Senior Data Engineer

About the Role

Join Version 1's Data & AI Practice as a Senior Data Engineer to design, build, and operate scalable cloud-native data solutions for enterprise clients. You will lead production-grade ETL/ELT pipelines on AWS (including Azure exposure), leveraging Databricks, PostgreSQL, Aurora, Spark, Python, Java, and SQL.

Key Responsibilities

• Design and deploy secure, tested, and cost-efficient data platforms enabling analytics and AI at scale.
• Benchmark performance, ensure reliability in live environments, and optimize batch/streaming workflows.
• Collaborate cross-functionally with analysts, scientists, and platform teams while mentoring junior engineers.

Qualifications

• +5 years hands-on experience building production data pipelines.
• Expertise in Databricks, distributed systems, cloud-native architectures (AWS), and CI/CD practices.
• Solid grasp of data modeling, quality assurance, and troubleshooting complex issues.

Nice to Have

• Moving into ML/AI/GenAI workloads via robust data foundations.
• Experience with modern BI tools or regulated/security-conscious environments.
• Consulting/client-facing delivery backgrounds.

Why Version 1?

We offer a comprehensive benefits package including profit-sharing, flexible remote/hybrid work, financial wellbeing (pension, healthcare), wellness programs (gym discounts, mindfulness), and educational support for certifications. We are an equal opportunities employer committed to diversity, inclusion, and building respectful workplaces where everyone thrives.