Ihre aktuelle Jobsuche

Senior Data Engineer
Up to £75,000 - London (3 days in office)

We are partnering with a global consulting and technology services organisation that delivers large-scale digital, data and AI transformation programmes for enterprise clients across a range of industries.

Due to continued growth within its Data & Analytics practice, the organisation is looking to hire a Senior Data Engineer to take a leading role in designing, developing and optimising modern enterprise data platforms. This is an excellent opportunity to join a highly skilled team delivering complex data transformation initiatives, helping organisations maximise the value of their data and accelerate their analytics and AI capabilities.

Working closely with senior stakeholders, solution architects, data specialists and technology teams, you will be responsible for leading the development of scalable, cloud-based data solutions that support business-critical decision-making. You will also play an influential role in shaping data engineering best practices, providing technical leadership and helping to drive the successful delivery of large-scale data programmes.

This role would suit a Senior Data Engineer who enjoys solving complex technical challenges, contributing to architectural decisions and mentoring other engineers within a collaborative and fast-paced environment.

Key Responsibilities

* Design, develop and optimise complex ETL processes, data pipelines and data integration solutions across enterprise environments
* Lead the delivery of scalable and high-performing cloud-based data platforms
* Develop and maintain robust data models and data architectures to support reporting, advanced analytics and AI initiatives
* Collaborate with senior business stakeholders to understand requirements and translate them into effective technical solutions
* Provide technical leadership and guidance to Data Engineers and wider project teams
* Support and contribute to data architecture decisions, platform strategy and technology roadmaps
* Lead data migration and transformation projects across multiple systems and platforms

Skills & Experience

* Proven experience working as a Senior Data Engineer, Data Engineer or within a Data & Analytics environment delivering enterprise-scale solutions
* Strong hands-on experience designing and building complex ETL processes and large-scale data pipelines
* Significant experience working with cloud-based data platforms such as Azure, AWS or GCP
* Advanced SQL expertise with experience working across large and complex datasets
* Strong Python skills for data engineering, automation and orchestration
* Solid understanding of modern data warehousing, data modelling and data architecture principles

What's on Offer

* Salary of up to £75,000
* Performance-related bonus scheme
* Hybrid working model - up to 3 days per week in office
* 25 days annual leave plus bank holidays, with the option to buy additional days
* Private medical insurance
* Access to modern cloud, data and AI technologies
* Structured training, certifications and ongoing professional development

Senior Applied AI Engineer - London - £150-190k

Location: Central London (minimum 3 days per week in the office)
Salary: Up to £190,000 base salary + 20% bonus + comprehensive benefits package
Sponsorship: Visa sponsorship available for exceptional candidates. Applicants must be currently based in the UK.

A leading financial services organisation is seeking a Senior Full Stack Applied AI Engineer.

This is a rare opportunity to work at the forefront of Generative AI, Agentic AI and Large Language Models, building end-to-end AI-native applications that solve real business problems. You'll take concepts from ideation through rapid prototyping and help shape the technical foundations of solutions that ultimately scale into enterprise production environments.

The Role

As a Senior Full Stack Applied AI Engineer, you will be responsible for designing, building and deploying innovative AI-powered applications across the full technology stack. You'll combine hands-on software engineering expertise with deep knowledge of modern AI frameworks, LLMs and agent technologies.

Key Responsibilities

* Take concepts from problem statement through to working proof-of-concept and production-ready prototypes.
* Design and build AI-native applications leveraging LLMs, agents and multimodal AI frameworks.
* Develop and orchestrate agentic workflows using the Gemini Enterprise Agent Platform, Agent Development Kit (ADK) and Agent2Agent (A2A) protocol.
* Design and implement Retrieval Augmented Generation (RAG) architectures, Vector Search solutions and agent memory management.
* Deploy and manage AI agents using Google's managed agent runtime and foundation models including Gemini and Claude.

* Build intuitive front-end applications using modern frameworks such as React, Next.js or Svelte.
* Develop scalable backend services, APIs and orchestration layers supporting AI applications.
* Design and manage data solutions across SQL, NoSQL and vector database platforms.

* Partner with business stakeholders to identify opportunities where AI can deliver measurable value.
* Evaluate AI models, platforms, frameworks and third-party tools based on capability, cost, latency, security and maintainability.
* Conduct model benchmarking, technical assessments and framework evaluations.

Required Experience

* Proven experience designing, building and deploying Applied AI or Generative AI solutions.
* Strong hands-on experience with Large Language Models, AI agents and modern orchestration frameworks.
* Experience working with Google Cloud AI technologies, particularly Gemini-based solutions.
* Strong Python development skills, with TypeScript experience highly desirable.
* Full stack development experience, with a particular strength in backend engineering and API development.
* Experience building applications using React, Next.js, Svelte or similar modern front-end technologies.
* Strong knowledge of SQL, NoSQL and vector databases including technologies such as Postgres and Firestore.
* Experience implementing RAG solutions, prompt engineering and model evaluation frameworks.
* Hands-on experience with Docker, Kubernetes, CI/CD pipelines and Infrastructure as Code tools such as Terraform.

Why Apply?

* Base salary of up to £190,000 plus 20% annual bonus
* Opportunity to work on genuinely cutting-edge AI and agentic systems
* Visa sponsorship available for UK-based candidates

If you're passionate about building the next generation of AI-powered applications and want to play a key role in shaping how a leading financial services organisation leverages Generative AI, we'd love to hear from you.

To apply, submit your CV or contact David at d.airey@tenthrevolution.com.

Product Owner (Data & AI) / AI Product Manager - London (Hybrid)

Generative AI - Data & Analytics - Power BI - Agile - Digital Transformation - Up to £90,000

We're partnering with a highly respected global organisation investing heavily in its Data & AI capabilities as part of an ambitious digital transformation programme.

This is an opportunity to join a business where technology is a strategic priority, giving you the chance to influence how AI, automation and data products are adopted across an international operation. You'll be joining a collaborative, forward-thinking technology team delivering innovative solutions that improve decision-making, operational efficiency and business performance.

If you're passionate about AI and enjoy turning business challenges into scalable technology solutions, this role offers a fantastic opportunity to drive meaningful change while working with some of the latest developments in Generative AI, AI Agents and intelligent automation.

You Will Work With

* Own, prioritise the Data & AI product backlog.
* Translate requirements into epics, user stories, acceptance criteria.
* Partner with stakeholders across multiple regions.
* Deliver AI-enabled products including GenAI, AI Agents, NLP, automation, analytics.
* Shape AI use cases from concept through delivery.
* Define requirements, data readiness, evaluation criteria, operational needs.
* Drive data quality, governance, lineage, accessibility.
* Support experimentation, innovation, continuous improvement.
* Work within Agile Scrum, Kanban environments.



Benefits

* Salary up to £90,000
* Discretionary annual bonus
* 8% employer pension contribution
* Enhanced parental leave
* Extensive learning and development opportunities
* Clear career progression pathways
* Flexible and hybrid working arrangements

Key Experience

* 3+ years Product Owner experience within Data, AI, Analytics, BI, Automation, Digital Products.
* Proven backlog ownership delivering measurable outcomes.
* Strong Business Analysis skills including workshops, requirements gathering, process mapping, user stories, acceptance criteria.
* End-to-end delivery experience across data, analytics, automation, digital products.
* Knowledge of Generative AI, AI Agents, Machine Learning, NLP.
* Experience defining AI requirements, success measures.
* Power BI experience within governed reporting environments.
* Understanding of data modelling, metrics, lineage, self-service analytics.
* Knowledge of GDPR, governance, risk, security frameworks.
* Agile delivery experience (Scrum, Kanban).
* Strong stakeholder management, communication skills.

Interested?

Join a business making significant investments in Data, AI, digital transformation. Gain real ownership, visibility, influence within a global environment.

Apply now or send your CV directly for immediate consideration. Interviews are being scheduled now, so early applications are encouraged.

How could YOU make an impact on some of the biggest skyline projects in the world?

I'm currently speaking with a globally-established company, and they're looking for a Senior Data Engineering Manager to lead 3 separate Data Engineering teams.

This role is significant to making an impact on covering over 1,100 operations that have delivered some of the most iconic and complex structures across the globe. And whilst it does require someone from a Data Engineering background, this is really a hands-off role in which you'll be leaning in to strategy, people-management and technical judgement.

The role is paying up to £120k as a base salary, with a discretionary bonus of up to 10% alongside that. My client prioritise work life balance more than anything, as they find efficiency in production comes from a happy and healthy workforce. The team is tight-knit, which is something they want to maintain and have achieved through pushing for everyone in the team to be required to be in office 3 days a week.

Key Skills & Experience:

- Led data engineering teams and multiple delivery squads.
- Experience with Databricks, Azure, and service operations.
- Proven ability managing vendors and ensuring delivery quality.
- Solid understanding of data governance and compliance standards.
- Expertise in ETL Processes and Data Warehousing.

This is a great opportunity to progress into higher-level roles, so if you or someone you know are interested, get in touch, as interview processes have already started!
j.marchant@tenthrevolution.com

Data & AI Delivery Specialist - London (Hybrid) - Data Transformation - AI Programmes - Azure, AWS & GCP - Multiple Levels Available - Up to £75,000

Our client is an established professional services and technology business helping organisations solve complex data, digital and operational challenges. Following continued growth and investment, they are expanding their London-based Data & AI capability and are looking to hire talented professionals across multiple experience levels.

You'll join a collaborative and high-performing team delivering large-scale transformation programmes that help organisations improve decision-making, modernise data capabilities and unlock value through analytics and AI. The business is known for investing heavily in its people, providing genuine progression opportunities, exposure to modern technologies and the chance to work on high-profile programmes across a variety of industries.

Whether you're looking to build upon your consulting experience, lead major workstreams or take ownership of complex client engagements, this is an excellent opportunity to accelerate your career within one of the fastest-growing areas of technology.

You Will Work With

* Delivering large-scale Data, Analytics and AI transformation programmes
* Engaging with senior business and technology stakeholders to understand challenges and define solutions
* Translating business requirements into practical data and technology strategies
* Designing and implementing modern data platforms, pipelines and analytical solutions
* Supporting the development of scalable cloud-based data ecosystems using Azure, AWS or GCP
* Data strategy, operating models and transformation roadmaps
* Data governance, data quality and wider data management initiatives
* AI and machine learning use cases that support business growth and innovation
* Programme governance, planning, risk management and delivery activities
* Cross-functional teams including Architects, Engineers, Data Scientists and Business Analysts
* Agile delivery methodologies and best practices
* Business development, proposal support and client engagement activities
* Mentoring and supporting less experienced colleagues where appropriate
* Identifying opportunities to introduce innovative approaches, technologies and solutions

Benefits

* Salary up to £75,000
* Hybrid working model
* Clear career progression opportunities
* Ongoing training, certifications and professional development
* Exposure to large-scale transformation programmes
* Access to modern cloud, data and AI technologies
* Opportunity to work across multiple sectors and industries
* Collaborative and supportive culture
* Competitive pension and benefits package
* Flexible working environment

Key Experience

* Experience delivering Data, Analytics, AI or Digital Transformation initiatives
* Strong stakeholder management, communication and presentation skills
* Experience in project, programme or transformation delivery environments
* Understanding of data management, data governance and data quality concepts
* Knowledge of analytics, reporting and AI solutions
* Understanding of data modelling and data architecture principles
* Experience working with modern data platforms and cloud technologies including Azure, AWS or GCP
* Exposure to data pipelines, data warehouses and analytical ecosystems
* Familiarity with SQL, Python or similar technologies used for data analysis and automation
* Experience working within Agile delivery environments
* Strong analytical and problem-solving skills
* Ability to translate complex business challenges into practical, data-driven solutions
* Consulting, advisory or client-facing experience is highly beneficial

Apply Now

If you're looking to work on complex data and AI transformation programmes whilst developing your career within a growing and innovative team, we'd love to hear from you.

This is an opportunity to join a business that is investing heavily in Data, Analytics and AI, offering exposure to high-profile projects, modern technologies and genuine career progression.

Apply now or send your CV directly. Interviews are being arranged and early applications are encouraged.

Data Engineer
Up to £60,000 - London (3 days in office)

We are partnering with a global consulting and technology services organisation that delivers large-scale digital, data and AI transformation programmes for enterprise clients across a range of industries.

Due to continued growth within its Data & Analytics practice, the organisation is looking to hire a Data Engineer to play a key role in designing, building and optimising modern enterprise data platforms. This is an excellent opportunity to join a highly skilled team working on complex data transformation programmes, helping organisations unlock greater value from their data and accelerate their analytics and AI capabilities.

Working closely with business stakeholders, architects, data specialists and technology teams, you will be responsible for delivering scalable, cloud-based data solutions that support critical business objectives. This role would suit an experienced Data Engineer who enjoys leading technical initiatives, solving complex data challenges and working with modern cloud technologies in a client-focused environment.

Key Responsibilities

* Design, develop and maintain robust ETL processes, data pipelines and data integration solutions across complex environments
* Build and optimise cloud-based data platforms, ensuring scalability, performance and reliability
* Develop and maintain enterprise-scale data models to support reporting, advanced analytics and AI initiatives
* Collaborate with business stakeholders and technical teams to gather requirements and translate them into effective data solutions
* Drive best practices around data quality, governance, security and operational excellence
* Support large-scale data migration and transformation programmes across multiple systems and platforms
* Mentor and support junior team members where appropriate

Skills & Experience

* Proven experience working as a Data Engineer within a Data & Analytics, technology or consulting environment
* Strong hands-on experience designing and building complex ETL processes and data pipelines
* Experience working with cloud-based data platforms such as Azure, AWS or GCP
* Advanced SQL skills with the ability to work across large, complex datasets
* Strong Python skills for data engineering, automation and data processing
* Good understanding of data warehousing, data modelling and modern data architecture principles

What's on Offer

* Salary of up to £60,000
* Performance-related bonus scheme
* Hybrid working model - up to 3 days per week in office
* 25 days annual leave plus bank holidays, with the option to buy additional days
* Private medical insurance
* Access to modern cloud, data and AI technologies
* Structured training, certifications and ongoing professional development

AI Engineer
Up to £150,000 - London (Hybrid Working)

We are partnering with a leading specialist insurance broker that is investing heavily in its artificial intelligence capabilities to transform how it operates and delivers value to its clients. As part of an ambitious AI strategy, the organisation is seeking an AI Engineer to play a key role in designing, developing and deploying innovative AI-powered solutions across the business.

This is a unique opportunity to join a forward-thinking technology team at the forefront of AI adoption within the insurance sector. You will be responsible for building intelligent applications, AI agents and automation solutions that enhance decision-making, improve operational efficiency and unlock greater value from enterprise data.

This role would suit a technically strong AI Engineer who enjoys working with emerging technologies, solving complex business challenges and delivering solutions at scale.

Key Responsibilities

* Design, develop and deploy AI-powered applications, agents and intelligent workflows
* Build clean, maintainable and scalable code to support the delivery of enterprise AI solutions
* Develop end-to-end solutions that integrate with internal systems, enterprise platforms and data sources
* Apply prompt engineering techniques and support model evaluation, testing and optimisation activities
* Ensure AI solutions adhere to established security, governance and responsible AI standards
* Design and orchestrate AI-driven workflows to automate business processes and enhance decision-making

Skills & Experience

* Experience building scalable and maintainable applications
* Experience developing and deploying AI, machine learning or generative AI solutions into production environments
* Knowledge of prompt engineering, model evaluation and AI application development best practices
* Strong Python development experience and familiarity with modern frameworks and tooling
* Experience integrating APIs, enterprise applications and multiple data sources
* Experience working within highly regulated environments such as financial services or insurance

What's on Offer

* Salary of up to £150,000
* Performance-related bonus scheme
* Hybrid working model with flexible working arrangements
* Private medical insurance
* Competitive pension contribution
* Opportunity to shape and deliver an ambitious AI strategy within a leading specialist insurance broker
* Exposure to high-impact AI initiatives with direct visibility across the business

**Take the lead on meaningful, high-impact projects as a Senior Data Engineer.**

We are seeking a Senior Data Engineer to join a growing organisation based in London, offering a hybrid work model. This role is perfect for someone who is passionate about data and wants to contribute to the development of a modern data platform. You will work with cloud technologies and large-scale datasets, helping to build robust ETL/ELT pipelines and analytics-ready data solutions. Collaborate with Data Scientists and Engineers while also gaining exposure to AI and Machine Learning initiatives.

**Key skills required for this role include:**

- Proficiency in Databricks and experience with Medallion Architecture.
- Strong programming skills in Python and SQL.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of Snowflake and experience with Spark/PySpark.
- Experience in designing and implementing modern data platform engineering solutions.

If you are ready to make an impact within a dynamic team and possess the relevant skills and experience, we encourage you to apply for this permanent Senior Data Engineer position. Your expertise will help shape the future of data-driven decision-making in this innovative organisation.

LEGAL DISCLAIMER: This is not necessarily a job advertisement or posting; but may be an example of the many roles of this type that we regularly recruit for. Actual number of job vacancies and roles are subject to change

Senior engineering manager - Hybrid role in Data & Digital Platforms - £110k

A large, globally distributed organisation is looking for a Senior Engineering Manager to lead multiple data and digital engineering teams responsible for delivering critical platforms and products across the business.

This is a senior leadership position, centred around delivery outcomes, operational excellence and people leadership, rather than hands-on development. You will define and uphold engineering standards, enable consistent and predictable delivery, develop engineering capability, and lead both internal and vendor teams across a modern Microsoft and cloud technology environment.

Key Responsibilities:

* Lead globally distributed engineering teams across data platforms and low-code tools.
* Create delivery rhythms, sprint discipline and engineering standards.
* Develop leads by coaching, feedback and capability uplift.
* Oversee vendor delivery, ensuring quality, value and alignment to standards.
* 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.
* Strong understanding of modern data and platform ecosystems.
* Ability to build, scale and high-performing engineering functions.

IT Infrastructure:

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

What they offer:

* Competitive bonus
* Private medical cover and high-end wellbeing support
* Flexible working approach
* Significant scope to shape engineering platforms

Data Engineer

Location: London (Hybrid)
Salary: Up to £75,000 + Bonus + Benefits
Technology: SQL, Python, Spark - Azure, AWS, GCP - ETL/ELT - Data Governance

The Opportunity

Are you a Data Engineer looking for an opportunity to work on large-scale data transformation programmes whilst helping shape enterprise-wide data strategy?

We're partnering with an organisation that is making significant investments in its data capabilities and digital transformation journey. Data sits at the heart of business decision-making, making this an excellent opportunity to join a company where your work will have genuine visibility and impact.

You'll join a collaborative, forward-thinking team delivering modern data solutions across data engineering, governance, migration, quality, metadata management and master data management initiatives. The business offers strong career progression, ongoing investment in technology and the opportunity to work with modern cloud platforms and tools.

Key Responsibilities

* Design, develop and deploy enterprise-wide data management solutions.
* Build and optimise ETL/ELT pipelines and automated data workflows.
* Deliver Data Quality programmes, including data profiling, cleansing, validation and monitoring.
* Lead and support complex Data Migration projects across multiple source and target systems.
* Define migration strategies, data mapping, transformation logic, validation and reconciliation processes.
* Implement and maintain Master Data Management (MDM) solutions and governance processes.
* Develop and manage metadata capabilities, including data catalogues, business glossaries and data lineage.
* Support Data Governance initiatives, ensuring data security, privacy and compliance standards are maintained.
* Work with large and complex datasets using SQL, Python, Spark, Hadoop and modern data technologies.
* Collaborate with technical and business stakeholders within Agile delivery environments.
* Support data architecture and data modelling activities across enterprise platforms.
* Utilise cloud-based data services across Azure, AWS and GCP environments.

Benefits

* Salary up to £75,000
* Annual bonus scheme
* Hybrid working
* Competitive pension contribution
* Learning and development budget
* Professional certification support
* Exposure to modern cloud and data technologies
* Clear career progression opportunities
* Collaborative and supportive working culture
* Opportunity to work on high-profile data transformation projects

Skills & Experience Required

* Proven experience delivering Data Engineering and Data Management solutions within enterprise environments.
* Strong experience designing and implementing Data Quality frameworks and programmes.
* Demonstrable experience delivering end-to-end Data Migration projects.
* Experience with Metadata Management, including data cataloguing, lineage and business glossary development.
* Hands-on experience implementing and managing Master Data Management (MDM) solutions.
* Strong SQL skills and proficiency in Python or similar programming languages.
* Experience with ETL/ELT tools, data warehousing and automated data pipelines.
* Knowledge of Spark, Hadoop or similar big data technologies.
* Strong understanding of Data Governance principles, policies, controls and data lifecycle management.
* Experience working within Agile delivery environments.
* Familiarity with dimensional and relational data modelling techniques.
* Understanding of data architecture principles and best practices.
* Experience with Azure, AWS or GCP data services would be advantageous.
* Excellent analytical, problem-solving and stakeholder management skills.

Apply Now

This is a fantastic opportunity to join a business where data is driving real change and innovation. If you're looking for a role where you can influence strategy, work with modern technologies and be part of a major data transformation programme, we'd love to hear from you.

Apply today or send your CV directly for immediate consideration. Interviews are being scheduled now, so early applications are strongly encouraged.