data & AI
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Job Title: Integration Architect – Azure & ESB Enterprise Services

Location: The Netherlands

Job Type: Full-Time, Permanent

About Us: This company are the leaders in delivering innovative digital solutions to clients across various industries. We pride ourselves on fostering a dynamic and collaborative work environment where our team members can grow and thrive. We are now seeking a talented and experienced Integration Architect specializing in Azure and ESB Enterprise Services to join our team.

Job Description: As an Integration Architect at this company, you will be responsible for designing, developing, and implementing complex integration solutions that connect various systems and services within our enterprise and those of our clients. Your expertise in Azure and ESB (Enterprise Service Bus) will be pivotal in ensuring seamless data flow, enhancing system interoperability, and optimizing overall IT architecture.

Key Responsibilities:

• Architecture Design: Develop and implement integration architecture solutions using Azure services and ESB to meet business requirements and technical specifications.
• Technical Leadership: Provide guidance and mentorship to development teams, ensuring best practices in integration patterns, service-oriented architecture (SOA), and cloud integration.
• Solution Development: Design and build robust, scalable, and secure integration solutions using Azure Logic Apps, Azure Service Bus, API Management, and other relevant Azure services.
• System Integration: Oversee the integration of various systems, applications, and platforms, ensuring data consistency, reliability, and security across the enterprise.
• Stakeholder Engagement: Work closely with business stakeholders, project managers, and other architects to understand business needs, define integration requirements, and deliver effective solutions.
• Continuous Improvement: Stay updated on the latest trends and technologies in integration architecture, Azure, and ESB, recommending improvements and optimizations to existing systems.
• Documentation: Create and maintain detailed architectural documentation, including integration patterns, data flow diagrams, and technical specifications.

Qualifications:

• Experience: Minimum 5 years of experience in integration architecture, with a strong focus on Azure and ESB Enterprise Services.
• Technical Skills: Proficient in Azure services such as Logic Apps, Service Bus, API Management, Functions, and Event Grid. Deep understanding of ESB tools and technologies (e.g., BizTalk, MuleSoft).
• Certifications: Relevant certifications in Azure Architecture, Integration, or similar fields are highly desirable.
• Soft Skills: Excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Strong problem-solving skills and a collaborative mindset.
• Education: Bachelor’s degree in Computer Science, Information Technology, or a related field. Advanced degree preferred.

Why Join Us?

• Competitive salary and benefits package.
• Opportunity to work with cutting-edge technologies and innovative projects.
• Collaborative and inclusive work environment.
• Professional development opportunities and support for certifications.
• Flexible work arrangements, including remote work options.

How to Apply: If you are passionate about integration architecture and have the skills and experience we’re looking for, I would love to hear from you!

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Digital Analytics Consultant

£40,000-£50,000

Fully Remote in The UK

A well-established digital performance marketing agency is looking for a Digital Analytics Consultant to join their growing Data & Insights team; this is a hands-on role focused on tracking implementation, measurement frameworks and client-facing analytics, supporting a portfolio of high-profile digital clients!

The Company

This award-winning digital marketing agency has been operating since the early 2010s and partners with a broad range of well-known brands across sectors including travel, retail and technology; they specialise in performance marketing and digital growth, delivering services across SEO, PPC, Social, Content, Digital PR and Data. With around 50 clients across the portfolio, the business prides itself on delivering measurable impact through data-driven strategies; the Data function works closely with Account Managers and channel specialists to ensure robust measurement, accurate tracking and clear insight into marketing performance.

The Role

As Digital Analytics Consultant, you’ll join a small but growing data team and report into the Associate Director of Data & Insights. This is a hands-on technical role, with the majority of your time focused on tagging, tracking implementation and measurement frameworks across client websites. Some clients operate large digital estates, sometimes hundreds of websites, so you’ll play a key role in ensuring data accuracy, scalable tracking and reliable reporting infrastructure.

Key responsibilities include:

• Implementing and managing tracking frameworks across client websites
• Working heavily with Google Tag Manager (including server-side tagging)
• Managing and troubleshooting GA4 implementations
• Conducting data audits and tagging reviews
• Building dashboards and reports in Looker / data visualisation platforms
• Supporting BigQuery setups and SQL-based analysis
• Advising clients on measurement strategy and what data to track
• Translating data into clear recommendations for optimisation
• Supporting teams on CRO, UX measurement and experimentation frameworks

The role is roughly structured as:

• ~65% implementation & tracking
• ~20-30% measurement strategy
• ~10-15% analysis & insight

This is a fast-paced agency environment where you’ll work across multiple clients and collaborate closely with digital marketing specialists.

Your Skills & Experience

The ideal candidate will come from a digital marketing or performance marketing agency environment and be comfortable managing multiple client implementations.

Key requirements include:

• Strong experience with GA4 and Google Tag Manager
• Experience implementing tracking and tagging frameworks
• Familiarity with server-side tagging (preferred)
• Experience with Looker, Tableau, Power BI or similar BI tools
• Exposure to SQL and BigQuery (desirable)
• Understanding of digital marketing channels and attribution
• Experience supporting CRO or UX measurement frameworks
• Ability to work in a fast-paced, multi-client agency environment

Strong communication skills are essential, as you’ll often be consulting clients on what data means and what they should measure next.

The Benefits

• £40,000-£50,000

How to Apply

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

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Data Analyst (FTC)
London or Milton Park, hybrid working
Up to £55,000 plus benefits

This is a standout opportunity to join a growing analytics function where your work directly shapes regulatory decision making. You will play a meaningful role in high‑impact programmes, using your SQL expertise to support fair customer outcomes and contribute to business‑critical reporting.

The Company
They are a forward‑thinking financial services organisation committed to delivering simple, transparent products and exceptional customer experiences. With a strong focus on inclusion and development, they create an environment where you can thrive and progress. Their analytics team sits at the heart of the business, supporting key programmes that drive transparency and customer fairness. Collaboration is central to their culture, with a balance of office connection and flexible working.

The Role
* Deliver SQL‑led analysis, maintaining established scripts and adapting them to meet tight deadlines.
* Produce accurate data extracts for operational, complaints and legal workflows.
* Manage and refresh customer data populations and segments used across regulatory programmes.
* Own external and regulatory reporting requirements with a focus on precision and timeliness.
* Support correspondence‑driven processes, including case management and tracking activity.

Your Skills and Experience
* Strong SQL skills with the ability to work confidently with complex queries.
* Proven experience producing accurate data outputs for business, operational or regulatory use.
* Ability to manage multiple datasets and maintain structured version control.
* Skilled in delivering clear, reliable reporting for internal and external stakeholders.
* A detail‑focused approach with confidence working in time‑sensitive environments.

What They Offer
* Salary up to £55,000 plus comprehensive benefits.
* Hybrid working with two days per week in the office.
* Opportunities for learning, development and career progression within a supportive analytics function.
* Exposure to high‑impact regulatory projects that enhance your technical and commercial skillset.

How to Apply
If this role sounds like the right next step for you, please apply with your CV to be considered.

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Data Scientist

London Hybrid – 2-3 days in office
Competitive salary between £45,000 and £50,000 plus benefits

This is a great opportunity to join a high‑impact data function within a major transport organisation, working on complex datasets, geospatial challenges, and predictive modelling that directly shapes customer experience and operational performance. If you are looking for a hands‑on, traditional Data Science role with plenty of autonomy and greenfield opportunity, this is a strong next step.

The Company

They are a leading player in the UK transport sector, operating a large and busy network. With data playing an increasingly important role in decision‑making, they are investing in a growing commercial and data function to drive insight, efficiency and innovation. The Data team sits within a wider commercial structure and works closely with stakeholders across the business to unlock value from complex, high‑volume datasets.

The Role

As a Data Scientist, you will work on a broad range of modelling and analytical projects, from exploratory analysis to predictive modelling and geospatial insight. You will help the team extract deeper value from diverse datasets and shape how the organisation makes data‑driven decisions.

Your responsibilities include:

• Delivering end‑to‑end Data Science projects, from scoping through to modelling and stakeholder presentation.
• Building predictive models in areas such as fleet behaviour, sensors, demand forecasting and customer journey patterns.
• Conducting geospatial analysis using mobile network and location‑based datasets to understand journey flow and catchment behaviour.
• Exploring open‑ended datasets to identify value, opportunities and actionable insights.
• Collaborating with Data Engineers and Analysts on data modelling, dashboards and web‑based tools.
• Communicating findings clearly to stakeholders with varied levels of data literacy.

Your Skills and Experience

You will bring strong commercial experience in:

• Python and SQL, along with core Data Science libraries and tools.
• Working with messy, complex datasets and extracting meaningful insight.
• Building and deploying predictive models and Machine Learning solutions.
• Geospatial analysis and the ability to explore open datasets.
• Communicating technical concepts in a clear, simple, non‑jargon way.
• Working autonomously and navigating ambiguity in data environments.

What They Offer

• Competitive salary between £45,000 and £50,000
• Hybrid working, 2-3 days per week in the office
• Travel benefits, including 75 percent off UK rail travel
• A supportive data team with opportunities to lead projects, innovate and shape the Data Science capability

How to Apply

If this sounds like your next step, apply today or email me at

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Senior Data Engineer (IC)

Location: Remote (Office in London and Wiltshire)

Salary: Up to £90,000 + Benefits

This is an exciting opportunity to join a growing organisation and take ownership of a greenfield data platform. You will play a key role in shaping engineering standards, building scalable pipelines, and enabling the analytics and insight capabilities that will underpin the company’s next stage of growth.

The Company

They are a well established organisation providing essential services across both public and private sectors. Following significant expansion, they are investing heavily in modern data capabilities to improve operational performance and deliver better outcomes for the communities they support. Their technology function is scaling quickly, giving you the opportunity to make a genuine impact in a developing data environment.

The Role

As a Senior Data Engineer, you will have responsibilities for:

• Own the delivery of core data products including pipelines, curated datasets, and models.
• Design and enhance scalable data architecture to improve reliability and performance.
• Build and maintain ETL and ELT pipelines using SQL, Python, and cloud technologies.
• Champion engineering best practices including CI/CD, documentation, and observability.
• Develop trusted datasets and metrics used across analytics and reporting teams.
• Work closely with stakeholders across Data, Product, and Leadership to translate requirements into robust data solutions.
• Support the organisation’s move toward MLOps‑ready platforms and processes.

Your Skills and Experience

You will be required to have experience in the following tools:

• Strong commercial experience building and maintaining production‑grade ETL and ELT pipelines.
• Advanced SQL and Python skills for modelling, transformation, and optimisation.
• Hands‑on experience with cloud data tooling such as Azure, AWS, or GCP.
• A solid understanding of data engineering principles including quality, reliability, and automation.
• Experience working within modern engineering environments, ideally with CI/CD and containerisation.
• Exposure to orchestration, observability, and analytics engineering is beneficial but not essential.

What They Offer

• Fully remote working with occasional monthly travel.
• A chance to shape a greenfield data platform in a growing tech function.
• Opportunities for progression across Data Engineering, MLOps, and DevOps practices.

How to Apply

If this sounds like the next step in your data engineering career, please apply with your CV!

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Senior AI Engineer

London – 1-2x week in office

Salary: £80,000 – £90,000

This is an exciting opportunity to join a business that is investing heavily in AI and modern cloud technologies. You will play a key role in building AI‑driven products that have a direct impact on customer experience, operational efficiency and the future of their platform.

The Company

They are a tech‑forward insurance organisation with a strong focus on delivering smarter, more personalised digital products. Their teams combine data, engineering and customer expertise to create solutions that simplify complex challenges for their users. Innovation, collaboration and a flexible working culture are at the heart of how they operate. They continue to scale their AI capability and are looking for someone who can help shape this next phase of growth.

The Role

In this AI Platform Engineer role, you will:

* Design, build and operate AI‑first products that deliver measurable value.

* Develop and deploy production‑grade AI agents on GCP using ADK, integrating with internal systems via REST and JSON APIs.

* Build and maintain robust evaluation and monitoring frameworks, including online and offline testing, A/B experiments and performance dashboards.

* Integrate AI agent functionality with applications through MCP servers and reliable tool configurations.

* Develop secure and scalable RAG pipelines, including ingestion, text processing, metadata handling and vector search in GCP.

* Embed security, compliance, GDPR controls and best‑practice engineering with clear documentation and stakeholder collaboration.

Your Skills and Experience

To be successful, you will bring:

* Strong Python skills for backend services, SDKs, API development, authentication and testing.

* Hands‑on experience working with LLMs, embeddings, prompt engineering, tool calling and RAG design.

* Practical knowledge of GCP services including Vertex AI, Model Garden, BigQuery, Cloud Run and Google’s ADK.

* Experience with document and data processing using tools such as Apache Tika, plus storage or caching technologies like Postgres, Redis, GCS or BigQuery.

* Solid DevOps practices including CI/CD, Docker, observability and automated testing.

* A product‑led mindset with a strong understanding of security, IAM, auditability and defining success metrics.

What They Offer

* Opportunities to shape AI products from the ground up.

* A collaborative environment that encourages innovation and career progression.

How to Apply

If you are excited about building production‑ready AI systems and want to drive meaningful impact, please apply with your CV.

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Infrastructure Product Engineering Manager

Location: Bristol, Hybrid (2 days per week in office)

Salary: £100,000 to £130,000 plus 10 percent bonus

This is a standout opportunity to shape a brand‑new Infrastructure Product Engineering function within a global organisation. You will set the direction, establish modern DevOps and IaC practices, and lead a chapter of engineers working across high‑impact squads delivering data, AI and automation initiatives.

The Company
They are an international organisation operating across Europe, the Middle East, Asia, and the US, focused on delivering technology‑enabled services to global clients. With a collaborative and forward‑looking culture, they are investing heavily in digital transformation, cloud engineering and automation. Their environment encourages innovation, modern engineering thinking and the freedom to influence how infrastructure is delivered at scale.

The Role
In this Infrastructure Product Engineering Manager position, you will:

• Act as the chapter lead for DevOps, shaping a new function and defining Infrastructure as Code, automation and CI/CD standards.
• Lead and develop a team of DevOps and Cloud Engineers working across multiple product squads.
• Serve as the product owner for cloud infrastructure, delivering secure, scalable, well‑architected Azure platforms.
• Drive the design and build of new platform services in partnership with architecture and engineering teams.
• Champion modern software engineering practices, improving reliability, observability and automation across infrastructure.
• Implement strong IAM, data protection and regulatory compliance controls
• Collaborate closely with data, generative AI and agent‑focused squads to enable high‑quality product delivery

Your Skills and Experience
To succeed in this Infrastructure Product Engineering Manager role, you will need:

• Strong technical leadership experience in infrastructure, platform, or DevOps engineering.
• Advanced expertise in Azure and cloud‑native infrastructure services.
• Deep practical experience with Terraform or Bicep for Infrastructure as Code.
• Strong understanding of CI/CD pipelines, automation and modern DevOps principles.
• Experience delivering technology products into production environments.
• Knowledge of containerisation, orchestration, monitoring and platform observability.
• The ability to coach teams, communicate clearly, and lead through ambiguity.

What They Offer

• A modern engineering environment with significant autonomy to build and shape a new function.
• Career progression through major cloud, automation and digital transformation programmes.
• Benefits package and long‑term development opportunities.

How to Apply
To apply, please send your CV, along with your salary information!

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