DATA ENGINEERING AND BIG DATA
TALENT SOLUTIONS
Processing Big Data has become crucial to countless businesses. Those who decide to pursue a career within Big Data face complex development challenges, too tough for relational database systems. After all, there is no Data Science without Data Engineers.
Whilst businesses may have vast quantities of data at the ready, it holds no real value unless it can be stored, harnessed and utilised. It’s estimated that most UK companies have at least 100 terabytes of data stored which could be used for various purposes around the business, as well as newly accessible hard-to-process sources such as web data, image data, and social media data.
This is where those who work in Data Engineering become extremely valuable, as they develop Data Platforms that allow this kind of volume to be processed and used by Data Scientists and analysts across the business.
WHY
HARNHAM?
OUR
SERVICES
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Permanent and Contract Recruitment: We offer both permanent and contract recruitment solutions, adapting flexibly to support the dynamic requirements of your Big Data and Data Engineering projects.
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Executive Search: Our executive search service focuses on identifying and securing top-tier leaders in the Data Engineering domain who can advance your strategic goals and technological advancements.
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Industry-Specific Expertise: Our operations span multiple industries, providing specialized recruitment solutions tailored to the distinctive challenges and opportunities of your sector.
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Contact us today to discover how our custom talent solutions can bolster your organization's Data Engineering prowess.
JOBS
LATEST
OPPORTUNITIES
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
SRE Staff
Paris
€90000 - €110000
+ Data Engineering
PermanentParis, ÃŽle-de-France
To Apply for this Job Click Here
SRE Staff
Paris (Hybride) | 90 000 € à 110 000 € + Bonus trimestriel
Vous souhaitez rejoindre une entreprise technologique en forte croissance où les enjeux d’infrastructure sont au cÅ“ur de la stratégie produit ? Ce poste de Staff Site Reliability Engineer offre l’opportunité de travailler sur une plateforme à fort trafic, tout en jouant un rôle clé dans les décisions techniques, l’architecture et l’accompagnement des équipes.
L’Entreprise
Cette entreprise technologique connaît une croissance soutenue et investit fortement dans la scalabilité et la fiabilité de sa plateforme. Son environnement technique traite un volume important de requêtes chaque jour et fait face à des défis croissants liés à la performance, à la disponibilité des services et à l’optimisation des coûts cloud.
Dans le cadre du renforcement de son équipe Infrastructure, elle recrute plusieurs profils seniors afin d’accompagner ses ambitions de croissance et l’évolution de sa plateforme.
Le Poste
En tant que Staff Site Reliability Engineer, vous serez un référent technique au sein de l’équipe Infrastructure. Vous combinerez expertise technique, accompagnement des équipes et influence sur les orientations stratégiques de la plateforme.
Vos principales responsabilités incluront :
- Concevoir et faire évoluer une infrastructure cloud performante, scalable et résiliente sur AWS
- Améliorer la disponibilité, la fiabilité et la performance des systèmes critiques
- Travailler étroitement avec les équipes Engineering pour garantir la stabilité et la qualité des plateformes en production
- Définir et contribuer à la roadmap technique de l’environnement infrastructure
- Participer aux choix d’architecture et aux projets de transformation de la plateforme
- Développer et optimiser les pipelines CI/CD ainsi que les processus d’automatisation
- Accompagner le déploiement et l’évolution des environnements Kubernetes et Terraform
- Piloter des initiatives FinOps afin d’optimiser les coûts cloud et l’efficacité opérationnelle
- Mentoriser et accompagner les ingénieurs SRE et Infrastructure
- Participer à une astreinte rémunérée permettant de garantir la disponibilité des services
Le poste s’articule autour d’environ 60 % de contribution technique directe et 40 % de leadership technique, mentoring et architecture.
Vos Compétences & Expérience
- Solide expérience en Site Reliability Engineering
- Expertise reconnue sur AWS
- Expérience de plateformes à fort trafic ou de systèmes distribués à grande échelle
- Bonne maîtrise de Kubernetes et Terraform
- Expérience dans la mise en place et l’amélioration de pipelines CI/CD
- Capacité à définir des orientations techniques et à influencer les décisions d’architecture
- Expérience dans l’accompagnement et le mentoring d’ingénieurs
- Connaissances des pratiques d’observabilité, de monitoring et de gestion d’incidents
- Sensibilité aux problématiques de FinOps et d’optimisation des coûts cloud
- Excellentes compétences en collaboration avec les équipes techniques et les parties prenantes
Ce Qu’ils Offrent
- Salaire entre 90 000 € et 110 000 €
- Bonus trimestriel
- Organisation hybride avec présence régulière au siège parisien
- Astreintes rémunérées avec compensation complémentaire
- Forte autonomie et impact direct sur les choix techniques
- Perspectives d’évolution vers des responsabilités techniques stratégiques
- Environnement moderne avec des enjeux de scalabilité et de performance à grande échelle
Comment Postuler
Si vous souhaitez contribuer à la construction d’une plateforme à fort trafic tout en combinant expertise technique, architecture et leadership, n’hésitez pas à postuler pour en savoir plus sur cette opportunité de Staff Site Reliability Engineer à Paris.

To Apply for this Job Click Here
Chief Architect
City of London
£101000 - £140000
+ Data Engineering
PermanentCity of London, London
To Apply for this Job Click Here
Chief Architect
Up to £140,000 + Benefits
London (1 day per week in the office)
This is a great opportunity to join a private equity-backed financial services organisation undergoing significant technology transformation, where you can take ownership of enterprise architecture strategy and help shape the future technology landscape.
THE COMPANY:
This established financial services business provides funding solutions that enable customers to spread the cost of major annual payments. Backed by significant investment and executive sponsorship, the organisation is embarking on a large-scale modernisation programme focused on improving customer experiences, accelerating technology delivery, and embedding AI-enabled ways of working throughout the business.
THE ROLE:
You will take ownership of the enterprise architecture function, providing strategic leadership across a broad range of technology and transformation initiatives.
Key responsibilities include:
- Owning and evolving the enterprise architecture strategy.
- Providing senior architecture leadership across major transformation programmes.
- Establishing scalable cloud-native architecture patterns and standards.
- Driving the adoption of modern AI-enabled architecture and engineering approaches.
- Balancing governance, risk, and architectural control with innovation.
- Partnering with product, security, engineering, and data leaders to deliver strategic objectives.
- Challenging legacy approaches and driving modern engineering best practices.
- Shaping the architecture required to support AI, automation, and agentic engineering capabilities.
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Enterprise architecture leadership.
- Application and solution architecture.
- Cloud-native architecture and platform strategy.
- Architecture governance and technology standards.
- Leading technology transformation within complex organisations.
- Driving change and modern engineering practices.
- Executive stakeholder management.
- Developing architecture strategies aligned to AI and automation roadmaps.
THE BENEFITS:
You will receive a salary of up to £140,000, depending on experience, along with a comprehensive benefits package.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
Please note: sponsorship is not available for this position.

To Apply for this Job Click Here
Data Engineer
City of London
£50000 - £55000
+ Data Engineering
PermanentCity of London, London
To Apply for this Job Click Here
Data Engineer
London | £50,000 – £55,000 + Benefits
This is an opportunity to join a highly data-driven organisation where data sits at the heart of decision-making and operational success. You’ll play a key role in designing and building data infrastructure from the ground up, driving automation, and enabling business-wide access to reliable, high-quality data.
The Company
They are a well-established organisation with a strong digital focus and a culture of continuous improvement. Data is a core part of their strategy, supporting commercial performance, operational efficiency, and innovation across the business. They are investing in their technology and data capabilities and are looking for a Data Engineer who enjoys solving complex problems and building scalable solutions. You’ll work closely with stakeholders across multiple departments, giving you excellent exposure and influence.
The Role
You will be responsible for designing, building, and enhancing data platforms, pipelines, and automation solutions across the business.
Responsibilities include:
- Design and build SQL Server databases, including schema design, tables, views, stored procedures, and indexing
- Develop end-to-end data ingestion pipelines from APIs, third-party platforms, and operational systems
- Maintain and optimise existing ETL processes and data workflows
- Build and support Python-based automations and integrations
- Develop API-driven data solutions to improve data accessibility and operational efficiency
- Support and enhance reporting and dashboarding capabilities using tools such as Tableau or Power BI
- Partner with stakeholders across the business to deliver data solutions and solve operational challenges
- Ensure data quality, integrity, reliability, and performance across all systems
- Contribute to data structures and platforms that support advanced analytics and machine learning initiatives
Your Skills & Experience
- Strong commercial experience with SQL Server and relational database design
- Expertise in writing complex SQL queries, stored procedures, and optimising database performance
- Experience developing and maintaining ETL workflows, including SSIS
- Experience building data pipelines and integrating data from multiple sources
- Strong Python skills for automation, integrations, and data processing
- Experience working with REST APIs and system integrations
- Exposure to Microsoft Azure and cloud-based data environments
- Experience with data visualisation platforms such as Tableau or Power BI
- A proactive approach to improving systems, processes, and data quality
- Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders
What They Offer
- Opportunity to shape and influence a growing data function
- Exposure to a broad range of technologies and business challenges
- Collaborative and supportive working environment
- Strong opportunities for professional development and career progression
How to Apply
If you’re a Data Engineer looking for an opportunity to build scalable data solutions, drive automation, and make a measurable business impact, apply today.

To Apply for this Job Click Here
Medical Imaging Data Engineer
London
£650 - £700
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
Senior Data Engineer
London | £650-£700 Inside IR35
This is an opportunity to join a highly technical engineering team delivering data infrastructure that supports advanced AI, machine learning, and imaging applications. You will work on large-scale cloud-based data platforms, helping to build and optimise production systems that enable complex data processing and analytics workflows.
The Company
They are a global organisation investing heavily in modern data platforms, AI, and cloud technologies to support innovative research and technology initiatives. Their engineering teams work on complex technical challenges involving large-scale datasets, machine learning infrastructure, and cloud-native platforms. They are looking for a Senior Data Engineer to join a collaborative team focused on delivering high-quality, production-ready solutions.
The Role and Deliverables
- Design, build, operate, and automate data pipelines supporting large-scale image and structured datasets.
- Develop scalable data storage, transfer, and transformation solutions on Google Cloud Platform.
- Build and maintain production-grade Python applications and data engineering frameworks.
- Design processes to ingest, harmonise, validate, and monitor complex datasets from multiple sources.
- Work closely with software engineers and machine learning teams to deliver analysis-ready datasets and support AI workloads.
- Contribute to cloud architecture, data quality, monitoring, and operational excellence across multiple engineering projects.
Your Skills & Experience
- Strong commercial experience building production data engineering solutions using Python and SQL.
- Experience designing and maintaining ETL/ELT pipelines and scalable data platforms.
- Strong experience with Google Cloud Platform, including data storage, processing, and orchestration services.
- Capability in SQL schema design, data modelling, and working with complex data structures.
- Experience handling large datasets in cloud environments and delivering reliable, well-engineered solutions.
- Exposure to image data, computer vision, machine learning infrastructure, or related data-intensive workloads is highly desirable.
- Experience with CI/CD, DevOps practices, and cloud-native engineering approaches.
- Comfortable working independently, taking ownership of technical delivery, and operating in environments with evolving requirements.
- Familiarity with AI-assisted software development tools or agentic engineering approaches would be advantageous.
How to Apply
If you’re an experienced Senior Data Engineer with strong Python, SQL, GCP, and data platform expertise, and you’re interested in working on cutting-edge AI and data engineering projects, please apply today.

To Apply for this Job Click Here
SENIOR/STAFF/PRINCIPAL PRODUCT ENGINEER – FULL STACK
San Francisco, CA
$175000 - $300000
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
SENIOR/STAFF/PRINCIPAL PRODUCT ENGINEER – FULL STACK
SAN FRANCISCO, CA (ONSITE – 5 DAYS/WEEK)
$175,000 – $300,000 + EQUITY + BENEFITS
The Opportunity
We’re partnering with a high-growth, AI native technology company to hire a Staff/Principal Product Engineer with strong TypeScript, Node.js, and full-stack engineering experience to help build and scale an innovative AI-powered platform.
The company is transforming their industry by automating manual workflows for their enterprise clients. This is a hands-on senior IC opportunity with significant ownership over product development, technical execution, and customer experience.
The Engineering Environment
- Full-stack application development leveraging TypeScript and Node.js
- Building intelligent AI solutions to streamline complex business processes
- Developing scalable platforms and intuitive user-facing products
- Working with large datasets, document processing, and enterprise integrations
- Collaborative startup setting with a small, highly experienced engineering team
What You’ll Be Working On
- Engineer new features across the frontend and backend of the platform
- Create and improve AI-driven tools that automate manual workflows
- Lead feature development from initial design through production launch
- Partner with customers to identify challenges and deliver product enhancements
- Improve system efficiency, reliability, and overall application performance
What We’re Looking For
- 6+ years of hands-on software engineering experience
- Strong TypeScript skills with practical Node.js experience
- Track record of delivering successful, customer-facing software products
- Experience launching products or features from the ground up in 0-to-1 environments
- Excellent communication skills and ability to excel in fast-moving startup teams
Why This Role
- Join an emerging AI company experiencing significant enterprise adoption
- Build technology that modernizes and improves a large, established industry
- Influence product strategy and have meaningful technical ownership
- Collaborate closely with founders and senior engineering leaders
- Competitive salary, equity participation, and comprehensive benefits
This is an opportunity for a product-minded engineer who enjoys building from the ground up, taking ownership, and solving real customer problems through technology.

To Apply for this Job Click Here
Senior Data Engineer
London
£80000 - £85000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
SENIOR DATA ENGINEER
£85,000 + BONUS + BENEFITS
LONDON (HYBRID)
Our client is looking for someone to help build a modern cloud data platform that supports their extensive growth plans.
THE COMPANY
A business going through an exciting period of growth, the business uses data and technology to optimise pharmaceutical sourcing and supply chains.
THE ROLE
- Build and enhance scalable data pipelines using Snowflake, dbt, Airflow and Python.
- Improve platform reliability, testing, monitoring and CI/CD processes.
- Partner with Analytics, Data Science and Engineering teams to deliver data solutions.
- Engage with stakeholders to understand requirements and drive business value.
YOUR SKILLS AND EXPERIENCE
- 4+ years’ experience in Data Engineering with Strong SQL and Python skills
- Experience with Snowflake, dbt and Airflow (or similar tools)
- Exposure to CI/CD, automated testing and cloud data platforms
- Strong communication and stakeholder management skills
- Databricks/PySpark experience would be advantageous
SALARY AND BENEFITS
- £85K base salary
- Annual bonus
- Pension Contribution
- Private healthcare
- Additional employee benefits
HOW TO APPLY
Please register your interest by sending your CV to Ross McEwan through the Apply link.

To Apply for this Job Click Here
Head of Data Engineering
Amsterdam
€100000 - €130000
+ Data Engineering
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
Head of Data Engineering
Amsterdam, Netherlands (Hybrid) | €110,000 – €150,000 + Bonus + Benefits
This is a rare opportunity to take ownership of a business-critical data transformation programme at a leadership level. As Head of Data Engineering, you will lead the build-out of a modern data platform, shape engineering standards, and develop a high-performing team while working closely with senior stakeholders to deliver long-term business value.
The Company
They are a growing, data-driven organisation investing heavily in their data and AI capabilities. With a clear roadmap and strong executive sponsorship, they are modernising their data estate and building a scalable platform to support analytics, AI, and business decision-making.
The organisation is moving from strategy into execution and is seeking an experienced data engineering leader to define best practices, drive delivery, and build a team capable of supporting ambitious growth plans.
The Role
You will lead the Data Engineering function, combining people leadership, technical oversight, and strategic delivery.
Responsibilities include:
- Building, leading, and mentoring a team of Data Engineers, Analytics Engineers, and Platform Engineers
- Defining and executing the data engineering roadmap in partnership with senior leadership
- Driving delivery across platform development, data migrations, and modernisation initiatives
- Establishing engineering standards covering code quality, CI/CD, testing, documentation, and operational excellence
- Overseeing architecture decisions to ensure scalable, reliable, and secure data solutions
- Developing cloud-based data platforms that support analytics, reporting, and AI use case
- Managing stakeholder relationships across technology, product, analytics, and business teams
- Ensuring platform reliability through monitoring, incident management, and operational governance
- Supporting hiring, team development, and succession planning within the engineering function
- Championing best practices across Data Engineering, DataOps, and platform operations
Your Skills & Experience
- Strong commercial experience leading Data Engineering teams and delivering large-scale data platform programmes
- Expertise with modern cloud data platforms such as Snowflake, Databricks, Azure, AWS, or Google Cloud
- Strong understanding of data warehousing, data modelling, ETL/ELT pipelines, and orchestration tools
- Experience building and scaling engineering teams while maintaining high technical standards
- Ability to lead architectural discussions and make informed technical decisions
- Experience implementing CI/CD, automation, testing, and DataOps best practices
- Strong stakeholder management skills with the ability to translate business requirements into technical delivery plans
- Experience delivering complex transformation programmes, including migrations, consolidations, or greenfield platform builds
- Familiarity with governance, security, and compliance requirements within enterprise environments
- A hands-on leadership style with the ability to support technical teams when needed
What They Offer
- Salary between €110,000 and €150,000 depending on experience
- Performance-related bonus
- Comprehensive benefits package
- Flexible and hybrid working arrangements
- Opportunity to shape and scale an entire Data Engineering function
- Significant exposure to senior leadership and strategic decision-making
- Clear progression towards Director-level and broader Data & AI leadership responsibilities
- The chance to influence the organisation’s long-term data and AI strategy
How to Apply
If you’re an experienced Data Engineering leader looking to build teams, drive platform transformation, and make a lasting impact, apply today to discuss this opportunity in more detail.

To Apply for this Job Click Here
Platform Architect
Newport News
$165000 - $190000
+ Data Engineering
PermanentNewport News, Virginia
To Apply for this Job Click Here
Senior Platform Architect
$165,000 – $190,000
Hybrid 3-4 days/week onsite
Overview
A growing technology and professional services organization is seeking a Senior Platform Architect to define and lead the technical vision for enterprise digital platforms. This role is responsible for establishing cloud, application, integration, and data architecture standards while partnering closely with engineering teams to ensure solutions are scalable, secure, cost-effective, and operationally resilient.
The ideal candidate has successfully led the architecture of large-scale production environments, understands the tradeoffs required to support high user volumes and complex workloads, and can demonstrate experience guiding platforms from initial design through ongoing operations.
Key Responsibilities
- Own and evolve the target-state architecture across cloud, application, data, and integration domains.
- Design and implement secure, scalable cloud environments using modern landing zone strategies, network segmentation, private connectivity, governance controls, and industry-recognized architecture frameworks.
- Define API, interoperability, and integration standards across distributed systems, including event-driven architectures and enterprise messaging platforms.
- Establish data architecture patterns supporting both operational and analytical workloads using cloud-native storage, relational databases, and large-scale analytics platforms.
- Define and govern non-functional requirements including system availability, performance targets, recovery objectives, throughput expectations, and cost efficiency metrics.
- Ensure architectural decisions align with security, compliance, governance, and regulatory requirements.
- Lead architecture reviews, resolve technical design conflicts, and provide implementation guidance to engineering teams.
- Drive observability, monitoring, incident readiness, and post-incident architectural improvements.
- Produce architecture documentation, decision records, diagrams, and technical standards for stakeholders and delivery teams.
- Advise leadership on platform investments, technology selection, cost optimization, and build-versus-buy decisions.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Engineering, GIS, or a related technical discipline. Equivalent experience may be considered.
- Minimum 7 years of experience in platform architecture, solution architecture, or large-scale systems design.
- Active Secret security clearance required.
- Demonstrated experience serving as the lead architect for production systems supporting large user populations or other highly available, mission-critical environments.
- Deep hands-on expertise with Microsoft Azure, including:
- Azure Kubernetes Service (AKS)
- App Service
- Azure Functions
- Microsoft Entra ID
- Networking, storage, and managed data services
- Experience designing API and integration architectures, including authentication, versioning, contract management, and backward compatibility strategies.
- Strong knowledge of data architecture principles, including modeling, partitioning, governance, and access control.
- Experience establishing architectural standards, governance processes, and secure scalable design practices.
- Ability to translate business requirements into technology strategy, architecture decisions, and implementation guidance.
- Strong communication and documentation skills with experience presenting architectural recommendations to technical and non-technical audiences.
Preferred Qualifications
- Experience operating within regulated government or highly compliant cloud environments.
- Azure Solutions Architect Expert certification or equivalent experience.
- Experience supporting geospatial or location-based technology platforms and interoperable service standards.
- Infrastructure-as-Code expertise using Terraform or Bicep.
- Experience building CI/CD practices using platforms such as Azure DevOps or GitHub Actions.
- Proven record of leading post-incident reviews and driving platform improvements.
- Experience mentoring senior engineers and developing organizational architecture practices.

To Apply for this Job Click Here
Senior Data Engineer
London
£70000 - £100000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
SENIOR DATA ENGINEER
£100,000
LONDON
This is a unique opportunity to join a prestigious investment management business at the start of a major technology transformation. You’ll play a key role in building a brand-new cloud data platform from the ground up, working closely with investment professionals and taking ownership of critical data initiatives across the business.
THE COMPANY
Our client is a highly respected investment management firm with a long-standing heritage and a global, multi-asset investment strategy. Operating more like a sophisticated investment office than a traditional bank, they manage significant assets across public and private markets while maintaining a lean, collaborative culture.
This is a growth hire as part of a wider modernisation programme, offering the chance to help shape the future data landscape of the business and influence technology decisions from day one.
THE ROLE
- Build and develop a new cloud-based data platform, helping to establish the foundations of the firm’s future data architecture
- Migrate, redesign and modernise existing ETL pipelines, reporting processes and data workflows from legacy systems
- Work closely with investment, private equity, risk and performance teams to translate business requirements into scalable solutions
- Contribute across the full data lifecycle, including engineering, cloud infrastructure, automation, reporting and platform optimisation
- Play a highly visible role in a small technology team where your work will have direct business impact
YOUR SKILLS AND EXPERIENCE
- Strong experience in Data Engineering, ideally with exposure across infrastructure, pipelines, reporting and cloud technologies
- Financial Services experience is highly desirable, particularly within asset management, investment management or multi-asset environments
- Understanding of investment products such as private equity, derivatives, bonds and public markets
- Strong Python and SQL skills, alongside broader data engineering expertise
- Experience with Databricks, Snowflake or Microsoft Fabric would be advantageous
- CFA qualification or progress towards CFA Level 1+ would be highly beneficial
- Able to operate independently, engage stakeholders and take ownership of key initiatives
SALARY AND BENEFITS
- Up to £100,000 base salary
- Excellent pension contribution of up to 15%
- Private medical insurance for you and your family
- Life assurance, critical illness cover and income protection
- Up to £600 annual gym contribution
- 26 days holiday plus additional Christmas leave
- 15 work-from-anywhere days per year
- Sponsorship of professional qualifications
- Hybrid working model (4 days in office)
HOW TO APPLY
Please register your interest by sending your CV through to Harry Lack via the ‘Apply’ link.

To Apply for this Job Click Here
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