Customer Data & Insights Manager
/ £40000 - £45000 annum
INFO
£40000 - £45000
LOCATION
Permanent
Customer Data and Insights Manager
Up to £45,000 + profit share bonus + benefits
Lancashire (Hybrid working)
Permanent
About the Company
We're working with a leading UK luxury retailer specializing in high-end jewelry, watches, and premium brand products. Established over 100 years ago as a family business, they now operate 80+ locations across the UK with a thriving e-commerce platform. They've been recognized as one of the UK's best employers and are known for their exceptional workplace culture, employee benefits, and commitment to work-life balance.
The Role
We're looking for a Customer Data and Insights Manager to join a forward-thinking Digital and Brand Experience team. This role is critical to maintaining a high-quality, secure, and unified customer data ecosystem that powers personalized marketing and exceptional customer experiences.
You'll bridge data management and insights, combining technical skills with strategic thinking to ensure customer data flows seamlessly across systems, segmentation drives targeted campaigns, and stakeholders have access to meaningful customer analytics.
This is perfect for someone with experience in data management or analytics who wants to take ownership of customer data strategy in a luxury retail environment.
Key Responsibilities
- Oversee and optimize the flow of customer data between CRM systems, CDPs, ecommerce platforms, and marketing channels, ensuring seamless integration and accuracy.
- Ensure robust and efficient customer data collection across all touchpoints (online, in-store, mobile, email).
- Optimize data health and integrity through consistent, best-practice approaches to data cleansing, deduplication, and validation.
- Conduct in-depth analysis to identify customer trends, behaviors, and insights that inform CRM campaigns and marketing strategy.
- Produce reports for CRM and Marketing teams to enable targeting, personalization, and decision-making.
- Develop segmentation strategies to enable personalized, relevant marketing activity across email, SMS, direct mail, and digital channels.
- Build and maintain a suite of dashboards and reports to keep stakeholders informed of key customer KPIs including acquisition, retention, lifetime value, engagement, and purchase behavior.
- Work closely with Tech teams and developers to optimize customer data integration from multiple sources and troubleshoot data flow issues.
- Ensure compliance with data privacy regulations (GDPR) and champion data governance best practices across the business.
What You'll Be Working On
Customer Data Platform (CDP) management and optimization - ensuring data is unified, accurate, and actionable.
Segmentation and modeling - creating customer segments for targeted campaigns based on behavior, demographics, purchase history, and engagement.
Data quality initiatives - implementing processes to cleanse, validate, and maintain high-quality customer data.
Insights and reporting - translating data into actionable recommendations for Marketing, CRM, and leadership teams.
Cross-functional collaboration - partnering with Tech, Marketing, CRM, and ecommerce teams to align on data strategy.
What We're Looking For
Essential:
- Experience in a data management or data analytics role, ideally in retail or ecommerce.
- Knowledge of retail-focused CRM and CDP systems (Bloomreach, Segment, Tealium, mParticle, Salesforce CDP, or similar).
- Strong understanding of data integration methodologies and how customer data flows between systems.
- Hands-on experience with analytics and BI platforms (Power BI, Tableau, Looker, or similar).
- SQL knowledge and ability to query customer databases to extract insights and build segments.
- Proven ability to influence stakeholders around data health, quality, and best practices.
- Impeccably high attention to detail and accuracy when working with data.
- Understanding of CRM segmentation and customer modeling strategies.
- Excellent communication and presentation skills - able to translate technical insights for non-technical audiences.
- Strong understanding of data legislation and privacy regulations (GDPR, ICO guidelines).
Desirable:
- Experience working in a multi-channel retail environment (online and offline customer data).
- Knowledge of Bloomreach CDP specifically.
- Awareness of how AI-driven technology is being used to enhance data cleansing and customer modeling.
- Experience with A/B testing strategies in a CRM or marketing context.
- Familiarity with ecommerce platforms (e.g., CommerceTools, Shopify, Magento).
What's On Offer
- Salary up to £45,000 + profit share bonus.
- BUPA private healthcare.
- 33 days holiday including bank holidays.
- Contributory pension and life assurance.
- Outstanding colleague discounts extending to family and friends.
- Wellbeing scheme and employee support programs.
- Hybrid working with flexible home/office balance (details can be discussed during interview).
- Career progression opportunities in an award-winning workplace culture.
Interview Process
- 1st stage: Initial chat with Talent Acquisition (week commencing 9th February).
- 2nd stage: Interview with hiring manager and stakeholders.
- Closing date: Sunday 8th February.
How to Apply
If you're a data professional with experience managing customer data ecosystems, building segmentation strategies, and delivering insights in a retail or ecommerce environment, we'd love to hear from you.
To apply or for more information, get in touch today.
CONTACT
SIMILAR
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Senior and Principle Data Architect (multiple roles)
London
£80000 - £117000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior and Principal Data Architect (Two opportunities)
Location: UK (Hybrid)
Permanent role, Salary from £80k – £117k
Overview
We’re partnering with a leading financial services consultancy to hire a Senior and Principal Data Architect. This is a senior leadership role focused on shaping and delivering enterprise data architecture strategies across large-scale transformation programmes.
Key Responsibilities:
- Lead data architecture design and delivery across complex programmes
- Define and implement enterprise data strategy and governance frameworks
- Advise senior stakeholders on best practice data architecture
- Design modern cloud-based data platforms and data lakes
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- Lead teams and contribute to capability development and business growth
Requirements:
- Strong experience in enterprise data architecture within financial services
- Proven track record delivering data strategy, architecture, and governance
- Experience designing cloud-based data platforms (AWS, Azure, or GCP)
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- Understanding of data security, privacy, and access frameworks
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Desirable:
- Cloud certifications (AWS, Azure, GCP)
- Experience with graph/semantic data modelling
If interested please apply, to follow up please message me on LinkedIn or email.
To Apply for this Job Click Here
Senior Data Modeller
London
£80000 - £88000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Data Modelling Consultant
Location: UK (Hybrid)
Permanent role, up to £88k + bonus + benefits
We’re working with a leading financial services consultancy to hire a Senior Data Modelling Consultant to support large-scale data transformation and migration programmes. This role offers the chance to work with major financial institutions on complex, high-impact data initiatives.
Key Responsibilities:
* Analyse business requirements to define data structures and usage
* Develop and maintain conceptual, logical, and physical data models
* Collaborate with architects and SMEs to design data solutions
* Define data entities, relationships, and source-to-target mappings
* Support data governance and ensure adherence to standards
* Contribute to physical data model implementation
Requirements:
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* Expertise across conceptual, logical, and physical modelling
* Strong stakeholder management skills
* Experience working in Agile environments
* Knowledge of UML, RDBMS, JSON/XML
* Knowledge/experience of Erwin
Desirable:
* Knowledge of industry data standards (e.g. fpML, FIX, FIBO)
* Experience with ontologies (RDF/OWL/TTL)
* SQL and/or Python
If interested please apply. To follow up on your application please email or drop me a message on LinkedIn
To Apply for this Job Click Here
Data Science Manager (Recommendation Systems)
Canada
$180000 - $240000
+ Data Science & AI
PermanentCanada
To Apply for this Job Click Here
Data Science Manager (Recommendation Systems)
Remote (Canada)
$180,000 – $240,000 CAD base + equity + benefits
About the Company
This organization builds widely used collaborative software that helps distributed teams plan, design, and execute complex work together. The platform supports millions of users who rely on it to organize ideas, coordinate projects, and make decisions more effectively.
Engineering teams operate in small, autonomous groups that own meaningful product outcomes. The culture emphasizes practical problem solving, thoughtful experimentation, and systems that deliver measurable value to users.
Data science plays a central role in shaping how users discover content, navigate workflows, and extract value from the platform. Machine learning systems directly influence user engagement, retention, and overall product growth.
About the Role
This is a hands-on leadership role responsible for building and evolving the machine learning systems that power personalized experiences across the product.
You will lead a small team of data scientists while remaining actively involved in system design, model development, and production deployment. A primary focus of the role is the development and scaling of recommendation systems that help users discover relevant content, workflows, and collaboration opportunities.
You will partner closely with product, engineering, and business teams to identify high-impact opportunities where recommendation models and predictive systems can improve user experience and drive measurable business outcomes.
Success in this role will be defined by the performance of deployed systems – particularly recommendation models that improve discovery, engagement, and retention across a large user base.
Key Responsibilities
- Design and deploy production recommendation systems that personalize product experiences for users
- Lead development of machine learning models that improve content discovery, engagement, and user retention
- Architect scalable pipelines for feature generation, model training, evaluation, and deployment
- Establish clear success metrics for recommendation models and continuously improve system performance
- Hire, mentor, and develop a small team of data scientists focused on applied product impact
- Partner with product and engineering teams to identify opportunities where recommendation systems can drive measurable improvements in user experience
- Build experimentation frameworks to evaluate ranking strategies and recommendation effectiveness
- Guide the evolution of recommendation architecture as the product and user base continue to scale
Must Haves
- 6+ years building and deploying machine learning systems in production environments
- 2+ years leading or managing data scientists or machine learning engineers
- Demonstrated experience developing recommendation systems at scale
- Strong Python expertise and experience building production ML pipelines
- Experience with ranking models, collaborative filtering, or similar recommendation techniques
- Experience translating product or business problems into measurable ML solutions
- Strong understanding of the full ML lifecycle including feature engineering, training, deployment, and monitoring
Nice to Have
- Experience designing experimentation platforms or evaluating ranking algorithms
- Background in user behavior modeling, personalization, or search ranking
- Experience working with large-scale product datasets or distributed data platforms
- Familiarity with production backend systems or modern software engineering practices
Why Join
- Own the recommendation systems that shape how users discover and interact with the product
- Lead a high-impact data science team solving complex personalization challenges
- Work closely with product and engineering leaders to shape the future of machine learning within the platform
- Opportunity to influence systems used by millions of users globally
- Competitive compensation, equity participation, and comprehensive benefits
- Remote-first culture across Canada with strong technical standards and a collaborative engineering environment
To Apply for this Job Click Here
Data Scientist – Credit Risk
London
£65000 - £75000
+ Risk Analytics
PermanentEngland
To Apply for this Job Click Here
Data Scientist – Credit Risk
Up to £75,000
Remote (UK Based)
The Company
They are a global, fully remote fintech working across payments and credit risk. Their teams operate internationally collaborating on high impact risk and credit solutions. They use Python, SQL and GenAI tools heavily across the business.
The Role
* Deliver credit risk and fraud analytics across partner portfolios.
* Build predictive models and rules in Python and SQL.
* Develop and optimise credit strategies including pricing, limits and segmentation.
* Support bespoke insurance and risk solutions for complex merchant portfolios.
* Work closely with data, product and commercial teams.
Your Skills and Experience
* Strong commercial experience with Python and SQL.
* Background in credit risk or fraud analytics.
* Experience building supervised models.
* Comfortable solving open problems and communicating insight clearly.
* Interest in both analytics and modelling.
What They Offer
* Salary up to £75,000 + Benefits
To Apply for this Job Click Here
AI/ML Engineer
New York
$80 - $120
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
AI Developer – New York Start-Up
Harnham, the leading recruitment specialist in Data and AI is currently partnering with an organization which has just received their seed round of funding are they are looking to rapidly build out their team here in NY to build & deploy releasable products.
- Role – AI Developer
- Location – New York (onsite 5 days per week)
- Pay – $80 – $120 per hour
- Length: Extendable 3 months initial contract
- Utilization: 40 hours per week
- Benefits:W2 employees are eligible to health, dental, vision, 401k benefits.
As an AI Engineer you will be at the bleeding edge of Chip & Semiconductor design. You will be working with leading pioneers of Chip design & AI Research based in New York to combine cutting-edge AI with deep semiconductor design.
You will be designing, building & deploying ML Models & Agentic workflows to drive RTL optimization and to build the technology of tomorrow.
Requirements:
- 5 years’+ demonstrable experience working on LLM Systems or AppliedAI Research
- Strong ML tools such as PyTorch, HuggingFace & MLFlow
- Reinforcement Learning experience
- Production AI experience
- Experience working with LLMs
If you are interested in this opportunity, then please feel free to apply below or contact Ciarán to discuss more
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Principal AI Engineer
Sheffield
£85000 - £90000
+ Data Engineering
PermanentSheffield, South Yorkshire
To Apply for this Job Click Here
PRINCIPAL AI ENGINEER
Up to £90,000 + BENEFITS
SHEFFIELD (Hybrid)
This is a standout opportunity to shape and scale an AI function from the ground up. You will drive the build of production‑grade AI platforms, develop agentic automation for complex workflows, and deliver real business impact in an environment where engineering decisions directly influence performance and efficiency.
THE COMPANY:
They are a technology‑led insurance organisation. Their products are powered by a combination of smart technology and human expertise, enabling them to offer fast, tailored cover to customers with diverse needs. With strong investment behind AI, they are entering a new phase of growth and building their first dedicated AI engineering team. Joining at this stage gives you the chance to influence technical strategy, architecture, and best‑practice from day one.
THE ROLE:
- Build and operate production‑ready AI agents on GCP
- Design robust RAG pipelines covering ingestion, text processing, vector search and secure data handling.
- Implement evaluation frameworks, monitoring, A/B testing and performance dashboards for latency, cost and accuracy.
- Partner with product and operations teams to deploy AI capabilities into live environments and continually optimise performance.
- Shape engineering standards, patterns and tooling as part of a new AI function.
YOUR SKILLS AND EXPERIENCE:
- Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with applied AI delivery.
- Deep hands‑on expertise with GCP services
- Strong Python skills
- Practical experience with LLMs, embeddings, RAG architectures and vector databases.
- A track record of building production‑grade AI systems, including observability, evaluation and automated testing.
- DevOps capability across CI/CD, Docker and Kubernetes or equivalent tooling.
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £90,000 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
Site Reliability Engineer (Contractor)
London
£540 - £550
+ Data Management & Governance
ContractLondon
To Apply for this Job Click Here
THE COMPANY
Join one of the world’s most recognisable entertainment brands as they continue to scale their global digital commerce platform. You’ll be part of a centralised Technical Operations function supporting revenue‑critical services used by millions of players worldwide. This is a high‑impact role where reliability, scalability, and engineering excellence are at the heart of everything you do.
THE ROLE
As a Senior Site Reliability Engineer, you will take ownership of reliability strategy and operational excellence across key commerce domains, including subscriptions and personalisation services on the PlayStation Network. Operating in a centralised SRE model, you’ll partner closely with product and engineering teams while maintaining horizontal responsibility for production health, resilience, and scalability.
You’ll lead incident response, define reliability standards, influence architectural decisions, and build automation that elevates deployment safety and operational efficiency. This is a hands‑on, senior technical role with direct influence on systems that generate significant global revenue.
Key Responsibilities
Reliability & Risk Engineering
* Identify systemic reliability risks and drive long‑term preventative improvements
* Define and refine SLIs, SLOs, and error budgets aligned to customer and business outcomes
* Lead high‑severity incident response, post‑incident reviews, and remediation planning
Architecture & Resilience
* Influence system architecture to improve scalability, availability, and failure isolation
* Design multi‑region HA, graceful degradation, and disaster recovery strategies
* Evaluate trade‑offs between performance, cost, and operational risk
CI/CD & Deployment Safety
* Enhance CI/CD pipelines with automation and safety guardrails
* Implement safe deployment patterns (canary, blue/green, progressive delivery)
* Ensure robust rollback and recovery mechanisms
Observability & Performance
* Build and evolve observability tooling across metrics, logs, and traces
* Reduce alert fatigue and improve signal quality
* Diagnose performance bottlenecks across infrastructure and applications
Infrastructure & Automation
* Design and operate cloud‑native and containerised workloads at scale
* Use IaC to build resilient, repeatable platforms
* Develop automation frameworks that eliminate manual toil
Leadership & Collaboration
* Mentor mid‑level engineers and champion SRE best practices
* Partner with engineering, product, and security teams to embed reliability into system design
YOUR SKILLS & EXPERIENCE
Required:
* Degree in Computer Science, Engineering, or equivalent experience
* 7+ years in SRE, Production Engineering, or Systems Engineering roles
* Strong understanding of distributed systems, failure modes, and consistency models
* Hands‑on experience operating production workloads in AWS, GCP, or Azure (multi‑region)
* Strong Kubernetes experience in large‑scale production environments
* Proficiency in Go, Python, or Java for tooling and automation
* Proven experience leading high‑severity incidents and driving cross‑team remediation
* Experience designing and operating CI/CD systems with deployment safety guardrails
Preferred:
* Multi‑cloud or multi‑region resilience experience
* Experience with Prometheus, Grafana, Datadog, or similar observability stacks
* Prior mentorship or technical leadership experience
* Experience with Terraform, CloudFormation, or other IaC tools
* Exposure to AI‑assisted tooling for incident analysis or operational insights
BENEFITS
* Competitive salary + bonus
* Hybrid working model
* Excellent pension, healthcare, and wellbeing benefits
* Opportunity to influence global‑scale systems used by millions
HOW TO APPLY
If you’re a Senior SRE who thrives in high‑scale, high‑impact environments and wants to shape the reliability of globally distributed systems, we’d love to hear from you. Apply now or contact Harnham for more information.
To Apply for this Job Click Here
Product Analyst FTC
London
£55000 - £70000
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
Product Analyst FTC
London
Up to £70,000
This is an exciting opportunity to join a growing data function where you will play a key role in shaping product decisions through actionable insight. If you enjoy turning complex data into clear stories that influence strategy, this role gives you the autonomy, variety, and development environment to thrive.
The Company
They are a fast‑scaling, mission‑driven organisation supporting a wide national community through a market‑leading digital platform. With millions of active users, data sits at the centre of every strategic decision. Their teams work collaboratively, champion innovation, and are committed to creating an environment where people genuinely enjoy coming to work. As demand grows, they are continuing to expand their data capabilities and invest in modern tooling.
The Role
In this Product Analyst position, you will partner closely with product, engineering, and commercial teams to ensure decisions are grounded in strong analytical thinking. You will
* Apply quantitative analysis and data storytelling to understand user behaviour and identify opportunities.
* Generate hypotheses, support experimentation, and drive continuous improvement.
* Define and maintain core metrics, working with technical teams to ensure accurate data collection.
* Build and maintain dashboards and data products to enable self‑serve insight.
* Conduct deep dives to answer strategic questions and provide clear recommendations.
* Contribute to internal knowledge bases and support consistent data standards across teams.
Your Skills and Experience
You will bring
* Strong commercial experience working with data in an analytical capacity.
* Proficiency in SQL and experience with tools such as dbt, Python, R, or BI platforms (Lightdash, Looker, Tableau).
* The ability to translate business problems into analytical approaches and communicate insights clearly.
* A curiosity‑driven approach with a focus on impact and continuous improvement.
* A collaborative mindset and confidence working with stakeholders across product and engineering.
What They Offer
* Competitive salary up to £70,000.
* Comprehensive benefits package.
* Modern analytics tooling and a culture that supports professional growth.
* Clear progression opportunities within an expanding data and insights function.
How to Apply
If this Product Analyst role sounds like the right next step for you, please apply with your CV.
To Apply for this Job Click Here
Senior Research Executive
London
£35000 - £45000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Research Executive
Waterloo, London (Hybrid)
Up to £45,000
6‑month FTC with strong potential to go permanent
This is an excellent opportunity to step into a strategic, research‑focused role where you will shape high‑value insight projects and work directly with senior stakeholders. If you are looking for a research position that blends client interaction, mixed‑methods expertise, and commercial impact, this offers a strong platform for progression.
The Company
They are a well‑established, insight‑driven organisation operating at the premium end of the professional services market. Known for high‑quality strategic research, they provide data‑led intelligence, market analysis, and subscription‑driven content to a global client base. Their work informs commercial decision making across complex industries, with clients regularly engaging them for high‑profile strategic projects. With a long heritage and a reputation for depth, accuracy, and thought leadership, they continue to expand their research capability.
The Role
You will play a core role in delivering end‑to‑end research projects with a strong strategic focus. Key responsibilities include:
* Attending client meetings and helping shape briefs in collaboration with internal teams.
* Scoping project budgets, timelines, and outputs alongside senior research leaders.
* Designing studies, including questionnaires and discussion guides.
* Managing external fieldwork partners and overseeing project delivery.
* Conducting interviews and coordinating follow‑up sessions.
* Analysing quantitative and qualitative data and producing clear visuals and stories.
* Writing reports for external clients and collaborating with production teams.
* Presenting insights to senior stakeholders across global markets.
Your Skills and Experience
You will demonstrate:
* Strong experience working across both qualitative and quantitative research.
* Proven ability to manage multiple projects and handle fast‑paced client environments.
* Confidence designing research frameworks and managing fieldwork partners.
* Strong commercial awareness and the ability to translate data into actionable insight.
* Comfortable speaking with senior stakeholders and leading discussions.
* Experience creating visual outputs and delivering clear narratives from data.
What They Offer
* Salary up to £45,000 plus benefits.
* Hybrid working with two set office days per week.
* The chance to deliver strategic research for high‑profile, global clients.
* Direct exposure to senior leadership and opportunities for career development.
* Strong potential for the role to extend or convert to permanent.
How to Apply
If you are interested in this Senior Research Executive opportunity, please apply with your CV to begin the conversation.
To Apply for this Job Click Here
Senior Associate AI Engineer
London
£75000 - £95000
+ Data Science & AI
PermanentLondon
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Senior Associate AI Engineer
London or Remote UK, £75,000 to £95,000 plus bonus and equity
This role offers the chance to join a growing data intelligence organisation and take ownership of production AI systems. You will work with modern LLM technologies, build automated intelligence tools, and contribute to the development of future client facing AI products.
The Company
They are a data insights organisation that builds KPI prediction models for well known consumer brands. Their platform gives investors an early view of company performance ahead of earnings. As AI becomes central to their strategy, they are expanding their engineering team to build scalable agentic and RAG powered systems that support both internal teams and customers.
The Role
* Build end to end RAG pipelines covering ingestion, embeddings, vector search and LLM reasoning.
* Develop agentic workflows using frameworks such as LangChain, CrewAI or ADK.
* Create LLM powered microservices using Python, FastAPI or Flask.
* Build internal AI tools, assistants and automated workflows.
* Deploy AI systems on AWS including Bedrock, Lambda, ECS or EKS, API Gateway and S3.
* Implement CI/CD pipelines and ensure monitoring, observability and reliability across deployed systems.
Your Skills and Experience
* Strong commercial experience with Python and production engineering practices.
* Practical experience building RAG systems and agentic architectures.
* Hands on knowledge of vector databases such as Pinecone, Weaviate or Qdrant.
* Experience deploying LLM or AI applications on AWS.
* Ability to design, operate and maintain AI systems independently.
* Comfortable working in evolving environments and taking ownership of technical solutions.
What They Offer
* Salary of £75,000 to £95,000 depending on experience.
* Equity package.
* Annual performance bonus.
* Opportunities to influence AI strategy and contribute to future client facing products.
How to Apply
To be considered for the Senior Associate AI Engineer role, please apply with your CV.
To Apply for this Job Click Here
Lead Data Platform Engineer
Sheffield
£75000 - £85000
+ Data Engineering
PermanentSheffield, South 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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