Lead Data Engineer

Roles & Responsibilities

ABOUT THE JOB

• Design and implement scalable data architectures and pipelines.
  
  
• Build, optimize, and maintain data models to support advanced analytics and reporting.
  
  
• Collaborate with data scientists, analysts, and business stakeholders to define and deliver data-driven solutions.
  
  
• Propose and implement innovative approaches for data storage, processing, and governance.
  
  
• Ensure data quality, security, and compliance across all systems.
  
  
• Monitor and troubleshoot data workflows to guarantee reliability and performance.
  
  
• Lead and mentor junior consultants in best practices for data engineering.
  
  
• Contribute to the definition of long-term data strategy within the organization.
  
  

ABOUT YOU

• Academic background: Engineering schools or equivalent in Computer Science, Data Engineering, or related fields.
  
  
• 7 to 10 years of proven experience in data engineering or related roles.
  
  
• Experience with distributed data processing frameworks (e.g., Spark, Hadoop, Flink).
  
  
• Strong skills in SQL, Python, and cloud-based data platforms (AWS, Azure, or GCP).
  
  
• Knowledge of data warehousing solutions (e.g., Snowflake, BigQuery, Redshift).
  
  
• Familiarity with containerization and orchestration tools (Docker, Kubernetes).
  
  
• Experience with CI/CD and data workflow orchestration (Airflow, Prefect, Dagster).
  
  
• Understanding of data governance, security, and compliance practices.
  
  
• You have the ability to synthesize complex problems and propose actionable solutions.
  
  

Tell employers what skills you have
Airflow
Kubernetes
Azure
Big Data
Pipelines
Hadoop
Data Quality
Data Governance
Data Engineering
SQL
Python
Containerization
Docker
Orchestration
Data Warehousing
Data Strategy