DATA PLATFORM ENGINEERING TALENT SOLUTIONS
Harnham's talent solutions are finely tuned to meet the unique demands of Data Platform Engineering roles. We understand the critical importance of these positions in developing and managing robust, scalable data infrastructure that supports big data and analytics capabilities.Â
Our targeted approach ensures we connect our clients with professionals who not only possess the necessary technical skills but also the innovation and foresight to drive your projects forward.
WHY
HARNHAM?
As a leading authority in data recruitment, our track record is built on successfully placing highly qualified candidates who excel in their fields. Our approach is based on a deep understanding of the data landscape and its evolution, ensuring we bring you candidates who are prepared to meet both current and future challenges.
Our global presence paired with local market expertise allows us to source the best talent worldwide while ensuring a perfect fit for your company's culture and strategic goals. This unique combination maximizes recruitment efficiency and effectiveness, providing you with a competitive edge.
OUR
SERVICES
- Full-Time Employees
We source long-term talent who will become integral to your team, helping to drive your data platform projects from conception to completion. Our permanent recruitment solutions focus on finding candidates who will contribute to and grow with your organisation over time.
- Contract Recruitment:
Our contract recruitment services offer you the flexibility to adapt to changing project demands and short-term needs. This is ideal for scaling your workforce up or down depending on your project lifecycle requirements, providing you with agility in a fast-paced market.
- Customized Talent Consulting
Beyond filling roles, we offer bespoke talent consulting services that include talent mapping, competitive analysis, workforce planning, and strategic recruitment guidance. These services are designed to optimise your talent acquisition strategy and ensure you are well-prepared to face future industry developments.
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Executive Search
We conduct specialized searches for senior and executive-level roles in data platform engineering, ensuring your leadership team has the vision and expertise to drive your strategic initiatives. Our executive search services focus on finding leaders who can transform your data platform capabilities.
Contact us today to learn more about our services and how we can assist in propelling your data initiatives to new heights.
JOBS
LATEST
OPPORTUNITIES
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Principal Data Architect
London
£90000 - £117500
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
PRINCIPAL DATA ARCHITECT
£90k – £117.5k
LONDON
This is a senior, client-facing leadership role for a Principal Data Architect who combines deep technical expertise with commercial acumen. The role stands out for its focus on shaping data strategy at enterprise scale while playing a key role in pre-sales, stakeholder engagement and revenue generation within a consulting environment.
THE COMPANY
They are a global consulting organisation specialising in data, technology and transformation within complex enterprise environments. Data architecture sits at the core of their delivery, supporting modernisation, regulatory change and advanced analytics. The business has a strong internal data community and promotes progression based on performance rather than tenure.
THE ROLE
- Own and lead end-to-end data architecture across multiple client engagements.
- Define data architecture strategy, principles and roadmaps aligned to business objectives.
- Act as a senior advisor to client stakeholders, influencing data and technology decisions.
- Provide technical leadership and assurance across data platform design and delivery.
- Mentor and develop architects and engineers within project teams.
- Contribute to internal standards, best practice and the growth of the data architecture capability.
YOUR SKILLS AND EXPERIENCE
- Strong experience operating as a Principal-level Data Architect in complex, enterprise environments.
- Proven track record in pre-sales, business development and shaping data-led solutions.
- Confidence presenting to senior stakeholders and influencing at C-suite and executive level.
- Deep knowledge of modern data platforms, architecture patterns and governance.
- Ability to balance strategic thinking, commercial responsibility and hands-on architectural leadership.
SALARY AND BENEFITS
- Life insurance
- 25 days annual leave
- 10% Bonus
- Full Private Medical Insurance via Bupa Healthcare
- Maximum pension contribution of 8% din the first 2 years
HOW TO APPLY
Please register your interest by sending your CV to Nihal Singh through the ‘Apply’ link
To Apply for this Job Click Here
Senior Data Architect
London
£70000 - £87500
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
SENIOR DATA ARCHITECT
£87,500
LONDON
THE COMPANY
Our client is a global management and technology consultancy specialising in financial services and energy. With a strong presence in the UK and globally, they are known for delivering end-to-end transformation projects across data, cloud, and analytics.
They continue to experience high demand across their data function and are investing heavily in growing their Data Architecture capability.
THE ROLE
You will join as a Senior Data Architect, working closely with clients to design and deliver modern data platforms and architecture solutions.
Key responsibilities include:
- Designing and implementing scalable cloud-based data architectures
- Leading data architecture workstreams across transformation programmes
- Delivering hands-on data modelling and solution design
- Working closely with engineering and business teams across the full lifecycle
- Engaging with stakeholders to translate business requirements into technical solutions
- Supporting data migrations from legacy systems to modern cloud environments
YOUR SKILLS AND EXPERIENCE
- Proven experience as a Data Architect (not purely engineering-focused)
- Strong Financial Services experience (banking, capital markets, insurance, or wealth)
- Background in consulting or client-facing environments
- Experience with cloud platforms (Azure preferred, AWS/GCP also considered)
- Strong data modelling and architecture design capability
- Experience delivering data migration or transformation programmes
- Strong communication and stakeholder management skills
SALARY AND BENEFITS
- £70,000 – £87,500 base salary
- Discretionary bonus
- Medical
- Hybrid working
HOW TO APPLY
Please apply via the link or send your CV to Harry Lack through the “Apply” link to be considered.
To Apply for this Job Click Here
Principal Data Architect
London
£90000 - £117500
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
PRINCIPAL DATA ARCHITECT
£117,500
LONDON
THE COMPANY
Our client is a global management and technology consultancy specialising in financial services and energy. With a strong presence in the UK and globally, they are known for delivering end-to-end transformation across data, cloud, and digital.
Due to continued demand, they are expanding their senior Data Architecture capability, hiring experienced Principal-level consultants to lead complex engagements.
THE ROLE
You will join as a Principal Data Architect, owning architecture strategy across major client engagements and contributing to business growth.
Key responsibilities include:
- Owning and defining data architecture strategy across client programmes
- Leading pre-sales, RFP responses, and business development activities
- Managing senior client stakeholders and driving revenue opportunities
- Providing thought leadership across data architecture and transformation
- Overseeing delivery quality and mentoring senior team members
- Leading large-scale data migration and cloud transformation programmes
YOUR SKILLS AND EXPERIENCE
- Proven experience as a Principal / Lead Data Architect within a consulting environment
- Strong Financial Services experience (banking, capital markets, insurance, or wealth)
- Demonstrated pre-sales, BD, or revenue ownership experience
- Strong expertise across cloud platforms (Azure preferred, AWS/GCP also considered)
- Experience delivering complex, large-scale data transformation programmes
- Excellent stakeholder management and communication skills
- Strong understanding of modern data architecture and modelling
SALARY AND BENEFITS
- £90,000 – £117,500 base salary
- Medical
- Hybrid working
HOW TO APPLY
Please apply via the link or send your CV to Harry Lack through the “Apply” link to be considered.
To Apply for this Job Click Here
Principal Data Architect
London
£90000 - £117000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Principal Data Architect – Hybrid – London – No Sponsorship Available
About the Role
We are seeking an experienced and visionary Principal Data Architect to join a leading consultancy in the financial services sector. This strategic role involves leading complex, high-profile data initiatives that drive innovation and transformation for major financial institutions.
The Company
Our client is a globally recognized consultancy specializing in technology and business transformation within financial services. Known for fostering an entrepreneurial culture and championing diversity, they empower their teams to deliver impactful solutions in a collaborative and inclusive environment.
Key Responsibilities
- Lead large-scale data architecture projects, providing strategic direction and expert guidance.
- Partner with senior technology leaders to develop and implement modern data strategies.
- Design and deliver innovative solutions for data management, governance, and cloud migration.
- Oversee the development of robust data platforms using cutting-edge cloud technologies.
- Manage project teams, mentor junior staff, and support business development initiatives.
Ideal Candidate Profile
- Extensive experience in enterprise data architecture, strategy, and implementation.
- Strong expertise in cloud technologies (AWS, Azure, GCP) with relevant certifications highly desirable.
- In-depth knowledge of data modeling, data lake design, and metadata management tools.
- Proven ability to design secure, scalable, and cost-effective data solutions in cloud ecosystems.
- Experience in the financial services sector, with a track record of success in complex environments.
- Outstanding leadership and stakeholder management skills, with a collaborative and innovative mindset.
Why Join Us?
- Work on transformative projects with leading financial institutions.
- Join a global network of data strategists, architects, and engineers.
- Enjoy a non-hierarchical, inclusive culture that values your expertise.
- Take advantage of extensive learning and career development opportunities.
- Access competitive family-friendly benefits, including enhanced leave and wellness programs.
If you’re passionate about data innovation and ready to lead groundbreaking projects, we encourage you to apply for the Principal Data Architect role today.
To Apply for this Job Click Here
Data Modeller (Contractor)
London
£650 - £720
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
The Company
This market-leading real estate investment business is a major player across the UK and Europe, managing a high-value portfolio of logistics and industrial assets. With a strong focus on leasing, operational efficiency, and long-term asset performance, data is at the heart of how they optimise their portfolio.
As they continue to scale, they are investing heavily in modern data platforms (Databricks + Microsoft Fabric) to unlock deeper insight across leasing, asset performance, and financial reporting.
The Role
They are looking for a Data Modeller to play a critical role in transforming a currently fragmented and complex data landscape into a scalable, structured, and reusable data foundation.
This is a highly business-facing role, ideal for someone who understands real estate or property data and can translate that into clear, structured data models.
You will define and implement logical and physical data models, helping to create a standardised “cookie-cutter” modelling approach that can be reused across multiple use cases, from core financial reporting to operational leasing insights.
A key part of the role will involve working with complex, legacy datasets and bringing structure and consistency, ensuring data is properly categorised (for example leasing costs and asset-level data) and usable across the business.
Key Responsibilities
- Design and develop conceptual, logical, and physical data models
- Create a standardised and reusable modelling framework across the business
- Translate real estate and leasing business requirements into structured data models
- Work closely with data engineers to enable scalable implementation
- Partner with stakeholders to define how data should be modelled and consumed
- Support use cases across financial reporting, leasing analysis, and asset performance
- Bring clarity and structure to legacy and complex datasets
- Contribute to building a centralised data modelling function
Your Skills & Experience
- Strong experience in data modelling (logical and physical)
- Proven ability to work with complex or legacy datasets
- Strong SQL-based modelling experience
- Experience working in Azure environments (Databricks and Fabric preferred)
- Ability to engage with both technical and business stakeholders
- Experience creating reusable, scalable data models
Desirable
- Background in real estate, property, or other asset-heavy industries
- Experience working with leasing data, asset management, or property portfolios
- Understanding of financial data in a real estate context
Why Apply
- Work with a high-profile real estate investment business
- Play a key role in shaping a modern, centralised data function
- Influence how data is structured across a large-scale asset portfolio
- Join a highly collaborative and communicative team
- Opportunity to leave a lasting impact through reusable data architecture
Interview Process
- 45-minute initial discussion
If you’re a Data Modeller with real estate experience looking to step into a role where you can genuinely shape data foundations, this is a strong opportunity to make an impact.
To Apply for this Job Click Here
Data Engineer
Manhattan
$160 - $200
+ Data Engineering
PermanentManhattan, New York
To Apply for this Job Click Here
Data Engineer
Location: San Francisco OR New York City
This will be an onsite role, expectations are that you are in the office 3-4x per week
Compensation: Base $160,000 – $200,000 plus bonus
This role sits at the intersection of data engineering and investment analytics, responsible for building the data foundations that power AI systems, portfolio insights, and advanced analytics.
Key Responsibilities
- Build and maintain production-grade data pipelines powering AI systems, including ingestion from internal platforms, external vendors, and unstructured data sources
- Ensure data quality, consistency, and reliability across datasets used for AI applications and portfolio monitoring
- Collaborate with infrastructure teams on data architecture, integration, and security requirements
- Develop portfolio analytics solutions, including dashboards, external data integration platforms, and investment performance analysis
- Support analytics applications through engineering improvements and AI-assisted data processing workflows
- Provide quantitative and technical support to investment teams on live transactions using internal tools
- Build and manage external data vendor integrations, including APIs, schema documentation, and data lineage tracking
Requirements
- 2-4 years of experience in data engineering, building and maintaining production pipelines that feed GenAI systems
- Strong proficiency in SQL and Python
- Experience working with unstructured data is a must
- Experience with modern data stack tools (e.g. Snowflake, dbt, Airflow or equivalents)
- Experience with cloud data infrastructure (AWS), including ETL/ELT patterns and API integrations
- Exposure to datasets used in AI/ML workflows (e.g. embeddings, vector stores, retrieval pipelines) is a strong plus
- Familiarity with AI-native development tools and workflows (e.g. LLM-based coding assistants)
- Strong analytical mindset with attention to data quality and pipeline reliability
- Experience building dashboards and monitoring systems
- Strong communication and collaboration skills across technical and non-technical stakeholders
- Experience in financial datasets or financial services is beneficial but not required
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a quantitative discipline
Please note: this role is not eligible for visa sponsorship and we are unable to accept C2C or contractor arrangements.
To Apply for this Job Click Here
Data Engineer
San Francisco
$160 - $200
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
Data Engineer
Location: San Francisco OR New York City
This will be an onsite role, expectations are that you are in the office 3-4x per week
Compensation: Base $160,000 – $200,000 plus bonus
This role sits at the intersection of data engineering and investment analytics, responsible for building the data foundations that power AI systems, portfolio insights, and advanced analytics.
Key Responsibilities
- Build and maintain production-grade data pipelines powering AI systems, including ingestion from internal platforms, external vendors, and unstructured data sources
- Ensure data quality, consistency, and reliability across datasets used for AI applications and portfolio monitoring
- Collaborate with infrastructure teams on data architecture, integration, and security requirements
- Develop portfolio analytics solutions, including dashboards, external data integration platforms, and investment performance analysis
- Support analytics applications through engineering improvements and AI-assisted data processing workflows
- Provide quantitative and technical support to investment teams on live transactions using internal tools
- Build and manage external data vendor integrations, including APIs, schema documentation, and data lineage tracking
Requirements
- 2-4 years of experience in data engineering, building and maintaining production pipelines that feed GenAI systems
- Strong proficiency in SQL and Python
- Experience working with unstructured data is a must
- Experience with modern data stack tools (e.g. Snowflake, dbt, Airflow or equivalents)
- Experience with cloud data infrastructure (AWS), including ETL/ELT patterns and API integrations
- Exposure to datasets used in AI/ML workflows (e.g. embeddings, vector stores, retrieval pipelines) is a strong plus
- Familiarity with AI-native development tools and workflows (e.g. LLM-based coding assistants)
- Strong analytical mindset with attention to data quality and pipeline reliability
- Experience building dashboards and monitoring systems
- Strong communication and collaboration skills across technical and non-technical stakeholders
- Experience in financial datasets or financial services is beneficial but not required
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a quantitative discipline
Please note: this role is not eligible for visa sponsorship and we are unable to accept C2C or contractor arrangements.
To Apply for this Job Click Here
Enterprise Data Architect
New York
$20000 - $185000
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
This is a true greenfield opportunity to take an existing Databricks proof of concept and turn it into a scalable, production-grade data lakehouse powering analytics and AI across the organization.
Why This Role
- Greenfield architecture ownership
- Direct access to senior leadership
- High visibility across analytics and AI initiatives
- Real-world impact on globally recognized projects
What You’ll Do
- Architect and build Databricks on AWS
- Design a modern lakehouse architecture (Databricks + Snowflake)
- Define scalable data pipelines and integration patterns
- Partner with Info Systems and DevOps teams
- Drive cost optimization and platform scalability
- Establish governance, standards, and technical roadmap
- Shape the future of analytics and AI across the firm
What We’re Looking For
- 10+ years in data architecture / engineering
- Strong expertise in Databricks, AWS, and Snowflake
- Proven experience building enterprise data platforms end-to-end
- Experience in greenfield environments
- Strong business partnership and stakeholder communication skills
Nice to Have
- Experience with design or engineering data
- Collaboration with DevOps teams
- Interest in analytics, ML, or AI
Location: New York, NY – Hybrid
If you’re excited to build a data platform from scratch and drive real-world impact at global scale, apply now!
To Apply for this Job Click Here
Data Governance Manager
New Malden
£70000 - £75000
+ Data Engineering
PermanentNew Malden, London
To Apply for this Job Click Here
Data Governance Manager
Hybrid London (1 day/week)
Up to £75,000 + Bonus + Benefits
We’re hiring a Data Governance Manager to help build trusted, well-governed data foundations across a growing, tech-led insurance business. This is a hands-on role shaping how data supports analytics, AI, and decision-making across the organisation.
Why this role?
-
Own and deliver a company-wide data governance strategy.
-
Work in a modern, cloud-based environment (GCP today – AWS/Azure experience welcome).
-
Shape data ownership, quality, lineage, and access control.
-
Hire and manage a Data Quality Analyst.
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Hybrid working: 1 day per week in the London office.
-
Salary up to £75,000 plus bonus and benefits.
What you’ll do:
-
Design and embed scalable data governance frameworks.
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Define data domains, ownership, and stewardship with engineering and business teams.
-
Implement standards for data quality, metadata, lineage, and documentation.
-
Support compliance, privacy-by-design, and responsible data access.
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Improve data literacy and governance adoption across teams.
What we’re looking for:
-
Experience delivering data governance in modern, cloud-based data platforms.
-
Strong understanding of metadata-driven governance and analytics/AI data needs.
-
Experience with data catalogues, quality, and access control tooling.
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Confident communicator across technical and non-technical stakeholders.
Nice to have:
-
Regulated industry experience (insurance/FS).
-
Exposure to dbt or modern data tooling.
Cloud note: GCP experience is a bonus, not a requirement – strong AWS or Azure backgrounds are welcome.
To Apply for this Job Click Here
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Industry Hub
HARNHAM
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.
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 – 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
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
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 – 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.
Candidate /
Data Analyst
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 – 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.
