Use your technology skills to save the planet and build connected communities by helping us to develop a data platform for carbon neutral buildings with great tenant experience!

Background:  

Amro Data Labs is a wholly owned subsidiary of Amro Partners which is a real estate investor in the UK and in EU. We are an established developer of multi-dwelling apartment buildings and purpose-built student accommodation in UK & Europe. At Amro Data Labs we are building a data layer and an end-to-end tech solution that enables us to deliver Net Zero Carbon in our buildings at speed and at scale.  We are also focussed on making our buildings the very best in terms of customer/ tenant experience.

Job Summary: 

We are seeking an experienced Python Data Engineer to join our growing team. The ideal candidate will have a strong background in Python programming and experience working with cloud technologies. The Python Data Engineer will be responsible for designing, building, and maintaining efficient and reliable data pipelines, as well as working with large datasets and ensuring the integrity and quality of our data. 

Key Responsibilities: 

• Design, build, and maintain efficient and reliable data pipelines using Python and cloud platform 
• Work with large datasets to extract, transform, and load data into various systems 
• Ensure the integrity and quality of data through thorough testing and validation 
• Collaborate with cross-functional teams to support data-driven decision making 
• Stay up-to-date with the latest developments and best practices in data engineering 

Key Requirements: 

• Minimum 2 year's of proven experience with Python programming and cloud architecture 
• Familiarity with SQL, Linux, and Git 
• Experience working with large datasets and data pipelines 
• Knowledge of data modelling, data warehousing, and ETL processes 
• Strong problem-solving and critical thinking skills 
• Excellent communication and collaboration abilities 

Preferred Skills: 

• Commercial experience with GCP, Azure
• Familiarity with machine learning and/or data science concepts 
• Experience working in a fast-paced, agile environment 
• A bachelor's or master's degree in Computer Science, Engineering, or a related field 

Place of Work: Hybrid - In-person at our London HQ and remote Work from Home (minimum 3 days in the office)

Remuneration Package: will be commensurate to level of experience

Ideal Start Date: ASAP  

Benefits:  

• Work from home/ London HQ - hybrid working 
• Annual Performance bonus 
• Private medical insurance upon qualifying 

Please apply with a CV and a cover letter to explain why you are interested in the role.