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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.

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DATA ENGINEER

£45,000-£50,000 + BENEFITS

BIRMINGHAM (Hybrid)

This is an exciting opportunity to join a growing analytics function at a time of significant business expansion. You will play a key role in ensuring reliable, accessible data for teams across the organisation, while helping shape a more modern data environment.

THE COMPANY:

They are a long‑established manufacturer within the healthcare sector, supplying specialist products across the UK and internationally. With strong year‑on‑year growth and an expanding digital presence, they are investing in analytics to better support sales, marketing, production, and quality teams.

THE ROLE:

You will support the organisation by maintaining and improving core data pipelines across Azure and ensuring stable, high‑quality data for analysts and business stakeholders. Key responsibilities include:

• Managing daily data transfers from legacy systems into Azure SQL
• Maintaining and enhancing pipelines
• Building new pipelines and APIs where required
• Carrying out web scraping to gather customer insight
• Supporting data architecture improvements and reducing duplication in the environment

YOUR SKILLS AND EXPERIENCE:

• Strong commercial experience with Azure, Python, and SQL
• Proven experience managing and maintaining data pipelines
• Confident working with APIs and integrating multiple data sources
• Comfortable collaborating with non‑technical stakeholders and supporting a small team

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £50,000 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.

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DATA ENGINEER

UP TO £55,000 + BENEFITS

Remote (UK based)

This is a great opportunity to join a high‑growth data and machine learning consultancy where you can take ownership of automation, integrations, and ETL pipelines.

THE COMPANY:

They are a fast‑scaling organisation specialising in alternative data and machine learning solutions for investors and commercial teams. Their platform delivers data‑driven insights across a range of industries, supported by a strong engineering culture. With continued growth and recent investment, they are expanding their core engineering team to further improve internal data workflows and automation.

THE ROLE:

You will take ownership of ETL and automation activities that enable efficient, high‑quality data science delivery. Key responsibilities include:

• Building and maintaining custom ETL pipelines that support internal data workflows.
• Creating and improving automation processes that connect tools, systems, and reporting.
• Integrating internal and external APIs to streamline workflows.
• Orchestrating pipelines using Airflow or AWS Step Functions.
• Deploying containerised workloads into AWS.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Python, including Pandas and standard data libraries.
• ETL pipeline development and data workflow automation.
• AWS as a core operating environment.
• Containerisation using Docker.
• Workflow orchestration tooling such as Airflow or Step Functions.
• Integrating with external APIs and internal tools.

THE BENEFITS:

You will receive a salary of up to £55,000 depending on experience, along with a comprehensive benefits package.

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

DATA ENGINEER

UP TO £55,000 + BENEFITS

Remote (UK based)

This is a great opportunity to join a high‑growth data and machine learning consultancy where you can take ownership of automation, integrations, and ETL pipelines.

THE COMPANY:

They are a fast‑scaling organisation specialising in alternative data and machine learning solutions for investors and commercial teams. Their platform delivers data‑driven insights across a range of industries, supported by a strong engineering culture. With continued growth and recent investment, they are expanding their core engineering team to further improve internal data workflows and automation.

THE ROLE:

You will take ownership of ETL and automation activities that enable efficient, high‑quality data science delivery. Key responsibilities include:

• Building and maintaining custom ETL pipelines that support internal data workflows.
• Creating and improving automation processes that connect tools, systems, and reporting.
• Integrating internal and external APIs to streamline workflows.
• Orchestrating pipelines using Airflow or AWS Step Functions.
• Deploying containerised workloads into AWS.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Python, including Pandas and standard data libraries.
• ETL pipeline development and data workflow automation.
• AWS as a core operating environment.
• Containerisation using Docker.
• Workflow orchestration tooling such as Airflow or Step Functions.
• Integrating with external APIs and internal tools.

THE BENEFITS:

You will receive a salary of up to £55,000 depending on experience, along with a comprehensive benefits package.

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

DATA ENGINEER

UP TO £55,000 + BENEFITS

Remote (UK based)

This is a great opportunity to join a high‑growth data and machine learning consultancy where you can take ownership of automation, integrations, and ETL pipelines.

THE COMPANY:

They are a fast‑scaling organisation specialising in alternative data and machine learning solutions for investors and commercial teams. Their platform delivers data‑driven insights across a range of industries, supported by a strong engineering culture. With continued growth and recent investment, they are expanding their core engineering team to further improve internal data workflows and automation.

THE ROLE:

You will take ownership of ETL and automation activities that enable efficient, high‑quality data science delivery. Key responsibilities include:

• Building and maintaining custom ETL pipelines that support internal data workflows.
• Creating and improving automation processes that connect tools, systems, and reporting.
• Integrating internal and external APIs to streamline workflows.
• Orchestrating pipelines using Airflow or AWS Step Functions.
• Deploying containerised workloads into AWS.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Python, including Pandas and standard data libraries.
• ETL pipeline development and data workflow automation.
• AWS as a core operating environment.
• Containerisation using Docker.
• Workflow orchestration tooling such as Airflow or Step Functions.
• Integrating with external APIs and internal tools.

THE BENEFITS:

You will receive a salary of up to £55,000 depending on experience, along with a comprehensive benefits package.

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

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AI Engineer – Crypto Start Up

We are working with a Crypto Start-up company looking to hire a Machine Learning / AI Engineer

Requirements:

• RAG, LLM, GenAI experience
• Strong Data science experience
• Deployment / engineering experience
• Interest in Crypto

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Analyst – Marketing / CRM / Campaign Analytics

£45,000-£50,000 | Hybrid (2+ days office, Central London)

We’re partnering with a well-established creative and insight-led organisation that delivers large-scale campaigns The business has a strong track record in data-driven decision making and is investing further in its analytics capability.

They’re hiring a Data Analyst into a business-critical replacement role, joining a small, collaborative data team with real ownership and visibility across the organisation.

The Role

This is a hands-on, varied analytics role in a fast-paced, agency-style environment. You’ll support campaign planning, forecasting, CRM insight, and stakeholder decision-making, acting as a go-to person for data questions across the business.

The role offers increasing exposure to stakeholders and the opportunity to shape how data is used day-to-day.

Key Responsibilities

• Analyse incoming datasets from multiple sources (often Excel-heavy)

• Support campaign forecasting and modelling (e.g. volumes, timelines, expected outcomes)

• Work with a relational customer database supporting a core product area

• Produce insights and reporting via Power BI

• Maintain high standards of data quality, accuracy, and documentation

• Explain methodology and recommendations clearly to non-technical stakeholders

• Take ownership of outputs that directly influence campaign and business decisions

Essential Skills & Experience

• 3-5 years’ experience in a Data Analyst role

• Background in marketing, agency, or fast-moving commercial environments

• Advanced Excel (lookups, formulas, visualisation)

• Strong SQL (joins, selects, data manipulation)

• Experience building reports in Power BI

• Solid, hands-on exposure to CRM or customer databases

• Educated in the UK (familiarity with the education system is important)

Nice to Have

• Python or R (interest or early exposure welcomed)

• Forecasting experience beyond simple historical analysis

• Experience working with education, youth, or public-facing campaigns

Team & Culture

• Small, close-knit data team with a high level of trust

• Pragmatic, collaborative working style

• Strong focus on insight, not just reporting

• Hybrid setup with at least 2 days per week in a Central London office

Package & Process

• Salary up to £50,000 (some flexibility)

• Clear scope for progression as the data function grows

• Interview process includes technical discussion and a short SQL task

• 1-month notice preferred, though longer notice can be discussed

Find out more and apply via the link below.

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Research Manager

London | 45000 to 55000

This is an excellent opportunity to join a high‑growth research and technology business that is transforming how organisations understand consumers, citizens and audiences. You will work across diverse clients, take ownership of end‑to‑end quantitative projects, and play a key role in delivering high‑quality insight using innovative research technology.

The Company

They are a fast‑scaling research and data company built around modern technology, smart automation and robust quantitative methods. Their platform delivers high‑quality polls, surveys and data outputs at speed, supporting commercial brands, non‑profits and social organisations. The team brings together strong research expertise and engineering talent, creating a collaborative environment that is both analytical and forward‑thinking. They have built a strong reputation in the market and continue to grow rapidly.

The Role

* Independently manage and deliver quantitative research projects across sectors including political, consumer and multi‑market studies.
* Lead client communication from project scoping through to presenting results and insights.
* Manage client accounts, acting as the main point of contact and understanding broader strategic needs.
* Create data tables and outputs using internal tools and reporting platforms.
* Partner with consulting and analytics teams on larger insight programmes, occasionally leading these end‑to‑end.
* Mentor and develop junior researchers, ensuring strong delivery standards.
* Design high‑quality surveys, manage sampling and ensure data integrity across all stages.
* Support the delivery of brand tracking, brand lift, ad testing, segmentation and multi‑country research programmes.
Your Skills And Experience
* Strong experience delivering quantitative market research projects from brief to debrief.
* Confident designing surveys, managing fieldwork and producing data tables and cross‑breaks.
* Comfortable cleaning raw data and ensuring outputs meet strong quality standards.
* Strong Excel capability; familiarity with tools such as DisplayR is beneficial.
* Commercial awareness and ability to support quoting, proposals and RFP responses.
* Able to manage client conversations, challenge assumptions and provide clear recommendations.
* Comfortable mentoring junior team members and supporting their development.
* Detail‑oriented, proactive and committed to delivering high‑quality research.

What They Offer

* Salary between 45000 and 55000.
* Hybrid working with four days a week in their London office
* Exposure to a wide variety of clients across commercial, political and social sectors.
* Opportunity to work with innovative research technology, including AI‑powered tools.
* Benefits including private healthcare, 25 days annual leave and pension contributions.
* A collaborative, inclusive environment with strong learning and development opportunities.

How To Apply

If you are looking to take ownership of impactful quantitative research projects within a modern, innovative research team, apply now to learn more.

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Lead Data Analyst

London Bridge hybrid, £65,000 plus benefits

A great opportunity to take on a strategic Lead Data Analyst role where you will work across experimentation, modelling and BI projects, while shaping long term data strategy and supporting complex digital marketing programmes.

The Company
They are a high growth data and performance consultancy combining analytics, data science and engineering to drive measurable, sustainable growth for well known brands. Their work spans digital marketing data, advanced measurement and predictive modelling, with strong access to client datasets and a culture centred on technical excellence.

The Role
* Lead analytical work across experimentation, causal inference and incrementality
* Build predictive models such as LTV, propensity and forecasting
* Deliver BI and reporting projects using cloud based data and dbt pipelines
* Work hands on with SQL and digital marketing data from Google and Meta
* Partner with data scientists to deploy models into advertising platforms
* Mentor analysts and contribute to technical development across the team

Your Skills And Experience

* Strong technical ability with SQL
* Experience using dbt for transformation and production data models
* Background working with digital marketing data and ad platform signals
* Exposure to BI and analytics projects using tools such as Looker or Tableau
* Understanding of experimentation, causal inference and incrementality
* Knowledge of MMM, LTV and propensity modelling
* Confident communicator who can collaborate with a range of stakeholders

What They Offer

* Up to £65,000 salary
* Hybrid working with one day per week at London Bridge
* Advanced analytics, modelling and measurement projects
* Strong progression opportunities in a growing data function

How To Apply
If this sounds like your next step, apply today to learn more.

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Senior CRM Manager
Central London (Hybrid – 3 days in office)
Up to £65,000

A fast-growing digital growth agency is looking for a Senior CRM Manager to lead strategy-led CRM programmes for high-profile UK brands.

This is a client-facing role combining insight, planning, and hands-on delivery. You’ll own CRM projects end to end across multiple clients, act as a trusted advisor to senior stakeholders, and guide junior team members along the way.

What you’ll be doing:

• Developing multi-channel CRM strategies (email, push, SMS)

• Owning segmentation, journeys, and performance optimisation

• Turning data into clear, actionable insights

• Advising clients on CRM best practice and martech

• Presenting confidently to senior client stakeholders

What we’re looking for:

• ~5 years’ CRM experience (agency experience a bonus)

• Strong strategic mindset (not just execution)

• Confident, credible, client-facing communicator

• Comfortable working across multiple clients and industries

Immediate availability is a plus, but flexibility for the right person.

Find out more and apply via the link below.

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Senior Product Analyst – £80,000 (Hybrid – London)

Industry: Global Consumer Marketplace / App
Department: Product & Insights

A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide.

What You’ll Do

• Act as the lead data scientist for a core product domain

• Drive deep product analytics to uncover opportunities for growth and engagement

• Design, analyse, and interpret experiments across the product ecosystem

• Influence product strategy by connecting insights to business goals

• Improve datasets, dashboards, and analytical tooling

• Work closely with ML teams on discovery, ranking, and personalisation initiatives

What We’re Looking For

• Expert-level SQL + solid Python for product analytics

• Hands-on A/B testing experience (design + interpretation)

• Strong understanding of ETL/debugging data issues

• Excellent communication and stakeholder management skills

• Commercially-minded with experience balancing user and business needs

• Bonus: marketplace experience or exposure to ML-driven products

Why Apply

• High-impact role shaping core product decisions

• Great benefits, flexible work, and strong wellbeing support

• Opportunity to work closely with ML teams and influence a global user experience

Find out more and apply via the link below.

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