Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Junior Data Engineer

Valor Real Estate Partners LLP
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Junior Data Engineer

Junior Data Engineer - Financial Data Platform

Jr Data Engineer

Sr. Data Engineers to work with data from across the spectrum of healthcare domains, refining requirements with customers, developing data models, extracting data from various source systems and database formats

Lead Data Engineer

Data Engineer

Private Equity Junior Data Engineer

London


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, Benelux, Spain and Italy.


Founded in 2016, Valor is a full-service development management and investment business with offices in London, Paris and Berlin. Today the Company manages a 100+ asset portfolio totalling ~1.3 million square meters and c. €4bn of AUM on behalf of a number of global investors.


We are seeking a bilingual an English professional to join our research team in London.​


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.


Responsibilities

  • 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

Requirements and skills

  • Analytical background
  • 1-2 Years experience as a data engineer or in a similar role
  • Proficiency in programming and data engineering tools, including SQL, Python/R
  • Experience with 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
  • Please note there will be a 24hours code assessment for qualified candidates.



  • Based: London
  • Salary: Competitive
  • Start: ASAP
  • Website: www.valorrep.com

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.