DATA ENGINEERING AND BIG DATA
TALENT SOLUTIONS
Processing Big Data has become crucial to countless businesses. Those who decide to pursue a career within Big Data face complex development challenges, too tough for relational database systems. After all, there is no Data Science without Data Engineers.
Whilst businesses may have vast quantities of data at the ready, it holds no real value unless it can be stored, harnessed and utilised. It’s estimated that most UK companies have at least 100 terabytes of data stored which could be used for various purposes around the business, as well as newly accessible hard-to-process sources such as web data, image data, and social media data.
This is where those who work in Data Engineering become extremely valuable, as they develop Data Platforms that allow this kind of volume to be processed and used by Data Scientists and analysts across the business.
WHY
HARNHAM?
OUR
SERVICES
-
Permanent and Contract Recruitment: We offer both permanent and contract recruitment solutions, adapting flexibly to support the dynamic requirements of your Big Data and Data Engineering projects.
Â
-
Executive Search: Our executive search service focuses on identifying and securing top-tier leaders in the Data Engineering domain who can advance your strategic goals and technological advancements.
Â
-
Industry-Specific Expertise: Our operations span multiple industries, providing specialized recruitment solutions tailored to the distinctive challenges and opportunities of your sector.
Â
Contact us today to discover how our custom talent solutions can bolster your organization's Data Engineering prowess.
JOBS
LATEST
OPPORTUNITIES
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Data Analyst
Austin
$125000 - $140000
+ Data Engineering
PermanentAustin, Texas
To Apply for this Job Click Here
Data Analyst
Location: Austin, TX or Miami, FL (Hybrid, 4 days onsite)
Compensation: Up to $140,000 base + Sign-On Bonus
Work Authorization: U.S. Citizen or Green Card Holder only. No sponsorship available.
A rapidly growing financial services organization is seeking a Data Analyst to join its expanding analytics team. This role will partner closely with Finance, Compliance, HR, and business leaders to deliver reporting, analytics, and data-driven insights across the organization.
What You’ll Do
- Build and enhance reporting and analytics solutions for business stakeholders.
- Analyze complex datasets and translate findings into actionable insights.
- Partner with cross-functional teams to solve business problems using data.
- Support data pipelines, reporting infrastructure, and data quality initiatives.
- Develop dashboards and visualizations to drive decision-making.
What We’re Looking For
- Strong SQL skills (primary technical requirement).
- Experience with Tableau (or similar BI tools), Databricks, and dbt.
- Strong analytical and problem-solving abilities.
- Experience working directly with business stakeholders.
- Bachelor’s degree in Mathematics, Engineering, Information Systems, or a related quantitative field preferred.
Ideal Candidate
- Highly detail-oriented with a strong quality mindset.
- Able to bridge technical and business conversations.
- Comfortable owning projects from requirements gathering through delivery.
- Thrives in a fast-paced, high-growth environment.
Apply today to join a growing team with significant visibility, impact, and long-term career growth opportunities.

To Apply for this Job Click Here
Staff Data Engineer
Austin
$215000 - $245000
+ Data Engineering
PermanentAustin, Texas
To Apply for this Job Click Here
Staff Engineer, Data Engineering
Fully Remote – within the US | Up to $220,000 Base
Seeking a senior-level Data Engineering leader to drive enterprise data architecture, scalable data platforms, and AI-powered initiatives across multiple business units. This role combines hands-on engineering with technical leadership, influencing data strategy, architecture standards, and cross-functional collaboration.
Key Requirements:
- 8+ years in Data Engineering, Data Architecture, or related field
- Strong experience with Snowflake, BigQuery, or similar cloud data platforms
- Expertise building large-scale data pipelines (batch and streaming)
- Python, Data Architecture, and distributed data systems experience
- Background with AI/ML, LLMs, or production AI solutions
- Proven technical leadership, mentorship, and architecture ownership
- Experience with Kafka, Spark, Airflow, Kubernetes, or similar technologies preferred
Work Authorization: GC or USC only.
Location: Fully Remote.

To Apply for this Job Click Here
QA Engineer
Rotterdam
€60000 - €75000
+ Data Engineering
PermanentNetherlands
To Apply for this Job Click Here
QA Engineer (Automation)
Rotterdam, Netherlands | Competitive Salary + Benefits
This is an excellent opportunity for a QA Engineer with a passion for test automation to join a technology-focused organisation undergoing continued digital growth. You will play a key role in improving software quality, driving automation best practices, and helping deliver reliable products used by a large customer base.
The Company
They are a fast-growing digital business with a strong focus on technology, innovation, and customer experience. Their engineering teams work in a collaborative environment where quality is embedded throughout the development lifecycle. The organisation invests heavily in modern tools, automation, and scalable systems to support ongoing growth. This role offers the chance to influence testing strategy while working alongside experienced product and engineering professionals.
The Role
- Design, develop, and maintain automated test frameworks and test suites.
- Improve software quality through effective automation and continuous testing practices.
- Collaborate with developers, product teams, and engineers to define testing requirements.
- Identify, investigate, and document defects and support their resolution.
- Contribute to CI/CD pipelines and help integrate automated testing into deployment processes.
- Monitor test results and provide clear insights on product quality and performance.
- Support the development of quality assurance standards and testing best practices.
- Drive continuous improvement across testing processes, tools, and methodologies.
Your Skills & Experience
- Strong commercial experience in QA Engineering with a focus on test automation.
- Experience building and maintaining automated testing frameworks.
- Knowledge of modern programming or scripting languages used in test automation.
- Experience working with web application testing and API testing.
- Familiarity with CI/CD environments and automated deployment workflows.
- Understanding of software development lifecycles and agile delivery methodologies.
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management capabilities.
What They Offer
- Competitive salary and comprehensive benefits package.
- Hybrid working options and workplace flexibility.
- Access to modern technologies, tools, and engineering practices.
- Opportunities to contribute to testing strategy and automation initiatives.
- Clear career progression within a growing technology environment.
- A collaborative culture that supports learning, development, and knowledge sharing.
How to Apply
If you are a QA Engineer with strong automation skills and a passion for improving software quality, apply today to discuss this opportunity in more detail.

To Apply for this Job Click Here
Senior Reliability Engineer
Rotterdam
€80000 - €81000
+ Data Engineering
PermanentRotterdam, South Holland
To Apply for this Job Click Here
Senior Site Reliability Engineer (SRE & AI Platform Operations)
Location: Netherlands (Hybrid) | Salary: Competitive + Benefits
This is an exciting opportunity for a Senior Site Reliability Engineer to play a key role in the reliability, scalability, and performance of a growing AI-enabled platform. You will work at the intersection of infrastructure, automation, and AI operations, helping to build resilient systems that support innovative products and services at scale.
The Company
They are a technology-led organisation focused on delivering high-quality digital experiences to a global customer base. With a strong emphasis on innovation, automation, and operational excellence, they continue to invest in modern cloud infrastructure and AI-driven capabilities. Their collaborative environment encourages knowledge sharing, continuous improvement, and technical ownership. This role offers the chance to influence platform reliability while supporting the adoption of emerging technologies.
The Role
- Design, build, and maintain reliable, scalable cloud infrastructure.
- Improve platform availability, performance, and operational resilience.
- Develop and enhance monitoring, alerting, and observability capabilities.
- Automate infrastructure management and operational processes.
- Support the operation and reliability of AI and machine learning platforms.
- Collaborate with engineering teams to improve deployment, testing, and release processes.
- Drive incident response, root cause analysis, and continuous service improvements.
- Contribute to platform security, compliance, and best practice engineering standards.
Your Skills & Experience
- Strong commercial experience in Site Reliability Engineering, Platform Engineering, or DevOps.
- Expertise with cloud platforms such as AWS, Azure, or Google Cloud.
- Strong knowledge of Infrastructure as Code tools, including Terraform or similar technologies.
- Experience with containerisation and orchestration technologies such as Docker and Kubernetes.
- Hands-on experience with monitoring, logging, and observability solutions.
- Strong understanding of CI/CD pipelines and automation practices.
- Experience supporting production environments with high availability requirements.
- Knowledge of AI, machine learning infrastructure, or AI platform operations would be highly beneficial.
- Excellent problem-solving, communication, and stakeholder engagement skills.
What They Offer
- Competitive salary package.
- Performance-related incentives and comprehensive benefits.
- Hybrid working and flexibility to support work-life balance.
- Exposure to modern cloud technologies and AI platforms.
- Career progression opportunities within a growing technology function.
- A collaborative environment focused on learning, innovation, and continuous improvement.
How to Apply
If you are an experienced Senior Site Reliability Engineer with a passion for cloud infrastructure, automation, and AI platform operations, apply today to learn more about this opportunity.

To Apply for this Job Click Here
Director of Enterprise Data
$250000 - $300000
+ Data Engineering
PermanentTexas
To Apply for this Job Click Here
Director of Data
Location: Remote (US)
Salary: $250,000 – $300,000 + 20% bonus + benefits
This is a high-impact leadership opportunity to shape the future of enterprise data within a large-scale, mission-driven organisation. You’ll lead a sizeable data engineering function and play a pivotal role in transforming how data powers AI, digital experiences, and business decision-making across the enterprise.
The Company
They are a large, financially strong organisation operating at significant scale within a highly regulated environment. With millions of customer interactions, complex operational ecosystems, and substantial investment in AI and digital transformation, data sits at the heart of their long-term strategy. Leadership is focused on moving beyond traditional reporting towards real-time, AI-enabled data products and conversational experiences.
The Role
You will be responsible for leading the enterprise data engineering organisation, defining the platform strategy, and enabling scalable, AI-ready data products.
Key responsibilities include:
- Define and execute the enterprise data platform strategy and roadmap
- Lead a team of approximately 60 data professionals across a blended permanent and contractor workforce
- Own the delivery of scalable data platforms, pipelines, APIs, streaming capabilities, and real-time integrations
- Drive platform reliability, performance, observability, data quality, and cost optimisation
- Partner with Data Science, AI Engineering, Governance, and Product teams to deliver AI-ready data products
- Lead the shift from traditional dashboard-driven analytics to AI-powered, conversational data consumption
- Establish standards for data modelling, metadata, lineage, governance, and platform operations
- Influence enterprise-wide modernisation initiatives with strong executive visibility
Your Skills & Experience
- Strong leadership experience within enterprise data engineering and platform organisations
- Deep, hands-on experience with Snowflake in a large-scale production environment
- Expertise across cloud data platforms, ELT frameworks, data operations, streaming, and APIs
- Proven success leading large engineering teams and managing blended permanent and contract resources
- Experience building modern, scalable data platforms that support AI, machine learning, or GenAI initiatives
- Strong understanding of data governance, quality, metadata, lineage, and operational excellence
- Excellent stakeholder management and the ability to influence senior leadership
- Experience within healthcare, financial services, retail, or another regulated industry is advantageous
What They Offer
- Base salary of $250,000 to $300,000
- 20% annual bonus
- Comprehensive healthcare and retirement benefits
- High-profile leadership role reporting into senior executive leadership
- Opportunity to shape enterprise data strategy during a major AI and digital transformation programme
- Significant scope, visibility, and long-term career growth
How to Apply
If you’re an enterprise data leader with deep Snowflake expertise and a passion for building AI-ready data platforms at scale, apply today to discuss this opportunity in confidence.

To Apply for this Job Click Here
Director of Product Engineering
London
£130000 - £150000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Director of Product Engineering
London | Up to £150,000
Hybrid (4 Days per Week in Office)
This is an exceptional opportunity for a senior technology leader to shape the future of a growing Data & AI business. You’ll play a pivotal role in building and scaling a high-performing Product Engineering function, driving the development of innovative data-driven products used by enterprise clients.
The Company
This organisation develops sophisticated products that combine customer data, advanced analytics, AI, and software applications to help businesses make better commercial decisions. With an established client base and ambitious growth plans, they are investing heavily in their engineering capability to create scalable, repeatable, and reliable product solutions. Their culture values technical excellence, innovation, and continuous improvement, providing a strong platform for senior leaders to make a meaningful impact.
The Role
You will:
- Lead multidisciplinary teams across Data Science, Data Engineering, Platform Engineering, and Application Development.
- Drive technical strategy, architecture, and engineering excellence across the product portfolio.
- Own the end-to-end delivery of scalable, production-ready data and AI solutions.
- Provide hands-on technical leadership through architecture reviews, problem-solving, technical validation, and code reviews where appropriate.
- Build strong engineering practices across software development, data platforms, testing, deployment, and operational support.
- Develop and mentor technical leaders, creating a culture of accountability, learning, and continuous improvement.
- Champion the adoption of AI-enabled development practices to improve quality and delivery speed.
- Collaborate with senior stakeholders and enterprise clients to provide technical leadership on complex initiatives.
- Influence the evolution of cloud, data, and application platforms, ensuring they support future growth.
Your Skills & Experience
- Strong experience leading engineering, data, and analytics teams within a product-led environment.
- Commercial expertise across software engineering, data engineering, and data science functions.
- Hands-on knowledge of cloud technologies, particularly Azure and modern data platforms.
- Strong understanding of Python, SQL, data architecture, distributed systems, and production environments.
- Experience delivering machine learning, AI, or advanced analytics solutions into production.
- Ability to balance strategic leadership with technical involvement in complex projects.
- Strong stakeholder management skills with experience engaging both technical and executive audiences.
- Passion for building teams, improving engineering standards, and driving organisational change.
What They Offer
- Salary up to £150,000.
- Hybrid working with four days per week in their London office.
- Significant influence over technology strategy, architecture, and product direction.
- Opportunity to build and scale a high-performing Product Engineering organisation.
- Exposure to cutting-edge AI, machine learning, and data-driven product development.
- Excellent career progression within a rapidly growing business.

To Apply for this Job Click Here
Solutions Architect – Knowledge Graph
Amsterdam
€130000 - €140000
+ Data Engineering
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
Solution Architect / Technical Lead
Amsterdam, Netherlands
€100,000 – €140,000 + Benefits
Competitive Freelance Day Rate
This is an opportunity to shape the future of knowledge-driven solutions within a leading international professional services environment. Working at the intersection of knowledge graphs, AI, data architecture, and enterprise technology, you will play a key role in designing and delivering strategic platforms that enable smarter access to information across a global organisation.
The Company
They are a well-established international organisation with a strong reputation for innovation and excellence. Operating across multiple jurisdictions, they invest heavily in technology, data, and AI to enhance the services they provide to clients worldwide.
As part of a growing digital and data function, they are building advanced knowledge management capabilities and modern information architectures. This role will be instrumental in defining how knowledge graph technologies support enterprise search, AI applications, and data-driven decision-making.
The Role
As a Solution Architect / Technical Lead, you will provide technical leadership for the design and implementation of knowledge graph solutions across the organisation.
Key responsibilities include:
- Define and lead the architecture for enterprise-scale knowledge graph platforms
- Work closely with business stakeholders, data teams, and technology teams to translate requirements into technical solutions
- Design semantic data models, ontologies, and graph-based information architectures
- Lead technical delivery across internal teams and external partners
- Drive best practice in knowledge representation, metadata management, and data governance
- Support the integration of knowledge graphs with AI, machine learning, search, and analytics platforms
- Provide architectural guidance on cloud infrastructure, scalability, security, and performance
- Influence technology strategy and roadmap decisions relating to knowledge and AI capabilities
- Mentor engineers and technical specialists while promoting engineering excellence
Your Skills & Experience
- Strong commercial experience designing and delivering knowledge graph solutions
- Expertise with graph databases and semantic technologies such as RDF, OWL, SPARQL, or similar frameworks
- Experience developing enterprise data architectures and information management solutions
- Strong understanding of ontology design, taxonomy management, and knowledge representation
- Experience integrating knowledge graphs with AI, NLP, search, or machine learning applications
- Ability to lead technical discussions with both business and technical stakeholders
- Experience working within complex, international enterprise environments
- Knowledge of cloud platforms such as Azure, AWS, or Google Cloud
- Excellent communication and stakeholder management skills
- Previous experience in legal, professional services, financial services, or other knowledge-intensive sectors is advantageous but not essential
What They Offer
- Permanent salary of €100,000 – €140,000 depending on experience
- Alternatively, a competitive freelance day rate for contract candidates
- Opportunity to shape a strategic knowledge graph capability from the ground up
- Exposure to large-scale international programmes focused on AI, data, and digital transformation
- Flexible and hybrid working arrangements in Amsterdam
- Access to senior stakeholders and meaningful architectural decision-making
- Long-term career progression within a growing data and technology function
How to Apply
If you are a senior Solution Architect or Technical Lead with strong knowledge graph expertise and are interested in driving enterprise-scale data and AI initiatives in Amsterdam, please apply to discuss the opportunity further.

To Apply for this Job Click Here
QA Engineer
London
£60000 - £75000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
QA Automation Engineer
London (Hybrid, 2 days per week) | Up to £75,000
Join a growing technology business that is investing heavily in AI-assisted engineering, automation, and modern software development. This is an opportunity to play a key role in shaping quality engineering practices while helping launch and scale a new client-facing platform.
The Company
A fast-growing technology business in the financial services space, developing innovative products that help users make more informed financial decisions. They operate with cross-functional engineering squads and a strong focus on innovation, automation, and continuous improvement.
The Role
- Build and improve automation frameworks for web applications and APIs
- Develop automated regression and functional testing solutions
- Support the delivery of a new client-facing web platform
- Work closely with developers and product teams to improve software quality
- Use AI tools to accelerate testing, debugging, and test creation
- Contribute to CI/CD processes and testing strategy
Your Skills & Experience
- Strong QA automation engineering experience
- Expertise in API and UI testing
- Experience with Playwright, Selenium, or similar tools
- Knowledge of Java or Kotlin
- Strong understanding of HTML, CSS, JavaScript, and SQL
- Experience with CI/CD pipelines and Agile environments
- Comfortable using AI tools within an engineering workflow
What They Offer
- Salary up to £75,000
- Hybrid working with flexibility
- 25 days annual leave
- Enhanced parental leave
- Pension and salary sacrifice schemes
- Private healthcare options
- Study support and professional development
- Mental health and wellbeing support
- Dog-friendly office
- Potential equity review after probation
How to Apply
Apply today to learn more about this opportunity and discuss whether it could be the right next step in your career.

To Apply for this Job Click Here
Senior Analytics Engineer
City of London
£75000 - £90000
+ Data Engineering
PermanentCity of London, London
To Apply for this Job Click Here
Senior Analytics Consultant
Remote (UK) | £70,000 – £90,000 + Quarterly Bonus + Commission Opportunities
Are you a Senior Analytics Consultant looking to work on complex, high-impact analytics projects with leading organisations? This is an opportunity to join a specialist data consultancy where you’ll have significant ownership, direct client exposure, and the chance to shape modern analytics solutions using some of the most sought-after technologies in the market.
The Company
They are a specialist data and analytics consultancy focused on helping organisations design, build and scale modern analytics capabilities. Working across a broad range of industries, they partner with clients to deliver cloud-based analytics platforms, semantic modelling, governance frameworks and AI-enabled analytics solutions.
The business has built a strong reputation through delivery excellence, long-term client relationships and deep expertise across the modern data stack. Their collaborative culture provides consultants with direct access to clients, decision-makers and solution architecture responsibilities from day one.
The Role
You will work closely with clients to design and deliver modern analytics solutions while acting as a trusted consultant throughout the project lifecycle.
Responsibilities include:
- Delivering analytics and data engineering solutions using Google Cloud, BigQuery, dbt and Looker
- Designing scalable data models, semantic layers and reporting environments
- Leading technical discussions and workshops with client stakeholders
- Advising on analytics strategy, governance and self-service reporting capabilities
- Managing multiple client engagements and balancing competing priorities
- Supporting solution architecture and platform design decisions
- Identifying risks, resolving blockers and taking ownership of project outcomes
- Mentoring junior consultants and contributing to internal best practice initiatives
- Supporting business growth through client relationship management and opportunity identification
- Contributing to innovation initiatives across AI, conversational analytics and analytics engineering
Your Skills & Experience
To be successful in this Senior Analytics Consultant role, you will have:
- Strong commercial experience with Google Cloud Platform (GCP)
- Proven expertise in BigQuery, dbt and Looker
- Previous consulting or client-facing project delivery experience
- Excellent SQL and data modelling skills
- Experience building modern analytics and reporting solutions
- Strong stakeholder management and communication abilities
- Experience leading technical discussions with both technical and non-technical audiences
- Knowledge of Git, version control and CI/CD practices
- A proactive, ownership-focused approach to delivery
- Experience balancing multiple concurrent projects and deadlines
Experience with modern data stack tools, analytics governance or AI-enabled analytics solutions would be advantageous.
What They Offer
- Fully remote UK working model
- Quarterly team meetups
- Clear progression opportunities within a growing consultancy
- Exposure to cutting-edge analytics, semantic layer and AI projects
How to Apply
If you are an experienced Senior Analytics Consultant with strong Google Cloud, BigQuery, dbt and Looker expertise and are looking for a role that combines technical delivery, consulting and client leadership, apply today to learn more.

To Apply for this Job Click Here
CAN’T FIND THE RIGHT OPPORTUNITY?
GET IN TOUCH
today
If you can’t see what you’re looking for right now, send us your CV anyway – we’re always getting fresh new roles through the door.
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.
What Does an AI Engineer Do?
What Does an AI Engineer Do? Job Description, Responsibilities and Skills AI Engineers turn artificial intelligence from…
How Much Does an AI Engineer Make in the UK?
How Much Does an AI Engineer Make in the UK? AI Engineers are among the most sought-after…
How to Become an AI Engineer in the UK
How to Become an AI Engineer in the UK AI Engineering is one of the fastest-growing careers…
Why Fintech’s AI Talent Pool Is Smaller Than It Looks
By Luc Simpson-Kent, Business Manager – Harnham The share of US job postings requiring AI skills increased…
The Growing Demand for Commercially Driven Analysts
By Lauren McAlister, Senior Recruitment Consultant – Harnham A big trend we’re seeing in the analytics market…
AI Driven Data – Built in the North and Midlands | How Data Engineers are Using AI to Build Better Data Pipelines
Across organisations, AI is rapidly changing how data-driven teams operate, from how insights are generated to how…
Hiring for Agentic AI in the Netherlands: What We’re Seeing
Recently, we’ve been running a few searches in the Netherlands for people with experience in agentic AI….
AI Driven Data – Built in the North and Midlands | AI in CRO and Experimentation
Across organisations, AI is rapidly changing how data-driven teams operate, from how insights are generated to how…
How Tri-State Insurers Are Using AI to Combat Rising Fraud in 2026
By Conor Larkin, Associate Vice President – Harnham Insurance fraud costs the U.S. industry over $40…
AI in Private Equity: How Talent Strategy Drives Portfolio Value Creation
by Nick Mandella, Director at Harnham. Most PE firms are investing in AI, but returns remain mixed….
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.








