data & AI
Diversity Report

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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.

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

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

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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