The Data And AI Podcast
This podcast will cover a range of topics such as finding data talent, and AI training. We will also discuss more advanced subjects like assessing the value of your data team, identifying biases in AI and addressing pay gaps in Data and AI.
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Data Recruitment & AI Talent Solutions
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Databricks QA Engineer
London
£50000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Databricks QA Engineer
Remote (UK) | £50,000 – £60,000 + Benefits
Must have full UK working rights
Are you a Data QA Engineer with strong Databricks and PySpark experience looking for a role where you can make a genuine impact? This is an opportunity to join a growing data function at a pivotal stage of its data transformation journey, helping to shape testing standards, improve data quality practices, and ensure the successful delivery of a modern cloud-based data platform.
The Company
This organisation is investing heavily in its data capabilities and building a modern data platform to support business-wide decision making. They have a collaborative culture where data teams work closely with stakeholders across the business to deliver high-quality, reliable solutions. With significant projects underway, they are looking for an experienced Data QA Engineer who can bring expertise, ownership, and a proactive approach to quality assurance.
The Role
As a Data QA Engineer, you will play a key role in ensuring the quality, reliability, and performance of a cloud-based data platform and associated products.
Responsibilities include:
- Designing, executing, and maintaining testing activities across data platforms and data products
- Performing functional, integration, regression, and data validation testing
- Working closely with Data Engineers, Analytics Engineers, and business stakeholders to identify risks and ensure robust solutions
- Developing testing strategies and helping define quality standards across the team
- Driving continuous improvement in testing processes, tools, and frameworks
- Managing defects through investigation, tracking, and resolution
- Working within a Databricks and PySpark environment, contributing to both testing and development activities
- Providing guidance and best practice recommendations around quality assurance and testing approaches
- Supporting the successful delivery of a large-scale data and analytics programme
Your Skills & Experience
You will bring:
- Strong commercial experience within Data QA, Software Testing, or Quality Engineering
- Experience testing data platforms, data pipelines, and complex technical solutions
- Hands-on experience with Databricks
- Strong PySpark, SQL, and Python skills
- Experience collaborating with both technical teams and business stakeholders
- Knowledge of testing methodologies, defect management, and quality assurance best practices
- Experience working within Agile delivery environments
- Exposure to CI/CD pipelines and modern data engineering practices would be advantageous
- Excellent communication skills with the confidence to challenge, influence, and drive improvements where required
What They Offer
- £50,000 – £60,000 base salary
- Comprehensive benefits package
- Remote-first working model
- Flexible-by-choice working policy designed around work-life balance
- Opportunity to influence testing standards within a growing data team
- Exposure to modern technologies including Databricks, PySpark, SQL, and Python
- Career development within a business investing heavily in data and analytics
How to Apply
If you’re a Data QA Engineer with Databricks, PySpark, SQL, and Python experience and are looking for a role where you can shape quality standards whilst working on a modern data platform, apply today.
To Apply for this Job Click Here
Senior AI Engineer
London
£80000 - £100000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior AI Engineer – Remote
Join a growing AI team building production-grade machine learning and generative AI solutions that solve complex real-world challenges. This is an opportunity to combine AI research, engineering, and innovation in a highly autonomous role.
The Company
They are a technology business investing heavily in AI, with a focus on developing advanced machine learning, generative AI, and agentic systems. The environment is research-led, collaborative, and focused on turning cutting-edge ideas into scalable products.
The Role
- Design and deploy machine learning, deep learning, and LLM-based solutions
- Build RAG pipelines, agentic AI systems, and model evaluation frameworks
- Work across the full AI lifecycle from problem definition to deployment
- Apply both classical ML techniques and modern AI approaches
- Use AI-assisted development tools such as Claude Code, Codex, or similar
- Help shape technical direction and mentor other engineers
Your Skills & Experience
- Strong commercial experience across machine learning and generative AI
- Hands-on expertise with Python, PyTorch, Scikit-learn, and Hugging Face
- Experience building production AI systems and MLOps pipelines
- Practical use of AI coding assistants and agentic engineering workflows
- Ability to own projects independently from concept to delivery
- MSc required, PhD advantageous
To Apply for this Job Click Here
Data Engineer
San Francisco
$130000 - $150000
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
Data Engineer – Hybrid in San Francisco – $130,000-150,000
About the Opportunity
We are seeking a Data Engineer to join a growing data team and help scale the data foundation of a rapidly expanding business. This is a high-impact role supporting critical operational functions across manufacturing, inventory management, project delivery, and business operations.
Reporting to the Analytics Engineering function, you will own and enhance core data pipelines, improve data quality and visibility across business systems, and help stakeholders make better operational decisions through reliable, accessible data.
This position offers significant ownership, autonomy, and exposure to leadership as the organization continues to scale.
What You’ll Do
Data Engineering & Pipeline Development
- Own, maintain, and optimize approximately 20 existing production data pipelines.
- Design, build, and deploy new data pipelines to support business growth and evolving operational requirements.
- Develop and maintain scalable ETL/ELT processes across multiple business systems.
- Monitor data workflows, troubleshoot issues, and ensure high levels of reliability and accuracy.
- Improve data architecture, data quality, and pipeline performance.
Operational Data & Systems
- Integrate data from ERP, project management, design, manufacturing, inventory, and operational systems.
- Ensure source system accuracy and integrity to support reporting and decision-making.
- Build solutions that provide visibility into manufacturing output, inventory levels, project status, and operational performance.
- Ingest and manage public datasets to support strategic business initiatives and market analysis.
Cross-Functional Partnership
- Partner with stakeholders across operations, manufacturing, supply chain, project management, and business teams.
- Gather requirements, identify opportunities for automation, and deliver actionable data solutions.
- Translate technical concepts into clear business insights for non-technical stakeholders.
- Serve as a trusted partner helping teams leverage data to improve efficiency and execution.
What Success Looks Like
During your first 6 to 12 months, you will:
- Become the primary owner of critical operational data pipelines.
- Improve visibility into key manufacturing and inventory workflows.
- Increase confidence in source-system data quality and reporting accuracy.
- Build new data products and integrations that help teams scale efficiently.
- Create stronger data connectivity across operational functions and business stakeholders.
Required Qualifications
- 2-4 years of experience in Data Engineering, Analytics Engineering, or a related field.
- Advanced SQL skills with a strong understanding of relational databases.
- Experience building, maintaining, and scaling data pipelines and ETL/ELT processes.
- Strong communication and stakeholder management abilities.
- Ability to work independently in a fast-paced, high-growth environment.
- Proven track record of owning problems end-to-end and delivering business impact.
- Experience working across multiple domains rather than a narrowly specialized technical scope.
Preferred Qualifications
- Experience working with ERP platforms, particularly NetSuite or similar enterprise systems.
- Experience with transactional databases and operational business systems.
- Proficiency in Python.
- Experience with dbt, Spark, Databricks, or modern data platforms.
- Experience integrating APIs and third-party data sources.
- Familiarity with TypeScript or software engineering fundamentals.
To Apply for this Job Click Here
CRM Growth Marketing Consultant (Customer.io)
City of London
£300 - £300
+ Advanced Analytics & Marketing Insights
ContractCity of London, London
To Apply for this Job Click Here
CRM Growth Marketing Consultant (Contract)
Remote, UK | Outside IR35 | £300/day | 3-month Contract | Part-time (2x a week)
This is an opportunity to shape the customer growth strategy for a well-established digital consumer platform. The organisation is looking for a commercially minded CRM and lifecycle marketing specialist who can move beyond campaign execution, using customer data and behavioural insights to create new growth opportunities and drive subscription uptake.
The Company
They are a digital product business with an engaged user base and a subscription offering. Their platform generates rich behavioural data, enabling a highly data-led approach to customer engagement and retention. Having established core customer communications, they are now looking to bring in strategic CRM expertise to uncover new growth opportunities and maximise customer value.
The Role and Deliverables
- Develop and recommend lifecycle marketing and CRM strategies to drive subscription growth.
- Analyse customer behaviour data using GA4 and other available data sources to identify engagement patterns and opportunities.
- Create data-driven campaign concepts, including new customer journeys, retention initiatives, and conversion programmes.
- Partner with internal product and development teams to define campaign requirements and support delivery.
- Assess the impact and expected commercial outcomes of proposed campaigns and initiatives.
- Advise on customer communication best practice, including consent management and channel limitations across email and push notifications.
Your Skills & Experience
- Strong experience developing CRM, lifecycle marketing, or customer engagement strategies for digital products or apps.
- Ability to interpret customer behavioural data and translate insights into actionable growth initiatives.
- Confident working with GA4 and using analytics to inform customer marketing decisions.
- Experience with Customer.io
- Strong stakeholder management skills, with the ability to influence strategy and communicate recommendations clearly.
- Creative and commercially minded approach to identifying new customer growth opportunities.
- Understanding of data privacy, consent requirements, and customer communication preferences.
How to Apply
If you have a track record of using customer data to drive subscription growth and can bring fresh CRM ideas backed by clear strategic rationale, please apply with your latest CV.
To Apply for this Job Click Here
Data Engineer
City of London
£60000 - £70000
+ Data Engineering
PermanentCity of London, London
To Apply for this Job Click Here
Data Engineer
Up to £70,000 + Benefits
Central London (Hybrid Working)
This is a fantastic opportunity to join a purpose-driven organisation where you can take ownership of building and developing a modern cloud-based analytics platform that supports data-driven decision-making across the business.
THE COMPANY:
Operating at the heart of the music industry, you will be part of an ongoing digital transformation programme, the business is investing heavily in its cloud-based Analytic Data Platform, creating an opportunity to work with cutting-edge data technologies while contributing to a platform that delivers real-world impact.
THE ROLE:
Key responsibilities include:
- Designing, building and maintaining scalable data pipelines and integrations.
- Developing robust ETL and data transformation processes to support analytics and reporting requirements.
- Working with Snowflake, DBT, Apache Airflow, AWS, SQL and Python to deliver high-quality data solutions.
- Collaborating with Data Architecture, DevOps and business stakeholders to ensure trusted and accessible data across the organisation.
- Contributing to engineering best practice, automation, testing, documentation and continuous improvement initiatives.
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- SQL and Python development.
- Building and maintaining ETL/data pipelines in production environments.
- Cloud-based data platforms, ideally within AWS.
- Data modelling, transformation and orchestration methodologies.
- Delivering high-quality, well-documented and thoroughly tested data solutions.
- Experience with Snowflake, DBT and Apache Airflow.
- Interest in AI and emerging technologies within the data engineering landscape.
THE BENEFITS:
You will receive a salary of up to £70,000 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
CRM Consultant (Customer.io / Braze)
London
£250 - £300
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
CRM Consultant (Customer.io / Braze) – Contract
Agency – Subscription Client
£250-£300 per day – Outside IR35
UK – Remote
This is an opportunity to join a growing digital consultancy supporting a high-growth mobile app subscription business through its next phase of CRM maturity. Following a major app migration, the focus has shifted towards unlocking customer value through lifecycle marketing, behavioural insights and data-led growth initiatives. The successful contractor will act as a strategic partner, helping shape CRM programmes that drive engagement, subscriptions and revenue.
The Company
They are a digital agency that operates as an extension of their clients’ marketing and CRM functions. Their work combines customer engagement, lifecycle marketing and data-driven decision making to help clients improve retention and commercial performance. The team is collaborative, remote-first and values proactive thinking, experimentation and measurable business impact.
The Role and Deliverables
- Manage and optimise CRM activity across email, push notification and in-app messaging channels using Customer.io and similar customer engagement platforms.
- Develop and recommend lifecycle marketing strategies that improve customer engagement, subscription conversion and retention.
- Analyse customer behaviour and performance data within GA4 and related analytics tools to identify growth opportunities.
- Partner with developers to ensure customer events, attributes and tracking frameworks are correctly implemented and maintained.
- Create campaign briefs, customer journeys and audience segmentation strategies based on lifecycle stage and behavioural insights.
- Deliver a proactive CRM growth roadmap and optimise existing programmes to improve performance and commercial outcomes.
Your Skills & Experience
- Strong experience with Customer.io, Braze or Iterable in a CRM, lifecycle marketing or customer engagement environment.
- Demonstrable capability in developing CRM strategies and lifecycle programmes that drive measurable business outcomes.
- Confidence using GA4 to analyse customer behaviour and inform CRM decision making.
- Experience working with developers to implement event tracking, customer attributes and data integrations.
- Strong understanding of audience segmentation, personalisation, consent management and customer journey optimisation.
- Ability to communicate recommendations clearly, influence stakeholders and act as a trusted client partner.
- Experience within subscription-based, mobile app or retention-focused businesses is highly desirable.
- Exposure to Firebase or similar mobile analytics platforms would be beneficial.
How to Apply
If you are a strategic CRM Consultant with Customer.io, Braze or Iterable expertise and a passion for using customer data to drive growth, please apply with your latest CV for consideration.
To Apply for this Job Click Here
Senior Product Analyst
City of London
£400 - £500
+ Advanced Analytics & Marketing Insights
ContractCity of London, London
To Apply for this Job Click Here
SENIOR PRODUCT ANALYST
£400-£500 PER DAY OUTSIDE IR35
REMOTE (MUST BE UK BASED)
3 MONTH CONTRACT
THE COMPANY
This business is undergoing a major shift in how it uses data, moving from strong reporting foundations to a more insight-led, strategic analytics function. With significant investment in growth and product, they are focused on better understanding member behaviour, engagement, and retention.
THE ROLE
As a Senior Product Analyst, you will take ownership of the product analytics workstream, partnering closely with Product, Engineering, and Commercial teams to shape product strategy through data. Rather than simply reporting on performance, you will be responsible for defining how success is measured, identifying opportunities for optimisation, and influencing the product roadmap through actionable insights.
Your responsibilities will include:
- Owning the end-to-end product analytics workstream, acting as the analytical lead across multiple product initiatives
- Leading experimentation programmes, from hypothesis creation and test design through to analysis, recommendations, and implementation
- Defining and evolving product KPIs and measurement frameworks to assess feature performance and user behaviour
- Analysing member engagement, conversion, retention, and transaction behaviour to identify opportunities for product improvement
- Partnering with Product Managers to influence product strategy and prioritisation through data-driven recommendations
- Translating complex analytical findings into clear, commercially focused insights for senior stakeholders
- Driving best practice in product measurement and helping to establish a mature experimentation culture across the business
YOUR SKILLS AND EXPERIENCE
- Proven experience leading product analytics within a digital product environment
- Strong expertise in experimentation, including A/B testing, hypothesis design, and statistical analysis
- Advanced SQL skills with experience working across the full analytics lifecycle
- Experience with dbt and modern BI tools such as Looker, Lightdash, or similar
- Strong understanding of product metrics, customer behaviour, engagement, and retention analysis
- Excellent stakeholder management skills with the ability to influence product and commercial decision-making
- Experience within digital, marketplace, subscription, or consumer-facing businesses is highly desirable
To Apply for this Job Click Here
Sr Software Architect
Miami
$28237.02 - $31766647641.19
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
The Role
We are looking for a Technical Architect to take joint ownership of two critical dimensions: shaping the architecture of our platform and providing hands-on technical leadership to our engineering team. You will be a key decision-maker in how we build, scale, and evolve our systems – balancing technical excellence with practical delivery.
You will work closely with engineering, AI/ML, and product teams, and you will have a direct impact on the technology roadmap of a fast-growing startup in a highly regulated and meaningful space.
Responsibilities
Systems Architecture
- Design and evolve the overall platform architecture – backend services, ML inference pipelines, and clinical integrations – ensuring scalability, security, and performance.
- Define and enforce architectural patterns, coding standards, and technology decisions with a long-term perspective.
- Evaluate and select technologies, frameworks, and tools, clearly articulating trade-offs to both technical and non-technical stakeholders.
- Ensure architecture decisions account for the regulatory requirements of the medical device space (MDR, FDA SaMD).
- Lead the technical design of integrations with hospital systems (PACS, HIS) using standards such as DICOM and HL7/FHIR.
- Own non-functional requirements: reliability, latency, data privacy (GDPR, HIPAA-aligned), and disaster recovery.
Technical Leadership
- Be the technical reference for the engineering team: code reviews, mentoring, and establishing engineering best practices.
- Collaborate with the AI/ML team on the productionisation of inference models and the optimization of the end-to-end ML pipeline.
- Contribute to sprint planning and technical estimation, helping the team break down complexity into deliverable increments.
- Proactively identify and mitigate technical risks, communicating them clearly before they become blockers.
- Foster an engineering culture centred on quality, automation, observability, and continuous improvement.
Requirements
Must-haves
- 5-8 years of software engineering experience, with at least 2-3 years in architecture or senior technical leadership roles.
- Proven experience designing and operating cloud-native systems on AWS (compute, storage, networking, managed services, IAM).
- Strong background in Python for production environments – APIs, data processing pipelines, and ML model integration.
- Solid understanding of containerisation (Docker) and orchestration in production environments.
- Deep knowledge of distributed systems design principles: microservices, event-driven architecture, API design, and data consistency patterns.
- Experience building CI/CD pipelines and driving DevOps practices across an engineering team.
- Ability to document and communicate architecture decisions clearly, both in writing and in technical discussions.
- Comfortable operating in a startup environment: autonomous, pragmatic, and able to balance ideal solutions with real constraints.
Nice-to-haves
- Experience deploying and optimising ML models in production – including ONNX Runtime or similar inference frameworks.
- Familiarity with medical imaging standards: DICOM, HL7, FHIR.
- Background in regulated environments (MDR, FDA 21 CFR Part 11, ISO 13485, or similar).
- Experience with MLOps practices: model versioning, drift monitoring, and retraining pipelines.
- Knowledge of PHP/Laravel or experience working with and evolving an existing codebase built on it.
- Prior experience in healthtech, medtech, or other highly regulated industries.
What We Offer
- Competitive salary aligned with your experience and the market.
- Hybrid model with real flexibility – we care about outcomes, not hours.
- Direct, visible impact: your work shapes tools that help clinicians make better diagnoses.
- Small, highly skilled team with strong technical autonomy.
- Annual budget for training, conferences, and certifications.
- Freedom to challenge the status quo and propose improvements to how we build things.
- A collaborative, mission-driven environment where engineering is taken seriously.
