We're Plentific, the world’s leading real-time property solution, and we're looking for top talent to join our ambitious team. We’re a global company, headquartered in London, and operating across the United Kingdom, Germany and North America.

As a B2B company, we're dedicated to helping landlords, letting agents and property managers streamline operations, unlock revenue, increase tenant satisfaction, and remain compliant through our award-winning SaaS technology platform. We also work with SMEs and large service providers, helping them access more work and grow their businesses.

We're not just any proptech - we're backed by some of the biggest names in the business, including A/O PropTech, Highland Europe, Mubadala, RXR Digital Ventures and Target Global and work with some of the world’s most prominent real estate players.

But we're not just about business - we're also building stronger communities where people can thrive by ensuring the quality and safety of buildings, supporting decarbonisation through our ESG Retrofit Centre of Excellence and championing diversity across the sector through the Women’s Trade Network. We're committed to creating exceptional experiences for our team members, too. Our culture is open and empowering, and we're always looking for passionate, driven individuals to join us on our mission.

So, what's in it for you?

• A fast-paced, friendly, collaborative and hybrid/flexible working environment
• Ample opportunities for career growth and progression
• A multicultural workplace with over 20 nationalities that value diversity, equity, and inclusion
• Prioritisation of well-being with social events, digital learning, career development programs and much more

If you're ready to join a dynamic and innovative team that’s pioneering change in real estate, we'd love to hear from you.

The Role

We’re looking for a proactive and energetic individual with extensive experience in Data Engineering and Machine Learning to join our growing business. You’ll be working alongside highly technical and motivated teams and report to the Head of Data Engineering. You would be expected to contribute to the growth of the data/ML/AI products both internally and for our customers. You’ll be working on the cutting edge of technology and will thrive if you have a desire to learn and keep up to date with the latest trends in Data Infrastructure, Machine Learning and Generative AI. For people with the right mindset, this provides a very intellectually stimulating environment.

Responsibilities

• Be one of the architects for our data model defined in dbt.
• Take ownership and refine our existing real time data pipelines.
• Create and maintain analytics dashboards that are defined as-code in Looker
• Create and productize Machine Learning and LLM-based features
• Be a mentor for the more junior data engineers in the team

Requirements

• Proficient in SQL and Python. A live coding interview is part of the hiring process.
• Experience in data modelling with dbt
• Experience organising the data governance across a company, including the matrix of access permissions for a data warehouse.
• Experience with BI tools as code. Looker experience is a nice to have.
• Experience building ETL/ELT data ingestion and transformation pipelines
• Experience training Machine Learning Algorithms
• Experience productizing Machine Learning from the infrastructure perspective (MLOps)
• Nice to have: experience productizing multimodal (text, images, audio, video) GenAI products with frameworks such as LangChain

Benefits

As you can see, we are quickly progressing with our ambitious plans and are eager to grow our team of doers to achieve our vision of managing over 2 million properties through our platform across various countries. You can help us shape the future of property management across the globe. Here’s what we offer:

• A competitive compensation package
• 25 days annual holiday
• Flexible working environment including the option to work abroad
• Private health care for you and immediate family members with discounted gym membership, optical, dental and private GP
• Enhanced parental leave
• Life insurance (4x salary)
• Employee assistance program
• Company volunteering day and charity salary sacrifice scheme
• Learning management system powered by Udemy
• Referral bonus and charity donation if someone you introduce joins the company
• Season ticket loan, Cycle to work, Electric vehicle and Techscheme programs
• Pension scheme
• Work abroad scheme
• Company-sponsored lunches, dinners and social gatherings
• Fully stocked kitchen with drinks, snacks, fruit, breakfast cereal etc.