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Principal Enterprise Architect

Dallas, TX | 5 days onsite required

Overview

We are partnered with a large, complex organization in the technology sector undergoing a multi-year digital, platform, and cloud transformation. This role sits within a digital platforms organization supporting customer-facing and internal systems at enterprise scale.

The Principal Enterprise Architect will serve as a hands-on technical leader responsible for defining enterprise architecture strategy, setting standards, and delivering scalable, secure, and modular solutions that enable both operational and analytical use cases.

This is a highly visible role partnering with engineering, platform, security, analytics, and business leaders to drive meaningful transformation.

Responsibilities

• Define and evolve enterprise architecture strategy aligned with business goals and industry best practices
• Design modular, scalable, and secure architecture patterns across digital platforms
• Lead large-scale initiatives including cloud migration, IT modernization, and system/vendor integration
• Act as the technical authority across portfolios, ensuring consistency and architectural rigor
• Partner cross-functionally with engineering, analytics, security, and business stakeholders
• Guide and mentor architects while fostering strong collaboration and execution
• Ensure solutions meet security, performance, and compliance standards
• Proactively identify risks and solve complex technical challenges

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field
• 10+ years of experience in enterprise architecture, platform engineering, or large-scale transformation
• Experience architecting solutions across CMS, analytics platforms, and identity/access management
• Strong background with modern web and backend technologies (e.g., microservices, APIs, Kubernetes, NoSQL)
• Hands-on experience with authentication and authorization frameworks
• Excellent communication skills with both technical and non-technical audiences

Preferred Qualifications

• Public cloud and/or architecture framework certifications (e.g., TOGAF)
• Experience with CI/CD pipelines and modern deployment strategies
• Exposure to observability, performance optimization, accessibility, and SEO at scale
• Experience integrating AI-driven or intelligent systems into enterprise platforms
• Proven ability to influence, gain consensus, and drive execution across teams
• Track record of leading and scaling high-performing technical teams
• Comfortable operating in fast-paced, complex, enterprise environments

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PRINCIPAL PRODUCT MANAGER – DATA INNOVATION

UK (Remote) | £125k-£150k + 10% Bonus

COMPANY Global ResTech leader. €1.3B valuation. 800 employees. World’s largest programmatic insights marketplace for Fortune 500 brands.

THE ROLE Principal PM (Director-level scope). Senior IC. Build 0-1 AI/ML data products. Focus: Synthetic Data, Data Collaboration, and Media Measurement. Lead high-level strategy and technical execution with Data Science teams.

WHAT YOU’LL DO Strategy: Own Data Innovation vision, adoption, and revenue. 0-1 Building: Validate opportunities and build production-ready AI/ML products with R&D. Commercial: Own GTM, pricing, and positioning. Leadership: Influence C-suite and global partners.

KEY FOCUS Synthetic Data: AI-generated research solutions. Data Collaboration: Privacy-safe 1st-party data integration. Media Measurement: Real-time digital/TV ROI tools.

REQUIREMENTS 0-1 Product Launch experience (B2B SaaS/Platforms). Built and scaled AI/ML products to production. Strong C-suite stakeholder management. Commercial expertise (GTM and Pricing). Background in ResTech, AdTech, or Media Measurement preferred.

TECHNICAL Must be credible discussing AI architecture and model trade-offs with Engineering/Data Science.

OFFER £125k-£150k base. 10% Bonus. Fully remote. Director-level influence. Work with cutting-edge AI.

APPLY Mohammed Buhariwala +44 20 3854 4777

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DATA ANALYST (DIGITAL)

LONDON (HYBRID 3 DAYS IN OFFICE)

£50,000-£55,000

Harnham are working with a global product company to bring in a Digital Data Analyst to join their evolving team.

THE COMPANY

Join an evolving company that are looking to bring in a Digital Data Analyst to work in their data and analytics team. With over 4 million users across the globe, the business proceeds to grow alongside their market.

THE ROLE

Working as a Digital Data Analyst you will be diving deep into data to assist in the improvement of the data quality for the business. Whilst dashboarding, picking up ad-hoc reports and data requests you will be working on long term projects where you’ll eventually own your own.

• Data pulling, reporting, data requests within an insight’s environment
• Some dashboarding and taking over this.
• Collaborating with stakeholders and drive initiatives to understand customer churn and campaigns
• Long term strategic projects launching a product in the UK and global projects

YOUR SKILLS AND EXPERIENCE

As a Digital Data Analyst you will have had experience using SQL on a regular basis with the correct mindset to want to learn (or some exposure to) more tools such as Python, PowerBi and more and being a recent graduate (2-3 years)

• Strong and confident SQL coding is a must and window functions
• Commercial/Business knowledge is key, with the ability to think analytically.
• Exposure or desire to learn Python, PowerBi alongside other tools
• High performing individual who has worked on a graduate scheme

THE BENEFITS

• Hybrid- Work and life balance with flexibility also
• Competitive salary whilst being able to learn and develop your skills and career
• . Clear path for progression and having an impact in a global company

THE PROCESS

1^st stage- Meeting on Teams with the hiring manager going through your CV to understand prior experience and success diving into your mindset

2^nd stage- A presentation with hiring manger and a member of the team

HOW TO APPLY

Please register your interest via the apply link on this page, or send your CV

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Staff Software Engineer

Remote (UK‑based) | £10,000-£13,000 + benefits
This is a rare opportunity to join a high‑impact engineering team building the core graphics and collaboration engine behind a widely‑used digital workspace platform. If you’re excited by complex visual systems, large‑scale real‑time collaboration, and deep engineering ownership, this role sits at the very heart of the product.

The Company

They are a global SaaS organisation powering visual collaboration for distributed teams. Their product enables organisations to brainstorm, plan, design, and workshop ideas through a shared online canvas built for high performance and enterprise‑grade reliability. With millions of users worldwide, they continue to evolve their platform with new capabilities, including next‑generation graphics, real‑time systems, and AI‑enhanced workflows.

The Role

As a Staff Software Engineer, you will be a senior technical leader within the platform team responsible for the core canvas and rendering engine that underpins the entire product. This is a hands‑on role focused on advanced graphics engineering, distributed systems, and collaborative editing.
You will:

• Lead research, design, and proof‑of‑concept work for new graphics capabilities.
• Own architecture and technical direction across the canvas/editor platform.
• Design and implement rendering, interaction, and visual systems for large‑scale 2D environments.
• Build features that support real‑time multi‑user collaboration, messaging, and sync.
• Drive engineering quality through testing frameworks, documentation, and best practices.
• Work closely with product, design, and engineering stakeholders to shape the future of the editor.
• Contribute to a deeply technical platform used by millions of users worldwide.

Your Skills & Experience

You will be a strong match if you bring:
Must‑haves

• 10+ years of software engineering experience.
• 5+ years working in computer graphics, rendering, visual editing, or graphics‑intensive systems.
• 3+ years building distributed or real‑time collaboration systems (e.g., Google Docs, multiplayer games, live shared editors).
• Experience with JavaScript/TypeScript (or transferable languages such as C++ or Rust).
• Strong understanding of 2D graphics, rendering pipelines, interaction systems, and UI frameworks.
• Experience owning the full lifecycle of graphics or visual platform projects.
• A track record of technical leadership and driving platform‑level decisions.

Nice‑to‑haves

• Background in gaming, visual editors, or large‑scale interactive applications.
• Personal graphics projects or research demonstrating a passion for the domain.
• Experience with real‑time systems architecture, protocol design, or custom rendering engines.

How to Apply

If you’re a senior engineer passionate about graphics, real‑time collaboration, and platform‑level impact, apply today and we’ll be in touch.

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Lead Data Engineer

£100,000 – £120,000

UK, Remote

An opportunity for a highly technical Lead Data Engineer looking to join a fast-growing Online Gambling and Sports Betting Platform that focuses on its first-in-class mobile app.

THE COMPANY

This future-ready Online Gambling and Sports Betting Platform offers customers the best mobile app experience in the industry.

THE ROLE

As a Lead Data Engineer, you will take charge of a Data Engineering team focused on data ingestion and modelling.

Specifically, you can expect to be involved in the following:

• ETL pipelines for data ingestion and data modelling
• Using AWS to store and process data, with Snowflake as the data warehouse
• Use of Python and SQL
• Data orchestration and use of Terraform

SKILLS AND EXPERIENCE

The successful Lead Data Engineer will have the following skills and experience:

• Strong Python and SQL skills
• AWS or GCP
• Orchestration, ideally with Airflow or Dagsta but open to others
• Data warehousing – Snowflake, Redshift, BigQuery (NOT Databricks)
• Terraform or Palumi

BENEFITS

The successful Lead Data Engineer will receive the following benefits:

• Salary between £100,000 – £120,000 – 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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Staff Machine Learning Engineer

Salary – £100,000

Remote Europe

Looking for a role that gives you the opportunity to lead impactful machine learning projects while shaping the technical direction of a growing AI function? Excited by influencing strategy, mentoring engineers, and working fully remotely across Europe within a flexible, supportive environment?

THE COMPANY

This organisation is a forward‑thinking technology business building data‑driven products powered by advanced machine learning. They solve complex challenges across areas such as NLP, automation, and large‑scale model deployment. With a distributed technical team across Europe, they emphasise collaboration, experimentation, and strong engineering standards. You’ll join at a time of investment in AI, where your decisions directly shape the road-map and overall model capability.

THE ROLE

As a Staff Machine Learning Engineer you will…

• Lead the design, development, and deployment of end‑to‑end ML solutions.
• Architect scalable ML systems and pipelines that integrate seamlessly with cloud infrastructure.
• Mentor engineers, championing best practices across coding, experimentation, and MLOps.
• Collaborate with Product and Engineering teams to define priorities and model strategy.
• Apply deep learning, NLP or classical ML techniques to real‑world, high‑impact problems.
• Uphold responsible AI principles across model development and evaluation.

YOUR SKILLS & EXPERIENCE

The successful Staff Machine Learning Engineer will have:

• Strong Python skills and experience with ML frameworks such as TensorFlow or PyTorch.
• Deep knowledge of machine learning and modern deep learning techniques.
• Experience deploying ML models to production using cloud platforms (AWS, GCP or Azure).
• Familiarity with big‑data or distributed tools (Spark, Kafka or similar).
• A track record of leading complex ML projects and influencing technical decisions.
• Excellent communication skills across distributed, cross‑functional teams.

WHAT THEY OFFER

The successful Staff Machine Learning Engineer will receive:

• Fully remote work across Europe with flexible collaboration hours.
• Modern tooling, supportive leadership, and clear progression into senior technical influence.
• Exposure to diverse ML applications and the chance to shape long‑term AI strategy.

HOW TO APPLY

Please register your interest by applying via the link on this page with your CV.

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Lead Data Engineer

UK – Remote | £110,000-£130,000 + benefits

This is an exciting opportunity to step into a high‑impact Lead Data Engineer role within a fast‑scaling, fully remote tech business. You’ll shape their data engineering function, lead technical direction, and build modern, robust data infrastructure that directly powers real‑time product and commercial decision‑making.

The Company

They are a next‑generation digital platform operating in a fast‑growing consumer market, backed by recent multi‑million Series C investment. Their product is built around best‑in‑class engineering, modern design, and a mission to deliver an intuitive, mobile‑first user experience. With strong year‑on‑year growth, they are now expanding their data function to support scale, performance, and product innovation.

You’ll be joining an engineering‑driven environment where data is central to the product and where technical excellence is genuinely valued.

The Role

As Lead Data Engineer, you will act as both a hands‑on technical expert and a mentor to a growing team. You’ll drive engineering standards, own key architectural decisions, and deliver scalable, reliable pipelines and models.

You will:

• Lead the technical strategy for data engineering across ingestion, modelling, orchestration, and automation.
• Build and maintain high‑quality ETL pipelines using modern tooling and cloud‑native infrastructure.
• Develop robust data models and frameworks to support analytics, reporting, and product teams.
• Champion best practices across testing, version control, monitoring, and CI/CD.
• Collaborate with engineering and data leadership to align technical decisions with broader business strategy.
• Mentor mid‑level and senior engineers, raising the bar on technical capability and engineering quality.
• Influence tooling choices and introduce new technologies to improve reliability and scalability.

Your Skills & Experience

You will be a strong fit if you bring:

Must‑haves

• 7+ years’ experience in data engineering.
• Deep expertise in Python and SQL.
• Strong experience building ETL pipelines and distributed data systems.
• Solid cloud experience – ideally AWS (open to GCP).
• Orchestration experience (Dagster, Airflow, or similar).
• Experience with modern data warehouses such as Snowflake, Redshift, or BigQuery.
• Infrastructure‑as‑code experience (Terraform or Pulumi).
• Strong data modelling capability (dimensional modelling, Data Vault, etc.).
• Background in software engineering or backend development is highly desirable.
• Experience in high‑growth or smaller technology environments.

Nice‑to‑haves

• Snowflake experience.
• Experience with dbt, Fivetran, AWS Glue, or Apache Iceberg.
• Prior leadership or mentoring experience (team lead/tech lead).

What They Offer

• The opportunity to influence architecture, tooling, and engineering standards from day one.
• A pathway into broader leadership as the team expands to 8+ engineers.
• A modern, well‑funded environment where engineering maturity is valued and rewarded.

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This role sits at the heart of a leading UK financial services business, where analytics directly shapes strategy, influences decision‑making, and drives meaningful change.

You’ll take a lead role across high‑impact analytical initiatives, working closely with stakeholders to turn complex data into accessible, actionable insights.

Your day-to-day

• Lead on complex, business‑critical data analysis, extracting and manipulating large datasets to solve real commercial problems.
• Partner with cross‑functional teams and senior stakeholders to design intuitive data solutions, tools, and self‑service frameworks.
• Identify trends and opportunities across multiple data sources to generate insights that support business growth.
• Act as a subject matter expert within key analytical workstreams, becoming a trusted advisor across the organisation.
• Explore and adopt emerging technologies to continuously improve analytical capability and ways of working.

What you bring (core requirements)

• Strong experience in data analytics with advanced SQL skills.
• A solid understanding of data structures, data transformation, and analytical best practices.
• Proven ability to communicate complex insights clearly to non‑technical stakeholders.
• A structured, curious, and analytical mindset with strong problem‑solving skills.
• Confidence taking ownership of work, managing priorities, and delivering at pace.

Desirable skills (for the higher end of the salary range)

• Proficiency in an additional programming language such as Python or R.
• Experience leading analytical initiatives or acting as a subject matter expert within a domain.
• Exposure to building or enabling self‑service analytics solutions.
• Experience working in highly regulated or large‑scale data environments.

What’s on offer

• Salary range of £40,000-£55,000, depending on experience.
• Clear opportunities for learning, development, and career progression.
• Hybrid working from a Nottingham office (3 days per week).
• A competitive benefits package including bonus, pension, private medical insurance, and generous holiday allowance.

If this sounds like a role you’d enjoy, feel free to drop me a message to learn more.

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Staff Machine Learning Engineer – Fully Remote

LLM & NLP required

We are hiring for a Staff MLE to join a large global organisation delivering advanced language and AI solutions to clients.

The Role

• Lead and architect large‑scale machine learning projects
• Build and deploy scalable ML models, pipelines, and systems
• Mentor engineers and set technical direction across teams
• Drive innovation through research and adoption of new ML techniques
• Present technical insights to both technical and non‑technical audiences

Your Skills & Experience

• 8+ years in Machine Learning Engineering or similar senior roles
• Strong Python skills; experience with deep learning frameworks (TensorFlow, PyTorch)
• Solid understanding of ML algorithms, statistics, and data modelling
• Experience with large‑scale data tools (Hadoop, Spark, Kafka)
• Cloud & MLOps experience (AWS, Azure, or GCP)
• NLP experience highly beneficial
• Strong leadership, communication, and stakeholder management

To Apply for this Job Click Here

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CRM Executive – Bloomreach/Braze
Location: West London (Hybrid, 2-3 days in office)
Salary: Up to £35,000

We’re looking for a CRM Executive to join a global digital team delivering innovative marketing and customer experience solutions. This hybrid role offers exposure to high-profile clients and a collaborative, fast-paced environment.

What you’ll do:

• Support the execution of multi-channel CRM campaigns.

• Manage campaign setup, segmentation, and performance reporting.

• Analyse data to optimise campaigns and improve customer engagement.

• Help drive CRM system improvements and adoption across teams.

• Collaborate with colleagues to align CRM initiatives with business goals.

What we’re looking for:

• 2+ years of CRM experience, ideally with one or more leading marketing platforms.

• Strong degree/university background.

• Open to candidates from a range of professional backgrounds.

• Comfortable working in a collaborative, fast-moving environment.

Why this role:

• Join a global team delivering cutting-edge marketing solutions.

• Work with a variety of well-known brands.

• Gain exposure to both client-facing and technical CRM work.

Recruitment process:

• Initial 30-minute interview

• Short online task (~17 minutes)

• Interview with line manager

Find out more ad apply via the link beloew.

• Final face-to-face in the office

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Principal Product Manager – Data Innovation

£125,000-£150,000 + Bonus

Fully Remote in The UK (With occasional US Travel)

The Company

This role sits within a global research technology platform operating at the intersection of data, media measurement, and advanced analytics. The organisation operates at significant scale across international markets, supporting enterprise clients with data-driven solutions.

Responsibilities:

* Define and champion a multi-year product vision for a Data Innovation portfolio, driving adoption, revenue growth, and market penetration

* Identify, size, and validate product opportunities through customer research, market analysis, and data insights

* Translate complex customer, commercial, and technical problems into clear product requirements and roadmaps

* Partner closely with Engineering and Data Science teams to guide execution and manage technical trade-offs

* Own go-to-market strategy and lead product commercialisation, turning platform capabilities into scalable revenue streams

* Act as a subject matter expert in synthetic data and data collaboration across the organisation

* Align and influence stakeholders across Product, R&D, Data Science, Commercial, Legal, and Marketing functions

* Communicate product vision and strategy through clear, compelling storytelling at senior leadership level

Skills & Requirements:

* Proven track record of launching and scaling complex data products or platforms. Its crucial you can explain how you have launched and scaled a data product from scratch.

* Experience building media measurement solutions from 0-1

* Strong stakeholder leadership across both technical and commercial functions

* Excellent written and verbal communication skills, with the ability to “storytell” at senior leadership level

* Background in ResTech, market research, or media measurement strongly preferred

* Experience delivering B2B and SaaS product solutions

* Direct end-to-end lifecycle experience with AI/ML-driven products

* Comfortable engaging in in-depth discussions on technical concepts and trade-offs

* Not required to be hands-on technically, but must demonstrate strong technical credibility

Send your CV to register your interest.

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