Senior Data Engineer

• Design build and evolve Data Warehouses Data Marts and enterprise data models to support analytics and business decision-making
• Design implement and optimize scalable ELT pipelines and data processing solutions ensuring reliability performance and maintainability
• Drive technical decisions related to data architecture platform evolution data modeling approaches and integration patterns
• Establish and maintain data governance practices metadata standards data lineage security controls and access management policies
• Ensure data quality observability monitoring and operational excellence across the data platform
• Evaluate and introduce technologies tools and best practices that improve platform scalability efficiency and maintainability
• Support and enhance self-service analytics capabilities through Apache Superset and other BI solutions
• Collaborate closely with BI Engineers Business Analysts and business stakeholders to align data platform capabilities with organizational goals
• Mentor Data Engineers conduct technical reviews and promote engineering best practices across the team
• Apply AI-assisted engineering practices to improve development efficiency delivery quality and platform sustainability

Qualifications :

• 5 years of experience in Data Engineering with a proven track record of delivering complex data platform and analytics solutions
• Strong expertise in SQL Python relational databases and data modeling techniques for Data Warehouses and Data Marts
• Hands-on experience designing and implementing enterprise-scale ELT pipelines and data processing solutions
• Strong understanding of data architecture data warehousing dimensional modeling and analytical data platforms
• Experience with orchestration and workflow management tools such as Dagster Airflow or similar platforms
• Strong knowledge of data governance metadata management data lineage security and access control models
• Experience designing and optimizing analytical workloads reporting systems and self-service analytics platforms
• Understanding of data quality management monitoring observability and operational best practices for data platforms
• Experience with analytical databases and performance optimization techniques (e.g. ClickHouse or similar technologies)
• Strong knowledge of database fundamentals including indexing normalization transactions and query optimization
• Hands-on experience in database development data modeling and analytical system design
• Solid understanding of enterprise data architecture principles and modern data platform approaches
• Strong AI-assisted engineering skills and practical experience using AI tools to improve development efficiency and solution quality
• Strong communication skills and ability to collaborate effectively with technical and non-technical stakeholders
• Intermediate English or higher

WILL BE A PLUS

• Experience with Apache Superset Power BI or other BI and visualization platforms
• Experience with real-time or event-driven data processing solutions
• Experience building internal data platforms and self-service analytics capabilities
• Experience leading engineering teams or acting as a technical lead

Additional Information :

PERSONAL PROFILE

• Proactive and ownership-driven mindset with a focus on long-term platform sustainability
• Strong analytical and problem-solving skills with attention to detail and data quality
• Ability to communicate complex technical concepts in a clear and structured way
• Collaborative team player comfortable working with cross-functional stakeholders
• Continuous learner interested in modern data engineering practices and AI-assisted development

Remote Work :

Yes

Employment Type :

Full-time