Private Equity Jr Data Engineer

Valor Real Estate Partners LLP
Greater London
4 months ago
Applications closed

Related Jobs

View all jobs

Junior Data Analyst

Junior Data Scientist | London | SaaS Data Platform

Director, Asset Management Risk

(14/04/2025) Systems Integration Analyst

Data Engineer

Assessor / Trainer - Data Technician and Business Analyst

About Valor

Valor Real Estate Partners LLP (“Valor”) is a pan-European industrial platform, headquartered in London, focused on urban/infill industrial and logistics properties in the UK, France, Germany and the Netherlands.


Founded in 2016, Valor is a full-service development management and investment business with offices in London and Paris and c. €3.5bn AUM. Valor Real Estate Partners, the real estate industrial and logistics specialist, is seeking a Data Engineer to sit within the Investment team.


About Research

Our Research & Strategy team works closely with our private equity firm partners, operating as an extension of their deal teams to craft investment thesis, uncover trends and themes; evaluate investment opportunities across EMEA. We are seeking a data engineer to create and manage the technological part of data infrastructure, who is forward-thinking, analytical, passionate about investment and real estate, and thrive in a team oriented, collaborative environment.


Primary Responsibility:

  • Data mining and assembling large, complex sets of data from external and internal sources, including managing data feeds through APIs and scripting
  • Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
  • Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies, participate in data migration projects
  • Building analytical tools (i.e leveraging Tableau) to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and fund capital deployment
  • Ensure data quality and accuracy by implementing data quality checks, and data governance processes


Secondary Responsibility:

  • Synthesizing information and translating it into key insights that support investment decision making
  • Assisting Research in maintaining strategic models and updating presentations, as well as supporting Investment teams with ad-hoc deal-related requests and presentations.
  • Actively contributing to various projects and activities within the research team as a committed team player.


Requirements and skills

  • Data Science, Computer Science, Engineering / mathematical / analytical background
  • 2 Years experience as a data engineer or in a similar role
  • Proficiency in programming and data engineering tools, including SQL, Python/R
  • Experience with Geospatial tools such as QGIS
  • Experience with BI tools such as Tableau
  • Structured and Critical Thinking & Analytical: breaks down complex problems and solves them in creative ways is a must
  • Proficient in MS Word, Excel and PowerPoint
  • Familiarity with data warehousing concepts, understanding of Snowflake, AWS etc.
  • Understanding of business requirements and spotting opportunities to innovate. Willingness to step out of comfort zone and learn modern data engineering practices and trends.
  • Impeccable attention to detail
  • Self-starter with ability to multi-task and efficiently manage time and workload


Application Process

Please send your CV to (applications will be assessed on a rolling basis). Candidates that meet the requirements will be invited to complete various assessments from home before being invited to interview.


Based: London

Salary: Competitive

Start: ASAP

Website: www.valorrep.com

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.

AI Jobs for Non‑Technical Professionals: Where Do You Fit In?

Your Seat at the AI Table Artificial Intelligence (AI) has left the lab and entered boardrooms, high‑street banks, hospitals and marketing agencies across the United Kingdom. Yet a stubborn myth lingers: “AI careers are only for coders and PhDs.” If you can’t write TensorFlow, surely you have no place in the conversation—right? Wrong. According to PwC’s UK AI Jobs Barometer 2024, vacancies mentioning AI rose 61 % year‑on‑year, but only 35 % of those adverts required advanced programming skills (pwc.co.uk). The Department for Culture, Media & Sport (DCMS) likewise reports that Britain’s fastest‑growing AI employers are “actively recruiting non‑technical talent to scale responsibly” (gov.uk). Put simply, the nation needs communicators, strategists, ethicists, marketers and project leaders every bit as urgently as it needs machine‑learning engineers. This 2,500‑word guide shows where you fit in—and how to land an AI role without touching a line of Python.

ElevenLabs AI Jobs in 2025: Your Complete UK Guide to Crafting Human‑Level Voice Technology

"Make any voice sound infinitely human." That tagline catapulted ElevenLabs from hack‑day prototype to unicorn‑status voice‑AI platform in under three years. The London‑ and New York‑based start‑up’s text‑to‑speech, dubbing and voice‑cloning APIs now serve publishers, film studios, ed‑tech giants and accessibility apps across 45 languages. After an $80 m Series B round in January 2024—which pushed valuation above $1 bn—ElevenLabs is scaling fast, doubling revenue every quarter and hiring aggressively. If you’re an ML engineer who dreams in spectrograms, an audio‑DSP wizard or a product storyteller who can translate jargon into creative workflows, this guide explains how to land an ElevenLabs AI job in 2025.