Senior Data Engineer

Laivly is an innovative company focused on enhancing customer service technology through artificial intelligence and digital automation. They are seeking a Senior Data Engineer to design, build, and scale data systems that support reporting, analytics, and machine learning initiatives, while collaborating with various teams to ensure data-driven decision-making across the organization.

Responsibilities:

• Build cloud-based data ingestion pipelines from multiple sources
• Develop scalable ETL processes and data integration workflows
• Create APIs and endpoints that integrate data across internal and external systems
• Structure and optimize datasets to support reporting, analytics, and development lifecycle
• Design and document data models, sources, and ingestion techniques
• Ensures system design facilitates good data hygiene, reliability, and observability across all systems and pipelines as well as pushes data quality as a critical feature
• Partner with Data Science and business teams to discover and organize data across distributed systems
• Support downstream stakeholders by delivering well-structured and accessible datasets
• Contribute to Agile development processes and continuous improvement initiatives
• Experiment with new tools, technologies, and approaches to improve our data ecosystem
• Share ideas and contribute to the ongoing evolution of Laivly’s data platform

Requirements:

• 8-10+ years of experience working with data in SQL environments
• A degree in Computer Science, Mathematics, Statistics, or a related field
• Strong experience with SQL, ETL development, and data integration
• Experience with relational and non-relational databases
• Experience working within a data lake warehouse environment
• Python proficiency (Spark/Flink experience is a plus)
• Experience with C# development (JavaScript experience is a bonus)
• Experience working with cloud-based systems and distributed data platforms
• Familiarity with Agile methodologies, CI/CD pipelines, and process automation
• Strong problem-solving and analytical skills
• Ability to communicate complex data concepts to both technical and non-technical audiences
• Comfort working independently within a small, fast-moving team
• Curiosity, flexibility, and a passion for learning and working with data
• Experience with Trino, Iceberg, Kafka, Airflow, Polaris (considered a bonus)