At a Glance
- Tasks: Develop data products and solutions using cutting-edge Databricks architecture.
- Company: Join a dynamic real estate tech company with a focus on innovation.
- Benefits: Flexible hybrid working, personal development opportunities, and extra leave for social projects.
- Other info: Inclusive workplace with strong community spirit and international exposure.
- Why this job: Make an impact in AI and data engineering while collaborating with diverse teams.
- Qualifications: Experience in data engineering, Databricks, SQL, and Python; passion for AI is a plus.
The predicted salary is between 51750 - 63250 £ per year.
As a highly skilled and hands-on Data Engineer (m/f/d) you will play a key role in our technology team.
Responsibilities:
- Develop data products and solutions across all layers of the Databricks medallion architecture (raw, cleaned, core and serving layer).
- Build and maintain robust, scalable ingestion and transformation pipelines.
- Model core data structures and serving datasets for reporting, analytics and AI use cases.
- Implement data quality checks, lineage and data governance (e.g. Unity Catalog).
- Integrate structured data and documents into the platform so they can be used by AI agents.
- Work closely with business functions and AI engineers to turn data needs into reliable data products.
Requirements:
- Several years of experience as a data engineer.
- Hands-on experience with Databricks (Delta Lake, Unity Catalog, Workflows), ideally with medallion architectures.
- Sound knowledge of data modelling concepts (e.g. dimensional modelling, Data Vault).
- Engineering discipline in Git, CI/CD, testing and documentation.
- Experience writing and reviewing production code in SQL and Python (PySpark).
- Strong interest in AI and the motivation to grow into AI engineering topics.
- Good business understanding and communication skills; fluent English.
Desirable:
- German and real estate or financial data experience are a plus.
Conditions:
- Flexible working: A hybrid working model with an average of two remote working days per week.
- Personal Development: Extensive internal training and development opportunities via our PATRIZIA Academy.
- International & inclusive environment: An inclusive, equal-opportunity workplace within an international company, actively promoted by our ED&I Council.
- Time for social engagement: Two additional days’ leave, e.g. for projects run by our PATRIZIA Foundation.
- Strong community spirit: Active employee initiatives and networks.
Data engineer in real estate in London employer: Patrizia
PATRIZIA is an exceptional employer that fosters a dynamic and inclusive work culture across its locations in Copenhagen, London, Hamburg, Frankfurt, Augsburg, and Luxembourg. With a strong focus on employee growth through initiatives like the PATRIZIA Academy and various resource groups, we offer a competitive remuneration package and a hybrid working environment that promotes work-life balance. Join us to make a meaningful impact in the real estate investment sector while enjoying health benefits and extra paid holidays for social engagement.
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We think you need these skills to ace Data engineer in real estate in London
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
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