Senior Analytics Engineer

HousingAnywhere is Europe’s largest mid-term rental platform. With Kamernet and Studapart under its umbrella, it represents three fast-growing brands with over 30 million yearly unique visitors combined, 160,000+ properties available for rent, and 100,000+ tenants securing their new homes. HousingAnywhere serves young professionals and students, primarily aged between 18 and 35, connecting them with accommodation providers through its advanced technology platform. Headquartered in Rotterdam, HousingAnywhere operates in most European cities and has expanded to key cities in the US, establishing a presence in over 125 cities. Driven by the mission to enable people to live wherever and however they choose, the company employs 340 professionals globally.

Our Mission

Rent Easy, Live Free.

We empower people to live wherever and however they choose, finding comfort and peace of mind on the other side of the world or town. We create a new standard of renting: safe, harmonious, with more options and less hassle, aided by our trusted networks of landlords and partners.

Our Values

• Ownership
• We are Enablers
• We are Changemakers
• We are Connectors

The Team

This role is part of the Analytics Engineering team, within the Data Science & Engineering organization. This team has the mandate to democratize access to insights by building Data Models in our Enterprise Data Warehouse.

Our Stack

Our data warehouse is powered by Snowflake. Our data pipelines use Stitch, dbt cloud, and Airflow. We prefer Rudderstack as our CDP. For visualization, we use Tableau and Mixpanel for Product Analytics.

Your Role & Impact

As an Analytics Engineer, you will translate data needs from stakeholders into architecting, building, and maintaining efficient & reliable data models and pipelines.

• Partner with business stakeholders, BI analysts, and engineering team members to collect data needs and translate these into functioning pipelines and data models.
• Build and maintain efficient & reliable data models and pipelines for both external and internal data in collaboration with data engineering.
• Perform root cause analysis in case of issues in data production processes.
• Ensure colleagues can optimally use the data models via documentation, training, and monitoring of best practices.

Your Profile

• At least 5 years of experience in building data marts/data models and performing ad-hoc analysis on large datasets.
• At least 2 years of experience working with dbt.
• Strong knowledge in SQL and Data Modelling.
• Good business modeling skills to transform stakeholders' requirements into an actual data model.
• Software engineering experience in a programming language, preferably Python.
• Experience using code repositories is highly desirable.
• Experience using a data visualization tool is a plus.
• Preferable EU-based candidates.

What’s in it for You

• Diverse international community (46+ nationalities).
• Hybrid working policy with 2 days in the office.
• Unlimited paid holidays.
• 1,000 EUR personal development budget.
• Complete coverage for commuting.
• Personal equipment including laptop and ergonomic setup.
• 30% ruling application assistance.
• Gym membership discount with GoVital or OneFit.
• Variable pension scheme.
• Dutch/English classes budget.
• Fun team-building and after-work drinks every Friday.

If you have further questions, please email y.kaboorappan@housinganywhere.com