QA Engineer
Manchester / £50000 - £60000 annum
INFO
SALARY:
£50000 - £60000
LOCATION
Manchester
Permanent
I'm hiring a Data QA Engineer to join a growing data function supporting a major Lakehouse and Databricks programme.
This is a fantastic opportunity for someone with experience testing data platforms, pipelines, and analytics products who wants to play a key role in defining quality standards across a modern data environment.
The role
This role sits at the heart of the data engineering function, working closely with Data Engineers, Analytics Engineers, and business stakeholders to ensure data products are robust, reliable, and production-ready.
Approximately 60% of the role focuses on testing, with the remaining time spent collaborating within the Databricks and PySpark environment, helping improve quality, processes, and delivery standards.
You'll be joining a team that needs someone capable of operating independently, taking ownership of testing activities, and helping define what great Data QA looks like.
What you'll be doing
- Test the Data Platform and associated data products
- Define and improve testing approaches, standards, and frameworks
- Perform functional, integration, regression, and data validation testing
- Work closely with Data and Analytics Engineers to identify issues early in the development lifecycle
- Log, manage, and track defects through to resolution
- Drive continuous improvement across testing practices and tooling
- Participate in development and collaboration activities within Databricks and PySpark environments
- Help establish quality standards across the wider data team
What they're looking for
Essential
- Databricks
- PySpark
- SQL
- Python
- Data platform or data pipeline testing experience
- Experience in a QA, Test Engineer, or Data QA role
- Strong communication and stakeholder management skills
- Ability to operate independently with minimal supervision
- Experience working in Agile environments
Desirable
- Test automation experience
- CI/CD pipeline exposure
- Azure Data Services experience
- Data quality validation and governance experience
Ideal background
This role would suit someone who has worked as a:
- Data QA Engineer
- Data QA Tester
- Databricks QA Engineer
- Databricks Tester
- Data Test Engineer
Consulting backgrounds could work particularly well, provided you've been hands-on with Databricks and data platform testing.
Why join?
- Remote-first working
- Genuine work-life balance
- Flexible-by-choice culture
- 35-hour working week
- Opportunity to shape testing standards across a growing Lakehouse programme
- Strong engineering and analytics environment
- High levels of ownership and autonomy
Locations
Remote-first, with office hubs available in:
- London
- Manchester
- Leeds
- Bristol
- Sheffield
- Cardiff
Interview process
Stage 1
- Interview with two team leads
- Technical testing assessment
Stage 2
- Final interview with the Hiring Manager
- Behavioural and competency-based discussion
CONTACT
Kelsey Norris
Recruitment Consultant
SIMILAR
JOB RESULTS
Chief AI Scientist
London
£200000 - £250000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Chief AI Scientist
Remote UK
The Company
They are a globally recognised, mission-led organisation applying cutting-edge artificial intelligence to advance scientific understanding and unlock new insights from complex biological and behavioural data. Their work brings together experts across machine learning, natural sciences, and research engineering to tackle ambitious, high-impact challenges. Supported by leading research partnerships and a strong long-term vision, they are building an environment where scientific excellence, innovation, and collaboration can thrive. As they continue to scale their research function, they are seeking a Chief Scientist to provide strategic leadership across the organisation.
The Role
You will provide executive-level scientific leadership while overseeing a multidisciplinary research organisation.
Key responsibilities include:
- Defining and delivering a multi-year scientific strategy aligned with organisational goals
- Leading and developing senior research leaders across AI, scientific research, and research infrastructure functions
- Ensuring scientific excellence, rigour, reproducibility, and high research standards across all programmes
- Driving collaboration between AI researchers and domain experts to maximise research impact
- Shaping organisational structure, workforce planning, and recruitment strategy for research teams
- Serving as a trusted member of the executive leadership team and contributing to broader business strategy
- Managing research budgets and resource allocation to ensure effective delivery against priorities
Your Skills & Experience
- PhD in Machine Learning, Computer Science, Electrical Engineering, Computational Biology, or a related quantitative discipline
- Deep expertise in AI research, large-scale machine learning implementation, or a combination of both
- Proven experience leading high-performing research or AI organisations
- Strong understanding of foundation models, large-scale training infrastructure, and modern AI systems
- Ability to evaluate research quality and guide technical strategy across multiple research domains
- Exceptional stakeholder management and executive communication skills
- Experience working across academic and commercial research environments is highly desirable
- Exposure to scientific research applications, bioacoustics, computer vision, speech, audio, natural sciences, or related fields would be advantageous
What They Offer
- Competitive salary package
- Comprehensive benefits
- Executive leadership position with significant organisational influence
- Opportunity to shape the future direction of a pioneering AI research organisation
- Access to world-class researchers, collaborators, and scientific partners
- Significant scope to build teams, define strategy, and drive innovation
- Flexible and collaborative working environment
- Long-term career impact through leadership of globally relevant scientific research
How to Apply
If you are an accomplished AI research leader looking to combine scientific excellence with meaningful impact, apply today to learn more about this Chief Scientist opportunity.
To Apply for this Job Click Here
Data Scientist, Sales Operations (Contract)
San Francisco
$80 - $90
+ Data Science & AI
ContractSan Francisco, California
To Apply for this Job Click Here
Data Scientist, Sales Operations (Contract)
Harnham, the leading recruitment specialist in Data and AI, is currently partnering with an operator-led AI consultancy focused on helping B2B software companies build agentic GTM and revenue operations solutions. The business works closely with clients to design, validate, and scale AI-driven territory, quota, and sales optimization models, combining deep Sales Operations expertise with advanced Data Science and AI capabilities.
- Role: Data Scientist, Sales Operations (Contract)
- Location: San Francisco ( Hybrid 2-3x per week)
- Pay: $80 – $95 per hour W2 (some flex if you have your own LLC)
- Length: Extendable 3-month initial contract
- Utilization: 40 hr/week
- Benefits: Full Benefits
As a Data Scientist, you will support a strategic AI consulting engagement focused on transforming sales planning and GTM operations through predictive analytics and AI. You will work directly with territory operations, sales leadership, and revenue operations teams to build and validate predictive territory and quota models using historical sales performance data. This work will establish the foundation for future agentic AI solutions designed to optimize revenue performance at scale.
Key Responsibilities:
- Partner with territory operations and sales leadership stakeholders to understand existing methodologies and business processes.
- Analyze historical sales, quota, attainment, and territory data to identify patterns and optimization opportunities.
- Clean, manipulate, validate, and prepare large datasets for predictive modeling initiatives.
- Build predictive territory and quota models using machine learning and statistical techniques.
- Test and validate models against historical sales performance and attainment data.
- Advise clients on GTM optimization, territory design, quota planning, and AI-driven decision-making best practices.
- Document methodologies, recommendations, and frameworks to enable future internal adoption and future AI agent development.
Requirements:
- Strong experience with Python and machine learning model development.
- Proven experience building predictive models using sales, territory, quota, attainment, or commercial performance data.
- Deep understanding of Sales Operations, Revenue Operations, GTM Analytics, or Commercial Strategy functions.
- Ability to communicate sophisticated analytical concepts to non-technical and executive audiences.
- Experience with Salesforce and GTM systems is preferred.
- Experience building agentic AI, automation, or AI-driven solutions is highly desirable.
Next Steps:
If interested in this opportunity, please apply below or contact Ciarán to learn more
To Apply for this Job Click Here
Data Scientist – Sales Operations and GTM
Chicago
$100 - $110
+ Advanced Analytics & Marketing Insights
ContractChicago, Illinois
To Apply for this Job Click Here
Data Scientist – Sales Operations (Contract)
Location: Remote (US Based)
Contract Length: 3 Months Initial Contract
Rate: Up to $110 per hour
Travel: 2 x 2-3 day trips to San Francisco during the project
The Opportunity
We’re partnering with an innovative B2B SaaS organisation seeking a Data Scientist with strong Sales Operations and GTM Analytics expertise to support a high-impact territory planning and quota optimisation initiative.
This is a hands-on contract role focused on developing predictive models that support territory design, quota allocation, and attainment forecasting. The successful consultant will work closely with business stakeholders to create data-driven frameworks that influence strategic sales planning decisions.
This engagement is centred around proof-of-concept and modelling work rather than production deployment, making it an excellent opportunity for someone who enjoys solving complex business problems using real-world commercial data.
Key Responsibilities
- Develop attainment models that connect territory composition factors such as account volume, TAM, pipeline, industry mix, geographic distribution, and opportunity potential to historical sales performance.
- Build predictive quota allocation models that align sales targets with financial plans and historical attainment data.
- Design and validate territory optimisation methodologies for both Sales and Customer Success organisations.
- Analyse and model large exported datasets using statistical and data science techniques.
- Validate model outputs against historical business performance and stakeholder expectations.
- Partner with business leaders to refine assumptions, test hypotheses, and present recommendations.
- Document methodologies, assumptions, and modelling approaches to ensure knowledge transfer and future scalability.
- Present findings and recommendations to senior stakeholders and support decision-making processes.
Required Experience
- Strong background in SaaS Sales Operations, Revenue Operations, GTM Analytics, or Commercial Strategy.
- Proven experience working with territory planning, quota setting, sales performance, or attainment analysis.
- Hands-on data science experience applying statistical modelling techniques to complex business datasets.
- Experience working with imperfect, real-world commercial data rather than purely academic or benchmark datasets.
- Strong stakeholder management and client-facing communication skills.
- Ability to operate effectively in fast-moving environments with evolving requirements.
- Excellent written documentation and presentation skills.
Technical Skills
- Strong SQL and Python (or R) experience.
- Advanced Excel and Google Sheets capabilities.
- Experience building predictive models and applying statistical techniques to business problems.
- Ability to work directly with exported data sources and spreadsheets rather than fully integrated data warehouse environments.
- Familiarity with model validation, forecasting, and business performance analysis.
Nice to Have
- Experience with territory design, quota planning, or sales compensation programmes.
- Knowledge of Salesforce data models and CRM reporting structures.
- Exposure to rules-based, AI-driven, or agentic modelling approaches.
- Experience working with Customer Success operational datasets.
Contract Details
- Initial 3-month contract.
- Fully remote engagement.
- Up to $110/hour.
- Two short business trips to San Francisco (2-3 days each) during the engagement.
- Potential for extension based on project requirements and performance.
To Apply for this Job Click Here
QA Engineer
Manchester
£50000 - £60000
+ Data Management & Governance
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
I’m hiring a Data QA Engineer to join a growing data function supporting a major Lakehouse and Databricks programme.
This is a fantastic opportunity for someone with experience testing data platforms, pipelines, and analytics products who wants to play a key role in defining quality standards across a modern data environment.
The role
This role sits at the heart of the data engineering function, working closely with Data Engineers, Analytics Engineers, and business stakeholders to ensure data products are robust, reliable, and production-ready.
Approximately 60% of the role focuses on testing, with the remaining time spent collaborating within the Databricks and PySpark environment, helping improve quality, processes, and delivery standards.
You’ll be joining a team that needs someone capable of operating independently, taking ownership of testing activities, and helping define what great Data QA looks like.
What you’ll be doing
- Test the Data Platform and associated data products
- Define and improve testing approaches, standards, and frameworks
- Perform functional, integration, regression, and data validation testing
- Work closely with Data and Analytics Engineers to identify issues early in the development lifecycle
- Log, manage, and track defects through to resolution
- Drive continuous improvement across testing practices and tooling
- Participate in development and collaboration activities within Databricks and PySpark environments
- Help establish quality standards across the wider data team
What they’re looking for
Essential
- Databricks
- PySpark
- SQL
- Python
- Data platform or data pipeline testing experience
- Experience in a QA, Test Engineer, or Data QA role
- Strong communication and stakeholder management skills
- Ability to operate independently with minimal supervision
- Experience working in Agile environments
Desirable
- Test automation experience
- CI/CD pipeline exposure
- Azure Data Services experience
- Data quality validation and governance experience
Ideal background
This role would suit someone who has worked as a:
- Data QA Engineer
- Data QA Tester
- Databricks QA Engineer
- Databricks Tester
- Data Test Engineer
Consulting backgrounds could work particularly well, provided you’ve been hands-on with Databricks and data platform testing.
Why join?
- Remote-first working
- Genuine work-life balance
- Flexible-by-choice culture
- 35-hour working week
- Opportunity to shape testing standards across a growing Lakehouse programme
- Strong engineering and analytics environment
- High levels of ownership and autonomy
Locations
Remote-first, with office hubs available in:
- London
- Manchester
- Leeds
- Bristol
- Sheffield
- Cardiff
Interview process
Stage 1
- Interview with two team leads
- Technical testing assessment
Stage 2
- Final interview with the Hiring Manager
- Behavioural and competency-based discussion
To Apply for this Job Click Here
Credit Operations Analyst
London
£50000 - £70000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Credit Operations Analyst
London
£50,000 to £70,000
This is an opportunity to join a growing, data-led financial services business where you will directly influence how credit decisions are made at scale. The role offers strong exposure across credit, data, and product, with a clear focus on automation and impact.
The Company
They are a fast-growing, technology-driven financial services organisation focused on improving how consumers manage their finances. The business takes a data-first approach, using modern tools and customer insights to inform decision-making. With continued growth and investment in their data capabilities, they are building out a high-performing analytics and credit function.
The Role
You will work at the intersection of credit risk, data, and decisioning, helping to improve and automate lending processes.
- Develop and enhance automated credit decisioning and underwriting logic
- Analyse lending performance and identify opportunities to improve accuracy and efficiency
- Collaborate with product, engineering, and credit teams to reduce manual processes
- Use customer and transactional data to inform lending decisions
- Support improvements in affordability assessment and decision frameworks
- Contribute to building a scalable, data-driven credit operation
Your Skills & Experience
- Strong commercial experience in credit risk within a lending environment
- Experience working on underwriting, decisioning, or credit policy using data
- Strong SQL skills for data analysis and manipulation
- Ability to translate data insights into practical lending decisions
- Solid understanding of how credit decisions are made
- Exposure to affordability assessment or open banking data is beneficial
What They Offer
- Salary between £50,000 and £70,000
- Share options
- Private medical insurance
- Statutory pension
- Opportunity to join a growing business with strong career development potential
To Apply for this Job Click Here
Pricing Manager – Insurance
London
£65000 - £70000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Pricing Manager – Insurance
London
£65,000 to £70,000 + bonus and benefits
This is a high-impact opportunity to take ownership of pricing decisions within a growing personal lines environment. The role offers a strong balance of leadership and hands-on analytical work, with a clear focus on commercial impact rather than pure modelling. You will play a key role in shaping pricing strategy and responding to market trends in a data-driven way.
The Company
They are an established UK insurer with a strong and growing customer base, continuing to invest in pricing, data, and analytics capabilities. Their pricing function plays a central role in business decision-making, working closely with actuarial, underwriting, and data teams. The environment encourages curiosity, collaboration, and the use of new data to challenge existing approaches.
The Role
- Lead and develop a small team of analysts, providing guidance and prioritising workload
- Translate model outputs into clear, commercially actionable pricing decisions
- Analyse claims, policy, and market data to identify pricing opportunities
- Enhance existing pricing models by integrating new datasets and improving performance
- Work cross-functionally with actuarial, data science, and underwriting teams
- Identify market trends and ensure pricing strategies remain competitive and profitable
- Support the delivery and execution of pricing strategy
Your Skills and Experience
- Strong commercial experience within pricing, analytics, or a related discipline
- Ability to interpret data and translate insights into clear business actions
- Experience working with or assessing pricing or risk models
- Exposure to personal lines insurance is beneficial, but strong analytical backgrounds from adjacent sectors are also considered
- Working knowledge of Python or R, with SQL as a useful addition
- Interest in leadership, with experience mentoring or managing others or a clear motivation to do so
- Strong stakeholder communication and influencing skills
What They Offer
- Salary up to £70,000, with some flexibility for exceptional candidates
- Performance-related bonus and a comprehensive benefits package
- Hybrid working model with approximately one day per week in the office
- Private medical cover, pension contribution, life assurance, and wellbeing support
- Clear progression opportunities within a growing pricing and analytics function
To Apply for this Job Click Here
Head of Analytics (FS)
London
£90000 - £150000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Head of Analytics (FS)
London (on-site 3 days per week)
£90,000 to £150,000 – dependent on level
This is a senior leadership role at the centre of an organisation-wide shift towards insight-led decision-making and AI-enabled analytics. You will shape how analytics operates as a shared service, influencing strategy while remaining hands-on.
The Company
They are a data-driven organisation undergoing significant transformation across analytics, reporting, and decisioning. With a strong commercial focus, they are investing in modern data platforms, automation, and AI to improve how insight is generated and used. Analytics plays a critical role in supporting growth and executive decision-making.
The Role
- Lead a centralised Analytics and MI function operating as a shared service
- Balance strategic leadership with hands-on analytics delivery
- Move the function from reporting to actionable, commercial insight
- Embed AI tools and automation into analytics workflows
- Oversee scalable data, reporting, and governance foundations
- Line manage decisioning capability and oversee platform migration
- Influence senior stakeholders across Finance, Marketing, and leadership teams
Your Skills and Experience
- Strong leadership experience within analytics or MI functions
- Proven ability to turn data into clear commercial recommendations
- Confidence influencing senior stakeholders, including C-suite
- Hands-on capability with SQL and ideally Python
- Experience with modern data stacks and BI tools
- Practical exposure to AI tools within analytics environments
What They Offer
- Salary of £90,000 to £150,000
- Bonus
- Private health insurance
- Pension scheme
- 25 days holiday
- High visibility role with significant influence and progression
To Apply for this Job Click Here
Principal Data Architect
Phoenix
$90 - $105
+ Data Engineering
ContractPhoenix, Arizona
To Apply for this Job Click Here
Principal Data Architect
Remote (Client is in Mountain Time) | 6 Month contract | Extendable | NO THIRD PARTIES OR AGENCIES
A major retail organization is seeking a Principal Data Architect to help shape the future of its cloud data platform. This is a high-impact opportunity to lead the design and implementation of modern Lakehouse and data warehouse solutions that support enterprise analytics, AI/ML initiatives, and business-critical decision making.
You’ll work closely with business leaders, engineering teams, and data stakeholders to define architecture standards, drive platform strategy, and build scalable solutions across modern cloud environments.
What You’ll Do
- Lead the architecture and implementation of enterprise Lakehouse and cloud data warehouse solutions
- Design scalable, secure, and high-performing data platforms across AWS, Azure, and/or GCP
- Partner with stakeholders to translate business requirements into technical solutions
- Establish data governance, quality, and security best practices
- Define reusable frameworks, accelerators, and architecture standards
- Guide and mentor data engineering teams throughout delivery
- Drive automation, orchestration, and CI/CD best practices
- Support analytics and AI/ML initiatives through modern data platform design
- Present architectural recommendations and solution strategies to executive stakeholders
What We’re Looking For
- 7+ years of experience in data architecture, data engineering, or analytics engineering
- Deep expertise designing modern Lakehouse and cloud data platforms
- Strong experience with Databricks, Spark, and distributed data processing
- Hands-on experience with AWS, Azure, or GCP (multiple cloud environments preferred)
- Strong understanding of data modeling, governance, security, and data quality frameworks
- Experience with Terraform, Git, CI/CD, and infrastructure automation
- Strong communication, leadership, and stakeholder management skills
Preferred Experience
- Databricks certification and/or cloud certifications
- Experience with Delta Lake, Iceberg, Hudi, and modern Lakehouse architectures
- Experience with Delta Live Tables, dbt, and real-time data pipelines
- Understanding of MLOps and AI/ML platform enablement
- Experience leading enterprise-scale modernization initiatives
To Apply for this Job Click Here
Senior Cloud Data Engineer
Jersey City
$70 - $85
+ Data Engineering
ContractJersey City, New Jersey
To Apply for this Job Click Here
Senior Cloud Data Engineer
2 Days Onsite, 3 Remote | 6-month Contract | NO AGENCIES OR THIRD PARTIES
Are you an experienced Data Engineer who enjoys building modern cloud data platforms at scale?
Our client (media & streaming) is seeking a Senior Cloud Data Engineer to help design, optimize, and expand enterprise data solutions that power analytics, reporting, and strategic business initiatives. This is an opportunity to work with modern technologies including AWS, Databricks, BigQuery, and Terraform while solving complex data challenges in a highly collaborative environment.
What You’ll Do
- Design and develop scalable data pipelines within AWS and Databricks environments
- Build and maintain data models, transformation logic, and enterprise datasets
- Optimize data workflows for performance, reliability, and cost efficiency
- Automate infrastructure and deployment processes using Terraform and CI/CD practices
- Partner with analysts, data scientists, and business stakeholders to deliver trusted data solutions
- Ensure data quality, governance, and security across the data ecosystem
- Support and enhance cloud-based data infrastructure and platform operations
What We’re Looking For
- 7+ years of Data Engineering experience
- Strong expertise with AWS cloud technologies
- Experience with Databricks, BigQuery, Dataflow, and Airflow
- Advanced SQL and Python skills
- Deep understanding of data warehousing, data lakes, and ETL/ELT best practices
- Experience with Terraform and infrastructure automation
- Strong communication and problem-solving abilities
Nice to Have
- Experience with dbt, Tableau, Looker, Power BI, or similar analytics tools
- Experience working at media or streaming companies
To Apply for this Job Click Here
Data Scientist (Private Equity Value Creation)
New York
$80 - $120
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
Data Scientist (Private Equity Value Creation)
Harnham, the leading recruitment specialist in Data and AI, is currently partnering with a PE-backed mid-market consulting and value creation business that helps portfolio companies unlock value through data, analytics, AI, and operational transformation initiatives. The team works directly with executive stakeholders to identify opportunities, implement modern data solutions, and deliver measurable business impact across a diverse client portfolio.
- Role: Data Scientist
- Location: Remote (Preference for candidates based near New York or Atlanta)
- Pay: $80 – $120 per hour
- Length: 3 – 6 month initial contract
- Utilization: 40 hr/week
- Benefits: 401k, Medical, Vision etc
As a Data Scientist, you will join a high-performing “Rapid Squad” focused on helping private equity-backed businesses accelerate value creation through data and AI. Working within small teams of 2-3 consultants, you will support end-to-end delivery from due diligence and opportunity identification through to the implementation of advanced analytics, machine learning, and modern data platforms.
You will partner directly with client executives, including CFOs, CROs, IT leaders, and business stakeholders, to assess technology landscapes, identify opportunities for improvement, and build solutions that drive operational and financial outcomes.
Key Responsibilities:
- Work directly with CFOs, CROs, and technology leaders to identify opportunities across areas such as forecasting, AP/AR optimization, and operational performance.
- Design, build, and deploy advanced analytics and machine learning solutions.
- Collaborate within small, cross-functional implementation teams delivering end-to-end data and analytics projects.
- Support the implementation of modern data platforms and analytics solutions using Snowflake, Databricks, and Power BI.
- Evaluate existing data architectures and recommend scalable data science and data engineering solutions.
- Translate complex business problems into actionable analytical frameworks and measurable outcomes.
- Contribute to engagements across manufacturing, retail, and healthcare clients.
Requirements:
- Hands-on experience with forecasting and predictive analytics use cases.
- Deep understanding of modern data platforms, including Snowflake and Databricks.
- Experience working with data visualization and reporting tools such as Power BI.
- Experience designing and evaluating experiments and statistical testing frameworks.
- Exposure to Generative AI and Large Language Models (LLMs).
- Previous experience supporting consulting, private equity, value creation, transformation, or portfolio operations initiatives is highly desirable.
- Former FP&A, strategy, or business analytics experience is considered a strong advantage.
Next Actions
If interested in this position or in exploring contract/consulting opportunities within the Data Science world, please feel free to reach out and contact Ciarán at Harnham
To Apply for this Job Click Here
Senior Data Engineer
Boston
$75 - $90
+ Data Engineering
ContractBoston, Massachusetts
To Apply for this Job Click Here
Senior Data Engineer – Snowflake
Remote (EST Preferred) | 9-Month Contract | $75-$90/hr | High Extension Potential | NO THIRD PARTIES OR AGENCIES
Are you passionate about building modern data platforms that power real-world impact?
A growing healthcare technology organization is seeking a Senior Data Engineer to help scale its data ecosystem and enable better insights, reporting, and decision-making across the business.
In this role, you’ll design high-performance data pipelines, improve data quality, and build scalable solutions that support both operational and analytical initiatives.
What You’ll Do
- Develop and maintain scalable batch and streaming data pipelines
- Build robust data models and data infrastructure that support analytics and reporting
- Improve data quality through automated validation, testing, and monitoring frameworks
- Design and support APIs, data services, and integration solutions
- Optimize performance, reliability, and scalability across cloud-based environments
- Partner with Product, Engineering, Analytics, and Operations teams to deliver impactful data solutions
- Contribute to data architecture, governance, and long-term platform strategy
What We’re Looking For
- 5+ years of Data Engineering experience
- Strong SQL and Python development skills
- Experience building production-grade ETL/ELT pipelines
- Hands-on expertise with technologies such as Snowflake, dbt, Kafka, PostgreSQL, MongoDB, or similar tools
- Experience working within AWS or another cloud environment
- Strong understanding of data modeling, APIs, and scalable architecture
- Excellent communication and cross-functional collaboration skills
Nice to Have
- Data observability, lineage, or cataloging experience
- Experience in healthcare, highly regulated industries, or governance-focused environments
- Exposure to data product development or domain-driven data practices
Why Apply?
- Fully remote opportunity
- High-impact project within a growing healthcare technology organization
- Long-term engagement with strong extension potential
- Opportunity to influence data architecture and platform strategy
If you’re looking to build modern data solutions that directly support business growth and innovation, we’d love to hear from you.
To Apply for this Job Click Here
Product Analyst (Contract)
London
£500 - £500
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
Product Analyst (Contract)
London-based
£500 per day outside (IR35)
3-Month Contract
Hybrid, Remote
This is an opportunity to join a data-driven organisation at a pivotal stage of growth, where analytics plays a central role in shaping product strategy. You will work closely with product, engineering and commercial teams, using insight, experimentation and measurement to influence decisions and improve user outcomes.
The Company
They are a digitally native organisation with data embedded in everyday decision-making. An established analytics function works in close partnership with teams across the business to enhance user and partner experiences. The organisation continues to invest in modern analytics capabilities, experimentation practices and scalable data infrastructure. Collaboration, transparency and continuous learning are central to their culture.
The Role and Deliverables
- Partner with product and business stakeholders to analyse user behaviour, identify pain points and uncover opportunities through quantitative analysis.
- Design and support experiments, develop hypotheses and help evaluate the impact of product initiatives.
- Define, document and align key business and product metrics, ensuring robust and reliable measurement frameworks.
- Collaborate with engineering teams to maintain high-quality data foundations and consistent reporting standards.
- Build and maintain dashboards and self-service analytics tools that support data-informed decision-making.
- Deliver in-depth analysis and actionable recommendations to guide product strategy and business performance.
Your Skills & Experience
- Strong experience applying analytics within a product-focused or digitally native environment.
- Proficiency in SQL and experience using Python or R for analysis.
- Familiarity with modern BI, analytics and visualisation platforms.
- Ability to translate complex business questions into structured analytical approaches and clear recommendations.
- Strong data storytelling and stakeholder management skills, with confidence presenting insights to a range of audiences.
- Curious, proactive and detail-oriented, with a strong interest in understanding user behaviour.
- Comfortable working independently while collaborating effectively with cross-functional teams.
How to Apply
Register your interest by sending your CV to Ananya Gupta via the Apply Link on this page.
To Apply for this Job Click Here
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