PRYPCO — a fast-growing PropTech company in Dubai — is hiring a talented Software Engineer (Data) to build and own the data platform that powers decision-making across the entire organization. You will design, build, and operate the systems that make data reliable, accessible, and easy to work with for every team — from product and engineering to data science — using a modern data stack including Python, SQL, Apache Airflow, Snowflake, BigQuery, Trino, and Apache Spark. You will own problems end-to-end, from architecture through automation, and work directly with the people who depend on what you build. If you love data infrastructure, scalable ETL pipelines, and platform engineering that has real cross-company impact, PRYPCO is calling.
About PRYPCO — Dubai’s PropTech Data-Driven Platform
Company: PRYPCO — a data-driven PropTech platform based in Dubai, building the infrastructure that powers property decisions at scale
Data Mission: Building a reliable, accessible, and scalable data platform that enables every team across the organization to make better decisions faster
Tech Stack: Python, SQL, Unix shell scripting, Apache Airflow, Trino, Apache Spark, Snowflake, BigQuery, Docker, Kubernetes, Terraform, AWS, GCP
Engineering Culture: Agile, TDD, CI/CD, XP practices — a technically rigorous team that builds with quality and automation at the core
Ownership: End-to-end ownership of data problems — from architecture and pipeline design through to automation and user onboarding
Why Join PRYPCO as Data Engineer in Dubai, UAE?
Tax-Free Income: Competitive UAE salary in a zero-income-tax environment — data engineers are among the most in-demand and well-compensated professionals in Dubai’s growing tech sector
End-to-End Ownership: This is not a siloed execution role — you own data architecture decisions, pipeline design, and platform strategy with real cross-company impact
Modern Tech Stack: Work with the most in-demand data engineering technologies — Airflow, Snowflake, BigQuery, Spark, Kubernetes, Terraform — in a fast-paced startup environment
Growth Environment: Join a rapidly growing PropTech company at the intersection of real estate and data technology in one of the world’s most dynamic and innovative cities
Position Overview
This Software Engineer (Data) role at PRYPCO in Dubai is a full-time position embedded at the core of the company’s data engineering function. You will own the design, build, and operation of data platforms and ETL pipelines that streamline how data flows, is processed, and is made accessible across PRYPCO’s product, engineering, and data science teams. This means building and maintaining efficient pipelines using Python, SQL, and Unix shell scripting; orchestrating workflows with Apache Airflow; leveraging distributed processing engines including Trino, Spark, Snowflake, and BigQuery; and establishing data standards, comprehensive documentation, and a company-wide data registry. The role demands strong Agile engineering practices including TDD, CI/CD, and refactoring discipline, as well as the systems thinking and communication skills to translate ambiguous cross-functional requirements into robust, scalable data solutions. Optional experience with cloud platforms (AWS/GCP), Kubernetes, Terraform, Data Mesh principles, and observability tools like Grafana, Prometheus, or ELK Stack are additional advantages in this high-impact data engineering role.
Why This Role Matters: As Software Engineer (Data) at PRYPCO Dubai, you are building the data foundation that drives every significant business decision across the company — your pipelines, your architecture choices, and your data quality standards directly shape how accurately and confidently every team operates, you work with a genuinely modern data engineering stack combining Airflow orchestration, Snowflake and BigQuery analytics warehouses, Trino and Spark distributed processing, and Kubernetes-based infrastructure in a real production environment that demands engineering excellence, you have end-to-end ownership of real data problems — not just ticket execution — meaning your architectural thinking and automation initiatives have visible, company-wide impact from day one, and you build a high-value data engineering career in Dubai’s fast-growing PropTech and technology sector, in a tax-free environment that increasingly attracts some of the world’s most talented data professionals.
Key Responsibilities
Data Platform Design, Build & Maintenance
- Design, build, and maintain efficient, reliable data platforms that streamline end-to-end data pipelines and automate previously manual data workflows across the organization
- Architect and implement scalable ETL pipelines using Python, SQL, and Unix shell scripting — ensuring data flows reliably from source systems to consumption layers
- Orchestrate complex data workflows using Apache Airflow — building, monitoring, and maintaining DAGs that support PRYPCO’s data processing at scale
- Leverage distributed data processing and query engines including Trino, Apache Spark, Snowflake, and BigQuery to deliver high-performance analytics and data processing capabilities
Data Standards, Documentation & Registry Management
- Establish, enforce, and continuously improve data standards across the company — defining naming conventions, data quality rules, and engineering best practices that all teams follow
- Maintain comprehensive and accurate data documentation that makes it easy for every team to understand, trust, and effectively use the data platform
- Manage the company-wide data registry — ensuring all datasets, pipelines, schemas, and data assets are catalogued, described, and discoverable across the organization
- Plan and execute organisation-wide platform improvements — defining best practices for coding, testing, deployment, and maintenance that raise the overall engineering standard
Cross-Functional Partnership & User Onboarding
- Partner closely with cross-functional teams across Product, Engineering, and Data Science to translate ambiguous and evolving requirements into practical, scalable data platform solutions
- Onboard and support platform users — helping teams across the organization adopt data tools, understand pipelines, and get maximum value from the data infrastructure you build
- Communicate platform updates, data insights, and engineering decisions through dashboards, internal bots, and other tooling that makes data accessible and actionable company-wide
- Use data and engineering metrics to guide platform decisions — continuously improving reliability, performance, and usability based on evidence rather than assumption
Agile Engineering Practices & Continuous Improvement
- Apply strong Agile engineering practices consistently — including Test-Driven Development (TDD), continuous refactoring, CI/CD pipelines, and Extreme Programming (XP) principles
- Contribute to the definition and enforcement of engineering quality standards across the data platform — code reviews, testing frameworks, deployment automation, and monitoring
- Identify and implement platform improvements that enhance reliability, reduce technical debt, and position PRYPCO’s data infrastructure for sustainable long-term scale
- Bring a continuous improvement mindset to every aspect of the data platform — proactively identifying optimization opportunities and acting on them with ownership and urgency
Qualifications & Requirements
Educational Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related technical discipline — or equivalent practical professional experience
Core Technical Requirements
- Strong proficiency in Python, SQL, and Unix shell scripting for data pipeline development, automation, and data platform engineering
- Hands-on experience with Agile engineering practices including TDD, continuous refactoring, CI/CD, and XP methodologies in production software environments
- Proven experience designing, implementing, and maintaining custom ETL pipelines from source extraction through transformation and loading at production scale
- Experience with workflow orchestration tools — specifically Apache Airflow for DAG-based pipeline scheduling and monitoring
- Expertise in distributed data processing and query engines including Trino, Apache Spark, Snowflake, and/or BigQuery
Advantageous Skills
- Experience with cloud platforms — AWS and/or GCP — for data infrastructure provisioning, storage, and compute management
- Containerization and Infrastructure as Code experience using Docker, Kubernetes, and Terraform in production data engineering environments
- Understanding of modern Data Mesh principles and hands-on experience applying decentralized data architecture patterns
- Experience with monitoring and observability tools including New Relic, Grafana, Prometheus, or ELK Stack for data platform health and performance monitoring
- Familiarity with notebook-based data science workflows and experience supporting data scientists through platform tooling and infrastructure
About PRYPCO — Building the Data Platform for Property Decisions
PRYPCO is a Dubai-based PropTech company building the data-driven infrastructure that powers property decisions at scale. The company’s data engineering team is responsible for designing and operating the systems that make data reliable, trustworthy, and accessible across every function of the business — from product and operations to data science and commercial teams. PRYPCO’s engineering culture values end-to-end ownership, Agile discipline, continuous improvement, and the kind of data engineering craftsmanship that turns complex, messy data problems into elegant, automated, and scalable solutions. Dubai’s fast-growing technology and PropTech ecosystem, combined with a zero-income-tax environment and a globally connected talent network, makes this an exciting time to build a data engineering career at one of the UAE’s most ambitious and technically forward-thinking startups.
Who Should Apply?
- Data Engineers: With strong Python, SQL, and Airflow experience and a track record of designing and maintaining ETL pipelines in production environments
- Data Platform Engineers: Who have built internal data platforms, data registries, or data infrastructure serving multiple cross-functional teams
- Snowflake / BigQuery Specialists: With hands-on experience building and optimizing analytics warehouses for business decision-making at scale
- Agile Software Engineers: Who practice TDD, CI/CD, and XP daily and care deeply about code quality, automation, and engineering best practices
- Dubai-Based Tech Professionals: Ready to join a fast-growing PropTech data platform company with end-to-end ownership and real impact from day one
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