As a Data Analytics Engineer (m/f/d) at Reneo Group, you will be responsible for improving and scaling our current Data Warehouse infrastructure. In this role, you will work closely with business stakeholders to provide valuable data insights and maintain our reporting infrastructure. We are looking for a Data Analytics Engineer with at least 2-3 years of experience who will seize the opportunity to work at the intersection of data engineering and analytics in a high-growth company, making a real impact on sustainable real estate development.
Your mission
Design, build, and maintain scalable data warehouse solutions on GCP platforms
Collaborate with the ML team to enhance and scale our current data infrastructure
Work directly with business stakeholders, including founders, to translate business needs into data solutions
Develop and maintain business intelligence dashboards and reports using Looker
Implement data modeling best practices
Ensure data quality, reliability, and consistency across all data pipelines
Optimize data flows and query performance for both internal and external data sources
Collaborate with engineering teams to integrate various data sources into the data warehouse
Support data-driven decision-making across the organization
Document data architecture, data models, and analytics processes
Your profile
2-3 years of professional experience in data engineering, analytics, or a related field
Strong experience with cloud platforms, particularly GCP and/or AWS
Proficiency in data warehouse design, implementation, and maintenance
Hands-on experience with BI tools, especially Looker
Experience with modern data tools like BigQuery, DBT, Airflow, and Airbyte
Solid SQL skills and data modeling expertise
Ability to work with various data sources and integrate them effectively
Knowledge of Python is a plus
Excellent communication skills to work effectively with technical and non-technical stakeholders
Problem-solving mindset and ability to work independently