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Senior Data Engineer

£80,000 – £90,000

Remote (Quarterly meetups in London)

You are an experienced Data Engineer looking for a challenge working with new tech for a healthcare provider with a strong social mission.

THE COMPANY

This growing healthcare provider will be working closely with corporate companies to offer services that align with their core objective of improving the mental well-being of their customer base.

THE ROLE

As a Senior Data Engineer, you will enjoy working on a team with a start-up mentality. The role involves data ingestion, transformation with autonomy and hands-off management.

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

• Data ingestion using Fivetran and Python Batch Scripts
• Using Databricks to store and process large volumes of data within an AWS environment
• Building data transformations with DBT
• Building visualisations using Power BI

Nice to Haves:

• Terraform
• Docker
• AWS Certification

SKILLS AND EXPERIENCE

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

• Strong Python skills and R
• Databricks on AWS
• Experience with strong governance
• Previous work with health providers good but not essential
• History with startups good but not essential

BENEFITS

The successful Senior Data Engineer will receive the following benefits:

• Salary/Rate between £80,000 – £90,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Client Enablement Lead – Digital Analytics & CRO Consultancy

Salary & Benefits: Base salary up to £69,000 + up to 20% performance bonus. Package includes a 7% pension, private medical, a £2,000 health and wellbeing budget, and an unlimited training budget.

Company Overview: We are a highly experienced digital analytics and conversion optimization (CRO) consultancy with a 10-year track record of delivering exceptional value. With 30% year-on-year growth and 0% staff turnover, we pride ourselves on being a true meritocracy. We work as a transparent extension of our clients’ teams-serving major global brands across the UK, EU, US, and Australia-within a warm, friendly environment free from politics and bureaucracy.

The Role: As a Client Enablement Lead, you will be the primary interface for our clients, managing multifaceted digital analytics and CRO programs. You will report directly to the COO, who will support you in ensuring the team delivers at the highest standard. Your time will be split between primary subject matter expertise in Adobe or Google Analytics (40-60%), secondary subjects like CRO planning (15-25%), and managing delivery teams and client relationships (15-45%).

Core Service Delivery: You will manage workstreams across six core service strands. This includes data layer strategy design, tag management deployment, and analytics insights support. You will be responsible for creating requirements documentation, building solution design reference (SDR) documents, and configuring analytics tools. You’ll work closely with development teams to ensure quality assurance and proactively engage with clients to enhance their data collection and usage.

Data Activation & CRO: In the Data Activation space, you will execute CRO and personalization strategies. This involves interrogating data, performing UX research, and using AI evaluation tools to generate and scope test ideas. You will oversee the development and launch of tests, build results dashboards, and turn data into compelling narratives for change. A key part of the role is thinking outside your comfort zone, such as identifying when a data audit is needed to improve testing quality.

Strategy & Mentorship: Beyond delivery, you will support the COO and clients on digital experience strategy and tool selection. You will provide high-level training to clients and act as a subject matter expert across our service strands. You will ensure all client requirements are validated and documented, drawing on your experience to help define the future of their digital roadmap.

Requirements: The successful candidate will have several years of experience working directly with Adobe Analytics or Google Analytics, including admin and reporting functions. You should have a background in managing CRO or web experimentation programs and the ability to support clients across both data collection and activation. We value proactive communicators with excellent task management skills who enjoy a fast-paced environment and have a good sense of humor.

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Senior CRM Executive – Lifecycle Marketing | Up to £40,000 | Fully Remote | 9-Month Maternity Cover

A major membership-based business serving over 4 million members across the UK is looking for a Senior CRM Executive to join their lifecycle marketing team on a 9-month maternity cover.

About the Company

This membership organisation offers exclusive discounts and benefits to emergency services, healthcare professionals, armed forces personnel, and other key workers. Members pay an annual fee for access to deals across thousands of partners including theatre, cinema, retail, travel, and events. The business serves over 4 million members with 15,000+ partner brands. Backed by private equity, the company has 250+ employees and a global presence including Australia.

The Role

This is a hands-on CRM execution role focused on building, scheduling, and optimising lifecycle campaigns using Braze. You will work with the Head of CRM and Lifecycle Team Lead to deliver automated journeys, transactional messaging, and promotional campaigns across email, push, SMS, and in-app channels. You will build campaign journeys from scratch, create email and SMS templates, write copy, and ensure campaigns are set up correctly with segmentation, personalisation, and dynamic content.

Key Responsibilities

Build and schedule lifecycle, transactional, and promotional campaigns across email, push, SMS, and in-app messaging using Braze. Support automated journeys including onboarding, renewal reminders, and win-back campaigns. Create email and SMS templates. Write campaign copy aligned with brand tone. Maintain accurate content across customer journeys including offers, seasonal messaging, and partner promotions. Set up tagging, segmentation, and personalisation for dynamic content. Build segment filters and audience targeting based on member behaviour and lifecycle stage. Monitor campaign performance and identify improvement opportunities. Contribute to campaign reporting.

What You Will Work On

Automated lifecycle journeys including welcome sequences, onboarding flows, renewal reminders, win-back campaigns, and engagement streams. Transactional messaging including order confirmations, membership renewals, password resets, and account updates. Promotional campaigns for partner offers, seasonal events, ticket sales, and member benefits. Segmentation and personalisation to ensure the right message reaches the right member.

Essential Skills

1+ years CRM, email marketing, or lifecycle marketing experience. Hands-on Braze or Iterable experience. Ability to build segment filters and audience targeting. Understanding of lifecycle marketing principles including onboarding, engagement, retention, and win-back. Experience building multi-channel campaigns across email, SMS, push, and in-app. Ability to create email and SMS templates. Campaign copywriting experience. Strong attention to detail and QA skills. Analytical mindset to interpret campaign performance. Self-sufficient and able to work autonomously remotely.

Desirable Skills

Membership, subscription, or loyalty business experience. A/B testing and experimentation familiarity. Data privacy and compliance understanding. High-volume campaign environment experience.

What’s On Offer

Salary up to £40,000. Fully remote with optional office access in London or Leicestershire. Report to Lifecycle Team Lead and work with Head of CRM. Fast-paced, member-focused team environment.

Interview Process

Stage 1: Discussion with Lifecycle Team Lead about CRM experience and Braze expertise. Stage 2: Practical task to assess campaign building and segmentation ability.

About You

You are a hands-on CRM executor who loves building campaigns, setting up journeys, and optimising performance. You have Braze or Iterable experience and can build segment filters, set up dynamic content, and schedule multi-channel campaigns. You understand lifecycle marketing and member engagement. You are detail-oriented, self-sufficient, and thrive remotely.

Join a high-impact CRM team at a membership business serving millions of key workers. If you have Braze or Iterable experience and want to own lifecycle campaign execution remotely, please get in touch.

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HEAD OF ENGINEERING

Up to £130,000 + BENEFITS

Remote UK based

This is a rare opportunity to lead engineering at scale while working on genuinely complex technical challenges. You’ll own the engineering roadmap across all products, driving architectural decisions for distributed data processing, ML pipelines, and modern web systems that handle massive datasets for enterprise clients.

THE COMPANY:

This is a business built on innovation, stability, and genuine technical excellence. Recently recognized for cutting-edge GenAI data work, they’re operating at the absolute intersection of large-scale distributed systems, ML, and the rapid evolution of search technology.

THE ROLE:

• Own and execute the engineering roadmap
• Drive architectural decisions for distributed data processing, ML pipelines, and web architecture
• Ensure systems can scale to handle massive datasets and evolving ML workloads
• Champion best practices around testing, observability, incident response, and documentation
• Set standards for AI-assisted development practices at scale

YOUR SKILLS AND EXPERIENCE:

• Lead multi-disciplinary teams across Backend, Web, Data Engineering, Data Science, QA, and DevOps

• Understanding how ML models are delivered, deployed, and maintained in production
• Familiarity with the ML lifecycle: feature stores, model deployment platforms, pipeline orchestration
• Experience working at the forefront of GenAI tools (ChatGPT, Gemini, Perplexity)

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £130,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

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.

To Apply for this Job Click Here

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Remote – Europe

Staff/ Lead Machine Learning Engineer

We are working with a global languages and translation company. They are focused on designing, developing, and deploying cutting-edge machine learning solutions across the company.

Responsibilites:

• Leadership of technical projects
• Mentoring junior members of the team
• Architecture of ML solutions
• Fine tuning LLMs
• Presenting technical insights

Skills:

• Ability to write and produce production-grade code in Python
• Experience with TensorFlow, PyTorch and Scikit-learn
• Experience with NLPs and LLMs
• Strong knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning
• Leadership of technical projects

To Apply for this Job Click Here

To Apply for this Job Click Here

LEAD DATA PLATFORM ENGINEER

£85,000 + BENEFITS

PRIMARILY REMOTE

This is a standout opportunity to take ownership of a modern data platform and drive the evolution of a Databricks‑centric environment at scale.

THE COMPANY:

This client are a well‑established organisation with a strong engineering culture and a growing Data and Machine Learning function. The team is collaborative, supportive and operates with solid engineering principles at its core. With flexible‑by‑choice working, a positive work‑life balance and a commitment to technical excellence, this is an environment where you can make a visible impact while continuing to grow your expertise

THE ROLE:

You will focus on the design, build and optimisation of the Azure Databricks Lakehouse platform, ensuring it is scalable, secure and reliable. You will work closely with engineers and stakeholders across the business, providing technical leadership and taking ownership of key data platform initiatives.

Key responsibilities include:

• Developing and deploying the Lakehouse platform in Azure.
• Owning Databricks engineering, administration and platform optimisation.
• Designing end‑to‑end data platform solutions
• Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory.
• Creating and maintaining CI/CD pipelines and automated testing frameworks.
• Developing APIs to support integration
• Implementing monitoring, logging and alerting for platform reliability.

YOUR SKILLS AND EXPERIENCE:

• Deep expertise in Databricks, PySpark, Python and SQL.
• Proven experience designing and delivering Lakehouse solutions.
• Strong DevOps capabilities, including CI/CD and automated testing.
• Experience with Infrastructure as Code and cloud automation.
• Familiarity with monitoring, logging and alerting tools.
• Strong stakeholder engagement and the ability to work across teams.
• Experience with APIs and data integration methods.
• Azure Data Factory experience is beneficial.

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £85,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Python Web Scraping Engineer

£60,000 – £70,000

Remote (UK-based)

Are you a highly experienced Web Scraper who can scrape from heavily defended sites for a leading platform in AI-driven Search Intelligence? If so, this may the next exciting step in your career.

THE COMPANY

This leading company is at the forefront of using AI to power its Search Intelligence Platform.

THE ROLE

As a Python Web Scraping Engineer, you will scrape data from heavily defended sites using Python.

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

• Using browser automation tools (Playwright, Selenium, Puppeteer or similar)
• HTML parsing and data extraction
• Handling bot detection systems
• Cloud-based scraping at scale

SKILLS AND EXPERIENCE

The successful Python Web Scraping Engineer will have the following skills and experience:

• Anti-bot detection and evasion
• Browser fingerprinting techniques
• CAPTCHA solving and handling
• Proxy management and IP rotation

BENEFITS

The successful Python Web Scraping Engineer will receive the following:

• Salary between £60,000 – £70,000 – depending on experience
• Competitive benefits

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

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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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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.

To Apply for this Job Click Here

To Apply for this Job Click Here

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.

To Apply for this Job Click Here

To Apply for this Job Click Here

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