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 – eCommerce
Mountain View
$300000 - $325000
+ Data Engineering
PermanentMountain View, California
To Apply for this Job Click Here
Head of Engineering – eCommerce
Location: Mountain View, CA (3 days/week on site minimum)
Compensation: $300,000-$325,000 base + bonus + RSUs
About the Company
Harnham is partnering with a Fortune 500 leader in cybersecurity and digital trust, combining the scale of a global enterprise with the agility of a startup culture. The company protects hundreds of millions of users worldwide, boasts best-in-class retention, and maintains an unwavering commitment to innovation.
Its platform processes over half a million telemetry events per second, and following a major fintech acquisition in 2025, the organization has significantly expanded its footprint in New York City.
The Role
They are looking for a Head of eCommerce Engineering to oversee a growing global engineering team of 20+ professionals. This is a highly visible, reporting directly to the executive team and partnering with the C-suite.
Key responsibilities include:
- Lead architecture and technical direction for global eCommerce platforms, modernizing legacy Java systems into AI-enabled solutions
- Oversee checkout, billing, subscriptions, payments, and third-party payment integrations at global scale
- Drive cloud and database modernization strategies, including Azure/AWS and OracleDB migration planning
- Provide hands-on architectural guidance, influence AI adoption, and elevate engineering capabilities across teams
- Partner with senior engineers, architects, and cross-functional leaders to improve scalability, reliability, and engineering practices while challenging legacy approaches
Ideal Candidate Profile
- 12+ years of experience preferred, with expertise in large-scale eCommerce, payments, platform modernization, and AI-assisted system design
- Background in high-scale consumer platforms and leading legacy-to-modern transformation initiatives
- BS in Computer Science or related field required; MS preferred
- Strong Java backend, system architecture, and cloud experience (Azure required, AWS a plus)
- Experience with commerce platforms, React, code/architecture reviews, and leading global engineering teams
- Proven ability to influence technical direction and challenge legacy approaches with credibility
- Preferred experience in payments, subscription billing, AI-driven modernization, OracleDB migrations, and cybersecurity/fintech domains
BENEFITS
The compensation package contains a base salary, bonus, RSUs and a comprehensive benefits package.
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.
KEY TERMS
Software Engineering | Leadership | eCommerce | Engineering | Fintech | Customer | Customer-Facing | Direct-to-Consumer | B2C | Product | Production | Real Time | Director | Regulation | Payments | Compliance | Regulatory | Startup Environment | Executive | Scale | Scaling | Artificial Intelligence | Java | Billing | Real-Time

To Apply for this Job Click Here
Senior Analytics Engineer
Costa Mesa
$170000 - $190000
+ Data Engineering
PermanentCosta Mesa, California
To Apply for this Job Click Here
Senior Analytics Engineer
Location: Costa Mesa, CA
Work Model: Hybrid (4 days onsite)
Compensation: $170,000 – $190,000 base + equity + benefits
About the Role
This role is for builders who think in systems – not dashboards.
You’ll define and own the core data layer that represents how the business actually operates. That means modeling real-world domains into structured, reusable systems that power decision-making, workflows, and internal applications across the company.
This is closer to data product engineering than traditional analytics. You’ll work across domains, partner directly with leadership, and turn messy operational reality into clean, scalable data models that others build on top of.
If you’ve ever wanted to move beyond reporting and build foundational systems that drive a company forward, this is that role.
Key Responsibilities
- Own and build domain-level data models that act as the source of truth across the business
- Design and maintain reusable, extensible data layers that scale across teams and use cases
- Build end-to-end data systems – ingestion, transformation, and serving layers
- Develop data products and internal applications, not just dashboards
- Partner with leadership and cross-functional teams to define how the business is measured and operated
- Drive data platform architecture and roadmap decisions
- Establish engineering best practices across testing, version control, and CI/CD for data
- Improve data reliability, governance, and accessibility at scale
- Identify and solve high-impact problems through better data modeling and system design
Must Haves
- 5+ years in Analytics Engineering, Data Engineering, or similar with strong engineering fundamentals
- Deep expertise in SQL and solid experience with Python (or similar)
- Proven track record building scalable, reusable data models used across an organization
- Hands-on ownership of data pipelines and transformation layers (dbt or equivalent)
- Experience with modern cloud data platforms (Snowflake, Redshift, BigQuery, etc.)
- Strong understanding of data modeling, schema design, and data quality systems
- Demonstrated end-to-end ownership of data systems in production environments
- Comfortable operating in fast-moving, ambiguous environments
- Strong communication skills with the ability to influence non-technical stakeholders
- Eligible to obtain and maintain a U.S. security clearance
Why Join
- Build core systems that define how the business runs, not just how it reports
- High ownership and autonomy – you will shape the data layer end-to-end
- Work on complex, high-stakes problems where data directly impacts real-world outcomes
- Join a team that values technical depth, speed, and systems thinking
- Opportunity to influence data platform architecture at scale
- Collaborate with highly capable engineers, operators, and product leaders
- Environment built for people who want to own, build, and move fast

To Apply for this Job Click Here
Full Stack Engineer
London
£80000 - £100000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Senior Full stack Engineer
£80,000 – £100,000
Hybrid – London (3x days per week)
This is a high-impact engineering role within a small, specialist team responsible for accelerating product development across a growing data organisation. You will work at the cutting edge of AI-enabled engineering, building prototypes, tools, and platform components that turn complex data into usable products at speed. If you enjoy autonomy, rapid delivery, and solving ambiguous problems, this role offers immediate visibility and meaningful technical ownership.
The Company
They are a data focused organisation bringing together multiple specialist businesses, each with its own technology stack and domain expertise. Their central technical team is responsible for unifying systems, modernising legacy platforms, and building AI-enabled capabilities that can be leveraged across the group. The environment is highly collaborative, delivery-focused, and driven by experimentation and measurable outcomes.
The Role
You will sit within a small, high-performing technical core, working closely with senior engineering leadership to deliver rapid, tangible results.
- Build internal AI agents and tools that improve productivity and unlock value from group data
- Develop prototypes that validate ideas quickly and can be demonstrated on a weekly basis
- Modernise legacy systems using AI-assisted analysis and development approaches
- Wrap existing systems with clean, scalable APIs to enable wider consumption
- Generate documentation, tests, and migration tooling to support platform evolution
- Contribute to shared data and entity platform development across the organisation
- Continuously improve code quality, leaving systems clearer and more maintainable
Your Skills and Experience
- Strong commercial experience delivering software in fast-paced environments
- Hands-on development capability across Python, TypeScript, and SQL
- Comfortable working with modern AI tooling and agent-based development workflows
- Experience working with data systems, including schema design, data quality, or lineage
- Ability to understand and work across unfamiliar codebases effectively
- Clear communication skills, including writing high-quality pull requests and presenting work
- A proactive, self-directed approach with a focus on delivering outcomes quickly
What They Offer
- Competitive base salary
- Flexible working options across London and remote environments
- High levels of autonomy and ownership from day one
- Exposure to complex data systems and AI-driven engineering challenges
- Opportunity to work in a small, high-impact team with visible output
- Clear progression as the team and platform scale
How to Apply
Apply with your CV to find out more about this AI-Native Software Engineer opportunity. Please note we cannot offer sponsorship for this position

To Apply for this Job Click Here
Staff Engineer
London
£150000 - £170000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Staff Engineer
Up to £170,000
Hybrid – London (3x days per week)
This is a rare opportunity to shape the technical backbone of a multi-entity data group undergoing significant transformation. You will operate at the intersection of engineering and strategy, building a unified AI-native data layer while working closely with executive leadership. The role offers high autonomy, direct influence on architectural direction, and the chance to hire and lead a small, high-impact team.
The Company
They are a data-focused organisation with several specialist businesses, each operating its own technology stack and culture. The strategic goal is to unify these into a single, scalable data and AI platform. Backed by investment and growth through acquisition, they are building a modern data intelligence layer that enables better product delivery and commercial performance. The environment is pragmatic, delivery-focused, and driven by technical excellence.
The Role
You will take ownership of building the group’s shared data platform and AI-native architecture. You will contribute both strategically and hands-on, with a strong focus on delivery and impact.
- Design and build a unified data layer, including entity graph, provenance, quality, and APIs
- Deliver production-ready systems and modern APIs that connect data across multiple business units
- Lead the technical integration of acquisitions, including data, access, and observability
- Hire and grow a small team of AI-native engineers, driving a high-performance delivery culture
- Define and document architectural standards and AI engineering practices
- Work closely with senior leadership, contributing to technical strategy and decision-making
- Produce clear documentation and run regular demonstrations of progress
Your Skills and Experience
- Strong commercial experience building data platforms, APIs, or data-led products at scale
- Comfortable writing production code and working across Python, TypeScript, and SQL
- Experience using modern AI tooling or agent-based development approaches
- Ability to quickly understand and assess unfamiliar codebases and systems
- Experience designing scalable architectures across multiple services or business units
- Strong communication skills with the ability to explain technical concepts clearly
- Commercial awareness, including understanding of product value, margins, and customers
- A pragmatic mindset with a focus on delivery, quality, and continuous improvement
What They Offer
- Competitive base salary
- High-impact role with direct visibility to senior leadership
- Opportunity to shape a group-wide data and AI strategy
- Autonomy to build and lead a team from an early stage
- Exposure to acquisition integration and complex data environments
- Collaborative and delivery-focused engineering culture
How to Apply
Apply with your CV to discuss this opportunity in more detail.

To Apply for this Job Click Here
Platform Systems Architect
Dallas
$200000 - $225000
+ Data Engineering
PermanentDallas, Texas
To Apply for this Job Click Here
Platform Systems Architect
Dallas, TX (Onsite, 5 days per week)
Base Salary: $200,000 – 225,000
Overview
A technology manufacturer is expanding its infrastructure footprint significantly, investing largely into domestic capacity and digital platform growth. This role is central to building and evolving the internal enterprise platform that supports that expansion.
This position focuses on developing an internal, cloud platform that enables application and engineering teams to build, deploy, and run services across a hybrid environment that spans on premises data centers and public cloud.
The Role
Seeking a senior Platform Systems Architect to define and design the foundational infrastructure platform that internal teams depend on. This is a senior individual contributor role responsible for end to end platform architecture across compute, storage, networking, and core platform services.
You will work across both on premises and public cloud environments to deliver a unified, scalable, and reliable platform. This is a hands-on architecture role, suited for someone who has designed and built large distributed systems, not just documented or managed them.
What You Will Do
- Design end to end platform architectures across compute, storage, networking, and platform services
- Define and maintain enterprise standards, reference architectures, and design patterns
- Architect hybrid environments spanning data centers and public cloud platforms
- Design and support Kubernetes based platforms (OpenShift, Rancher, or similar)
- Drive Infrastructure as Code using Terraform and/or Ansible
- Establish CI/CD, automation, and DevOps platform standards
- Design observability and reliability solutions using tools like Grafana, Prometheus, and ELK
- Partner with engineering teams to modernize legacy systems into distributed architectures
- Provide technical leadership as a senior individual contributor
Required Qualifications
- 7+ years in systems architecture, platform engineering, or infrastructure engineering
- Experience designing and operating large scale distributed systems
- Strong expertise across compute, storage, and networking
- Hands-on Kubernetes experience (OpenShift, Rancher, or equivalent)
- Experience with Terraform and/or Ansible
- Proven hybrid cloud experience (on prem + public cloud)
- Familiarity with CI/CD and DevOps practices
- Experience with observability tools (Grafana, Prometheus, ELK stack)
- Working knowledge of Python or Go
Preferred Qualifications
- Experience building a private cloud or internal platform from the ground up
- Advanced networking experience (EVPN, VXLAN, SDN)
- Experience with data or streaming platforms (Kafka, Spark)
- Knowledge of API gateways, IAM, and platform integration patterns
- Exposure to GPU, AI, or high performance computing workloads
- Hands-on experience with major public cloud platforms

To Apply for this Job Click Here
Principal Software Engineer
San Francisco
$280000 - $350000
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
PRINCIPAL SOFTWARE ENGINEER
BAY AREA, CA (3 DAYS IN OFFICE)
$280,000 – $350,000+ (BASE + EQUITY)
An exciting opportunity for a hands-on Senior Software Engineer to join a lean, profitable platform connecting creators through video.
THE COMPANY
A profitable, early-stage tech company with a small Bay Area-based team. The product already reaches a significant audience and focuses on high-impact, user-generated video content.
THE ROLE
Hands-on engineering and AI work across the platform:
- Build agentic GenAI workflows using internal datasets
- Develop marketing and growth systems: email delivery, personalization, engagement tracking
- Create commercial AI models to understand user behavior and engagement
- Collaborate across product and engineering teams
- End-to-end coding, system design, and customer validation
YOUR SKILLS & EXPERIENCE
- Backend: Python, Django or Flask or FastAPI
- Frontend: React
- Cloud/Infrastructure: AWS
- Databases: PostgreSQL
- AI/ML: OpenAI; knowledge of agent systems helpful
- Experience with large-scale data and knowledge systems is a plus
- Comfortable working in a lean, high-ownership environment
HOW TO APPLY
Please register your interest by sending your resume to Calum Reid via the apply link on this page.

To Apply for this Job Click Here
Forward Deployed Engineer
San Francisco
$200000 - $250000
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
Forward Deployed Engineer
San Francisco, CA (Hybrid)
A high-growth AI company is hiring Forward Deployed Engineers to work directly with enterprise customers on rapidly building and deploying AI-driven solutions.
This is a highly product-oriented engineering role focused on solving real customer problems quickly. The team is looking for engineers who thrive in fast-paced environments, enjoy working closely with customers, and can rapidly prototype and ship solutions using modern AI tooling.
What You’ll Be Doing
- Partner with customers to understand workflows and business challenges.
- Rapidly build MVPs and proof-of-concepts.
- Work cross-functionally with engineering and product teams.
- Help shape and productionize successful customer solutions.
What They’re Looking For
- Strong product sense and customer empathy.
- Ability to operate independently and move quickly.
- Engineers who are resourceful, curious, and highly execution-oriented.
- Experience in startup or high-growth environments.

To Apply for this Job Click Here
Senior Full Stack Engineer (Backend Focus)
Phoenix
$125000 - $140000
+ Data Engineering
PermanentPhoenix, Arizona
To Apply for this Job Click Here
SENIOR FULL STACK SOFTWARE ENGINEER – BACKEND FOCUS
TEMPE, AZ (HYBRID)
$125,000 – $140,000 BASE + BONUS + BENEFITS
The Opportunity
We’re partnering with a large, well-established national organization to hire a Senior Software Engineer with strong AWS Serverless, Python, and React experience to help scale and modernize their cloud platform.
This role sits at the center of a fast-moving engineering team responsible for powering customer-facing applications (leasing, payments, maintenance) and internal systems. You’ll design and build scalable, serverless backend services in AWS while contributing to modern React-based front-end applications.
This is a hands-on senior IC role with strong ownership across cloud architecture and application development.
The Engineering Environment
The team operates in a high-velocity Agile environment focused on:
- AWS-first, serverless architecture (Lambda, S3, API Gateway)
- Cloud-native microservices
- Continuous integration and delivery
- Modern DevOps practices
- Ongoing platform modernization and legacy refactoring
What You’ll Be Working On
- Design and build serverless backend services using AWS Lambda, S3, and related AWS services
- Develop RESTful APIs and event-driven workflows in Python
- Build and enhance modern front-end applications using React / ReactJS
- Architect scalable, secure cloud-native solutions
- Optimize performance, reliability, and cost efficiency in AWS environments
- Participate in CI/CD pipelines and automated deployments
- Collaborate with product, QA, and cross-functional teams to ship high-quality releases
What We’re Looking For
- 6-8+ years of software engineering experience
- Strong hands-on experience with AWS Serverless (Lambda, S3, API Gateway)
- Proficiency in Python for backend development
- Experience building modern front-end applications with React / ReactJS
- Solid understanding of cloud-native architecture and distributed systems
- Experience working in Agile environments with CI/CD pipelines
Why This Role
- Opportunity to build and scale AWS serverless systems at national scale
- High ownership and architectural input as a senior engineer
- Strong cloud-native, modern engineering environment
- Stable, growth-oriented organization investing heavily in technology
- Competitive base + bonus structure
- Full benefits (medical, dental, vision, 401k match, PTO, holidays)
This is a high-impact engineering role focused on building scalable AWS serverless systems and modern React applications that power real-world customer and operational experiences at scale.

To Apply for this Job Click Here
Sr. Fullstack Engineer
New York
$200000 - $230000
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
Sr. Fullstack Engineer
Location: New York, NY
Pay: $200k – $230k Base + Bonus
Overview:
An innovative, well-capitalised organisation in the real estate and supply chain infrastructure space is building a cutting-edge internal platform focused on predictive analytics and AI-driven decision-making. This product is transforming how large-scale investments and asset strategies are executed, with strong executive sponsorship and enterprise-wide visibility.
This is an opportunity to join a newly formed, product-oriented team operating like a start-up within a larger organisation, contributing to a live product already in active use and entering its next phase of growth.
Responsibilities:
- Build and scale production-ready full stack applications supporting a predictive analytics platform
- Partner closely with Product Managers and Designers to deliver high-quality user-focused features
- Develop and integrate AI/ML-driven workflows into core applications
- Contribute to architecture decisions and help evolve technical standards across the platform
- Collaborate with data and analytics teams to embed advanced modelling into user-facing tools
- Participate in discussions with senior stakeholders to align technical delivery with business objectives
- Ensure high standards of code quality, testing, and performance optimisation
Must Have Qualifications:
- Strong full stack engineering experience (frontend + backend development)
- Proficiency in Python (required), plus Node.js and modern frontend frameworks (React preferred; Vue or similar acceptable)
- Experience building production-grade applications with exposure to AI/ML-driven functionality
- Familiarity with cloud platforms (Azure, AWS, or equivalent)
- Product-focused mindset with ability to translate business requirements into technical solutions
- Strong communication skills with experience working cross-functionally with business stakeholders

To Apply for this Job Click Here
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