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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

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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.

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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.

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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.

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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

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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

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AI Automation Engineer

Location: Remote (Must be US Based)
Pay: $175,000 – $200,000 Base + Equity

Overview
A fast-growing healthcare technology startup is building a platform that enables independent care providers to launch and scale their practices through software, operations infrastructure, and automation. The company has achieved strong product-market fit and is entering its next phase of growth, focused on eliminating manual operational work through automation, integrations, and AI-driven workflows.
This role is designed for a highly technical, product-minded engineer who can independently identify inefficiencies and build end-to-end automation solutions that create measurable business impact.

Responsibilities

• Analyse and observe operational workflows to identify inefficiencies and bottlenecks
• Partner with internal teams to understand business processes end-to-end
• Design improved workflows before introducing automation
• Build backend systems, integrations, and automation pipelines
• Develop AI-assisted workflows leveraging modern foundation models
• Implement scalable, production-grade solutions across operational systems
• Measure and optimise automation impact on efficiency and performance
• Continuously evaluate emerging AI tools and apply them to business use cases

Must Have Qualifications

• 6-10+ years (7+ preferred) in software engineering, backend, or platform development
• Proven experience building workflow automation and production systems
• Strong background in backend technologies (e.g. TypeScript, APIs, Postgres)
• Experience working directly with stakeholders to gather requirements
• Hands-on experience designing and delivering end-to-end solutions
• Familiarity with AI-assisted development or integrating AI tools into workflows

To Apply for this Job Click Here

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HEAD OF AI ENGINEERING
£200,000
LONDON

This is a rare opportunity to join a rapidly scaling, PE-backed data platform business and take ownership of building a next-generation AI-native data layer. Working directly with the Group CTO, you’ll play a pivotal role in shaping both the technical direction and the future of their global data products.

THE COMPANY

This organisation is a global leader in B2B data and business intelligence, operating across 200+ countries and supporting industries such as fintech, compliance, and fraud prevention. Backed by private equity, the business is growing quickly through acquisitions and is building a unified data platform across multiple entities.

This role sits at the heart of that transformation, offering the chance to influence platform architecture, drive AI adoption, and help scale a high-growth international business.

THE ROLE

• Architect and deliver a centralised, AI-native data platform across multiple global datasets
• Build and scale high-performance data pipelines, APIs, and data services
• Deploy AI and automation to improve data quality, enrichment, and verification
• Work closely with the CTO on technical strategy, roadmap, and execution
• Lead technical due diligence on acquisitions and own post-acquisition integration plans
• Engage with senior leadership and investors, presenting architecture and strategy
• Start as a hands-on individual contributor with scope to build and lead a team

YOUR SKILLS AND EXPERIENCE:

• 10+ years building production-grade systems at scale
• Background as a Staff/Principal Engineer, senior IC, or technical leader in a high-growth environment
• Strong hands-on coding skills in Python, SQL, and TypeScript
• Experience building large-scale data platforms, APIs, and distributed systems
• Proven ability to operate across architecture, delivery, and executive-level communication
• Desirable: experience with AI/LLM systems, data enrichment, B2B data products, or hybrid infrastructure environments

SALARY AND BENEFITS

• £150,000 – £200,000 base salary
• Discretionary bonus
• Pension scheme
• Hybrid working model
• Potential for future equity participation

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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Title: Data Architect
Location: US Remote
Pay: $200k – $230k Base (No Bonus)

Overview:
An innovative, high-growth organisation is seeking a Data Architect to drive advanced analytics and machine learning initiatives across multiple business domains. This role focuses on building scalable data solutions, deploying predictive models, and enabling data-driven decision-making in a collaborative, cloud-first environment.

Responsibilities:

• Design, develop, and deploy predictive and prescriptive models across domains such as customer behaviour, operations, and personalisation
• Apply machine learning, deep learning, and statistical methods to solve complex business challenges
• Lead experimentation initiatives including A/B and multivariate testing, as well as causal inference analysis
• Analyse large, complex datasets to generate insights and inform strategic recommendations
• Communicate technical findings clearly to both technical and non-technical stakeholders
• Collaborate with product managers and cross-functional teams to define data science initiatives
• Partner with engineering teams to build scalable, data-driven applications
• Mentor junior team members and contribute to best practices, tools, and reusable frameworks

Must Have Qualifications:

• 7-10+ years of experience in data science, applied machine learning, or statistics
• Strong proficiency in Python or R, including libraries such as scikit-learn, TensorFlow, or PyTorch
• Hands-on expertise with AWS and cloud-based AI/data platforms
• Experience building and deploying Data Mesh architectures
• Proven ability to productionise models using APIs, pipelines, or ML frameworks
• Experience with tools such as Databricks, SageMaker, and Snowflake

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