Senior Data Engineer, Appnovation

• 7+ years of experience in data engineering and/or data architecture roles
• Strong experience with at least one cloud data warehouse
• Experience designing data pipelines across batch, streaming, or event-based architectures
• Data modeling expertise, including dimensional modeling and conceptual, logical, and physical model design
• Strong SQL skills, including window functions, CTEs, query optimization, and performance tuning
• Proficiency in Python for data engineering tasks
• ETL/ELT pipeline development experience using modern tools (e.g. dbt, Airflow, or similar)
• Cloud platform experience (GCP, AWS, or Azure), including cloud storage and data lake services
• Familiarity with event streaming platforms (Kafka, Pub/Sub, or similar)
• Practical understanding of data governance, quality, and lineage practices
• Experience with or interest in AI-assisted development tools
• CI/CD experience for data pipelines, including testing strategies for data transformations
• Experience working with Docker and containerized environments

Desirable

• Appnovation is seeking a Senior Data Engineer who combines architectural thinking with hands-on delivery
• We’re looking for someone who can design robust data architectures and build the pipelines that bring them to life
• In this role, you’ll help organizations transform fragmented data landscapes into unified, reliable platforms
• You’ll work with modern cloud data technologies, contribute to the data foundations that support AI/ML initiatives, and play a key role in shaping how data is modeled, moved, and trusted across systems
• This is a hands-on role with architectural ownership — ideal for someone who enjoys both designing data systems and implementing them in practice
• You think architecturally about data, looking beyond individual pipelines to the broader ecosystem of how data flows, transforms, and creates value
• You’re equally comfortable whiteboarding data models and writing code to implement them
• You’re curious about how AI and ML are influencing data engineering, including areas like RAG architectures and vector databases
• You care deeply about data quality, governance, and lineage, and understand why trustworthy data is foundational
• You communicate effectively with both technical teams and business stakeholders, translating data capabilities into meaningful outcomes
• You approach legacy system consolidation as a problem to solve, not a burden, and enjoy bringing structure to complexity
• You stay current with the evolving data ecosystem and enjoy evaluating new tools and approaches