DEVOPS ENGINEERING TALENT SOLUTIONS
At Harnham, we recognize the unique challenges and demands of recruiting for DevOps Engineering roles. DevOps Engineers are pivotal in bridging the gap between software development, IT operations, and quality assurance.Â
Our expertise isn't limited to one sector; instead, we apply our deep understanding of DevOps requirements across various industries. Whether you’re involved in finance, healthcare, technology, or retail, our recruitment solutions are configured to meet your unique environmental and technological challenges.
WHY
HARNHAM?
We are not just recruiters; we are proven specialists in data and AI fields. This expertise allows us to understand the specific nuances of DevOps within the wider context of data operations, ensuring that we provide candidates who are not only technically proficient but also ready to lead and innovate.
Harnham's global presence is complemented by detailed local market knowledge. This combination enables us to offer a dual advantage: access to a global pool of talent and insights into regional employment dynamics, ensuring a perfect fit between our candidates and your organisational culture.
OUR
SERVICES
- Permanent Recruitment
We identify and place long-term DevOps talent who will integrate into and grow with your teams. Our focus is on finding individuals who will not just fill an immediate need but will also contribute to the strategic growth of your data infrastructure over time.
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- Contract Recruitment
Our contract recruitment services provide the flexibility to scale up or down based on your project demands. This option is perfect for meeting immediate project needs or when requiring specialised skills on a temporary basis.
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- Customized Talent Consulting
Beyond recruitment, we offer customized talent consulting services. These include talent mapping, competitive analysis, strategic workforce planning, and recruitment strategy enhancement. Tailored to prepare your organisation for future challenges, these services ensure you maintain a competitive edge in the rapidly evolving tech landscape.
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- Executive Search
We conduct specialized searches for senior and executive-level roles in DevOps Engineering, ensuring your leadership team possesses the vision and expertise to drive your strategic initiatives. Our executive search services focus on finding leaders who can transform your DevOps capabilities
Choose Harnham for your DevOps Engineering recruitment needs. Contact us today to discover how our specialised recruitment and talent solutions can advance your data and AI initiatives and strengthen your organisation's capabilities.
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
To Apply for this Job Click Here
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
To Apply for this Job Click Here
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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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.

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Senior Cloud Architect (GCP)
New York
$85 - $105
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
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
£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.

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

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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

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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.

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