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 esteemed position as a global leader in data recruitment stems from our deep expertise in Big Data and Data Engineering, supported by hundreds of dedicated specialists located across the United States, Europe, and the United Kingdom.
Our extensive network enables us to deliver exceptional recruitment services, expertly matching our clients with top-tier Data Engineering talent.
We acknowledge the distinct challenges and requirements of each organization's data infrastructure.
Therefore, our recruitment strategies are meticulously tailored, emphasizing a thorough understanding of and alignment with your specific business objectives and data technological needs.
OUR
SERVICES
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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.
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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.
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Industry-Specific Expertise: Our operations span multiple industries, providing specialized recruitment solutions tailored to the distinctive challenges and opportunities of your sector.
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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.
ServiceNow Developer (HRSD / ITSM)
Minneapolis
$80 - $120
+ Data Engineering
ContractMinneapolis, Minnesota
To Apply for this Job Click Here
ServiceNow Developer (HRSD / ITSM)
Harnham, the leading recruitment specialist in Data and AI, is currently partnering with a growing consultancy delivering innovative ServiceNow solutions to enterprise clients across multiple industries.
- Role – ServiceNow Developer (HRSD / ITSM)
- Location – Minneapolis, MN (Hybrid)
- Pay – $80 – $120 per hour
- Length – Full-time
- Utilization – 40 hours per week
- Benefits – Employees are eligible for health, dental, vision, and 401(k) benefits
As a ServiceNow Developer, you will play a key role in delivering high-quality ServiceNow solutions, focusing on either HR Service Delivery (HRSD) or IT Service Management (ITSM). You will work within a collaborative, cross-functional team, partnering with stakeholders, architects, and consultants to design and implement scalable solutions that drive efficiency and business value.
Key Responsibilities:
- Design, develop, and implement ServiceNow solutions across HRSD or ITSM modules
- Configure workflows, forms, business rules, UI policies, and client scripts
- Collaborate with business stakeholders to gather requirements and translate them into technical solutions
- Develop integrations using REST/SOAP APIs, MID Server, and IntegrationHub
- Support platform enhancements, upgrades, and ongoing maintenance
- Perform testing (unit, system, and UAT support) and troubleshoot system issues
Requirements:
- Bachelor’s degree or equivalent experience
- 3+ years of ServiceNow development experience
- Hands-on expertise in either:
- HRSD (Case Management, Knowledge, Employee Service Center, Lifecycle Events), or
- ITSM (Incident, Problem, Change, Request Management)
- Strong knowledge of JavaScript, Glide API, and ServiceNow scripting frameworks
- Experience with integrations (REST/SOAP APIs)
- Experience working in Agile/Scrum environments
This is an excellent opportunity for a ServiceNow Developer looking to join a fast-growing consultancy, work on enterprise-scale projects, and broaden their expertise across multiple ServiceNow modules while delivering impactful digital transformation initiatives.
To Apply for this Job Click Here
ServiceNow Developer (HRSD / ITSM)
Denver
$80 - $120
+ Data Engineering
ContractDenver, Colorado
To Apply for this Job Click Here
ServiceNow Developer (HRSD / ITSM)
Harnham, the leading recruitment specialist in Data and AI, is currently partnering with a growing consultancy delivering innovative ServiceNow solutions to enterprise clients across multiple industries.
- Role – ServiceNow Developer (HRSD / ITSM)
- Location – Denver, CO (Hybrid)
- Pay – $80 – $120 per hour
- Length – Full-time
- Utilization – 40 hours per week
- Benefits – Employees are eligible for health, dental, vision, and 401(k) benefits
As a ServiceNow Developer, you will play a key role in delivering high-quality ServiceNow solutions, focusing on either HR Service Delivery (HRSD) or IT Service Management (ITSM). You will work within a collaborative, cross-functional team, partnering with stakeholders, architects, and consultants to design and implement scalable solutions that drive efficiency and business value.
Key Responsibilities:
- Design, develop, and implement ServiceNow solutions across HRSD or ITSM modules
- Configure workflows, forms, business rules, UI policies, and client scripts
- Collaborate with business stakeholders to gather requirements and translate them into technical solutions
- Develop integrations using REST/SOAP APIs, MID Server, and IntegrationHub
- Support platform enhancements, upgrades, and ongoing maintenance
- Perform testing (unit, system, and UAT support) and troubleshoot system issues
Requirements:
- Bachelor’s degree or equivalent experience
- 3+ years of ServiceNow development experience
- Hands-on expertise in either:
- HRSD (Case Management, Knowledge, Employee Service Center, Lifecycle Events), or
- ITSM (Incident, Problem, Change, Request Management)
- Strong knowledge of JavaScript, Glide API, and ServiceNow scripting frameworks
- Experience with integrations (REST/SOAP APIs)
- Experience working in Agile/Scrum environments
This is an excellent opportunity for a ServiceNow Developer looking to join a fast-growing consultancy, work on enterprise-scale projects, and broaden their expertise across multiple ServiceNow modules while delivering impactful digital transformation initiatives.
To Apply for this Job Click Here
Analytics Engineer (Contract)
London
£500 - £525
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
Contract Analytics Engineer
London
This is an opportunity to join a forward-thinking data team working at the intersection of modern analytics engineering and AI-enabled workflows. The project focuses on building scalable, high-impact data models within a complex marketing data environment, with a clear mandate to improve data quality, usability, and downstream insights.
The Company
They are a digitally mature organisation investing heavily in their data platform and analytics capabilities. With an established data team and strong technical leadership, they are evolving their stack towards more automated, AI-assisted workflows. The business places significant emphasis on marketing data and customer engagement, with analytics at the core of decision making. Their environment encourages autonomy, ownership, and collaboration across technical and business stakeholders.
The Role and Deliverables
* Lead the migration of key marketing data pipelines, including email and segmentation datasets, into a modern data stack
* Develop and refine scalable dbt models that underpin a reliable, single source of truth for marketing data
* Translate complex business logic and reporting requirements into structured, maintainable data models
* Manage downstream impacts of data changes, ensuring consistency across reporting and analytics outputs
* Communicate effectively with technical and non-technical stakeholders, owning project delivery and updates throughout the migration
* Improve documentation, data quality, and usability to support broader business understanding and adoption
Your Skills & Experience
* Strong experience with dbt and SQL, with the ability to review, optimise, and structure complex transformations
* Familiarity with modern BI tools such as Looker, or similar, with an understanding of underlying SQL logic
* Experience working with marketing data, particularly email, segmentation, or customer engagement datasets
* Capability to manage data migrations and understand downstream reporting impacts
* Comfortable working in environments adopting AI-assisted development workflows, including tools that support code generation and review
* Strong communication skills, with the ability to translate data concepts into business context and influence decision making
* Experience with tools such as Hex or similar analytics environments is beneficial
How to Apply
If you are an Analytics Engineer looking to take ownership of a high-impact migration project within a modern data stack, please apply with your latest CV.
To Apply for this Job Click Here
Senior Analytics Engineer
London
£80000 - £85000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Senior Analytics Engineer
London/Hybrid
Up to £80,000
The overview
This is a high-impact opportunity for a Senior Analytics Engineer to shape how data is modelled, transformed, and delivered within a modern data environment. You will work at scale, building trusted datasets that power decision-making across the business while helping to raise the bar for analytics engineering practices.
The Company
They are a fast-growing, data-driven organisation with a strong focus on delivering meaningful outcomes for their customers. Their product sits at the intersection of technology and financial wellbeing, supporting individuals in making informed decisions for their future. With a collaborative culture and a clear mission, they are investing heavily in their data capabilities.
The Role
- Design, build, and maintain scalable data transformation pipelines to create reliable, analysis-ready datasets
- Develop and own data models and outputs that support reporting and advanced analytics
- Work closely with analysts and stakeholders to understand requirements and deliver actionable data solutions
- Improve data quality, governance, and documentation across the data platform
- Promote best practices in analytics engineering and support the wider team in adopting them
- Contribute to the evolution of the data architecture as the platform continues to scale
Your Skills & Experience
- Strong commercial experience in analytics engineering or working closely with data analytics teams
- Advanced SQL skills within modern data platforms such as Snowflake, BigQuery, or Databricks
- Experience building and automating data pipelines and workflows
- Working knowledge of dbt for data transformation
- Proficiency in Python for data manipulation or engineering tasks
- Experience delivering data to BI tools such as Power BI or similar platforms
- Understanding of data modelling principles and data warehouse design
- Collaborative mindset with the ability to translate business needs into technical solutions
To Apply for this Job Click Here
Database Platform Engineer
New York
$145000 - $175000
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
Database Platform Engineer
New York – Finanical District (4 days onsite)
Salary: $145,000 to $175,000 + 50% bonus
This is a high impact Database Platform Engineer role where you will build and scale a modern, automated data platform used across trading, research, and engineering teams. You will move beyond traditional DBA work into platform engineering, with strong ownership, visibility, and the opportunity to shape the evolution of core data infrastructure.
The Company
They are a global investment firm with a strong engineering and data focus, supporting advanced trading strategies across international markets. Their culture emphasises collaboration, technical excellence, and continuous improvement. Technology is central to their success, with ongoing investment in infrastructure and tooling. Teams are lean, highly skilled, and work closely with business stakeholders.
The Role
- Build and maintain an automated, self service database platform centred on Microsoft SQL Server
- Develop automation and tooling using Python, PowerShell, and SQL
- Design and implement infrastructure as code for repeatable deployments
- Optimise database performance through execution plan analysis, indexing, and query tuning
- Own database design including schema, constraints, and versioning strategies
- Implement and enhance CI CD pipelines using tools such as Jenkins, Azure DevOps, or GitHub Actions
- Set up monitoring and observability using Prometheus and Grafana
- Collaborate with trading, research, and engineering teams to deliver scalable and reliable data solutions
- Contribute to the evolution of the data platform towards modern architectures and tooling
Your Skills and Experience
- Strong commercial experience in Microsoft SQL Server engineering, including design, optimisation, and automation
- Proficiency in SQL alongside programming in Python and PowerShell
- Experience building automated systems and working with infrastructure as code
- Deep understanding of database performance tuning, including execution plans and indexing strategies
- Solid fundamentals in database design, transactions, and schema management
- Familiarity with version control and CI CD practices
- Experience with monitoring tools such as Prometheus and Grafana
- Strong communication skills and the ability to work in cross functional teams
- Desirable experience includes exposure to distributed data platforms such as Spark or Trino, modern storage formats such as Iceberg, or technologies including Kafka, PostgreSQL, Snowflake, and Kubernetes.
What They Offer
- Competitive base salary with performance related bonus
- High visibility role with impact across the organisation
- Opportunity to work on a modernisation journey, evolving towards next generation data platforms
- Collaborative and technically driven environment
- Clear path for growth and increasing ownership of critical systems
How to Apply
If you are interested in this Database Platform Engineer opportunity in New York, apply now to learn more.
To Apply for this Job Click Here
Vice President of Data Engineering
$190000 - $200000
+ Data Engineering
PermanentTexas
To Apply for this Job Click Here
Vice President, Data Engineer (Finance Data Platforms)
Location: Dalls, Texas
Salary: $190,000 – $200,000 + 50% bonus
This is a high-impact opportunity to lead data engineering and platform initiatives at scale within a complex, global financial environment. You will play a central role in shaping how financial and risk data is standardised, governed, and delivered across multiple business units, with the ability to influence both architecture and strategy while remaining hands-on.
The Company
They are a globally recognised financial services organisation supporting a broad range of investment, risk, and operational functions. Their central engineering teams work across business lines to deliver scalable, enterprise-grade data platforms and shared services. With a strong focus on data governance, regulatory alignment, and platform modernisation, they are investing heavily in building unified data capabilities. This is a collaborative, forward-thinking environment working at the intersection of finance and technology.
The Role
You will take ownership of key data engineering initiatives, acting as both a technical leader and hands-on contributor across data platform development.
- Lead the design and delivery of scalable data engineering pipelines and systems
- Drive data standardisation and convergence across finance, risk, and treasury domains
- Define and influence data architecture, modelling frameworks, and platform strategy
- Improve data lineage, governance, and regulatory reporting capabilities
- Work with distributed engineering teams to deliver high-quality, production-grade solutions
- Mentor engineers and contribute to a strong technical culture
- Collaborate with business stakeholders to translate complex requirements into data solutions
- Support the adoption of cloud-based data platforms and distributed processing technologies
Your Skills & Experience
- Strong commercial experience in data engineering and backend development
- Expertise in distributed data processing tools such as Spark and related frameworks
- Experience with modern data platforms such as Databricks or AWS Glue
- Strong data modelling experience, ideally within financial or regulatory systems
- Proficiency in Java or Python for large-scale data applications
- Experience designing and delivering scalable, cloud-based solutions (AWS preferred)
- Proven ability to lead projects, mentor engineers, and influence technical direction
- Background in financial services or other regulated environments
What They Offer
- Exposure to large-scale, enterprise data transformation programmes
- Clear progression opportunities within a global engineering organisation
- Collaborative culture with strong investment in modern data technologies
- Opportunity to shape firm-wide data strategy and standards
How to Apply
If you are interested in leading high-impact data engineering initiatives within a global financial environment, please apply with your CV to learn more.
To Apply for this Job Click Here
Staff Data Engineer
$220000 - $240000
+ Data Engineering
PermanentUSA
To Apply for this Job Click Here
Staff Engineer Data Engineering
Location: Remote (US)
Salary: $220,000 to $240,000
This is a high-impact opportunity for a senior data engineering leader to shape the future of AI-driven products within a globally distributed, data-rich environment. You will play a critical role in bringing together multiple data platforms, influencing technical direction, and enabling next-generation capabilities powered by machine learning and generative AI.
The Company
They are a global technology organisation supporting digital media and content businesses with advanced analytics and data-driven solutions. Their platform is trusted by leading publishers and media brands worldwide to optimise audience engagement and monetisation strategies. With a strong focus on innovation, they are investing heavily in AI and machine learning to enhance their product offering. Their teams operate in a collaborative, fully remote environment with a strong emphasis on technical excellence and continuous improvement.
The Role
- Own and evolve cross-platform data architecture across multiple product lines
- Lead technical strategy to unify data systems and enable integrated product capabilities
- Drive the development of AI-enabled data systems, including LLM-backed features
- Design and scale data pipelines, ensuring reliability, observability, and performance
- Partner closely with product, engineering, and machine learning teams
- Mentor engineers and elevate technical standards across distributed teams
- Evaluate and implement emerging technologies in AI and data engineering
- Contribute to roadmap planning and technical decision-making at a senior level
Your Skills and Experience
- Strong commercial experience in data engineering or data architecture within complex environments
- Expertise in Python and modern data engineering tooling
- Experience with Kafka and cloud data warehouse technologies such as Snowflake or similar
- Proven ability to design and scale large data platforms, including streaming and batch pipelines
- Hands-on experience building AI or LLM-powered products in production environments
- Strong communication skills, with the ability to influence both technical and non-technical stakeholders
- A track record of mentoring engineers and raising team capability
- Experience working across multiple systems or business units is highly valuable
- Exposure to technologies such as Spark, Elasticsearch, BigQuery, or Kubernetes is beneficial
What They Offer
- Learning and development support, including technical training and conferences
- The opportunity to shape AI and data strategy in a globally recognised organisation
How to Apply
Apply now to discuss how this opportunity could align with your experience and career goals.
To Apply for this Job Click Here
Senior Full Stack Engineer
Cambridge
$160000 - $180000
+ Data Engineering
PermanentCambridge, Massachusetts
To Apply for this Job Click Here
Senior Full Stack Engineer (Patient App / Care Platform)
Cambridge, MA (Kendall Square) – 3 days/week onsite
$160,000 – 180,000 Base + Equity
THE COMPANY
Harnham is partnering with an early-stage, AI-driven healthcare company focused on transforming oncology care through advanced technology. This company is building a biomedically individualized platform aimed not only at early cancer detection, but also at improving patient outcomes through better long-term survivorship care.
Their platform integrates EMR data, AI-driven insights, and patient-facing applications into a unified care delivery system. This allows healthcare providers to better manage care while empowering patients with interactive tools for their recovery and long-term health journey.
With strong funding (~$30M+ raised) and a rapidly growing engineering team, this is an opportunity to join at a critical stage and help shape both the product and technical architecture.
RESPONSIBILITIES
- Build and scale patient-facing applications across web and mobile platforms.
- Develop backend services to support patient workflows, care coordination, and clinical integrations.
- Design and implement frontend components for engaging and interactive patient experiences.
- Integrate structured and unstructured medical data into application workflows.
- Build and maintain systems that interface with EMR platforms and clinical data systems.
- Implement AI-enabled features, including integrations with LLM APIs and intelligent workflows.
- Own end-to-end delivery of large product features from design through deployment.
- Collaborate closely with product, clinical, and engineering teams to deliver impactful solutions.
- Contribute to system architecture decisions across frontend and backend systems.
SKILLS AND EXPERIENCE
- 5-8 years of experience in full stack software engineering.
- Strong backend development experience using Python and Django.
- Frontend development expertise using React.
- Experience building and shipping large-scale, user-facing product features.
- Strong understanding of APIs, system design, and data integration.
- Experience working in regulated environments such as enterprise SaaS, healthcare, or fintech.
- Ability to work independently in a fast-paced, startup environment with high ownership.
- Strong problem-solving skills and ability to deliver scalable, production-ready solutions.
PREFFERED EXPERIENCE
- Experience within healthcare, EMR/EHR integrations, or clinical systems.
- Experience building mobile-first or mobile-enabled applications.
- Familiarity with AI integrations, including LLM APIs (e.g., Claude, Opus).
- Experience working on telehealth or patient-facing applications.
- Exposure to complex data environments involving structured and unstructured datasets.
BENEFITS
The compensation package includes a competitive base salary and early-stage equity, offering strong upside potential within a high-growth startup environment.
HOW TO APPLY
Please submit your CV via the Apply link on this page to register your interest.
KEY TERMS
Fullstack Engineering | Healthcare Technology | Patient Applications | EMR Integration | AI | LLM | Python | Django | React | APIs | Data Integration | Clinical Workflows | Telehealth | Mobile Applications | Startup | Digital Health
To Apply for this Job Click Here
Data Engineer
London
£40000 - £45000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
DATA ENGINEER
£45,000
UK
This is a great opportunity to join a growing data team as they scale out a modern cloud-based platform. You’ll gain hands-on experience with Databricks and work closely with experienced engineers in a highly collaborative environment, making it an ideal role for someone early in their career looking to develop quickly.
THE COMPANY
Our client is a well-established professional services organisation with a strong UK presence, currently investing heavily in its data and AI capabilities. They are undergoing a transformation from on-premise systems to a modern Azure Databricks Lakehouse, with strong internal backing and a clear roadmap for growth. This role sits within a scaling team and offers excellent long-term development opportunities.
THE ROLE
- Build and maintain data pipelines within a modern Databricks environment
- Contribute to CI/CD processes and engineering best practices
- Deploy and manage data solutions across the development lifecycle
- Work across multiple squads on varied engineering problems
- Collaborate with data, platform, and ML engineers on new capabilities
- Opportunity to gain exposure to data modelling and machine learning projects
YOUR SKILLS AND EXPERIENCE:
- Experience with Python and PySpark (commercial, academic, or project-based)
- Exposure to Databricks or similar data platforms
- Strong desire to learn and develop within a collaborative team
- Understanding of data engineering fundamentals
- Exposure to cloud platforms (e.g. AWS/Azure) is beneficial
- Knowledge of DevOps practices or CI/CD is advantageous
- Any experience with data modelling is a plus
SALARY AND BENEFITS
- £45,000 base salary (12 Month FTC)
- Pension scheme
- Flexible, remote-first working
- Strong work-life balance culture
- Excellent progression opportunities
HOW TO APPLY
Please register your interest by sending your CV to Harry Lack through the ‘Apply’ link
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 – Director of People Operations
We’ve been collaborating with Harnham to recruit some key positions for our company, and they have been incredible partners. They team has been great and efficient. They understood our needs perfectly and provided us very talented candidates. We'll keep collaborating with them in the future. Thank you for your excellent job!
Client /
Director of People Operations
Client – 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 – 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 – Senior Data Engineer
I've been a Senior Data Engineer for about 4-5 years and Harnham is one of the best recruitment agencies I worked with. There was a time when my offer fell through and the recruiter I was working with at Harnham jumped in to the rescue and scheduled interviews for me within a couple of days. Really good agency and some great people.
Candidate /
Senior Data Engineer
Candidate – 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
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 – 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 – 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.
