DATA PRODUCT MANAGEMENT TALENT SOLUTIONS
Data Product Managers play a crucial role in bridging the gap between data science teams and commercial units, ensuring that data insights are effectively translated into strategic business initiatives.
At Harnham, we understand the unique blend of skills required for these roles, including technical data understanding, strategic insight, and product management. Our recruitment services are designed to identify and attract professionals who can drive the development and management of data-driven products and services.
No matter the industry—whether finance, healthcare, technology, retail, or beyond—our recruitment solutions are adapted to meet the specific challenges and opportunities of your sector. We ensure that the professionals we source not only meet the high technical standards required but also understand the particular nuances of your industry.
WHY
HARNHAM?
Harnham is not just a recruitment agency; we are recognized experts in the data and AI recruitment space. This specialization gives us the edge in understanding the specific demands and evolving trends within the field of Data Product Management, ensuring that we can provide candidates who are both innovators and leaders.
With a robust network of specialists spread across key global markets, combined with deep local market insights, Harnham offers a unique blend of international reach and local expertise. This approach ensures we can deliver tailored recruitment solutions that are globally informed and culturally aligned with your organizational needs.
OUR
SERVICES
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- Permanent Recruitment: We help you find long-term talent who will become integral to your team, driving your data product initiatives from concept to market. Our focus on permanent placements aims to secure candidates who will contribute to and grow with your company over time.
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- Contract Recruitment: Our contract recruitment services provide the flexibility to adapt to project-specific or interim needs. This is ideal for organisations that require agility to manage varying project cycles or need to temporarily enhance their team with specialized skills.
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- Customized Talent Consulting: Beyond mere recruitment, we offer bespoke talent consulting services tailored to your unique needs. This includes talent mapping, competitive analysis, strategic workforce planning, and enhancement of your recruitment strategies. These services are designed to optimize your talent acquisition and retention strategies, ensuring you stay ahead in a competitive market.
JOBS
LATEST
OPPORTUNITIES
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Lead Data Engineer
$175000 - $210000
+ Data Engineering
PermanentUSA
To Apply for this Job Click Here
Lead Data Engineer
Remote (USA) | $175,000-$210,000
The Role
We are looking for a Lead Data Engineer to provide hands-on technical leadership across data engineering, architecture, and data platform development.
This is a Lead/Principal-level role where you will remain hands-on while setting technical direction, mentoring engineers, and leading complex data initiatives from architecture through implementation.
What You’ll Do
- Design, build, and maintain scalable ELT pipelines and data solutions.
- Lead data architecture, modeling, engineering standards, and best practices.
- Own data transformations and onboarding of new customer data sources.
- Troubleshoot complex customer-facing data issues.
- Improve existing systems through automation, scalability, reliability, and efficiency.
- Lead projects from architecture and planning through deployment and ongoing support.
- Evaluate technical options, communicate tradeoffs, and make recommendations.
- Mentor engineers and contribute to the technical roadmap.
- Manage and lead a small team of Data Engineers, supporting their development and performance.
What We’re Looking For
- 7-10+ years of experience, including 5+ years in Data Engineering.
- Strong SQL and Python skills.
- Deep experience with ELT, data pipelines, and large-scale data ingestion.
- Strong data modeling and architecture experience.
- Experience with Airflow or similar orchestration tools.
- Experience working with large datasets and varying data quality.
- Strong architectural mindset with the ability to make independent technical decisions.
- Experience improving or evolving existing data platforms.
- Previous experience managing a small Data Engineering team is required.
- Strong communication and stakeholder-management skills.
- Experience providing technical leadership and mentoring engineers.
Nice to have: dbt, PostgreSQL, MPP databases, Astronomer/Dagster, healthcare data, and experience across multiple database technologies.
To Apply for this Job Click Here
Senior Data Privacy Architect
New York
$75 - $100
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Data Privacy Architecture Consultant
Remote, US(eastern time preferred)
WE WILL NOT BE USING AGENCIES ON THIS ROLE
This is an opportunity to influence the future design of a modern data platform with privacy, governance, and AI readiness at its core. You will partner with a highly capable data team to define a scalable architecture that removes customer PII from analytics workflows while preserving business value and operational efficiency.
The Company
They are a technology-led organization with a strong investment in data and analytics. Their teams operate within a modern cloud data environment and are focused on building a long-term, sustainable approach to privacy and data governance. As part of a strategic transformation program, they are seeking specialist expertise to help shape the next generation of their data architecture. The engagement is highly collaborative, with a strong emphasis on knowledge transfer and practical implementation planning.
The Role and Deliverables
- Design a target-state data architecture that minimizes or removes customer PII from the analytics environment.
- Define how a universal customer identifier can be used consistently across the data estate.
- Advise on identity resolution, pseudonymisation, and privacy-first warehouse design.
- Create a detailed migration strategy for existing warehouse tables and transformation models.
- Design integration requirements between the data platform and identity translation services.
- Produce implementation-ready design documentation that can be executed by internal engineering teams.
Your Skills & Experience
- Strong commercial experience designing privacy-focused data architectures.
- Expertise in identity resolution, pseudonymisation, or customer identity management within cloud data platforms.
- Experience working with Snowflake and modern data transformation frameworks.
- Strong knowledge of dbt and large-scale data warehouse migration programs.
- Experience delivering data governance, privacy, or regulatory compliance initiatives.
- Ability to produce detailed technical designs, migration plans, and architectural documentation.
- Strong stakeholder management and communication skills across technical and business audiences.
- Experience balancing data usability, governance, and operational requirements within enterprise environments.
Location: Remote, US
Rate: $75-$100 per hour
Utilization: 40 hours per week
To Apply for this Job Click Here
Senior Data Architect
New York
$80 - $100
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Senior Cloud Architect / Senior Data Architect (GCP)
Remote, US, Eastern Time (preferred)
**WE WILL NOT BE USING AGENCIES FOR THIS ROLE**
This is an opportunity to lead the architecture of a large-scale AI data platform that will support advanced AI training, inference, and data access capabilities. You will play a pivotal role in defining the technical vision, shaping cloud strategy, and establishing the architectural foundations for a highly scalable and secure platform.
The Company
They are a technology-driven organization undertaking a significant transformation of their data and AI capabilities. Their focus is on building modern cloud-native platforms that enable secure, governed access to data products at scale. You will work alongside experienced engineering and data professionals on a highly visible initiative with long-term impact.
The Role and Deliverables
- Lead discovery activities, architecture assessments, and technical design workshops.
- Define and own the solution architecture, design baseline, and architecture decision records.
- Architect a scalable Google Cloud Platform foundation across development, QA, and production environments.
- Design secure, high-availability data access services, APIs, and data delivery mechanisms.
- Establish architectural standards for identity management, entitlement controls, governance, and data security.
- Collaborate with engineering, data, and AI teams to ensure successful delivery of the architectural vision.
Your Skills & Experience
- Strong experience designing enterprise-scale cloud data platforms within Google Cloud Platform (GCP).
- Deep knowledge of cross-cloud architectures and integration involving AWS environments.
- Expertise building scalable data platforms, ingestion pipelines, and distributed systems.
- Advanced capability with Terraform and Infrastructure as Code best practices.
- Experience designing high-availability REST APIs, GraphQL services, and large-scale data delivery solutions.
- Strong understanding of IAM, access controls, tenant isolation, security governance, and compliance frameworks.
- Ability to lead technical discussions with stakeholders and produce clear architectural documentation.
- Familiarity with AI and machine learning data workflows, data products, or data-as-a-service platforms is advantageous.
Rate: $80-100/hour (depending on experience)
Utilization: 40 hours per week.
To Apply for this Job Click Here
Data Architect / Cloud Architect
$75 - $100
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Data Architect / Cloud Architect (GCP)
About Harnham
Harnham is the global leader in Data & Analytics recruitment. We partner with innovative organisations across data, cloud, AI, and technology to connect exceptional talent with impactful opportunities.
About the Client
Our client is a leading consultancy delivering a large-scale cloud and AI transformation for a well-known organisation in the digital media space. The project focuses on modernising data access, governance, and infrastructure to support next-generation AI products and services.
Role Details
- Title: Senior Data Architect / Cloud Architect
- Contract Length: 4 Months
- Start Date: 24 August
- Rate: $75-$100/hr
- Location: Remote (US based)
About the Role
We are seeking an experienced Senior Data Architect to lead the design and architecture of a complex cloud-based data platform. This individual will act as the senior technical authority across architecture decisions, helping define the platform foundation, security model, integration strategy, and delivery roadmap.
The successful candidate will work closely with consultants, engineers, and client stakeholders to create scalable, secure, and highly available solutions supporting large-scale data access and AI-driven workloads.
Key Responsibilities
- Lead architecture discovery, solution design, and technical planning activities
- Define cloud platform architecture and infrastructure standards
- Create scalable data ingestion, processing, and delivery solutions
- Design secure identity, access control, and governance frameworks
- Drive integration between cloud platforms, data systems, and event-driven services
- Serve as senior escalation point for architecture decisions and stakeholder discussions
Must Have
- Extensive experience designing enterprise-scale data platforms in Google Cloud Platform (GCP)
- Strong background delivering cloud architecture across complex environments
- Deep expertise with Terraform and Infrastructure as Code
- Experience integrating data platforms, APIs, streaming technologies, and cloud services
- Strong understanding of security, access management, governance, and compliance controls
- Excellent communication skills with experience leading technical workshops and architecture reviews
Nice to Have
- AI/ML platform or data product experience
- Exposure to Snowflake environments
- Experience with Kafka or large-scale event streaming architectures
- Data marketplace or Data-as-a-Service platform experience
- Multi-cloud architecture experience
Apply
If you’re an experienced Data Architect looking to make a significant impact on a high-profile AI and cloud transformation initiative, we’d love to hear from you.
WE WILL NOT BE ENGAGING WITH THIRD PARTIES FOR THIS SEARCH
To Apply for this Job Click Here
Data Architect (GCP)
New York
$70 - $90
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Senior Data Architect / Solution Architect (GCP)
WE WILL NOT BE PARTNERING WITH AGENCIES.
We’re partnering with a leading data consultancy supporting a major media conglomerate on the development of a next-generation AI Data Platform. This is a highly visible architecture engagement with an urgent need and a potential start date as early as August 24, 2026.
Duration: 4-month contract (mid-December wind down)
Location: Remote (U.S. Eastern Time preferred)
Extendable: Yes
Utilization: 40 hours per week
Rate: $70-$90/hour
The Opportunity
As the lead architect, you’ll serve as the technical authority responsible for designing and defining a large-scale AI and data platform that enables governed access to data products for AI training, inference, and evaluation. You’ll lead discovery efforts, establish the architecture baseline, and drive key technical decisions across a complex cloud ecosystem.
Responsibilities
- Lead architecture discovery sessions, workshops, and design reviews
- Architect enterprise-scale solutions utilizing Google Cloud Platform (GCP)
- Design secure, scalable data ingestion, processing, and delivery capabilities
- Establish cloud foundation and Infrastructure-as-Code standards using Terraform
- Design integrations across GCP, AWS, Snowflake, Kafka, and Fastly environments
- Define security, IAM, governance, entitlement, and tenant-isolation frameworks
- Partner directly with client stakeholders, engineering teams, and cloud partners to ensure successful delivery
Required Experience
- Deep expertise designing enterprise-scale data platforms on Google Cloud Platform (GCP) (required)
- Proven experience leading Solution Architecture and Data Architecture initiatives
- Strong hands-on experience with Terraform and Infrastructure as Code (IaC)
- Experience integrating complex ecosystems including Snowflake, AWS, and Kafka
- Strong understanding of API architecture, cloud security, IAM, and data governance
- Exceptional communication and stakeholder management skills
Preferred Experience
- AI/ML platform experience, including Vertex AI and modern data product architectures
- Experience building Data Marketplace or Data-as-a-Service (DaaS) platforms
- Experience operating within large-scale, multi-cloud environment
NO THIRD PARTIES OR AGENCIES.
To Apply for this Job Click Here
Data Architect (Data Privacy)
$70 - $95
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Job Title
Data Architect (Data Privacy)
Intro Harnham
Harnham is partnering with a technology-led organisation undergoing a major data transformation initiative. We are seeking a Data Privacy Architecture Consultant to help define the future state of their cloud data platform.
Intro client
Our client is investing heavily in modern data architecture, governance, and privacy capabilities. They are looking to establish a sustainable and scalable approach to managing customer data while enabling future analytics and AI initiatives.
Role Details
Role: Data Privacy Architecture Consultant
Location: Fully Remote (United States)
Pay: $70 to $95 per hour
Length: 6-month contract
Utilisation: 40 hours per week
Intro to role
This engagement focuses on designing a privacy-first architecture for a modern enterprise data platform. You will partner closely with data engineering and business stakeholders to define how customer identity should be managed while reducing the use of PII throughout analytical environments.
The outcome will be a detailed architectural blueprint, migration roadmap, and implementation recommendations that internal engineering teams can execute.
Key Responsibilities
- Design a privacy-focused target state architecture for analytics and reporting environments
- Define approaches for customer identity resolution, pseudonymization, and universal identifiers
- Create migration plans for existing warehouse assets and transformation models
- Assess impacts across reporting, analytics, operational systems, and downstream data products
- Define integration patterns between identity management services and cloud data platforms
- Produce implementation-ready technical documentation and architecture artefacts
Requirements: Must Have
- Strong experience designing privacy-centric data architectures
- Expertise in identity resolution, pseudonymization, or customer identity management
- Hands-on experience with Snowflake
- Strong dbt experience, including warehouse transformation and migration initiatives
- Experience delivering governance, privacy, or compliance-focused data programs
- Excellent stakeholder communication and documentation skills
Nice to Have
- Experience supporting AI-readiness initiatives
- Exposure to customer identity platforms or MDM solutions
- Experience designing deletion workflows or data subject rights processes
- Background in regulated industries
Outro
This is an opportunity to influence a long-term data platform strategy while solving complex privacy and governance challenges. If you enjoy designing scalable architectures that balance compliance, usability, and business value, we’d love to speak with you.
WE WILL NOT UTILIZE THIRD PARTIES FOR THIS SEARCH
To Apply for this Job Click Here
Data Architect (Data Privacy) – Remote
Boston
$80 - $100
+ Data Engineering
ContractBoston, Massachusetts
To Apply for this Job Click Here
Data Architect
**we will NOT be utilizing agencies or third parties for this role**
Location: Fully Remote (United States)
Contract Length: 6 Months
Extension Potential: Yes
Rate: $80-$100 per hour
We are partnering with a technology-led organization undergoing a significant data transformation initiative to identify an experienced Data Architect (Data Privacy Focused). This engagement offers the opportunity to shape the future-state architecture of a modern cloud data platform, ensuring privacy, governance, and AI readiness are embedded at the core of the design.
Working closely with senior data and engineering stakeholders, you will be responsible for defining a scalable architecture that removes or minimizes customer personally identifiable information (PII) from analytical environments while maintaining business value and operational effectiveness.
Key Responsibilities
- Design a target-state data architecture that minimizes or removes customer PII from analytics environments.
- Define and implement a universal customer identifier strategy across the enterprise data estate.
- Provide expertise on identity resolution, pseudonymization, and privacy-centric data warehouse design.
- Develop a comprehensive migration strategy for existing warehouse tables and transformation models.
- Define integration requirements between the data platform and identity translation services.
- Assess the impact of architectural changes across reporting, analytics, and data products.
- Establish approaches for managing data subject deletion requests within the proposed architecture.
- Provide recommendations for integrating customer feedback and qualitative data sources.
- Produce detailed architectural designs, migration plans, and implementation-ready documentation for engineering teams.
Required Experience
- Demonstrated experience designing privacy-focused data architectures within enterprise environments.
- Deep expertise in identity resolution, pseudonymization, and customer identity management.
- Strong experience working with Snowflake and modern cloud-based data platforms.
- Proven knowledge of dbt and large-scale data warehouse migration programs.
- Experience delivering data governance, privacy, or regulatory compliance initiatives.
- Ability to produce detailed technical documentation and communicate effectively with both technical and non-technical stakeholders.
- Strong stakeholder management skills and the ability to balance governance, usability, and operational requirements.
Opportunity Highlights
- Fully remote engagement within the United States.
- Opportunity to influence a high-profile enterprise data transformation program.
- Direct collaboration with senior data and engineering leadership.
- Exposure to complex challenges spanning data privacy, governance, AI enablement, and modern data architecture.
To Apply for this Job Click Here
AWS Data Architect
Richardson
$170000 - $185000
+ Data Engineering
PermanentRichardson, Texas
To Apply for this Job Click Here
Are you an architect who thrives on transforming complex data ecosystems into modern, intelligent platforms? We are partnering with a highly respected enterprise organization seeking a visionary AWS Data Architect to lead the evolution of its next-generation cloud data strategy.
This is a high-impact opportunity for an experienced architect who enjoys operating at both the strategic and technical levels, influencing enterprise-wide decisions, designing scalable cloud-native solutions, and leveraging emerging AI capabilities to create measurable business value.
You will play a pivotal role in defining the future-state architecture of a rapidly evolving data environment, driving modernization initiatives, and introducing innovative approaches that enable faster decision-making, improved customer experiences, and accelerated delivery across the organization.
Why This Opportunity Stands Out
- Own the vision and roadmap for a large-scale AWS data ecosystem.
- Influence executive-level technology strategy and architectural direction.
- Drive cloud-native modernization initiatives from concept through execution.
- Work with cutting-edge technologies including Agentic AI, Vector Databases, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP).
- Build scalable, event-driven architectures utilizing real-time and streaming technologies.
- Establish enterprise architecture patterns that accelerate engineering productivity and innovation.
- Lead and mentor high-performing technical teams while shaping best practices across the organization.
What You’ll Be Doing
As the AWS Data Architect, you will serve as a trusted advisor and strategic leader responsible for designing and guiding the organization’s data transformation journey.
Key responsibilities include:
- Defining current-state, future-state, and transitional data architectures that support long-term business objectives.
- Developing strategic roadmaps that balance business value, risk, investment, and speed to market.
- Partnering with business and technology leaders to translate organizational priorities into scalable architecture solutions.
- Designing modern data platforms that support batch, near real-time, and real-time processing.
- Building and optimizing cloud-native data integration patterns across diverse source systems and applications.
- Architecting resilient, high-performance streaming platforms leveraging Apache Kafka and AWS-native services.
- Incorporating advanced AI capabilities including vector databases, Agentic AI frameworks, MCP, and RAG architectures to unlock new business opportunities.
- Championing infrastructure automation, CI/CD pipelines, and reusable architectural patterns that improve consistency and delivery velocity.
- Driving enterprise-wide best practices around data governance, security, quality, and lifecycle management.
- Providing architectural leadership, mentoring technical teams, and fostering a culture of innovation and continuous improvement.
Team Environment
You’ll join a highly collaborative, solution-oriented technology team that values innovation, knowledge sharing, and collective success. Team members are empowered to challenge conventional thinking, exchange ideas openly, and work together to solve complex business and technical challenges.
The culture encourages:
- Continuous learning and experimentation
- Cross-functional collaboration
- Technical excellence
- Mentorship and professional growth
- Innovation through emerging technologies
What We’re Looking For
Successful candidates will bring a blend of enterprise architecture expertise, cloud transformation experience, and a passion for modern data and AI technologies.
Preferred Qualifications
- Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related discipline.
- 15+ years of experience designing and delivering enterprise data solutions and modern data architectures.
- Deep expertise building cloud-native platforms within AWS.
- Proven experience developing data frameworks, reference architectures, operating models, and enterprise-scale integration patterns.
- Strong experience with streaming architectures, data modeling, and modern data platform design.
- Demonstrated success leading large-scale modernization and transformation initiatives.
- Familiarity with emerging AI architectures, including Agentic AI, vector databases, MCP, and RAG frameworks.
- Experience influencing senior stakeholders and leading enterprise architecture decisions.
- TOGAF certification or equivalent enterprise architecture framework experience preferred.
Ideal Candidate Profile
We’re seeking a strategic architect who is excited by transformation, energized by innovation, and motivated by the opportunity to build what comes next. This individual combines deep technical expertise with business acumen, communicates effectively with executive stakeholders, and enjoys mentoring teams while delivering meaningful outcomes at enterprise scale.
To Apply for this Job Click Here
Data Modeller
London
£600 - £700
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Data Modeller
Location: Hybrid, London
Contract: 6 Months
IR35: Inside IR35
Rate: £600 – £700 per day
Start Date: September
This is an opportunity to shape the future of enterprise data within a large-scale transformation programme. You’ll play a pivotal role in defining data modelling standards, building an enterprise data model that supports AI and self-service analytics, and establishing best practices that will influence future programmes across the organisation.
The Company
They are a large, well-established FTSE 100 organisation investing heavily in the modernisation of their data landscape. As part of a significant enterprise transformation, they are consolidating multiple data platforms to create a scalable, future-ready data environment. Their focus is on enabling advanced analytics, AI capabilities, and improved decision-making through a robust enterprise data strategy. You will join a collaborative data function working closely with business and technical stakeholders.
The Role and Deliverables
- Design enterprise logical and physical data models across multiple business domains.
- Develop and implement a repeatable enterprise data modelling framework, methodology, and playbook.
- Define and promote data modelling standards, principles, and best practices across the organisation.
- Translate complex business requirements into scalable data models in collaboration with architects, engineers, and business analysts.
- Build enterprise data models that support AI initiatives, self-service analytics, and future data products.
- Contribute to data governance objectives and support the wider enterprise data unification strategy.
Your Skills & Experience
- Strong experience delivering enterprise data modelling as a core discipline.
- Deep understanding of enterprise data modelling methodologies, including Kimball, Inmon, and dimensional modelling.
- Familiarity with Data Vault approaches and broader enterprise modelling concepts.
- Ability to design logical and physical data models from first principles without reliance on modelling software.
- Comfortable communicating data models through workshops, whiteboards, Visio, Excel, or other visual techniques.
- Strong SQL and Python skills.
- Experience working within modern cloud data platforms and analytics environments.
- Knowledge of Medallion Architecture and modern data transformation approaches.
- Experience with Microsoft Fabric, Databricks, Snowflake, or comparable cloud data platforms.
- Strong stakeholder management skills with the ability to explain complex modelling concepts to both technical and non-technical audiences.
- Experience influencing standards, facilitating workshops, and gathering business requirements.
How to Apply
If you are passionate about enterprise data modelling and want to define the foundations of a long-term data strategy, apply today to discuss this contract opportunity in more detail.
To Apply for this Job Click Here
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Industry Hub
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News & Blog
With over 10 years experience working solely in the Data & AI sector our consultants are able to offer detailed insights into the industry.
Visit our Blogs & News portal or check out our recent posts below.
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Testimonials
Client and
candidate
testimonials
A trusted partner of professionals across the globe.
We understand the challenges our customers face and offer the
recruitment solutions needed to drive business success through Data & AI.
Candidate – Digital Media and Analytics
I've recently got a short-term contract role through Harnham, and things couldn't have gone better! My recruiter was incredibly helpful throughout the entire process. They also provided incredible admin support so that I could focus on the actual job in hand, rather than having to spend too much time dealing with these matters.
Candidate /
Digital Media and Analytics
Client – Director of Customer Data Science – Apparel
The team at Harnham have been outstanding in helping our company build a market-leading data science team. Harnham’s communication is great, and the recruiter’s take a consultative approach that’s really focused on provided value for both their clients and their candidates. They provide strong candidates that help us fill our roles with high achievers who are also a great fit for our culture.
Client /
Director of Customer Data Science – Apparel
Candidate – Chief Data Officer
It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
Candidate /
Chief Data Officer
Candidate – Market Research Analyst
Thanks to Harnham, I am now in a role that suits me. My recruiter was able to quickly identify the skills I had to offer and match me up with his client. It was a win-win for everyone. I was given great advice throughout the process, and I also appreciated the follow-ups that I received.
Candidate /
Market Research Analyst
Client – Director of People Operations
We’ve been collaborating with Harnham to recruit some key positions for our company, and they have been incredible partners. They team has been great and efficient. They understood our needs perfectly and provided us very talented candidates. We'll keep collaborating with them in the future. Thank you for your excellent job!
Client /
Director of People Operations
Client – Data Direction – Broadcast Media
I have worked with Harnham for over 2 years now as our main Analytics Recruiter partner and I am very pleased with the overall service and the people we have hired via Harnham. Harnham’s team is very good at understanding our recruitment needs and always come back with relevant and well scanned CVs, which saves me precious time.
Client /
Data Direction – Broadcast Media
Candidate – Senior Data Engineer
I've been a Senior Data Engineer for about 4-5 years and Harnham is one of the best recruitment agencies I worked with. There was a time when my offer fell through and the recruiter I was working with at Harnham jumped in to the rescue and scheduled interviews for me within a couple of days. Really good agency and some great people.
Candidate /
Senior Data Engineer
Candidate – Data Analyst
I’ve had a great experience with Harnham. The recruiter provided great advice and ensured that I understood everything, and even followed up with me after I started my new role to see how I was settling in. I would recommend Harnham as a great recruitment company for anyone looking for a role in data and analytics.
