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- Tasks: Join our team to manage data infrastructure and optimise processes for investment insights.
- Company: Valor is a leading pan-European real estate investment firm based in London.
- Benefits: Enjoy a competitive salary, collaborative culture, and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of real estate investment across Europe.
- Qualifications: 1-2 years experience in data engineering, proficiency in SQL and Python/R required.
- Other info: Candidates will undergo a 24-hour coding assessment.
The predicted salary is between 28800 - 48000 £ per year.
About Valor
Valor Real Estate Partners LLP 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 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 thrives 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 24-hour code assessment for qualified candidates.
Based: London
Salary: Competitive
Start: ASAP
Website: www.valorrep.com
Junior Data Engineer employer: Valor Real Estate Partners LLP
Contact Detail:
Valor Real Estate Partners LLP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as AWS, SQL, and Tableau. Having hands-on experience or projects showcasing your skills with these tools can set you apart during the interview process.
✨Tip Number 2
Network with professionals in the private equity and real estate sectors. Attend industry events or join relevant online forums to connect with people who might provide insights or even refer you to opportunities at Valor.
✨Tip Number 3
Prepare for the technical assessment by brushing up on your coding skills, particularly in Python and SQL. Practice common data engineering problems and be ready to demonstrate your problem-solving abilities during the assessment.
✨Tip Number 4
Showcase your analytical thinking and attention to detail in conversations. Be prepared to discuss how you've approached complex problems in the past and the innovative solutions you've implemented, as this aligns with the company's values.
We think you need these skills to ace Junior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Junior Data Engineer role. Emphasise your proficiency in SQL, Python/R, and any experience with BI tools like Tableau.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and real estate. Mention specific projects or experiences that demonstrate your analytical skills and ability to work collaboratively.
Highlight Technical Skills: In your application, clearly outline your technical skills, especially those related to data mining, AWS, and data warehousing concepts. This will show that you have the necessary background for the role.
Prepare for the Code Assessment: Since there will be a 24-hour code assessment for qualified candidates, brush up on your coding skills and be ready to demonstrate your problem-solving abilities using SQL and Python/R.
How to prepare for a job interview at Valor Real Estate Partners LLP
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL, Python, and any BI tools like Tableau during the interview. Be prepared to discuss specific projects where you used these skills, as this will demonstrate your hands-on experience and technical capabilities.
✨Understand the Company and Its Market
Research Valor Real Estate Partners and their focus on urban industrial properties. Understanding their business model and recent trends in the real estate market will help you tailor your answers and show your genuine interest in the role.
✨Prepare for the Code Assessment
Since there will be a 24-hour code assessment for qualified candidates, brush up on your coding skills beforehand. Practice common data engineering problems and be ready to explain your thought process and solutions clearly.
✨Demonstrate Analytical Thinking
Be ready to showcase your analytical skills by discussing how you've approached complex problems in the past. Use examples that illustrate your ability to break down issues and implement effective solutions, as this is crucial for the role.
