Portfolio Careers

Build your career at the best companies in healthcare and fintech

Senior Data Engineer Platform & Operations

IMMO Investment Technologies

IMMO Investment Technologies

Operations, Data Science
Chennai, Tamil Nadu, India
Posted on Monday, August 29, 2022
IMMO is Europe's first technology-powered residential real estate platform, designed to create portfolios of existing single-family rental (SFR) and multifamily housing (MFH). Our proprietary technology allows us to unlock investment access to 98% of the residential market currently being overlooked, at scale and speed. At the same time, we offer better solutions to consumers – empowering homeowners with quick and transparent sales, and providing a next-gen renting experience for our residents to enjoy living in beautiful homes. With technology in our DNA, data is at the heart of decision-making, and we do things sustainably by up-cycling existing properties that are responsibly retrofitted. IMMO has been awarded “Tech Pioneer” by the World Economic Forum and has been titled “Real estate asset manager of the Future” by Goldman Sachs.
We are 170+ strong with experienced professionals working across our integrated residential ‘value chain’: sourcing and acquisitions, refurbishment, lettings, property management, and portfolio management. Our team includes successful entrepreneurs and industry leaders from WeWork, Goldman Sachs, Roundhill, Morgan Stanley, Barclay, Google, and many others – and we are growing, fast.
IMMO exists to solve a fundamental human need: We aim to create and scale a residential ecosystem that is socially-responsible, safe, well-managed and fairly-priced. We’re funded by institutional investors and supported by a diverse, globally distributed with teams in UK, Germany, Spain, and India.
To further our mission, we’re looking for a creative problem solvers that would like to develop the next big innovation within the real estate industry.

You will:

  • Developing our core data platform functionality to enable data professionals and product teams with easy access to relevant data, interfaces, and functionality for reliably processing, storing and publishing data.
  • Creating technology solutions to ensure compliance with internal and external policies within the data platform.
  • Implement processes and technology to generate relevant documentation and discoverability of data (glossary, data dictionary, data lineage, etc) to improve data literacy and governance across the organization.
  • Collaborating with the tech leadership and especially architecture to understand and improve our system landscape and company-wide data architecture.
  • Temporarily supporting projects and product teams with the appropriate data architecture and implementation of new functionality. Aid data scientists with development and deployment of their solutions.
  • Identifying opportunities on how to use data, insights and analytics more powerfully to automate and optimise our processes and solutions.

You have:

  • A good understanding of the different data needs of analytics and engineering teams and how they could be met. Ideally, you have already successfully supported analytics and/or engineering teams with data platform capabilities.
  • You effectively enabled & trained others to work with the data tools and services you provided.
  • You used or ideally managed message brokers (like Kafka) to share data updates across services and applications.
  • You have a solid understanding of software design principles and DevOps.
  • You have a solid understanding of distributed processing systems such as Apache spark or any other such tech.
  • You have experience with Infrastructure as Code tools such as terraform or terragrunt. Ideally, you have production experience in AWS.
  • You are a self-starter who is comfortable working autonomously and with teams located across our offices. You’re not afraid to get your hands dirty, prioritize your focus based on impact, and are able to own a project from start to finish
  • Nice to have: Production experience with machine learning (MLOps) or containerised solutions (Docker/Kubernetes).
  • You have a strong foundation in Python and SQL.
We believe that the way to create exceptional products is by having diverse talent and creating an inclusive workplace. We encourage people with diverse backgrounds and experiences to join us.
If this opportunity excites you, apply now!