2-3 days per week.

About the Role



We are looking for an accomplished Head of AI to lead the design and delivery of an ambitious AI strategy for a leading financial services organisation. This is a senior leadership position combining technical depth with strategic vision, where you will shape how AI transforms products, processes, and customer experiences.

What You'll Do

• Develop and implement a comprehensive AI roadmap aligned with business objectives.
• Design and oversee scalable AI systems, including advanced machine learning models, automation tools, and generative AI applications.
• Build and manage a high-performing team of AI engineers, data scientists, and product specialists.
• Collaborate with senior stakeholders to embed AI into core business platforms and services.
• Establish governance frameworks to ensure ethical, compliant, and secure AI deployment.
• Drive innovation by identifying emerging technologies and translating research into practical solutions.
• Represent the organisation externally as a thought leader in AI, engaging with industry forums and technology communities.

What We're Looking For

• Advanced academic background (PhD or MSc) in Computer Science, Machine Learning, AI, or related discipline.
• Proven track record of leading AI initiatives in a complex or regulated environment.
• Strong technical expertise in machine learning, NLP, and scalable architectures.
• Familiarity with modern AI frameworks and cloud platforms (AWS, Azure, GCP).
• Excellent leadership and communication skills, with the ability to influence at all levels.
• Contributions to research, patents, or open-source projects are highly desirable.

To apply for this role please submit your CV or contact David Airey on 0191 338 7508 or at d.airey@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.

BI Developer - London - £65,000

Are you passionate about building scalable BI solutions and working with cutting-edge data technologies? We are seeking a BI Developer to join a dynamic team and help shape the future of data analytics within a global organisation.

About the role:

• Design and develop BI solutions using Microsoft Fabric and related technologies.
• Build and manage data pipelines leveraging Data Factory.
• Develop semantic models in Power BI
• Collaborate with data architects, analysts, and stakeholders to deliver actionable insights.
• Optimise data models for performance and reusability.
• Support governance, security, and compliance best practices.

Key Responsibilities

• Deliver scalable Azure-based data platforms, including Data Warehouses and reporting tools.
• Provide technical support and manage a modern technology stack (Azure Synapse, SSIS, SQL, Data Lake).
• Assist with migration and reconciliation of data from legacy systems or acquisitions.
• Act as a hands-on Data Engineer across the full stack.

Requirements:

• Strong expertise in SQL, Power BI, and cloud platforms.
• Experience with Microsoft Fabric
• Excellent communication skills to engage with technical and non-technical teams.

Benefits:

• Work with cutting-edge technologies in a modern data platform environment.
• Be part of a collaborative team driving innovation and insight.
• Competitive salary and benefits package.

Data Engineer - Azure & Databricks - £70,000

Location: Hybrid, London
Employment Type: Full-time

About the Role:
A global leader within their relevant field is looking for an experienced Data Engineer to join a global organization and help deliver innovative data solutions. You'll work on the full data engineering and business intelligence lifecycle, supporting analytics and AI needs across multiple business functions.

Key Responsibilities:

• Design and implement scalable data solutions using Azure Data Services and Databricks
• Develop and maintain data pipelines for automated data collection and integration
• Create and optimize data models and transformations
• Build interactive dashboards and reports using Power BI
• Ensure data quality, integrity, and security across all stages of processing
• Collaborate with cross-functional teams to define requirements and deliver solutions

Requirements:

• Hands-on experience with Azure Data Factory, Databricks, SQL, Data Lake, Power BI
• Strong skills in T-SQL and DAX
• Experience in ETL development, data modelling, and data governance
• Familiarity with CI/CD pipelines and Azure DevOps
• Excellent communication and problem-solving skills

Senior Sales Executive - Data & Analytics - Up to £100,000 salary + Commission

Location: London, United Kingdom

About the Role:
A global IT consultancy is looking for an experienced Senior Sales Executive to drive growth across the UK by selling cutting-edge data engineering, analytics, cloud data platforms, and AI-led solutions. This is a dynamic role combining new business development with account growth, ideal for a sales professional who thrives on both hunting and nurturing client relationships.



Key Responsibilities:

• Develop new business opportunities across mid-market and enterprise clients.
• Manage the full sales lifecycle with support from pre-sales and delivery teams.
• Build and maintain a healthy sales pipeline aligned to revenue targets.
• Own and grow assigned accounts through upsell and cross-sell opportunities.
• Engage with senior stakeholders (Heads of Data, Analytics Managers, IT Directors).
• Collaborate with internal teams for solutioning and accurate forecasting.

What We're Looking For:

Essential:

• 5-7 years of B2B sales experience in Data, Analytics, Cloud, or Digital services.
• Proven track record selling consulting or managed services.
• High-level understanding of data engineering, analytics, and cloud platforms (e.g., Snowflake, Databricks, Azure, AWS).
• Strong communication and stakeholder management skills.

Desirable:

• Experience with UK enterprise or mid-market clients.
• Familiarity with pre-sales and offshore delivery models.
• Industry exposure to Insurance, Public Sector, BFSI.

Why Join:

• Opportunity to sell high-demand data and AI services.
• Strong pre-sales and delivery support.
• Clear career growth and learning opportunities.
• Competitive compensation with performance-based incentives.