Product / Data Engineer

Product / Data Engineer (Workflow & Automation)

Dar / Urban Intelligence Lab (UIL)

Location:

Work Type:

Company Overview:

Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in over 60 countries with 20,500 professionals, connecting people, places, and communities through innovative solutions to the world's most complex challenges.

About the Urban Intelligence Lab (UIL):

UIL is Dar's data and AI-driven research and innovation unit focused on transforming how cities are understood, planned, and designed. Operating at the intersection of urban analytics, data science, and design, the lab combines massive datasets, advanced models, and automation to deliver real-time diagnostics and scalable insights for clients and partners worldwide.

We seek a Product / Data Engineer to lead the automation and productization of UIL's data science workflows. The successful candidate will be responsible for building scalable pipelines that connect analysis, visualisation, and strategic recommendation outputs, ensuring our processes are efficient, reproducible, and ready for large-scale deployment.

Key Responsibilities

• Implement and maintain scalable data pipelines for geospatial and mobility workflows.
• Convert Python-based proofs of concept (PoCs) and analytical notebooks into production-ready backend code.
• Manage and optimise spatial databases (PostgreSQL/PostGIS) for large datasets.
• Automate data ingestion, transformation, and reporting processes to streamline delivery.
• Collaborate with data scientists to deploy analytical models and services via APIs (FastAPI, Flask).
• Maintain and enhance Azure-based infrastructure, including data storage, version control, and CI/CD workflows.
• Ensure all code and outputs are well-documented, reproducible, and standardised.
• Contribute to internal workflow automation and cloud-native development initiatives.

Qualifications and Experience

• Bachelor's or Master's degree in Computer Science, Software Engineering, Geoinformatics, or Data Science.
• 37 years of professional experience in Python-based data engineering or backend development.
• Strong programming skills in Python, with experience using key libraries such as pandas, GeoPandas, SQLAlchemy, and FastAPI/Flask.
• Hands-on experience with PostgreSQL/PostGIS for managing and querying spatial data.
• Familiarity with cloud environments (preferably Azure) and version control systems (Git).
• Solid understanding of ETL concepts, data workflow design, and deployment best practices.
• Ability to collaborate with data scientists to translate analytical logic into maintainable, production-ready systems.

Desirable Skills

• Experience with workflow orchestration tools (e.g., Airflow, Prefect, or similar).
• Knowledge of containerisation (Docker) and CI/CD pipelines.
• Exposure to big data frameworks (Dask, PySpark, DuckDB, or similar).
• Familiarity with API integration and automated reporting or visualisation workflows (e.g., Power BI, Jupyter).
• Interest or prior experience in urban analytics, mobility data, or spatial data processing.

Kind Note:

While we carefully review all applications, only candidates meeting the specified requirements will be contacted for further consideration. We appreciate your understanding and thank all applicants for their interest.