ANALYTICS ENGINEERING TALENT SOLUTIONS
Analytics Engineers are vital in transforming data into directly usable formats and creating the pipelines that support business intelligence activities. At Harnham, we understand the unique blend of skills required for these roles — from expert SQL knowledge to proficiency in data modeling and familiarity with data orchestration tools. We focus our recruitment efforts on finding professionals who not only have the technical acumen but also the strategic insight to bridge the gap between data science and business applications.
Our expertise spans across multiple sectors, allowing us to effectively navigate the particular needs and challenges of each. Whether you're in finance, healthcare, retail, or technology, our bespoke recruitment strategies ensure delivery of top-tier analytics engineering talent attuned to your specific industry demands.
WHY
HARNHAM?
As established leaders in the field of data and AI recruitment, Harnham is recognized for our strategic approach to sourcing talent that drives business growth. Our extensive experience enables us to foresee industry trends and demands, ensuring we provide candidates who are not only a fit for today but are equipped to handle the challenges of tomorrow.
Leveraging our global network of recruitment specialists combined with detailed local market knowledge, Harnham offers a dual advantage. This approach ensures the delivery of recruitment solutions that are extensive in reach yet precise in fit, meeting the specific cultural and technical requirements of your organization.
OUR
SERVICES
- Full time employees: We secure top-tier permanent talent for long-term success in your analytics projects. Our candidates are meticulously selected to grow with your company and lead your analytics initiatives from the forefront.
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- Freelance Recruitment: Gain flexibility with our contract recruitment services, which allow you to respond to project-specific demands or scale operations as needed with skilled professionals who can integrate quickly and efficiently into your teams.
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- Customized Talent Consulting: Enhance your recruitment strategy with our bespoke talent consulting services, including in-depth talent mapping, competitive analysis, and strategic workforce planning. These tailored services are designed to refine your hiring process and secure your position at the forefront of industry advancements.
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Choose Harnham for specialized recruitment solutions in Analytics Engineering. Contact us today to see how our expert recruitment services can help propel your data and analytics strategies forward, ensuring your organisation maintains a competitive edge in the fast-evolving tech landscape.
Harnham is dedicated to elevating your business through innovative recruitment strategies, supported by our comprehensive understanding of the data and AI sectors.
JOBS
LATEST
OPPORTUNITIES
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Chief Data Officer
London
£150000 - £180000
+ Data Engineering
PermanentLondon
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Chief Data Officer
London| Hybrid | Up to £180,000 + Benefits
An opportunity to join a growing, regulated organisation embarking on a significant data transformation programme. This newly created Chief Data Officer role offers the chance to define strategy, build capability from the ground up, and shape how data supports business growth and decision-making.
The Company
They are an established organisation operating within a regulated sector, currently investing in technology, data, and digital transformation. With strong executive sponsorship and ambitious plans for the future, they are seeking a senior data leader to create a modern, scalable data capability.
The Role
You will take ownership of the data strategy, architecture, and delivery roadmap, helping the business unlock greater value from its data assets.
Responsibilities include:
- Defining and evolving the organisation’s data and AI strategy.
- Building a modern cloud-based data platform and engineering capability.
- Establishing data governance, analytics, and self-service insight capabilities.
- Identifying opportunities to apply predictive analytics and AI to business challenges.
- Leading and developing a high-performing data team.
- Partnering with senior stakeholders to drive data-led decision making.
- Evaluating technology options and recommending the most effective approach.
- Delivering measurable business outcomes through data initiatives.
Your Skills & Experience
- Strong experience building and scaling modern data capabilities.
- Expertise across data engineering, analytics, BI, and data architecture.
- Experience delivering cloud-based data platforms
- Strong commercial awareness and ability to connect technology decisions to business value.
- Knowledge of modern AI, automation, and emerging data technologies.
- Excellent stakeholder management and communication skills.
- Experience within a regulated environment is advantageous.
What They Offer
- Up to £180,000 salary.
- Executive ownership
- Significant influence over strategy, technology, and team design.
- Direct exposure to senior leadership.
- Competitive benefits package and long-term career progression.
How to Apply
Apply today to discuss this Chief Data Officer opportunity in more detail.

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Founding data engineer
€80000 - €100000
+ Data Engineering
PermanentNetherlands
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Founding Data Engineer
Amsterdam or London | from €80,000 + Benefits
This is an opportunity for a Data profile who wants ownership, influence, and the chance to build something from the ground up. Rather than joining a large data team and owning a small piece of the puzzle, you will define the company’s entire data landscape, from architecture and tooling to governance and reporting.
The Company
They are a growing investment organisation focused on backing innovative technology businesses. Data sits at the heart of their decision-making, but information is currently spread across multiple systems, spreadsheets, and reporting tools. They are looking for someone to build a modern, scalable data environment that will support the business for years to come.
The Role
- Build the company’s first data warehouse and centralised data platform
- Design the data architecture and recommend the technology stack
- Consolidate data from CRM systems, spreadsheets, reporting tools, and external platforms
- Develop automated data pipelines and API integrations
- Establish data governance, quality standards, and business definitions
- Partner closely with finance, operations, and investment teams
- Shape the long-term data and analytics strategy
Your Skills & Experience
- Strong commercial experience in Data Engineering, Analytics Engineering, or Data Consulting
- Experience building or transforming data environments from scratch
- Strong SQL and Python skills
- Experience with APIs, data warehousing, and modern cloud technologies
- Excellent stakeholder management and communication skills
- Understanding of investment, private equity, financial services, or portfolio data
- Degree in Finance, Economics, Mathematics, Computer Science, Engineering, or a related quantitative discipline is beneficial
- This role is particularly suited to someone coming from a consultancy or a smaller business environment. You will enjoy solving greenfield challenges, making technology decisions, and operating with a high degree of autonomy.
What They Offer
- End-to-end ownership of the data function
- Direct exposure to senior leadership
- The opportunity to build a modern data platform from day one
How to Apply
If you enjoy building rather than maintaining, and want to shape the future of a company’s data capability, apply today.

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Senior Cloud Architect (GCP)
New York
$85 - $105
+ Data Engineering
ContractNew York
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Senior Cloud Architect (GCP)
Remote (U.S. EASTERN TIME) | Contract through February 2027 (Strong Extension Potential) |$85-$105/hr (dependent on experience) | 30-40 Hours/Week
We’re partnering with a globally recognized cloud and data consulting organization supporting a Fortune 500 gaming company on a highly visible cloud and AI/ML transformation initiative. This is an immediate need for a seasoned Google Cloud Architect to step into an active program and provide architectural leadership across cloud infrastructure, data platforms, and machine learning workloads. This opportunity comes as a back-fill on a mature project already well into delivery, making it ideal for someone who enjoys solving real-world production challenges rather than spending months on strategy and planning exercises.
What You’ll Be Doing
As the Senior Cloud Architect, you’ll serve as the primary cloud architecture SME across multiple teams while partnering closely with engineering leadership, ML engineers, and business stakeholders.
Key responsibilities include:
- Providing architectural oversight for enterprise-scale Google Cloud environments
- Reviewing and validating technical designs and implementation approaches
- Supporting Kubernetes-based platforms and cloud-native services
- Designing and maintaining Infrastructure-as-Code solutions using Terraform
- Troubleshooting complex production issues and guiding root-cause analysis
- Advising engineering teams on scalability, reliability, security, and cost optimization
- Partnering with ML teams to support distributed training and inference environments
- Mentoring engineers and serving as the senior technical escalation point across workstreams
Required Experience
We’re looking for a hands-on architect who has successfully delivered cloud solutions in large-scale production environments.
You should have:
- Extensive experience with Google Cloud Platform (GCP)
- Advanced expertise with Terraform and Infrastructure-as-Code
- Strong experience with Kubernetes in production environments
- Experience creating custom ML workflows
- Deep understanding of networking, IAM, security, governance, observability, and cloud operations
- Experience supporting enterprise-scale cloud applications and platforms
- Strong stakeholder engagement and consulting experience
- Ability to quickly establish credibility and technical leadership within existing programs
Bonus Points For
- AI/ML infrastructure experience
- Distributed training environments
- Reinforcement Learning (RL) platforms
- Gaming, entertainment, or large-scale digital product experience
- Multi-cloud exposure (AWS and/or Azure)
This role is perfect for a “battle-tested” Cloud Architect who enjoys jumping into active delivery environments, solving complex technical challenges, mentoring teams, and driving architectural decisions that have immediate business impact. If you’re someone who can quickly assess a situation, earn the trust of technical stakeholders, and deliver practical cloud solutions at enterprise scale, apply here!

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Senior Data Architect
Leeds
£87000 - £90000
+ Data Engineering
PermanentLeeds, West Yorkshire
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SENIOR DATA ARCHITECT
Remote (UK) | 1 day per month onsite | £87,000 to £90,000 + Benefits
This is an opportunity to take ownership of data architecture within a major Azure Data Lakehouse transformation. You’ll play a key role in defining enterprise-wide data models, setting architecture standards, and helping the organisation transition from traditional reporting to advanced analytics.
THE COMPANY
This leading professional services organisation is investing heavily in its data and analytics capabilities. Having already modernised its infrastructure and established a cloud-based Azure data platform, they are now focused on improving data visibility, strengthening governance, and unlocking greater value from their data. Data sits at the centre of their long-term strategy, making this a highly visible role with significant business impact.
THE ROLE
You will be responsible for shaping the data architecture and modelling strategy across a modern Azure Data Lakehouse environment.
Key responsibilities include:
- Designing and governing enterprise data models across Medallion Architecture layers.
- Building scalable dimensional models using Kimball methodologies and star schemas.
- Defining modelling standards, governance frameworks, and best practices.
- Designing and maintaining curated semantic layers for reporting and analytics.
- Collaborating with Data Engineers, Analytics teams, and senior stakeholders across the business.
- Producing architecture artefacts, data models, documentation, and design standards.
- Acting as the technical authority for data modelling and architecture decisions.
- Supporting the evolution towards predictive and prescriptive analytics capabilities.
YOUR SKILLS & EXPERIENCE
- Strong hands-on Data Architecture and Data Modelling experience.
- Expertise in dimensional modelling, facts and dimensions, and Kimball methodologies.
- Experience working with Medallion Architecture and Azure-based data platforms.
- Strong understanding of semantic layers and modern cloud data environments.
- Experience establishing governance, modelling standards, and architecture best practice.
- Ability to influence stakeholders and communicate technical concepts effectively.
- Experience within regulated or complex enterprise environments would be beneficial.
WHAT THEY OFFER
- £87,000 to £90,000 salary plus benefits.
- Remote-first working with minimal travel requirements.
- The opportunity to shape architecture standards across a growing data function.
- Significant autonomy and exposure to senior business stakeholders.
- Long-term career development within a large-scale data transformation programme.
HOW TO APPLY
If you’re a Senior Data Architect with strong Azure and data modelling expertise, apply today to learn more about this opportunity.

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Senior Data Architect
Leeds
£80000 - £90000
+ Data Engineering
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
Senior Data Architect
Remote (UK) with occasional travel | £80,000 to £90,000 + benefits
This is an opportunity to take ownership of data architecture within a large-scale Azure Data Lakehouse transformation. You’ll play a key role in shaping how data is modelled, governed, and consumed across the organisation, helping to drive the transition from traditional reporting to advanced analytics and data-driven decision making.
The Company
They are a well-established UK organisation with a complex data landscape and a strong commitment to modernising their data capabilities. Having invested significantly in cloud-based data infrastructure, they are now focused on building scalable, high-quality data products that support both operational and strategic objectives.
Data is becoming increasingly central to business decision making, and this role offers the chance to influence data strategy at a senior level while remaining hands-on with architecture and modelling.
The Role
You will act as the technical authority for data architecture and modelling across a modern Azure environment.
Key responsibilities include:
- Designing and governing enterprise-wide data models across a Medallion Architecture framework
- Creating curated data models using dimensional modelling and Kimball methodologies
- Defining modelling standards, governance frameworks, and data feed specifications
- Supporting the design of semantic layers that enable reporting, analytics, and future AI use cases
- Collaborating closely with Data Engineers and Analytics Engineers in an agile delivery environment
- Producing architecture documentation, diagrams, and technical designs
- Influencing wider business systems to ensure strong data architecture principles are embedded throughout the organisation
- Driving best practice across data quality, consistency, scalability, and governance
Your Skills & Experience
- Strong hands-on experience as a Data Architect within enterprise-scale environments
- Expertise in dimensional modelling, star schemas, facts and dimensions, and Kimball methodologies
- Experience designing and implementing Medallion Architecture frameworks
- Strong knowledge of Azure-based Data Lakehouse environments
- Experience creating curated and semantic data layers for analytical consumption
- Proven ability to develop architecture standards, governance frameworks, and modelling best practice
- Experience working across the full data lifecycle, from source systems through to business-facing analytics
- Excellent stakeholder management and communication skills, with the ability to influence senior decision-makers
Desirable experience:
- Background in financial services, professional services, legal services, or similarly complex data environments
- Experience supporting organisations on their journey towards customer-centric or client-centric data models
What They Offer
- Highly flexible remote working model with occasional travel
- Significant autonomy and ownership within a major data transformation programme
- Direct exposure to senior technology and business stakeholders
- Opportunity to become the organisation’s lead authority on data modelling and architecture
- Clear opportunities to shape strategy and influence the future direction of the data platform
How to Apply
If you’re a Senior Data Architect with strong Azure Data Lakehouse and data modelling expertise, apply today to learn more about this opportunity.

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Lead Data Engineer
Remote
$175000 - $200000
+ Data Engineering
PermanentUSA
To Apply for this Job Click Here
Lead Data Engineer
Location: 100% Remote, U.S.
Employment Type: Full-Time
Compensation: $175,000-$210,000 base salary
Work Authorization: U.S. Citizens or Green Card Holders. No sponsorship available.
About the Company
A growing SaaS company focused on analytics and workflow solutions is looking for a Lead Data Engineer to join its data engineering organization. The company works with complex datasets to deliver customer-facing analytics and data solutions that help organizations turn data into actionable insights.
This is an opportunity to join a growing engineering organization where the data engineering function has a direct impact on the customer experience and product.
About the Role
The Lead Data Engineer will be a hands-on technical leader responsible for designing, building, and evolving the data pipelines and architecture that power customer-facing analytics.
This is not a pure management role. The Lead Data Engineer will remain deeply technical while providing architectural direction, mentoring engineers, establishing engineering standards, and leading complex technical initiatives.
The ideal candidate is someone who can take ownership of ambiguous problems, understand an existing data environment, evaluate architectural tradeoffs, make thoughtful technical recommendations, and drive solutions from architecture through implementation.
What You’ll Do
- Serve as the senior technical leader within the Data Engineering organization.
- Provide technical direction around architecture, data modeling, engineering practices, code quality, and complex problem-solving.
- Design, build, and maintain scalable and reliable ELT pipelines supporting customer-facing analytics.
- Own data modeling, transformations, and onboarding of new data sources.
- Lead complex initiatives from architecture and planning through implementation, testing, deployment, and ongoing support.
- Improve existing systems through automation, scalability, efficiency, reliability, and maintainability.
- Troubleshoot customer-facing data issues in partnership with Product, Implementation, Customer Success, Analytics, and Engineering teams.
- Establish engineering frameworks and standards around productivity, reliability, observability, and consistency.
- Contribute to the technical roadmap and identify opportunities to improve the broader data platform.
- Mentor and coach other data engineers.
- Evaluate architectural options, clearly communicate tradeoffs, and make technical recommendations.
- Help evolve existing data architecture thoughtfully rather than pursuing unnecessary rebuilds or greenfield solutions.
What We’re Looking For
- 7-10+ years of overall engineering experience, with significant experience in Data Engineering.
- Experience leading or providing technical direction to small engineering teams, approximately 3-8 people.
- Very strong SQL skills.
- Strong Python experience, particularly for data engineering and ELT.
- Strong data modeling experience.
- Experience designing and operating large-scale data ingestion and transformation pipelines.
- Experience with Airflow or a comparable orchestration framework.
- Linux experience.
- Experience working with large datasets and varying data quality.
- Strong understanding of data architecture and architectural tradeoffs.
- Experience improving, modernizing, or migrating existing data architectures.
- Ability to think beyond individual pipelines and understand the broader data platform.
- Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders.
- A strong technical point of view and the ability to explain why a particular technical approach is appropriate.
Nice to Have
- dbt
- Airflow/Astronomer, Dagster, or similar orchestration technologies
- PostgreSQL
- MPP database architectures
- Experience across multiple database technologies
- Vertica or similar niche/MPP database experience
- Healthcare or health-related data experience
- Experience with financial services, advertising, transactional, or other complex data environments
- Experience troubleshooting customer-facing data issues
Leadership Opportunity
This position is initially structured as a Lead-level individual contributor role rather than a people-management position.
You will work alongside a small Data Engineering team and provide technical leadership, mentorship, architectural direction, and ownership of complex initiatives.
The long-term vision is to build a more traditional engineering growth structure, creating the potential for this person to move into formal people leadership and team management as the organization grows.
Candidates should therefore have demonstrated experience leading small teams or mentoring engineers and be interested in eventually taking on broader leadership responsibility.
The Right Mindset
The strongest candidate will be someone who can walk into an existing environment and say:
“Let me understand how this works, where the problems are, what our options are, and what I recommend.”
This is not a role for someone who wants to immediately rebuild an existing platform from scratch.
The company wants an engineer who can thoughtfully work within the current environment, troubleshoot and improve what exists, and identify when architectural changes or migrations actually make sense.
You should be comfortable balancing hands-on engineering with high-level architectural thinking and understanding how individual pipelines, data models, systems, and customer needs fit together.
Interview Process
- Hiring Manager / VP of Engineering Interview
- SQL Assessment
- Technical / System Design Conversation
- Culture Fit Interview
Compensation
$175,000-$210,000 base salary
The upper end of the range is reserved for candidates who demonstrate exceptional depth across data engineering, architecture, technical leadership, and the other core requirements of the role.

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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

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Senior Data Architect
New York
$80 - $100
+ Data Engineering
ContractNew York
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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.

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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

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