Lead Data Engineer responsible for driving data initiatives at Lennar, one of the nation's leading homebuilders. Manage projects, ensure scalability, and collaborate with stakeholders to meet organizational goals.
About the role
- Consultant / Senior Consultant in Data Engineering & Data Science contributing to data solutions. Collaborating with cross-functional teams in a hybrid environment in Germany.
Responsibilities
- As a Consultant / Senior Consultant in Data Engineering & Data Science, you will work hands-on to design, develop and operationalize modern data and analytics solutions
- You will contribute across the entire lifecycle — from data ingestion and transformation through analytics and machine learning to production operations
- Collaborate closely with data engineers, data architects, data scientists and business stakeholders to deliver scalable, reliable and value-creating data solutions in complex client environments
- Apply data-science and machine-learning methods to solve real business problems
- Work with structured and semi-structured data in data lakes, lakehouses and data warehouses
- Develop and optimize data transformations for analytical and machine-learning workloads
- Support the production deployment of data and ML solutions, including monitoring and optimization
Requirements
- At least 3 years of relevant professional experience in data engineering, data science or analytics
- Hands-on experience delivering data and analytics solutions in project-based or client-facing environments
- Strong problem-solving skills and a pragmatic, execution-focused approach
- Experience building end-to-end data pipelines (ingestion, transformation, storage)
- Solid understanding of data modeling, data transformations and feature engineering
- Experience with cloud-based data platforms, e.g.:
- Azure, AWS or GCP
- Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric
- Understanding of CI/CD concepts and production-ready deployments
- Experience applying statistical analysis and machine-learning techniques
- Strong programming skills in Python
- Strong SQL skills and experience with relational databases
- Experience deploying or supporting ML models in production environments
- Ability to translate analytical results into business-relevant insights
- Completed bachelor’s or master’s degree in computer science, engineering, mathematics or a related field, or equivalent practical experience.
Job title
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