Data Engineer
London
Deployment /
Full-time /
Hybrid
WovenLight is creating a new category of investment firm. We combine traditional private equity investing with deep capabilities in AI and machine learning - in order to drive outsized value creation at our portfolio companies.
We do this as an “active co-sponsor”, co-underwriting deals with top-tier Private Equity firms and deploying our own in-house team of data scientists, engineers, and strategists to execute value creation projects at the companies we invest in. Investing across North America and Europe and across sectors, we focus on companies where there is untapped potential from ML/AI/data science.
During H1 2025, WovenLight has:
- Executed on our first two deals - partnering with leading PE firms to co-sponsor investments. For more details, please see our current portfolio at https://www.wovenlight.com/portfolio
- Entered into a strategic partnership with leading European PE firm – Altor. Through this partnership, WovenLight acts as an AI transformation partner to Altor and its portfolio companies. For more details, please see https://www.wovenlight.com/perspectives/altor-advances-ai-leadership-through-a-strategic-partnership-with-wovenlight
To execute our mission we are building an integrated team of world class data, investment, technology and operations professionals.
As a WovenLight Data Engineer you will support the development and productionisation of data and analytics products within our clients. The ultimate objective being significant operational and financial improvement at those organisations.
Examples of projects you could work on include:
• Optimisation modelling to improve manufacturing throughput
• Predictive modelling to anticipate/avoid asset downtime
• Predicting and reducing customer churn
• Identifying next best action for sales agents
• Geospatial modelling to improve store footprint
You will commonly work alongside a WovenLight team of 3-4 people, comprised of Project Delivery colleagues, Data Scientists, Data Engineers and Machine Learning Engineers.
Your contribution within this team will include:
• Working with a range of stakeholders to understand, assess and map the company's data landscape
• Collaborating with data science colleagues to map data fields to hypotheses in order to curate, wrangle, and prepare data for use in advanced analytical models
• Acquiring, ingesting, and processing data from multiple sources and systems
• Building modular pipelines to construct features and modelling tables
• Architecting and building production services and data systems that are scaleable and robust
• Ensuring sustained impact from this work by applying best practices in data management, model management and/or algorithmic lifecycle management
The successful candidate will have the some of the following attributes:
- Passion and expertise in applying data and analytics to deliver commercial impact (2+ years)
- Bachelor’s degree (at least 2:1) or higher in a quantitative subject
- Experience with Python, SQL
- Expertise with cloud platforms such as AWS, Azure, Google Cloud Platform
- Ability to work with a range of database technologies. We would not expect anyone to know all of these but these are some of the technologies we use: distributed processing (e.g. Spark), traditional RDBMS (e.g. PostgreSQL), MPP (e.g. AWS Redshift), NoSQL (e.g. MongoDB), ETL tooling, CI/CD, Github and Kedro.
- Good communication skills - able to explain complex analytical concepts to individuals from other fields
Please note: We are not seeking new agency relationships at this time.
Our core team is based in London. Interviews for this role will be conducted via a combination of phone, video-conference and in person.
WovenLight is committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation, gender identity or any other basis as protected by applicable law.
