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
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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.
Head of Engineering – Platform
Mountain View
$280000 - $300000
+ Data Engineering
PermanentMountain View, California
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Head of Engineering – Platform
Mountain View, CA – Hybrid (3 days/week onsite)
$280,000 – $300,000 Base + Bonus + RSUs
THE COMPANY
Harnham is partnering with a Fortune 500 leader in cybersecurity that is looking for a new Engineering leader. The company combines the scale of an established enterprise with a scrappy, high-ownership culture, and is currently investing heavily in modernizing its core engineering infrastructure. This role sits within the Licensing & Shared Services Engineering organization, focused on transforming business-critical licensing and accounts platforms that power multiple products globally.
RESPONSIBILITIES
- Own the architecture and modernization strategy for licensing and accounts platforms.
- Lead transformation of complex backend systems, including multiple Java-based services.
- Design scalable, reusable licensing frameworks supporting multiple products and interfaces.
- Simplify integrations across products, reducing system complexity and improving maintainability.
- Define and execute the long-term technical roadmap for licensing and accounts systems.
- Provide deep technical leadership across system architecture, design reviews, and engineering best practices.
- Collaborate closely with Product Management, Architecture, and Engineering teams to align strategy and execution.
- Guide integration approaches across multiple product lines and ensure system scalability and resilience.
- Mentor senior engineers and engineering leaders while scaling and strengthening the team.
- Act as a change agent, challenging legacy systems and driving modernization initiatives.
SKILLS AND EXPERIENCE
- 15+ years of experience in software engineering, with significant leadership experience.
- 5+ years at Director-level or above.
- Deep expertise in backend systems, particularly Java-based architectures.
- Strong experience in system design, platform architecture, and large-scale system transformation.
- Proven experience owning and executing technical roadmaps for complex platforms.
- Experience managing and influencing teams of 20+ engineers in highly cross-functional environments.
- Strong experience designing integrations across multiple systems and product ecosystems.
- Ability to simplify complex technical domains and drive architectural clarity.
- Excellent communication and stakeholder management skills across engineering and business teams.
PREFFERED EXPERIENCE
- Experience with licensing, entitlement, or accounts platforms.
- Experience designing reusable frameworks for product scalability.
- Experience with cloud modernization initiatives.
- Exposure to regulated or legally constrained systems.
- Background in high-scale consumer or enterprise platforms.
BENEFITS
The compensation package includes a competitive base salary, 30% annual bonus, RSUs with significant flexibility, and a comprehensive benefits package.
HOW TO APPLY
Please submit your CV via the Apply link on this page to register your interest.
KEY TERMS
Software Engineering Leadership | Platform Architecture | Java | Backend Systems | Licensing Systems | Entitlement Systems | Shared Services | System Modernization | Cloud | Enterprise Systems | Integration | Scalable Platforms | Cybersecurity | Technical Leadership | Product Engineering | Scale | Fortune 500 | Migration

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Sr Data Engineer
Dallas
$140000 - $160000
+ Data Engineering
PermanentDallas, Texas
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Senior Data Engineer (Dallas, TX)
We are seeking a Senior Data Engineer to join a growing organization in the Dallas area and play a key role in a newly launched cloud data platform initiative. This position will partner closely with stakeholders across the business to build and maintain reporting and analytics capabilities while supporting a modern data stack.
Responsibilities:
- Develop and maintain data pipelines and transformations using Snowflake, dbt, SQL, and Python
- Support and optimize data integrations across multiple business systems
- Take ownership of the data environment following an initial implementation phase
- Partner with business stakeholders to translate technical concepts into clear, actionable insights
- Contribute to reporting, analytics, and data modeling initiatives
- Ensure data quality, performance, and scalability across the platform
Requirements:
- 7+ years of data engineering or analytics engineering experience
- Strong hands-on experience with Snowflake, dbt, SQL, and Python
- Experience building and managing modern cloud data pipelines
- Excellent communication and stakeholder management skills
- Ability to explain technical solutions to non-technical audiences
- Local to the Dallas-Fort Worth area and able to work onsite 3 days per week
Preferred Qualifications:
- Experience with modern ELT tools and reporting platforms
- Exposure to AI-enabled analytics capabilities
- Background supporting operational or field-service organizations
Location: Dallas, TX (Hybrid, 3 days onsite)
Compensation: $140,000 – $160,000 base salary + benefits
This is an excellent opportunity to take ownership of a growing data platform, work closely with business leaders, and have a direct impact on the organization’s analytics strategy.

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Data Engineer
London
£400 - £420
+ Data Engineering
ContractLondon
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*** Data Engineer ***
I’m partnered with a leading organisation that’s looking for an experienced Data Engineer to join their Data Platform team on an initial 6-month contract, working across a major GCP data platform programme.
Rate: £400-420 per day, Inside IR35
Location: London – Hybrid, 3 days per week onsite
Duration: 6 months
The role will focus on GCP, BigQuery, Python, Airflow/Cloud Composer, dbt, Terraform and CI/CD, working closely with architects, engineers, product and governance teams to deliver secure, scalable data solutions.
Key experience:
- GCP & BigQuery
- Python, Airflow & dbt
- Terraform & CI/CD
- Data platforms / lakehouse environments
- Kubernetes
- AWS alongside GCP
- Strong stakeholder management
If this sounds relevant to you, please drop me a message or send your CV
Thanks,
Callum

To Apply for this Job Click Here
GCP Data Engineer (Contract)
London
£400 - £410
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
Senior Data Engineer – RBAC & Security
£400-420 per day
Inside IR35
6-month contract
London – Hybrid, 3 days per week onsite
A leading organisation is looking for a Senior Data Engineer to join its Data Platform team, working across a major programme focused on role-based access control (RBAC), data security and governance within GCP.
You’ll work closely with architects, engineers, product and governance teams to design and implement secure, scalable data solutions, while helping shape technical standards across the wider data platform.
THE ROLE
As a Senior Data Engineer, you will be responsible for:
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Designing and implementing RBAC and data security solutions across GCP
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Developing and improving access controls across BigQuery and cloud data environments
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Supporting IAM/IDAM enhancements, service-account access and access reporting
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Designing and implementing data classification and governance-by-design
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Maintaining and improving a GCP/BigQuery lakehouse environment
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Building and supporting pipelines using Python, Airflow/Cloud Composer and dbt
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Identifying security vulnerabilities and supporting remediation
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Implementing robust CI/CD, testing and Terraform-based infrastructure
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Working across integrations including Fivetran, Tableau and Alation
The key deliverables include access enhancement, data-classification architecture, BigQuery/Tableau integration and vulnerability remediation.
YOUR SKILLS AND EXPERIENCE
The successful Senior Data Engineer will have:
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Strong commercial experience with GCP and BigQuery
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Deep knowledge of RBAC / IAM within cloud data environments
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Strong understanding of data security, governance and access controls
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Hands-on experience with Python, Airflow and dbt
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Experience with Terraform and CI/CD
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Knowledge of Kubernetes
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Exposure to AWS alongside GCP
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Strong stakeholder management and the ability to work with architects, analytics engineers and software engineers
The underlying platform also uses BigQuery, Kubernetes, Python, Airflow, dbt, CI/CD and Terraform.
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.

To Apply for this Job Click Here
Senior Data Engineer
Miami, FL
$150000 - $170000
+ Data Engineering
PermanentMiami, Florida
To Apply for this Job Click Here
DATA ENGINEER (MID-SENIOR)
MIAMI, FL | HYBRID
$150,000 – $170,000 BASE + BONUS
The Opportunity We’re partnering with a rapidly growing financial services organization that is modernizing and expanding its enterprise data platform. They’re looking for a Data Engineer who enjoys building scalable data solutions, improving data quality, and creating the infrastructure that powers analytics and business decision-making across the company. This is a hands-on role with strong ownership, visibility, and the opportunity to help shape the future of a growing data organization.
The Team’s Focus
- Building and scaling modern data platforms
- Creating reliable data pipelines and integrations
- Improving data quality, monitoring, and governance
- Supporting analytics, reporting, and business intelligence initiatives
- Leveraging cloud technologies to drive scalability and efficiency
- Establishing strong engineering standards and best practices
What You’ll Do
- Develop and maintain data pipelines that collect and process information from multiple sources
- Design data models that enable reporting, analytics, and operational insights
- Enhance a cloud-based data platform to improve performance, reliability, and scalability
- Build solutions using Python, SQL, and dbt
- Support and optimize Azure-based data infrastructure
- Lead data engineering initiatives from design through deployment
- Implement processes for data quality, monitoring, and operational excellence
- Identify and drive improvements across existing data systems
- Partner with analytics teams, engineers, and business stakeholders to deliver impactful solutions
- Help define platform architecture and long-term data strategy
What We’re Looking For
- 3-8 years of Data Engineering experience
- Strong experience with Python and SQL
- Experience building and supporting ETL/data pipeline solutions
- Hands-on experience with dbt and modern data transformation practices
- Experience working with Azure or other cloud-based data environments
- Understanding of data modeling, data warehousing, and platform architecture
- Experience supporting production data environments and troubleshooting issues
- Ability to work independently and take full ownership of projects
- Strong communication and stakeholder management skills
- Degree in Computer Science, Mathematics, Statistics, or a related technical field preferred
Why Consider This Opportunity?
- Own high-impact projects from end to end
- Help build and evolve a modern enterprise data platform
- Work across data engineering, cloud infrastructure, and analytics
- Gain exposure to both business and technical stakeholders
- Join a growing organization investing heavily in its data capabilities
- Clear opportunities for career growth and increased responsibility
- Competitive compensation, bonus, and benefits package
This opportunity is ideal for a Data Engineer who enjoys solving complex data challenges, building scalable platforms, and making a measurable impact on how an organization uses data. The ideal candidate brings strong Python, SQL, and dbt expertise and thrives in a collaborative, high-growth environment.

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Senior Data Engineer
Miami
$150000 - $170000
+ Data Engineering
PermanentMiami, Florida
To Apply for this Job Click Here
Senior Data Engineer
Location: Austin, TX or Miami, FL (Hybrid 4 Days/Week Onsite)
Compensation: Up to $170,000 Base Salary
About the Role
We’re partnering with a rapidly growing financial services organization seeking a Senior Data Engineer to help build and scale a modern enterprise data platform.
This is a highly visible, hands-on role focused on developing data pipelines, data models, and cloud-based data infrastructure that power analytics and business decision-making across the organization.
Please note: Candidates must be located in or willing to relocate to Austin, TX or Miami, FL and work onsite 4 days per week. This requirement is non-negotiable.
Responsibilities
- Design and build scalable data pipelines and ingestion frameworks
- Develop and optimize data models for analytics and reporting
- Build and enhance cloud-based data platform capabilities within Azure
- Develop solutions using Python, SQL, and dbt
- Improve data quality, monitoring, reliability, and operational processes
- Partner with analytics, engineering, and business teams to deliver data solutions
- Own projects from design through deployment and support
Requirements
- 5+ years of Data Engineering experience
- Strong hands-on expertise with Python, SQL, and dbt
- Experience building and maintaining production data pipelines
- Azure cloud experience
- Strong understanding of data modeling and data architecture
- Ability to work independently and take ownership of complex initiatives
- Excellent communication and stakeholder management skills
Why Join?
- High-impact, high-visibility role
- Opportunity to shape a growing modern data platform
- Strong ownership and architectural influence
- Career growth within a rapidly expanding organization
Location Requirement: This position requires employees to be onsite 4 days per week in Austin, TX or Miami, FL. Candidates who are not local or unable to meet the onsite expectation will not be considered.

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Director, GTM Data
San Francisco
$200000 - $230000
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
Director, GTM
Remote (U.S.) | EST/CST Preferred
Up to $230,000 Base + $20,000 Bonus + Equity
U.S. Citizen or Green Card Holder Required
Shape the Future of Revenue Growth Through Data
We’re partnering with a high-growth technology organization seeking a Director of Revenue Analytics & Data Science to lead the strategy, execution, and evolution of its Go-To-Market data function.
This is an opportunity for a leader who enjoys sitting at the intersection of business strategy, advanced analytics, and people leadership. You’ll work directly with executives across Sales, Marketing, Customer Success, Finance, and Revenue Operations to help drive customer acquisition, retention, and overall revenue performance through data-driven decision making.
If you enjoy building high-performing teams, influencing company strategy, and leveraging analytics to solve complex business challenges, we’d love to connect.
What You’ll Own
Revenue & GTM Strategy
- Lead the vision and roadmap for analytics supporting the entire revenue organization.
- Partner with executive stakeholders to identify growth opportunities and improve business performance.
- Define and govern key business metrics including customer acquisition, retention, conversion, funnel performance, pipeline health, and customer lifetime value.
- Deliver actionable insights that directly influence strategic decisions and revenue outcomes.
Data Science & Advanced Analytics
- Guide the development and implementation of predictive models across lead scoring, customer lifetime value, marketing effectiveness, and sales prioritization.
- Champion experimentation and measurement frameworks to improve conversion rates, customer acquisition, and retention.
- Drive adoption of AI-powered tools and analytics capabilities across the organization.
- Establish analytical best practices and ensure high standards for statistical rigor and business impact.
Leadership & Team Development
- Lead and mentor a team of Data Scientists and Analytics professionals.
- Develop a culture centered around curiosity, accountability, and business partnership.
- Provide coaching on analytics strategy, data science methodologies, SQL, Python, and stakeholder engagement.
- Serve as a trusted advisor to senior leadership and cross-functional teams.
What We’re Looking For
Required Experience
- 7+ years of experience in Data Science, Revenue Analytics, Marketing Analytics, Business Analytics, or related disciplines.
- 3+ years of experience leading analytics or data science teams.
- Strong experience supporting Go-To-Market functions including Sales, Marketing, Customer Success, and Revenue Operations.
- Demonstrated success influencing business decisions through data and analytics.
Technical Skills
- Strong SQL expertise and experience working with Python-based analytics environments.
- Background in machine learning, predictive modeling, experimentation, and statistical analysis.
- Experience working with modern cloud data platforms such as Snowflake, Databricks, dbt, Airflow, or similar technologies.
- Understanding of SaaS business models, subscription metrics, and revenue operations.
Leadership Traits
- Strategic thinker with strong business acumen.
- Comfortable operating in fast-paced and evolving environments.
- Exceptional communication and stakeholder management skills.
- Ability to balance executive-level strategy with hands-on analytical leadership.
Why This Opportunity Stands Out
- Fully remote position within the U.S.
- Direct exposure to executive leadership and strategic decision making.
- Opportunity to own and shape enterprise-wide revenue analytics initiatives.
- Significant influence on company growth and GTM strategy.
- Competitive compensation package including equity participation.
- High-growth environment with strong leadership support and visibility.
Compensation: Up to $230,000 base salary + $20,000 annual bonus + equity
Location: 100% Remote within the United States
Schedule: Must work East Coast business hours
Work Authorization: U.S. Citizen or Green Card Holder required

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Senior Reliability Engineer
Rotterdam
€50000 - €950000
+ Data Engineering
PermanentRotterdam, South Holland
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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 – 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.

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Enterprise Software Engineer
London
£80000 - £100000
+ Data Engineering
PermanentLondon
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Enterprise Software Engineer
Up to £100,000
London (4 days a week in office)
If you’re an Enterprise Software Engineer looking to work on high-impact systems within a fast-paced investment environment, this is an excellent opportunity to build technology that directly supports business-critical decision-making. You’ll collaborate with a wide range of stakeholders and gain exposure to complex financial markets while working on scalable, modern software solutions.
THE COMPANY
They are a globally recognised investment management organisation with a strong focus on technology, innovation, and continuous improvement. Their engineering teams work closely with business users to solve complex challenges and deliver solutions that create tangible value across the organisation. They foster a collaborative environment where ideas are encouraged, innovation is supported, and professional development is prioritised. Employees benefit from working alongside experienced professionals across technology, operations, and investment functions.
THE ROLE
As an Enterprise Software Engineer, you will build impactful enterprise software used across a leading investment environment, working with modern technologies, complex challenges, and clear opportunities for career growth.
Specifically, you can expect to be involved in the following:
- Design, build, and maintain enterprise software applications that support key business functions.
- Develop scalable, reliable, and high-performance solutions using modern engineering practices.
- Partner with stakeholders to understand business requirements and translate them into technical solutions.
- Own projects throughout the full software development lifecycle, from design through deployment and support.
- Work with engineers across multiple teams to solve complex technical challenges.
- Contribute to the ongoing enhancement of software architecture, performance, and reliability.
- Help drive innovation by identifying opportunities to improve systems and development processes
SKILLS AND EXPERIENCE
The successful Enterprise Software Engineer will have the following skills and experience:
- Strong commercial experience developing production-grade software using Python.
- Experience with an object-oriented programming language such as Java or C#.
- Experience designing and delivering scalable enterprise applications.
- Good understanding of SQL databases and data management principles.
- Knowledge of financial markets or experience working with financial products.
- Strong analytical and problem-solving skills.
- Ability to collaborate effectively with both technical and non-technical stakeholders.
- Experience working in a regulated or financial services environment is advantageous.
- Exposure to AI-assisted development tools or practices would be beneficial.
- Degree in Computer Science or a related technical discipline, or equivalent practical experience.
BENEFITS
The successful Enterprise Software Engineer will receive the following benefits:
- Salary up to £100,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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