They are a globally operating investment firm with a strong engineering culture and a significant focus on technology, automation, and innovation. Technology teams are embedded within the business and play an essential role in driving operational efficiency and supporting key investment functions.
Their Enterprise Engineering team develops and maintains business critical platforms spanning treasury, fund accounting, compliance, and middle office operations. Engineers are trusted with genuine ownership and are encouraged to contribute ideas, challenge processes, and deliver meaningful improvements.
As a Software Engineer you will join a high-performing engineering team building mission-critical software that powers core operations across a leading investment firm.
Specifically, you can expect to be involved in the following:
Задачи
Owning analysis from initial hypothesis through to insight and recommendation
Analysing user journeys, behaviour, conversion and engagement to identify opportunities to improve the product
Designing and evaluating A/B tests, control groups and experiments to understand incremental impact
Using product analytics tools such as Amplitude
Writing advanced SQL and using Python for deeper analysis and automation
Building and maintaining analytical data models using dbt
Creating self-service reporting around product performance, experimentation and key metrics
Working with external datasets and APIs to improve the quality, coverage and accuracy of partner/business data
Identifying data quality issues, matching records and investigating root causes
Exploring opportunities to use AI/LLMs and automation to improve analytical and data processes
Lead analytics projects and take ownership of delivery
Analyse campaign and customer journey performance
Use SQL and/or Python to generate actionable insights
Work with tools such as GA4, Adobe Analytics or similar
Build and develop dashboards and reporting
Present findings to clients and senior stakeholders
Help shape analytics roadmaps and identify opportunities for growth
Mentor and support junior analysts
Drug Response Prediction
Lead the design and execution of computational approaches to predict drug response across patient populations
Develop and validate predictive models using real-world clinical data, integrating diverse data modalities
Identify biological and clinical signals that differentiate responders from non-responders
Translate modeling outputs into actionable biological and clinical insights
Data & Analysis
Work extensively with real-world data (RWD) – EHR, claims, clinical trial data – at scale
Требования
Proven experience in Analytics Engineering, Data Engineering, or Data Platform development
Strong experience building and maintaining ELT/ETL pipelines
Proficiency with SQL and Python, alongside modern data transformation and modelling practices
Experience working with cloud-based data platforms, ideally Azure
Understanding of data quality, governance, testing, and documentation best practices
Ability to work with both technical and non-technical stakeholders to translate business requirements into data solutions
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related STEM discipline
What Will Make You Stand Out
Experience with Azure Data Factory, Databricks, Spark, or lakehouse architectures
Exposure to Microsoft 365, Power Platform, or Microsoft Graph API
Understanding of AI/ML workflows and the data requirements that support them
Experience supporting large-scale data migrations or transformation programmes
Background working within architecture, design, engineering, or other creative industries
A passion for building scalable, well-governed data solutions that drive business impact
If you are interested in the role please apply. To follow up please message me on LinkedIn or email me please
Amine Zekri
Senior Recruitment Consultant
You’ll ideally come from a product-led, B2C, marketplace, subscription, e-commerce or digitally native environment , with experience using data to directly influence product and commercial decisions
Key experience
Strong hands-on SQL
Strong Python experience
Hands-on experience with dbt
Experience with a product analytics or experimentation platform such as Amplitude, Mixpanel, Optimizely, OpenPanel, PostHog, Heap or similar
Strong A/B testing and experimentation experience
Dashboarding experience with Lightdash, Tableau or Power BI
Условия
The successful Software Engineer will receive the following benefits
Salary up to £200,000 – depending on experience
The successful Azure Cloud Engineer will receive the following benefits
Salary between £40,000 – £50,000 – depending on experience
Up to £44,000 base salary
600 annual learning and development budget
Senior mentorship and career development opportunities
Hybrid working model (4 days in office)
Work abroad policy allowing up to one week per year overseas
The successful Lead Data Engineer will receive the following benefits
Salary up to £85,000 – depending on experience
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