Data / Analytics Engineer

About Us

Rock.estate is a fast-growing startup founded in Brussels in 2017 and specialized in real estate intelligence. We help banks and insurers better understand and value their customers' real estate properties.

We combine various forms of geo-data processing with statistical modeling and machine learning techniques, and are committed to building a modern data stack that empowers our teams to develop smarter products, automate operations, and enable data-driven innovation.

Position Overview

We’re hiring a versatile data professional with a focus on data and analytics engineering to strengthen our data team. If you are passionate about building scalable data pipelines and platforms, be it as a foundation for data science or towards reliable business insights, we want to hear from you.

You’ll be part of a small, collaborative team working across the full data lifecycle—from ingestion and transformation to modeling, infrastructure, and client-facing analysis. These roles are designed to complement each other and how you contribute to the whole can evolve based on your strengths and interests.

Key Responsibilities

You would be responsible for, or significantly contribute to, data engineering efforts across all needs of our Data and Models team, and analytics engineering in the context of our Data Warehouse in particular.

Typical tasks would include:

* Build and maintain robust, scalable ETL/ELT pipelines (across different use cases, e.g. geo-data pipelines, data warehouse, image processing, etc).

* Load data from various sources (databases, API endpoints, web scraping, etc)

* Develop and maintain orchestration, and automate workflows.

* Contribute to platform decisions around architecture, formats, and performance.

* Monitor and improve data reliability, latency, and quality.

* Design, implement, test and maintain clean data models.

* Collaborate with analysts, business users, and clients to define data needs.

Your Profile

Although your main focus would be data and analytics engineering, at Rock.estate we are generally interested in T-shaped people: deep in one area, broad enough to collaborate across the stack. We’re happy to consider different levels of experience, ranging from medior to more senior profiles. The first list below is a strong requirement, but the way you end up contributing to the team, initially or in the longer-term, might depend on what you can tell us regarding the second list.

Required:

* At least 2 years of relevant experience (relevant studies may qualify). If you’ve got quite some years under your belt, also don’t hesitate to apply.

* Strong SQL and Python (esp. data-oriented libraries like pandas, numpy, sklearn); good grasp of data workflows.

* Experience with data orchestration tools (e.g. Airflow, Prefect, Dagster).

* Comfortable working with the Linux-based systems, version control (e.g. Git), containerization (e.g. Docker) and CI/CD workflows.

Nice to Have:

* Experience with cloud data stacks (AWS, GCP, Azure) and data-related services.

* Familiarity with modern data warehouses, and data modeling, governance and validation tools.

* Practical experience with web scraping, interfacing with REST APIs, and web technologies in general.

* Exposure to geographical data processing

* Familiarity with GenAI tools or APIs, as part of the developer workflow or the product itself.

* Experience with machine learning workflows and MLOps.

* Knowledge of system administration, infrastructure-as-code, cloud orchestration.

* Experience with R&D workflows (Jupyter notebooks, experiment tracking).

* Experience with ad-hoc analysis, dashboards, or client-facing data work.

What We Offer

* Join a dynamic team where FinTech, InsurTech, and PropTech collide

* Benefit from an experienced, dynamic team striving for technical excellence.

* Be part of a flat organization with room for growth and ownership

* Enjoy a flexible schedule and remote-first culture

* Opportunities for professional development in data engineering, data science and beyond.

* Receive a competitive salary & benefits package.