

ScanSan Properties
Pipeline Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position with a contract length of over 6 months, offering a pay rate of £TBC per month. It requires 3+ years of experience, proficiency in SQL and Python, and expertise in data pipeline frameworks and cloud platforms. Hybrid work is based in Hammersmith.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
November 28, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Fixed Term
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Data Science #Version Control #API (Application Programming Interface) #Data Modeling #Security #Azure #SQL (Structured Query Language) #Monitoring #AWS (Amazon Web Services) #Scala #Python #Java #GIT #ML (Machine Learning) #PostgreSQL #Cloud #Storage #Luigi #Datasets #Data Pipeline #dbt (data build tool) #Data Integrity #MySQL #Airflow #Data Engineering #Deployment #Data Quality #AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #GCP (Google Cloud Platform) #Web Scraping #S3 (Amazon Simple Storage Service) #Data Ingestion #Kafka (Apache Kafka) #Databases #Apache Airflow #Redshift #BigQuery #Data Processing
Role description
This is a DATA ENGINEER ROLE ( Not PIPELINE ENGINEER Role)
Who We Are 🪢
Welcome to ScanSan, where we're not just another tokenisation company. We're transforming how people invest in property. With our innovative platform, we're eliminating the hassle of buying proprietary tokens or dealing with volatile markets. Instead, we provide a straightforward and secure connection between investors and landlords, empowering people to build wealth through property investment.
But that’s just the beginning. Our mission is to become the global leader in PropTech, revolutionising property markets and making them accessible to everyone. Through cutting-edge technology, including Web3 advancements and AI-driven solutions, we’re changing lives by making previously inaccessible real estate opportunities available to all.
At ScanSan, innovation drives us. And you? As a Data Engineer, you will play a critical role in shaping this future. Your contributions will enable the flow, storage, and processing of data that powers our platform, ensuring insights are reliable, accessible, and actionable.
If you're ready to make a tangible impact and eager to be part of something revolutionary, join us at ScanSan, where we're redefining the future of property investment, one dataset at a time.
The Role
As a Data Engineer, you'll be responsible for building and maintaining scalable data pipelines, designing data models, and ensuring data integrity across our platform. You will collaborate closely with product managers, data scientists, and backend engineers to ensure our data infrastructure supports business needs and fuels innovation.
Your Impact 🧠
• Design, implement, and maintain ETL/ELT pipelines to handle large-scale data ingestion and transformation.
• Build and optimize data models, ensuring performance and scalability.
• Design and implement robust web scraping and web crawling solutions to extract structured and unstructured data from online sources.
• Collaborate with backend engineers to integrate data workflows with APIs and services.
• Ensure data quality, reliability, and consistency across systems.
• Implement monitoring and alerting to detect and resolve data issues proactively.
• Support analytics and AI teams with structured, clean, and accessible datasets.
• Continuously improve data infrastructure by adopting best practices in engineering, testing, and deployment.
Requirements and Skills 📖
• 3+ years of experience in data engineering, data pipelines, or related roles.
• Strong proficiency in SQL and relational databases (PostgreSQL, MySQL, etc.).
• Experience with data pipeline frameworks like Apache Airflow, dbt, or Luigi.
• Proficiency in Python, Java, or Scala for data processing.
• Experience with cloud platforms (AWS, GCP, Azure) and data services (S3, BigQuery, Redshift, etc.).
• Familiarity with data modeling, ETL/ELT processes, and data warehousing concepts.
• Experience with web scraping frameworks and tools (e.g., BeautifulSoup, Scrapy, Selenium, Playwright).
• Knowledge of streaming technologies like Kafka, Kinesis, or similar is a plus.
• Understanding of API integration, version control (Git), and modern development workflows.
• Ability to work independently and collaboratively in a fast-paced startup environment.
Next Level 🏆
• Experience building data infrastructure for AI or machine learning projects.
• Expertise in handling large-scale, real-time data streams.
• Strong understanding of distributed systems and cloud-native architectures.
• Knowledge of Web3 or blockchain data is a plus.
Non-Negotiables
• Full-time contract position with a MacBook Pro.
• Hybrid working: Monday WFH, Tuesday–Friday in-office (Hammersmith).
• A startup mindset: passionate, committed, and ready to make an impact.
Benefits of Working with Us
🚀 Career & Growth
• Work on cutting-edge projects alongside talented professionals
• Access to continuous learning and professional development opportunities
• Opportunity for permanent position after Seed Round closure
• Potential equity/shares in what we believe will be the next unicorn company
💼 Work Environment
• Collaborative, inclusive, and innovation-driven culture
• Private events hosted in our office
• 24-hour office access and security
☕ Office Perks
• Unlimited Fair Trade tea and coffee
• Bike racks and showers for commuters
• Free gym membership
• Annual Bupa health check for all employees
We Don't Just Invest in Property, We Invest in People 🤖
At ScanSan, democratising property investment is about people. Innovation flourishes when diverse voices come together, and we’re committed to building a workplace that reflects the richness of our world. We celebrate individuality, value diverse perspectives, and empower everyone to thrive within a talented and inclusive team.
As a start-up, we offer a full-time contract position with a salary of £TBC per month, with the opportunity to transition into a permanent role that includes a share package.
Next Steps 🎉
If this role sounds like a great fit for you, we’d love to hear from you! Please send your CV and a brief introduction to eliza@scansanproperties.com. We look forward to connecting! (Direct applicants only, please – no recruiters.)
Please note that we cannot offer visa sponsorship for this position now.
This is a DATA ENGINEER ROLE ( Not PIPELINE ENGINEER Role)
Who We Are 🪢
Welcome to ScanSan, where we're not just another tokenisation company. We're transforming how people invest in property. With our innovative platform, we're eliminating the hassle of buying proprietary tokens or dealing with volatile markets. Instead, we provide a straightforward and secure connection between investors and landlords, empowering people to build wealth through property investment.
But that’s just the beginning. Our mission is to become the global leader in PropTech, revolutionising property markets and making them accessible to everyone. Through cutting-edge technology, including Web3 advancements and AI-driven solutions, we’re changing lives by making previously inaccessible real estate opportunities available to all.
At ScanSan, innovation drives us. And you? As a Data Engineer, you will play a critical role in shaping this future. Your contributions will enable the flow, storage, and processing of data that powers our platform, ensuring insights are reliable, accessible, and actionable.
If you're ready to make a tangible impact and eager to be part of something revolutionary, join us at ScanSan, where we're redefining the future of property investment, one dataset at a time.
The Role
As a Data Engineer, you'll be responsible for building and maintaining scalable data pipelines, designing data models, and ensuring data integrity across our platform. You will collaborate closely with product managers, data scientists, and backend engineers to ensure our data infrastructure supports business needs and fuels innovation.
Your Impact 🧠
• Design, implement, and maintain ETL/ELT pipelines to handle large-scale data ingestion and transformation.
• Build and optimize data models, ensuring performance and scalability.
• Design and implement robust web scraping and web crawling solutions to extract structured and unstructured data from online sources.
• Collaborate with backend engineers to integrate data workflows with APIs and services.
• Ensure data quality, reliability, and consistency across systems.
• Implement monitoring and alerting to detect and resolve data issues proactively.
• Support analytics and AI teams with structured, clean, and accessible datasets.
• Continuously improve data infrastructure by adopting best practices in engineering, testing, and deployment.
Requirements and Skills 📖
• 3+ years of experience in data engineering, data pipelines, or related roles.
• Strong proficiency in SQL and relational databases (PostgreSQL, MySQL, etc.).
• Experience with data pipeline frameworks like Apache Airflow, dbt, or Luigi.
• Proficiency in Python, Java, or Scala for data processing.
• Experience with cloud platforms (AWS, GCP, Azure) and data services (S3, BigQuery, Redshift, etc.).
• Familiarity with data modeling, ETL/ELT processes, and data warehousing concepts.
• Experience with web scraping frameworks and tools (e.g., BeautifulSoup, Scrapy, Selenium, Playwright).
• Knowledge of streaming technologies like Kafka, Kinesis, or similar is a plus.
• Understanding of API integration, version control (Git), and modern development workflows.
• Ability to work independently and collaboratively in a fast-paced startup environment.
Next Level 🏆
• Experience building data infrastructure for AI or machine learning projects.
• Expertise in handling large-scale, real-time data streams.
• Strong understanding of distributed systems and cloud-native architectures.
• Knowledge of Web3 or blockchain data is a plus.
Non-Negotiables
• Full-time contract position with a MacBook Pro.
• Hybrid working: Monday WFH, Tuesday–Friday in-office (Hammersmith).
• A startup mindset: passionate, committed, and ready to make an impact.
Benefits of Working with Us
🚀 Career & Growth
• Work on cutting-edge projects alongside talented professionals
• Access to continuous learning and professional development opportunities
• Opportunity for permanent position after Seed Round closure
• Potential equity/shares in what we believe will be the next unicorn company
💼 Work Environment
• Collaborative, inclusive, and innovation-driven culture
• Private events hosted in our office
• 24-hour office access and security
☕ Office Perks
• Unlimited Fair Trade tea and coffee
• Bike racks and showers for commuters
• Free gym membership
• Annual Bupa health check for all employees
We Don't Just Invest in Property, We Invest in People 🤖
At ScanSan, democratising property investment is about people. Innovation flourishes when diverse voices come together, and we’re committed to building a workplace that reflects the richness of our world. We celebrate individuality, value diverse perspectives, and empower everyone to thrive within a talented and inclusive team.
As a start-up, we offer a full-time contract position with a salary of £TBC per month, with the opportunity to transition into a permanent role that includes a share package.
Next Steps 🎉
If this role sounds like a great fit for you, we’d love to hear from you! Please send your CV and a brief introduction to eliza@scansanproperties.com. We look forward to connecting! (Direct applicants only, please – no recruiters.)
Please note that we cannot offer visa sponsorship for this position now.






