Data Engineer

AlbionVC
London
1 week ago
Applications closed

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Data Engineer - AlbionVC


AlbionVC is looking for a dynamic Data Engineer to join our team, to continue to develop our data platform, software stack, and more generally help develop AlbionVC’s data strategy.


Having experienced success with the first phase of our data strategy program, we are doubling down on our commitment to this capability. Developing a data driven value chain is a strategic pillar for AlbionVC.


About Albion

When AlbionVC was founded in 1996 the fund set out to partner with visionary entrepreneurs to create successful companies across a range of industries. A lot has changed since; however the way we do business has not. We are supportive investors who strive for excellence and act with integrity and humility in our interactions with founders and with each other. We invest in startups with potential to grow into enduring companies that reshape industries. In doing so we achieve top quartile returns for our investors.


Today we focus on the software, healthcare and deeptech sectors in the UK with £1 billion of capital. The knowledge and insights we have built up over the last 29 years have given us an ability to spot companies that are set to become global category leaders, and as a result we have multiple successful exits and unicorns in our portfolio.

All of this is only possible because of the long term, considerate yet high performing culture, embodied by an inspiring team, half of whom have been doing this for well over a decade.


About the Role

We are seeking a Data Engineer to help spearhead a new data-driven era for AlbionVC’s investment process, with digitisation, automation, and data-driven decision at its core. Our data tools will deliver outsized returns through greater efficiency and effectiveness across the investment value chain: i) discovering investment opportunities, ii) evaluating, selecting and converting these opportunities, and iii) driving portfolio company growth. We support utilising the best third party or proprietary tools and data services in pursuit of this ambition.


You will have a high degree of autonomy but be supported by a dynamic and driven team comprising partners and investment team members. The role will report to Sebastian Hunte at AlbionVC with wider exposure to the steering group responsible for the data strategy.


In addition to your daily responsibilities as a data engineer you will get broader exposure to all processes and functions within an early-stage venture capital firm.


Responsibilities

  • Lead the day to day execution and implementation of AlbionVC’s data platform.
  • Build and manage Data Pipelines enriching company data.
  • Create predictive models and software to surface and highlight companies which match AlbionVC’s startup criteria.
  • Build our foundational knowledge graph, which captures the wider AlbionVC and portfolio company network.
  • Develop an intuitive platform which enables our investors to manage the companies that they are screening and tracking and provides the team with up-to-date information as companies' dynamics change.
  • Report progress in a continuous manner and work closely with the wider team to ideate and implement technical solutions which maximise our investors' ability to access the best companies in their focal areas.
  • Ensure best practices in software development, versioning and documentation to enable continued iteration. 
  • Lead on the presentation of project progress and translate business requirements into technical features and roadmaps.


About You

You will excel in this role if you are a highly motivated self-starter capable of owning and executing a software project from theory to deployment. You will also be comfortable working in a fast-paced environment with high degrees of autonomy. A working knowledge of the venture capital space is a plus, but this is a developer role and hence you are fundamentally an engineer/data scientist at heart. You will almost certainly have had prior industry experience in either a startup or tech company. You will also be comfortable reporting your outputs to a non-technical audience. The key success criteria will be usable feature development that touches the investment process.


Specifically, we are looking for candidates with the following skills:

  • A postgraduate degree in an engineering or computer science field or equivalent experience in industry.
  • Proficiency with Python, SQL and JavaScript at minimum.
  • Experience working with knowledge graphs and integrating them with LLMs and data pipelines.
  • An ability to apply appropriate ML and analytics approaches to drive value creation from data.
  • Comfort working within a cloud environment such as AWS or Google Cloud.
  • Experience working with databases and data warehouses such as BigQuery.
  • Experience working with LLMs, generative AI and agentic systems.
  • Experience developing front ends and visualisations to make complex data analysis digestible and actionable for our investors.
  • Experience working within a software project management framework.
  • Experience acting as product manager with comfort owning the execution of the project from start to finish and translating business requirements into technical roadmaps and vice versa.


Key Attributes

  • Intellectually curious and exceptionally smart: gets things quickly, learns fast.
  • Analytical: excels at numerical analysis and storytelling with data
  • Excellent written and spoken English: able to proofread documents, spot typos.
  • High EQ: excellent critical judgement and accurate gut feel
  • Open and honest: builds trust and respect.
  • Independent and autonomous in working style: thrives in a non-corporate, entrepreneurial team.
  • Output focused, is a starter-finisher. Can showcase examples of live work.


Package

  • Compensation will be competitive, aligned with the candidate’s skills and experience.
  • Based in London with an option to work from home.


Time commitment

  • This role is expected to last at least a year with scope to become permanent based on success.
  • Can be 3 days a week alongside a PhD, Research Masters or equivalent if necessary for the right candidate.
  • We expect more work to be available during and post the year given the success of the strategy so far and key strategic pillar that data has become at AlbionVC.





AlbionVC is an equal opportunities employer committed to providing equal opportunities for growth and development regardless of race, gender, religion, sexual orientation, age, disability, or socio-economic background. We believe that teams perform best when individual team members feel safe to bring their whole selves to work.

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