Data Engineer
London / £55000 - £65000 annum
INFO
£55000 - £65000
LOCATION
London
Permanent
Data Engineer
Location: London (Hybrid)
Salary: Up to £60,000
About the Company
This innovative transport company plays a key role in providing convenient and reliable mobility services across the UK. Operating a vast network, they are committed to enhancing the travel experience while focusing on sustainable and eco-friendly practices. Join a growing team dedicated to improving transportation and helping people make the most of their journeys.
Role Overview
As a Data Engineer, you will be integral in transforming raw data into valuable datasets that support business decisions and improve operational knowledge. You will be responsible for building and maintaining data infrastructure, implementing data models, and ensuring the integrity and accuracy of data across various systems. Your work will contribute to achieving the industry's open data goals and enhance the company's data-driven insights.
You will collaborate closely with a variety of stakeholders, ensuring that data is processed, validated, and delivered in a way that drives business success.
Key Responsibilities
Build, maintain and optimise cloud-based data infrastructure, databases and processing frameworks.
Design and implement effective data models to manage large volumes of diverse data, including building and maintaining data warehouses and data lakes.
Develop and maintain ETL pipelines to extract, transform and load data from various sources.
Ensure the integrity and accuracy of data by establishing data quality standards and developing validation and cleansing processes.
Collaborate with stakeholders to define data governance policies and implement data security measures to protect sensitive information and comply with privacy regulations.
Work with data scientists, analysts and business stakeholders to understand and meet their data requirements.
Optimise data pipelines, storage and retrieval processes to improve performance.
Stay up-to-date with the latest trends and technologies in data engineering to enhance efficiency and innovation.
Skills and Experience
The ideal candidate will have:
Strong knowledge of data warehousing and data modelling concepts.
Experience with cloud data platforms such as AWS and/or Azure.
Familiarity with data engineering tools and technologies related to these platforms (e.g. Azure Functions, ADF, Databricks, Kinesis, Kafka, Glue, Lambda, APIs).
Proficiency in SQL and Python is highly desirable.
Experience with machine learning and artificial intelligence is a plus.
Excellent communication skills, with the ability to collaborate effectively with stakeholders and suppliers.
High attention to detail and the ability to prioritise tasks and meet deadlines.
A proactive attitude with a drive for continuous improvement.
Benefits
As a Data Engineer, you will receive:
A competitive salary up to £60,000, depending on experience.
Hybrid working, with 2-3 days a week in the London office.
Full training and career development opportunities.
How to Apply
To apply for this exciting opportunity, please send your CV to Callum Aris via the Apply link on this page.
CONTACT
Callum Aris
Recruitment Consultant
SIMILAR
JOB RESULTS
Digital Data Analyst
Burton-On-Trent
£40000 - £45000
+ Digital Analytics
PermanentBurton-On-Trent, Staffordshire
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Digital Data Analyst – Up to £45,000
Burton Upon Trent – Hybrid (1-2 days per week in office)
A growing analytics team is hiring a Digital Data Analyst to optimize web performance, track user behavior, and provide real-time insights across 80+ websites. This is a hands-on role, working with SQL, GA4, Looker, Power BI, and Excel to assess data quality, debug tracking issues, and generate reports that drive key business decisions.
The Company
A well-established brand in the hospitality sector, operating over 2,600 pubs, restaurants, and hotels across the UK. Their digital analytics function is expanding to enhance website performance, customer journeys, and marketing effectiveness.
The analytics team is structured into four key areas:
- Digital – Website and app reporting, deep-dive analysis, and future planning
- CRM – Customer database management, campaign analysis, and reporting
- Loyalty & Customer Insights – Understanding and segmenting customer behavior
- Data Science & Engineering – Supporting analytics efforts and proving business value
The Role
As a Digital Data Analyst, you will be responsible for website performance analytics, ensuring high-quality data reporting and debugging tracking issues. You will provide valuable insights that enhance the customer experience and improve conversion rates.
Key Responsibilities:
- Ensure data quality and debug tracking issues for web analytics tools such as GA4, Looker, and Power BI
- Extract, assess, and report on website data, delivering actionable insights
- Work with SQL to manipulate and analyze datasets
- Build automated dashboards and reports to track website performance
- Support conversion rate optimization (CRO) initiatives by identifying drop-off points in customer journeys
- Work with marketing and product teams to optimize digital campaigns and user experiences
Your Skills and Experience
The ideal candidate is a web analytics professional with strong technical expertise and the ability to turn data into insights.
Essential:
- Strong SQL skills with experience in extracting and transforming web data
- Experience with GA4 (Google Analytics), Looker, and Power BI
- Understanding of website tracking, tag debugging, and data validation
- Proficiency in Excel for manual reporting where necessary
- Ability to interpret data trends and make recommendations
Nice to Have:
- Experience with Microsoft Clarity
- Knowledge of CRO and website optimization strategies
- Background in Adobe Analytics (not required but beneficial)
The Benefits
- Salary up to £45,000
- Hybrid working with 1-2 days per week in Burton Upon Trent
- Exposure to a high-growth analytics function
- Collaboration with Data Science, CRM, and Marketing teams
- Strong career progression opportunities
How to Apply
Please register your interest by sending your CV to Mohammed Buhariwala at Harnham via the Apply link on this page.
Key Terms
Digital Analyst, Web Analytics, SQL, GA4, Google Analytics, Looker, Power BI, Microsoft Clarity, Data Visualization, CRO, Dashboarding, Reporting, Data Science, Customer Insights, Tag Debugging, Conversion Rate Optimization, Hospitality Analytics, Burton Upon Trent, Hybrid Work.
To Apply for this Job Click Here
Senior Data Platform Engineer
Leeds
£75000 - £80000
+ Data Engineering
PermanentLeeds, West Yorkshire
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SENIOR DATA PLATFORM ENGINEER
£75,000-£80,000 + BENEFITS
PIMARILY REMOTE
An opportunity to join a popular telecoms company expanding into new markets!
THE COMPANY:
Over the past few years, this telecoms company has expanded. With a rich data set, they have lots of data to work with and are keen to bring in a Senior Data Platform Engineer to help with enabling real time data processing.
THE ROLE:
A remote working Senior Data Platform Engineer will need to:
- Scale real-time data processing for analytics and automation
- Enhance experimentation frameworks
- Optimise the Martech data ecosystem
YOUR SKILLS AND EXPERIENCE:
A successful Senior Data Platform Engineer will have the following skills and experience:
- Ability and experience interacting with key stakeholder
- Java experience for microservicing
- Streaming experience e.g. Kafka, Kinesis, Flink
- Cloud experience – AWS, Azure, GCP
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £75,000-80,000 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.
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Senior Credit Risk Manager
London
£80000 - £95000
+ Risk Analytics
PermanentLondon
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SENIOR CREDIT RISK MANAGER
£90,000
LONDON
THE COMPANY
This is an exciting opportunity with a leading UK FinTech that focus on harnessing data to enhance their lending decisions. This business have been growing in recent years and are now in an excellent position. This role offers the chance to work closely with the data science team to drive impact across their lending strategies and broader business profitability.
THE ROLE
- Analysing trends in lending portfolios to drive insight and enhance business performance
- Monitor and adjust lending strategies across the customer lifecycle to enhance profitability and decisioning
- Collaborating with the data science team to drive model performance and implementation of innovative machine learning models
- Leading the incorporation of new data sources to enhance and improve decisioning
YOUR SKILLS AND EXPERIENCE
- Previous experience in and knowledge of SQL and Python is essential
- Experience in developing lending strategies in a consumer lending environment
- Experience monitoring a lending portfolio and customer trends
- STEM degree from a Russell Group University
SALARY AND BENEFITS
- Base salary of up to £90,000
- Hybrid work model
- Company equity
- Broader company benefits including international trips
HOW TO APPLY
Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link
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Data engineer senior
Paris
€55000 - €65000
+ Data Engineering
PermanentParis, Île-de-France
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DATA ENGINEER SENIOR – PARIS
UP TO 65K€ FIXE + 10% Variable + Bonus
2 jours de télétravail
Une entreprise startup qui développe un logiciel d’IA innovant recherche un profil data engineer. Si tu as un très bon niveau en mathématiques et que tu as déjà fait de la data retrieval, alors cette offre est faite pour toi !
LE POSTE
Rattaché au Head of engineering, tu rejoindras l’équipe data engineering composée de 3 personnes. En tant que Senior Data Engineer, ton rôle sera de participer au développement de plusieurs projets et de t’assurer de leur bon fonctionnement. Vos missions au quotidien :
- Création de tâches ETL pour rendre les données disponibles pour les autres équipes (exemple des données provenant d’API)
- Contribution au développement d’un reverse ETL pour le téléchargement des modèles
- Création d’API et de bibliothèques pour faciliter la communication entre les équipes
VOTRE PROFIL
- Bac+5 top 10 école d’ingénieur (une spécialisation en MVA est fortement appréciée)
- Minimum 2 ans d’expérience en tant que Data engineer
- Connaissances avancées d’un ou plusieurs langages de programmation
- Maîtrise de SQL et Python
- Capacité à programmer de manière simple et concise
- Très bon niveau d’anglais requis
POUR POSTULER
Merci de joindre votre cv à jour et nous reviendrons vers vous rapidement.
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Fraud Strategy & Analytics Manager
City of London
£80000 - £100000
+ Risk Analytics
PermanentCity of London, London
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Fraud Strategy & Analytics Manager
Up to £100,000
Hybrid (3 days a week in office)
London
Company:
One of our fintech clients is on the lookout for a top Fraud Strategy Manager to join their fraud analytics function to work on developing fraud strategies, rules, and providing insights for senior stakeholders both internally and externally using tools like SQL and Python.
Responsibilities:
As a Fraud Strategy Manager, you will be responsible for:
- Crafting and implementing effective fraud strategies to mitigate risks and protect the bank and its customers
- Utilizing SQL and Python to identify fraud patterns, develop predictive models, and develop fraud rules
- Working with senior stakeholders to push for policies to be put in place to prevent fraud
- Collaborating with multiple vendors to enhance fraud prevention measures and ensure seamless integration.
- Making sure that every strategy is in line with regulatory requirements and industry best practices.
Key Requirements:
- Strong experience in developing comprehensive fraud strategies and rules
- Proficiency in SQL and Python
- In-depth knowledge of fraud from a regulatory standpoint
- Experience working with multiple different vendors.
- Previous experience working for a fast-paced business/fintech
- STEM Degree from a top university
To Apply for this Job Click Here
Head of Data Science
City of London
£120000 - £140000
+ Risk Analytics
PermanentCity of London, London
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Head of Data Science
Up to £140,000
London
Hybrid
I am currently hiring for a top consumer lending fintech based in London. They are looking to bring in a top leader in data science function to come into the business and spearhead the Fraud, Credit Risk, and Customer Analytics modelling for the business to support rapid growth.
The Role:
- Developing new models for Credit risk decisioning/developing scorecard models using SQL, Python, and Snowflake
- Developing models for fraud prevention and models for customer analytics
- Working with senior stakeholders across different areas of the business being able to manage both down and up
- Setting out the data science and modelling roadmap for the business
- Improving efficiency with the development of automation across the business.
Your Skills & Experience:
- Experience with Unsecured consumer lending
- Strong experience using SQL and python across your career.
- Experience owning and developing credit risk models
- Experience developing scorecards and decision models
- STEM Degree from a top University
Salary – Up to £140,000
To Apply for this Job Click Here
Credit Risk Data Scientist
City of London
£65000 - £80000
+ Risk Analytics
PermanentCity of London, London
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Credit Risk Data Scientist
London
Hybrid
Up to £80,000
The Company
I am hiring for a lending fintech based in London who are looking to bring in a Credit Risk Data Scientist to build decision scorecards across the credit risk customer lifecycle.
The Role
What you will do as a Credit Risk Data Scientist:
- Developing scorecards across the credit risk customer lifecycle
- Analyse large datasets to extract meaningful insights to drive model development.
- Developing models working with other functions for collections and acquisitions scorecards
- Communicating and presenting analysis and insights to senior stakeholders across the company
- Using Python daily to develop credit risk models and improve the credit risk scorecard models across the customer lifecycle.
Requirements:
What you need to be successful as a Credit Risk Data Scientist:
- Strong experience working within credit risk models.
- Experience at a fintech/fast-paced company
- Experience developing credit risk scorecards end-to-end.
- Strong experience developing credit models end-to-end.
- Strong experience using Python to develop models.
- Numeric degree from a top university.
Benefits
Up to £80,000 + competitive bonus and benefits
HOW TO APPLY
Please register your interest by sending your CV to Sean Tunley via
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Lead Credit Risk Analyst
Birmingham
£50000 - £60000
+ Risk Analytics
PermanentBirmingham, West Midlands
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Lead Credit Risk Analyst
Up to £60,000
Hybrid
Birmingham
The Company
I am hiring a Lead Credit Risk analyst for lending business that leads the way on all types of unsecured lending for a large consumer base across the UK. Within this role you will help drive credit risk strategy using analytics to drive companywide profitability.
The Role
As a Lead Credit Risk Analyst, you will be:
- Reporting on credit risk insights and trends to senior stakeholders
- Using analytics skills to improve credit risk strategies
- Helping manage the credit risk customer lifecycle
- Spotting trends to find new ways to increase profitability for credit risk
- Developing new credit risk strategies across the business for acquisitions and existing customers.
- Working with and presenting to senior stakeholders daily within the role.
Your skills and experience:
To be successful as a Lead Credit Risk Analyst, you will need:
- Strong experience with SAS and/or SQL
- Experience as a credit risk analyst in an analytical position
- Experience developing credit risk strategy.
- Experience working in financial services
- Excellent communication skills
- Strong stakeholder management
- STEM Degree from a top university
Benefits
Up to £60,000 + benefits package
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Fraud Strategy & Analytics Consultant
City of London
£55000 - £65000
+ Risk Analytics
PermanentCity of London, London
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Fraud Strategy & Analytics Consultant
Up to £65,000
Hybrid
London
Company:
One of our Consulting clients are on the lookout for a highly skilled Fraud Strategy & Analytics Consultant to join their fraud function working closely with clients developing strategies and providing insights.
Responsibilities:
As a Fraud Strategy & Analytics Consultant, you will be responsible for:
- Developing and implementing effective fraud strategies to mitigate risks and protect different clients and customers
- Utilizing SQL, Python, and Power BI to analyze data, identify fraud patterns, and develop predictive models.
- Managing and mitigating various types of fraud, including scams, APP fraud, and third-party fraud.
- Collaborating with multiple vendors to enhance fraud prevention measures and ensure seamless integration.
- Leveraging your experience in the UK banking sector to align strategies with regulatory requirements and industry best practices.
Key Requirements:
- Extensive experience in developing comprehensive fraud strategies.
- Strong experience with analysis of large customer data sets.
- Proficiency in SQL, Python, and Power BI.
- In-depth knowledge of scams, Authorized Push Payment (APP) fraud, and third-party fraud.
- Experience working with different vendors.
- Previous experience working for a UK bank.
Salary: Up to £65,000 Per Year + Strong Benefits Package
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Senior Insurance Pricing Analyst
City of London
£50000 - £60000
+ Risk Analytics
PermanentCity of London, London
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Senior Insurance Pricing Analyst
London
Hybrid (1 day week in office)
Up to £60,000
Company:
I am hiring for a leading insurance company at the forefront of the industry, committed to its valued customers. They have a consumer market presence across the UK with huge investment and planned growth over the next couple of years. You will be coming in as a Senior Pricing Analyst to drive business profitability and support growth moving forward.
The Role:
- Building pricing models, using statistical techniques in pricing
- Conducting data analysis and reporting to evaluate pricing performance and identify opportunities for optimization.
- Developing and implementing pricing strategies
- Utilizing your strong communication skills to present complex pricing concepts and strategies to senior stakeholders across the business
- Optimisation and testing pricing models to increase efficiency for the business
Experience Required:
- Experience in pricing analytics within the insurance industry.
- Experience developing pricing models using Python.
- Proven experience in building pricing models using statistical techniques
- Excellent communication and interpersonal skills
- Experience working with senior stakeholders and helping to implement pricing strategy
- STEM Degree
Benefits
Up to £60,000 + competitive benefits package
To Apply for this Job Click Here
Head of Data Science (Credit Risk & Fraud)
City of London
£120000 - £140000
+ Risk Analytics
PermanentCity of London, London
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Head of Data Science (Credit Risk & Fraud)
Up to £140,000
London
Hybrid
I am currently hiring for a top consumer lending fintech based in London. They are looking to bring in a top leader in data science function to come into the business and spearhead the Fraud, Credit Risk, and Customer Analytics modelling for the business to support rapid growth.
The Role:
- Developing new models for Credit risk decisioning/developing scorecard models using SQL, Python, and Snowflake
- Developing models for fraud prevention and models for customer analytics
- Working with senior stakeholders across different areas of the business being able to manage both down and up
- Setting out the data science and modeling roadmap for the business
- Improving efficiency with the development of automation across the business.
- Cross-collaborating with other functions across the business to increase efficiency and revenue
Your Skills & Experience:
- Experience with Unsecured consumer lending
- Strong experience using SQL and python across your career.
- Experience owning and developing credit risk models
- Experience developing scorecards and decision models
- STEM Degree from a top University
Salary – Up to £140,000
To Apply for this Job Click Here
Lead credit risk data scientist
London
£90000 - £140000
+ Risk Analytics
PermanentLondon
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LEAD CREDIT RISK DATA SCIENTIST
LONDON
UP TO £140,000
If you love building models more than managing people, and you’re excited by the idea of shaping the future of motor financing-this one’s for you. You will be joining as an individual contributor, owning the Data Science function!
THE ROLE
- Build, validate, and deploy credit risk, fraud, collections models
- Analyse portfolio performance and monitor key risk indicators
- Collaborate with data engineers to productionise and maintain model pipelines
- Ensure compliance with relevant regulations and support model governance processes
- Communicate insights clearly to technical and non-technical stakeholders
REQUIREMENTS
- credit risk modeling/ data science role, ideally in fintech, banking, or consumer lending
- Strong Python and SQL skills (Pandas, Scikit-learn, etc.)
- Solid understanding of credit risk modelling, statistical methods
HOW TO APPLY
Please apply below…
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