Senior Behavioural Scientist
London / £80000 - £95000 annum
INFO
£80000 - £95000
LOCATION
London
Permanent
Senior Behavioural Scientist
London, hybrid 2 days per week in office.
Salary between £80,000 to £95,000 plus bonus and equity.
This is a unique opportunity to join a fast‑growing health data organisation building cutting‑edge behavioural science products at scale. You will work on complex behavioural datasets, shape R&D initiatives, and help define how millions of healthcare decisions are understood through data.
The Company
They are a mission‑driven health data and analytics organisation combining behavioural science, data science, engineering, and research. They develop data‑powered products that reveal the drivers behind human health behaviour. Their work spans behavioural modelling, large‑scale health datasets, and the creation of innovative tools that support healthcare organisations in making more informed, personalised decisions.
The Role
- Lead behavioural thinking across a core data product focused on understanding the drivers of healthcare behaviour.
- Design and deliver end‑to‑end data collection, including surveys and other methodologies.
- Analyse large behavioural datasets to extract insights, develop behavioural profiles, and support model development.
- Identify and assess new data sources to improve behavioural signal coverage.
- Collaborate with data scientists, engineers, and product teams to shape product direction.
- Contribute to R&D work on large‑scale US datasets, developing behavioural frameworks to support product development.
- Support client‑facing teams with behavioural insight where required.
Your Skills and Experience
- PhD in a behavioural science‑aligned field with strong grounding in human behaviour, behavioural modelling, or behavioural data analysis.
- Strong experience working with behavioural, survey, or digital signal data.
- Comfortable using Python or R for analysis
- Able to translate behavioural theory into applied, scalable data products.
- Creative thinker with a builder mindset; able to take ownership and work in an environment with ambiguity.
- Must have experience with Databricks.
- Experience in healthcare, consumer behaviour, or any domain capturing human decision‑making is beneficial.
What They Offer
- £80,000 to £95,000 base salary.
- Bonus and equity.
- 6 percent employer pension contribution.
- Flexible hybrid working
- Strong culture of collaboration, impact‑driven work, and professional growth.
How to Apply
If you are interested in this Senior Behavioural Scientist position, please apply with your CV or email for more information.
CONTACT
Madison Barlow
Recruitment Executive
SIMILAR
JOB RESULTS
Senior Behavioural Scientist
London
£80000 - £95000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Behavioural Scientist
London, hybrid 2 days per week in office.
Salary between £80,000 to £95,000 plus bonus and equity.
This is a unique opportunity to join a fast‑growing health data organisation building cutting‑edge behavioural science products at scale. You will work on complex behavioural datasets, shape R&D initiatives, and help define how millions of healthcare decisions are understood through data.
The Company
They are a mission‑driven health data and analytics organisation combining behavioural science, data science, engineering, and research. They develop data‑powered products that reveal the drivers behind human health behaviour. Their work spans behavioural modelling, large‑scale health datasets, and the creation of innovative tools that support healthcare organisations in making more informed, personalised decisions.
The Role
- Lead behavioural thinking across a core data product focused on understanding the drivers of healthcare behaviour.
- Design and deliver end‑to‑end data collection, including surveys and other methodologies.
- Analyse large behavioural datasets to extract insights, develop behavioural profiles, and support model development.
- Identify and assess new data sources to improve behavioural signal coverage.
- Collaborate with data scientists, engineers, and product teams to shape product direction.
- Contribute to R&D work on large‑scale US datasets, developing behavioural frameworks to support product development.
- Support client‑facing teams with behavioural insight where required.
Your Skills and Experience
- PhD in a behavioural science‑aligned field with strong grounding in human behaviour, behavioural modelling, or behavioural data analysis.
- Strong experience working with behavioural, survey, or digital signal data.
- Comfortable using Python or R for analysis
- Able to translate behavioural theory into applied, scalable data products.
- Creative thinker with a builder mindset; able to take ownership and work in an environment with ambiguity.
- Must have experience with Databricks.
- Experience in healthcare, consumer behaviour, or any domain capturing human decision‑making is beneficial.
What They Offer
- £80,000 to £95,000 base salary.
- Bonus and equity.
- 6 percent employer pension contribution.
- Flexible hybrid working
- Strong culture of collaboration, impact‑driven work, and professional growth.
How to Apply
If you are interested in this Senior Behavioural Scientist position, please apply with your CV or email for more information.
To Apply for this Job Click Here
Data Quality Analyst
Coventry
£450 - £500
+ Data Management & Governance
ContractCoventry, West Midlands
To Apply for this Job Click Here
Location: Coventry – 2-3 days per week
Contract: 6 months
IR35: Inside
Rate: £450-500per day
Start: 5th May
Overview
We’re supporting a business that has recently completed a review of its data landscape and identified data quality as a key gap. Ownership of data quality is currently unclear, with inconsistent processes and limited tooling in place.
You will take ownership of data quality across the organisation, working closely with business and technical teams to profile data, identify issues, and implement scalable quality processes.
Key Responsibilities
- Engage stakeholders across the business to gather data quality requirements
- Assess current data quality issues and define profiling and remediation activities
- Profile datasets to identify inconsistencies, errors, and gaps
- Work with teams to understand data usage and define quality rules and standards
- Implement data quality processes and governance frameworks
- Collaborate with Data Governance, Data Product, Platform, and Engineering teams
- Support the evaluation and potential implementation of data quality tooling
- Develop reporting and monitoring to track data quality improvements
Experience Required
- Strong experience in data quality, data governance, or data management roles
- Hands-on experience with data profiling and defining data quality rules
- Experience working with data quality tools (e.g. Precisely, Informatica or similar)
- Strong Excel skills; exposure to BI tools such as Power BI, Tableau, or Qlik
- Good understanding of data warehouses and data ecosystems
- Proven experience working in corporate environments with multiple stakeholders
- Strong communication skills and ability to work across technical and non-technical teams
- Demonstrated experience driving process improvements or change initiatives
Nice to Have
- Experience with Precisely (DQ+)
- Experience supporting tool selection or implementation processes
To Apply for this Job Click Here
Senior Data Scientist
London
£60000 - £75000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Data Scientist
London, hybrid, one day a week on site.
£60,000 to £75,000 plus £5,000 cash allowance
This is an exciting opportunity to join a high‑performing data science function that is known in the market for its innovation, scale, and technical depth. You will be part of a specialist team building novel pricing models, exploring alternative data sources, and shaping the next generation of machine learning capability within a growing challenger product area.
The Company
They are a major UK digital insurer with a strong reputation for data‑driven decision making. With millions of customers and significant recent investment in pricing, modelling, and analytics, they operate one of the most advanced data science environments in the industry. The business continues to scale rapidly, backed by strong financial performance and a culture that values curiosity, experimentation, and continuous improvement.
The Role
- Build predictive models to improve pricing, customer selection, and risk understanding across car and van insurance.
- Explore and engineer novel data sources to create innovative rating factors and alternative pricing strategies.
- Develop footprint and geospatial modelling approaches, as well as residual modelling to compare expected versus actual claims outcomes.
- Work with large, messy data sets to uncover complex patterns and drive commercially meaningful insights.
- Mentor junior colleagues.
Your Skills and Experience
- Strong commercial experience building predictive models in Python and SQL.
- Confident working with large, complex, or messy datasets.
- Experience applying machine learning techniques such as gradient‑boosted models, with exposure to tools like XGBoost or CatBoost.
- Ability to form structured analytical approaches, make sensible assumptions, and communicate your reasoning clearly.
- Comfortable mentoring others and contributing to a cooperative team environment.
What They Offer
- Salary between £60,000 and £75,000.
- £5,000 cash allowance.
- Hybrid working with one day a week in the office.
- Excellent progression opportunities within a high‑growth, high‑visibility team.
- A comprehensive benefits package.
How to Apply
If you are interested in this Senior Data Scientist position, please apply with your CV below or email me at
To Apply for this Job Click Here
Data Quality Analyst
Coventry
£450 - £500
+ Data Management & Governance
ContractCoventry, West Midlands
To Apply for this Job Click Here
DATA QUALITY ANALYST
£450 – £500 PER DAY INSIDE IR35
2-3 DAYS IN THE OFFICE (COVENTRY)
6 MONTH CONTRACT
THE COMPANY:
Our client is looking for a Data Quality Analyst to come in and define how the business engages with data, establish quality standards, and build a framework that improves accuracy, consistency, and confidence in reporting.
THE ROLE:
As a Data Quality Analyst, you will take ownership of scoping, defining, and implementing data quality practices across the business.
Initially, your focus will be on data discovery and profiling, working closely with stakeholders to understand existing datasets, identify issues, and define what “good” looks like from a data quality perspective. You will then move into building data quality rules, processes, and reporting, helping the business reduce errors and improve trust in its data.
Key responsibilities include:
- Profiling and assessing data quality across key datasets
- Identifying inconsistencies, duplicates, and data issues
- Working closely with business stakeholders to define data quality standards
- Translating requirements into structured data quality rules
- Managing and monitoring data quality issues and resolutions
- Creating reports to track data quality metrics and improvements
- Recommending and evaluating data quality tooling (e.g. Precisely DQ+)
- Collaborating closely with Data Product and Data Platform teams
YOUR SKILLS AND EXPERINECE:
Essential:
- Proven experience in a data quality specific role
- Strong experience with data profiling and identifying data issues
- Advanced Excel skills and experience working with large datasets
- Experience working with BI tools (Power BI, Tableau, or Qlik)
- Strong stakeholder management and ability to work with non-technical teams
- Good understanding of databases and data warehousing concepts
Desirable:
- Experience with data quality tools (e.g. Precisely DQ+)
- Experience recommending or implementing data quality tooling
- Experience working in a corporate environment
Soft skills:
- Strong communication and stakeholder engagement skills
- High attention to detail and analytical mindset
- Ability to adapt to different ways of working in an Agile environment
- Collaborative team player
HOW TO APPLY:
Please register your interest by sending your CV to Mojola Coker via the apply link on this page.
To Apply for this Job Click Here
Fraud Manager – Business Development
London
£50000 - £65000
+ Risk Analytics
PermanentEngland
To Apply for this Job Click Here
Fraud and ID Business Development Manager
Remote with travel to client hubs.
£60,000 plus comission
This is an opportunity to step into a high-impact role where your fraud and identity expertise directly shapes client solutions. You will work with well-established customers as well as new prospects, helping them solve complex Fraud and ID challenges through market-leading products and partnerships.
The Company
They are a data-driven organisation operating at scale, supporting businesses across the UK with decisioning, insight, identity verification, and risk management solutions. Their work helps clients make more informed choices, reduce fraud losses, and deliver seamless experiences to their customers. With strong investment in innovation and a collaborative commercial team, they offer a platform where subject matter experts can genuinely influence outcomes.
The Role
You will
* Develop and convert new business opportunities within the Fraud and ID space.
* Build strong relationships with clients, acting as a trusted subject matter expert.
* Provide market insight and keep customers informed of emerging fraud trends and solution innovation.
* Present, position, and sell Fraud and ID products, including identity verification, fraud alerts, and third-party resell solutions.
* Manage the full sales cycle from discovery to negotiation and closing.
* Collaborate closely with solution consultants and product specialists to ensure clients receive the right solutions for their needs.
Your Skills and Experience
* Strong commercial experience in business development or sales within Fraud, ID, financial services, technology, or a related vendor environment.
* Solid understanding of Fraud and ID concepts, tools, and market challenges.
* The ability to translate client pain points into solution recommendations.
* Confidence presenting to senior stakeholders and influencing decisions.
* Strong communication skills and a consultative approach.
* Experience working directly with clients in a commercially focused role.
What They Offer
* Salary up to 60,000 plus car allowance.
* Strong comission structure
* Remote working with fully expensed travel.
* Opportunities to progress into broader commercial, product, or consultancy paths.
* A supportive environment with exposure to high-value clients and strategic projects.
To Apply for this Job Click Here
Head of Analytics
London
£90000 - £160000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Head of Analytics
£90,000-£160,000 + bonus + benefits
(Dependant on seniority)
London (on-site)
Harnham are working with a UK consumer financial services provider undergoing a major transformation in analytics, AI, and decisioning.
THE COMPANY
This organisation is a fast‑moving, data rich consumer finance business investing heavily in modern analytics, AI adoption, and decisioning infrastructure. With strong executive backing, the company is building a centralised analytics capability to drive smarter, faster, insight‑led decision-making across the business. This is a high visibility role with genuine opportunity to shape the future of analytics.
THE ROLE
This is a strategic and hands-on leadership role responsible for building and leading a central Analytics & MI function. You’ll drive insight generation, embed AI tools, and oversee key transformation initiatives across analytics and decisioning.
Specifically, you can expect to be involved in:
- Leading a central Analytics & MI team and developing an insight-driven culture.
- Driving a shift from reporting to actionable, commercially aligned insight.
- Embedding AI tools into analytics workflows and setting governance standards.
- Overseeing data structures, automated reporting, and decision engine transformation.
YOUR SKILLS AND EXPERIENCE
- Proven leadership of Analytics, MI, or Insight teams within a complex environment.
- Strong capability in converting data into clear, commercial recommendations.
- Hands-on technical proficiency (e.g., SQL and/or Python) and experience with modern data stacks.
- Practical experience using AI tools for analytics and understanding of the wider AI landscape such as Claude and Cursor.
THE BENEFITS
- Opportunity to build a modern, AI‑enabled analytics capability.
- High exposure to senior leadership and strategic decision-making.
- Influence major transformation across analytics, data, and decisioning.
- Hihgly Competitive salary, bonus, and wider benefits package.
THE PROCESS
- Initial 30-40 minute interview.
- On-site technical case study and presentation.
- Panel interview with analytics leadership.
- Final-stage interview with senior executives.
- Offer
HOW TO APPLY
Please register your interest via the apply link on this page.
To Apply for this Job Click Here
E-Commerce Digital Analyst
Banbury
£300 - £400
+ Advanced Analytics & Marketing Insights
ContractBanbury, Oxfordshire
To Apply for this Job Click Here
Digital Analyst – 3 month contract
Banbury area, hybrid (3-4 days On site), £300-400/day rate, Outside IR35
This is an opportunity to join a fast-paced, product-led brand where data is at the heart of how they trade, grow and improve their digital customer experience. You will be the always-on source of truth for performance insight, helping senior stakeholders understand what is happening across traffic, conversion, and the end-to-end customer journey.
The Company
They are a D2C organisation that designs and manufactures their own products, operating across multiple international markets. With a strong ecommerce presence and ongoing investment in digital, they work closely across product, marketing, trading, and finance to drive growth. The culture is hands-on and collaborative, with a start-up feel and a preference for people who enjoy being in the office and working at pace.
The Role and Deliverables
- Carry out always-on insight and performance analysis across traffic, conversion, onsite behaviours and the full ecommerce customer journey.
- Identify trends, anomalies, and opportunities, bringing clear recommendations to e-commerce, product, marketing, and finance teams.
- Investigate issues end-to-end, working autonomously to get to root causes proactively.
- Build and maintain reports and dashboards, including initial setup and ongoing optimisation.
- Partner closely with stakeholders to ensure decisions are informed by reliable data and a clear single source of truth.
- Work across a variety of short and mid-term projects that span trading, website performance, and digital marketing effectiveness.
Your Skills and Experience
- Strong experience using GA4 for digital and e-commerce performance analysis.
- Proficiency in Looker and BigQuery for querying, reporting, and insight generation.
- Capability to work in a self-sufficient, investigative way with minimal direction.
- Ability to communicate commercial insights clearly to both technical and non-technical stakeholders.
- Experience analysing the impact of paid media channels and onsite changes on customer journeys.
- GTM knowledge is beneficial but not essential.
How to Apply
If you are a proactive Digital Analyst who enjoys getting under the surface of performance data, apply now to register your interest.
To Apply for this Job Click Here
Ecommerce Analyst – Contract
£300 - £400
+ Digital Analytics
ContractOxfordshire
To Apply for this Job Click Here
Ecommerce Analyst – Contract
Retail
£300-£400 per day – Outside IR35
Oxfordshire – 3-4 days per week in office
This is an opportunity to join a fast growing consumer brand and take full ownership of ecommerce reporting, insight and performance analysis. You will step into a critical gap where the business needs someone who can quickly create clarity, structure and actionable insights across their digital channels.
The Company
They are a direct to consumer product business that designs and manufactures all of their products in house. Their ecommerce operation spans website, digital advertising and a small amount of marketplace activity, with strong growth in both the UK and international markets. With a start-up style culture and rapid pace, they are looking for someone who can bring rigour to their data and help centralise performance insights. This contract will sit at the heart of trading, marketing and product teams.
The Role and Deliverables
- Build clear, reusable reporting that can be understood across the business.
- Deliver ongoing analysis and insights across trading, traffic, conversion rates and customer journey performance.
- Link acquisition and advertising data to onsite behaviour to understand impact on trading.
- Act as a central point for ecommerce data, creating a single source of truth.
- Work closely with ecommerce, product, marketing and finance teams to inform decision making.
- Drive investigative, proactive insight without the need for close direction.
Your Skills and Experience
- Strong experience in ecommerce analysis across traffic, conversion and customer behaviour.
- Confident working with GA4, BigQuery, Looker and SQL.
- Ability to create clear, scalable reporting for non technical stakeholders.
- Comfortable working autonomously in a fast paced, startup like environment.
- Skilled at connecting digital advertising data with onsite trading outcomes.
- Confident collaborating across cross functional teams.
How to Apply
If this sounds like a good fit, please apply with your CV and availability to start.
Ecommerce analyst / GA4 / BigQuery / Looker / SQL / Data Insights / Conversion Analysis / Customer Journey / Digital Trading / Performance Reporting
To Apply for this Job Click Here
Paid Social And Programmatic Executive
London
£35000 - £40000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Paid Social and Programmatic Executive
London, Hybrid
Salary up to – £40,000
This is a great opportunity to step into a specialist performance marketing role where you will directly shape campaign activation across paid social and programmatic channels. You will join a data‑driven environment that values collaboration, high‑quality execution, and continuous optimisation.
The Company
They are a well‑established consumer brand with a strong digital presence and an ambitious approach to performance marketing. With significant investment in paid media, they are focused on driving high‑quality traffic and measurable growth through innovative, insight‑led campaigns. You will join a supportive and collaborative team who work closely across marketing and product functions.
The Role
In this role, you will:
* Build, activate, and optimise paid social, display, and video campaigns.
* Use performance data to refine creative, targeting, and delivery strategies.
* Report on campaign performance and share clear recommendations with stakeholders.
* Manage activity against KPI and budget expectations.
* Partner with internal teams and external stakeholders to deliver high‑quality assets and campaign execution.
* Support the evaluation of channel effectiveness and contribute ideas to improve performance.
Your Skills and Experience
You will bring:
* Strong commercial experience in paid social and an understanding of programmatic marketing.
* A solid foundation in digital marketing and how paid channels fit within the wider media mix.
* Confidence interpreting data, drawing insights, and communicating results clearly.
* Excellent organisation and attention to detail.
* Proficiency with Excel for analysis and reporting.
* A collaborative, proactive approach and comfort working in a fast‑paced environment.
HOW TO APPLY:
Apply by sending your CV to Joe by the link below
To Apply for this Job Click Here
Senior/Principal Data Modeller
London
£70000 - £90000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Senior Data Modeller / Principal Data Modeller
London – Hybrid (3 Days in Office)
Salary: Up to £90,000
This is an exciting opportunity to join a high‑growth consultancy environment where you will shape data modelling standards, influence enterprise‑level design, and work directly with senior stakeholders across complex financial services programmes. If you enjoy combining hands‑on modelling with broader architectural thinking, this role offers significant impact and clear progression.
The Company
They are a well‑established consulting firm with a strong footprint across financial services and energy. Their data capability exceeds 300 specialists, and their Data Architecture function is known for delivering high‑quality modelling, strategy and metadata solutions across large‑scale transformation programmes. They operate in a collaborative, low‑ego environment where expertise is valued and career progression is structured and transparent.
The Role
As a Senior or Principal Data Modeller, you will:
- Lead and deliver hands‑on data modelling across complex programmes.
- Design relational and dimensional models for transactional, analytical and enterprise environments.
- Define modelling frameworks, standards, and guardrails for large transformations such as migrations.
- Shape and document metadata, lineage, catalogues and source‑to‑target mapping.
- Contribute to ETL design and data movement patterns across platforms.
- Work with JSON, XML, Parquet and other semi‑structured formats used across financial systems.
- Engage senior stakeholders and guide best practice within multidisciplinary teams.
- Principal level: provide thought leadership, support revenue activity and lead client‑facing presentations.
Your Skills and Experience
You will be a strong fit if you can demonstrate:
- Deep commercial experience in hands‑on data modelling (relational and dimensional).
- Ability to design logical and physical data models and explain modelling decisions to stakeholders.
- Experience working in consulting, financial services, or energy environments.
- Capability in ERWin or similar modelling tools such as Sparx, RSA, Visio or related platforms.
- Understanding of ETL flows, metadata management and how data is structured for AI, ML, BI and analytics use cases.
- Comfort operating in client‑facing settings and contributing to delivery outcomes.
- Principal level: additional experience in leadership, client development or shaping solution direction.
What They Offer
- Exposure to major financial services organisations and high‑impact data programmes.
- Supportive culture with ongoing learning and a strong data community.
How to Apply
If you are interested in this Senior or Principal Data Modeller position, please apply with your CV and we will be in touch soon.
To Apply for this Job Click Here
Lead Data Platform Engineer
Leeds
£75000 - £85000
+ Data Engineering
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
Lead Data Platform Engineer
£75,000 – £85,000
Remote
You are a well-experienced Lead Data Platform Engineer, looking to take ownership of a modern lakehouse platform and shape best‑in‑class data engineering practices.
THE COMPANY
This industry-leading organisation serves specialist, people-first knowledge to its clients and is looking to provide further expertise by improving its data capabilities.
THE ROLE
As a Lead Data Engineer you will build a Databricks platform with ownership, shaping how data is engineered, deployed, automated, and governed in Azure.
Specifically, you can expect to be involved in the following:
- Designing and developing end‑to‑end data platform solutions in Azure using Databricks
- Building and maintaining automation for cluster management, monitoring, tagging, and platform optimisation.
- Implementing CI/CD and DevOps best practices across data pipelines and platform components.
- Taking ownership of design decisions and long‑term architectural direction.
SKILLS AND EXPERIENCE
The successful Lead Data Engineer will have the following skills and experience:
- Deep expertise with Azure Databricks, including development, deployment, and platform‑level engineering.
- Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory.
- Solid understanding of DevOps practices including CI/CD and automated testing.
- Experience with monitoring, logging, and alerting solutions.
- Ability to work effectively with stakeholders across engineering functions.
BENEFITS
The successful Lead Data Platform Engineer will receive the following benefits:
- Salary between £75,000 – £85,000 – depending on experience
- Competitive bonus and benefits.
- Remote work with a flexible 35-hour week that can be taken as a 4-day week.
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Lead Data Platform Engineer
Liverpool
£75000 - £85000
+ Data Engineering
PermanentLiverpool, Merseyside
To Apply for this Job Click Here
Lead Data Platform Engineer
£75,000 – £85,000
Remote
You are a well-experienced Lead Data Platform Engineer, looking to take ownership of a modern lakehouse platform and shape best‑in‑class data engineering practices.
THE COMPANY
This industry-leading organisation serves specialist, people-first knowledge to its clients and is looking to provide further expertise by improving its data capabilities.
THE ROLE
As a Lead Data Engineer you will build a Databricks platform with ownership, shaping how data is engineered, deployed, automated, and governed in Azure.
Specifically, you can expect to be involved in the following:
- Designing and developing end‑to‑end data platform solutions in Azure using Databricks
- Building and maintaining automation for cluster management, monitoring, tagging, and platform optimisation.
- Implementing CI/CD and DevOps best practices across data pipelines and platform components.
- Taking ownership of design decisions and long‑term architectural direction.
SKILLS AND EXPERIENCE
The successful Lead Data Engineer will have the following skills and experience:
- Deep expertise with Azure Databricks, including development, deployment, and platform‑level engineering.
- Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory.
- Solid understanding of DevOps practices including CI/CD and automated testing.
- Experience with monitoring, logging, and alerting solutions.
- Ability to work effectively with stakeholders across engineering functions.
BENEFITS
The successful Lead Data Platform Engineer will receive the following benefits:
- Salary between £75,000 – £85,000 – depending on experience
- Competitive bonus and benefits.
- Remote work with a flexible 35-hour week that can be taken as a 4-day week.
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
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