Senior Platform Engineer
Manchester / £70000 - £85000 annum
INFO
£70000 - £85000
LOCATION
Manchester
Permanent
Senior Data Platform Engineer
Location: Primarily Remote (1 day/month in-office)
Salary: £70,000 - 85,000
Join a cutting-edge Data Platform Engineering team working on real-time analytics and microservices architecture to power one of the most sophisticated martech solutions in the industry.
About the Role:
Reporting directly to the Platform Engineering Manager, you'll be a vital part of a team that enables real-time data processing and analytics. This role involves developing and maintaining microservices, capturing user events and feeding them into a Snowflake-powered analytics platform.
What You'll Be Doing:
- Developing microservices that handle real-time data ingestion from APIs into the data warehouse
- Working with live-streaming data
- Writing clean, efficient Java code (Python is a bonus!)
- Enhancing and scaling the experimentation framework to support data science and ML operations
- Ensuring high-quality, accurate data delivery across data platforms
- Collaborating with analytics engineers and data scientists to enable fast insights
- Participating in a CI/CD pipeline to deliver high-velocity, production-ready systems
This Role Requires:
- Strong Java skills
- Experience with live-streaming technologies such as Kafka, Flink or Kinesis
- Solid understanding of event-driven architecture
- Experience with CI/CD practices and tools
- Familiarity with microservices and modern cloud-based platforms
- Exposure to MLOps and Kubernetes is a big plus
- Computer Science degree or equivalent practical experience

SIMILAR
JOB RESULTS

Lead Credit Risk Analyst
London
£60000 - £80000
+ Risk Analytics
PermanentLondon
LEAD CREDIT RISK ANALYST
UP TO £80,000 + STOCK
LONDON
A top FinTech in the UK that Harnham have been partnered with for some time now are on the search for a Senior/Lead Strategy Analyst for edit risk function. This position is a great opportunity to join a fast-growing business.
THE COMPANY
This profitable FinTech are known for being one of the top lending analytics companies in the UK offering unsecured products for consumers. Experience at a company like this is second to none and invaluable for any candidate’s CV.
THE ROLE
The role will involve working on a consumer lending product across the credit risk lifecycle
You can expect to be involved in the following day to day:
- Oversee analysis, development and improvement for credit strategies
- Work across commercial and pricing strategies alongside credit risk analytics
- Wide scoping role involved analytics, strategy development and some model building
- Be very hands on with data
SKILLS AND EXPERIENCE
- Experience working in credit risk analytics
- Experience analysing data and documenting trends to drive insight
- Strong commercial mindset
- Strong SQL skills – Python ideal too
- Experience working for a top FinTech is ideal
- A strong university degree in a numerate discipline – will need to be a top degree in STEM
SALARY AND BENEFITS
- Up to £80,000 base salary
- Stock
- Private Healthcare
HOW TO APPLY
Please register your interest by sending your CV to Shane McWilliams via the Apply link on this page.

Digital Merchandiser
Birmingham
£30000 - £35000
+ Digital Analytics
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
Digital Merchandiser
Birmingham (Hybrid)
£30,000-£35,000
THE COMPANY
A well-known retailer is seeking a Digital Merchandiser to join their team!
THE ROLE
As the Digital Merchandiser, you will be responsible for ensuring all products are correctly placed and positioned across the business’ digital estate. You will work on category optimisation in conjunction with internal analytics and external CRO teams.
YOUR SKILLS AND EXPERIENCE
- Digital / Online Merchandising Experience
THE BENEFITS
- £30,000-£35,000
HOW TO APPLY
Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page
KEY TERMS
IBM, Coremetrics, Google Analytics, GA, Omniture, SiteCatalyst, Adobe Analytics, Analyst, Web, Digital, Online, Website, Financial Services, Finance, A/B, Test, Split, Multivariate, MVT, Tracking, Code, Tagging, Tags, Insight, Client, Agency, Management, Strategy, CRO, Conversion, Optimisation, Optimizely, Test and Target, Adobe Target, Maxymiser, VWO, Visual Website Optimiser
To Apply for this Job Click Here

CRO Lead
£35000 - £40000
+ Digital Analytics
PermanentLancashire
To Apply for this Job Click Here
CRO Lead
Lancashire (Hybrid)
£35,000-£40,000
THE COMPANY
Great opportunity for an ambitious CRO Lead looking for a new challenge with a high-end luxury retailer; if you want to work on innovative digital projects for a fast-growing company, this is the role for you!
THE ROLE
In this CRO Lead role, you’ll have the chance to ideate & and analyse split tests, working across a range of digital platforms; you will use GA4, ContentSquare & AB Tasty
YOUR SKILLS AND EXPERIENCE
- Experience in the CRO/Analytics space
THE BENEFITS
- £35,000-£40,000
HOW TO APPLY
Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page
KEY TERMS
IBM, Coremetrics, Google Analytics, GA, Omniture, SiteCatalyst, Adobe Analytics, Analyst, Web, Digital, Online, Website, Financial Services, Finance, A/B, Test, Split, Multivariate, MVT, Tracking, Code, Tagging, Tags, Insight, Client, Agency, Management, Strategy, CRO, Conversion, Optimisation, Optimizely, Test and Target, Adobe Target, Maxymiser, VWO, Visual Website Optimiser
To Apply for this Job Click Here

Senior Data Scientist / Machine Learning Engineer
London
£140000 - £160000
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Contract Senior Data Scientist / ML Engineer
£600-800/day | Outside IR35 | Hybrid (Central London, 2 days/week)
We’re working with a specialist consultancy delivering high-impact machine learning solutions to private equity-backed businesses. They are looking for an experienced Data Scientist or ML Engineer to support a live project, applying classical machine learning to solve tangible, high-value problems.
You will be joining a small, collaborative team of engineers and data scientists on-site 2 days per week in Central London.
The work focuses on traditional ML use cases, such as:
-
Optimisation modelling to improve manufacturing throughput
-
Predictive modelling to anticipate and reduce asset downtime
-
Customer churn prediction and mitigation
-
Next-best-action modelling for sales agents
-
Geospatial modelling to inform store and asset placement decisions
Must-Have Requirements:
-
3-5+ years’ experience applying classical ML in commercial settings
-
Excellent Python coding skills (production-grade, using libraries like Pandas, NumPy, scikit-learn)
-
Strong understanding of supervised and unsupervised learning methods (regression, classification, clustering, tree-based models, etc.)
-
Comfortable working across the full ML lifecycle
-
Previous exposure to ambiguous or evolving problem spaces, ideally within consulting or client-facing environments
- Experience with AWS / Azure and SageMaker
-
Clear and confident communicator, able to contribute to client conversations and work collaboratively with delivery teams
-
Degree from a top university in a quantitative discipline (Master’s preferred)
-
Based in London and able to attend the client site 2 x per week.
Nice-to-Haves:
-
Experience with geospatial modelling, time series forecasting, or operational optimisation
-
DBT
Interviews are taking place this week. Start ASAP.
Please email
To Apply for this Job Click Here

CAN’T FIND THE RIGHT OPPORTUNITY?
STILL
LOOKING?
If you can’t see what you’re looking for right now, send us your CV anyway – we’re always getting fresh new roles through the door.