Lead Data Engineer

Technologies we use

Your responsibilities

• Oversee the design and implementation of robust, scalable, and reliable data systems, ensuring high performance and alignment with business goals.
• Collaborate with cross-functional teams to understand data requirements and translate them into effective data architecture and engineering solutions.
• Develop and manage software processes that facilitate seamless data movement between data warehouses, data lakes, and other internal systems.
• Design and optimize ETL (Extract, Transform, Load) pipelines to prepare high-quality data for various stakeholders.
• Design and build Data Ingestion frameworks, data quality frameworks and an integrated audit system.
• Implement data quality assurance processes to identify and resolve data inconsistencies and issues.
• Establish data governance practices to maintain data accuracy, integrity, and security.
• Analyze data to derive meaningful insights that support data-driven decision-making.
• Communicate findings and recommendations to stakeholders effectively.
• Serve as a technical authority in data engineering, staying updated on industry trends and best practices.
• Provide guidance and mentorship to junior Data Engineers, fostering their professional development.
• Facilitate knowledge sharing, collaboration, and continuous improvement within the team.

Our requirements

• A relevant Bachelors or higher-education degree in Computer Science, Data Science, or related fields.
• 5+ years of experience in data engineering, with a proven track record of designing and implementing scalable, high-performance data systems.
• Proficiency in SQL, Python, or other relevant programming languages.
• Strong understanding of data warehousing concepts and cloud-based data platforms (e.g., AWS, Azure, GCP).
• Expertise in designing and implementing ETL processes, data modeling, and database management.
• Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and data integration tools.
• Excellent problem-solving, critical thinking, and analytical skills.
• Excellent communication, collaboration, and leadership skills.
• Significant experience in leading small teams of Data Engineers and fostering their professional growth.
• Demonstrated ability to collaborate with cross-functional teams and communicate technical solutions effectively.

What we offer