Professional Services Data Engineering Team Lead (Hands-On)

Reports to: Head of Professional Services

Location: Herzliya / Hybrid

About Verix

Verix provides AI-driven and data warehouse solutions for leading commercial Life Science organizations. Our proprietary analytics platform empowers customers to quickly build data-driven applications that solve complex commercial operations challenges.

We partner with some of the world’s largest Life Science companies, delivering advanced analytics and actionable insights that drive smarter decisions.

About the Role

We’re looking for a hands-on Data Engineering Team Lead to join our Professional Services group.

In this role, you’ll lead a small team of data engineers and work directly with global customers to design, build, and deliver advanced analytics and BI solutions.

If you’re a technically strong data engineer with leadership experience and a passion for solving business problems through data — this role is for you.

What You’ll Do

• Work directly with customers to understand business needs and translate them into data-driven solutions
• Lead and mentor a small team of professional services data engineers
• Design and implement data pipelines, schemas, and analytical models (AI and BI solutions)
• Manage ETL processes, reporting, queries, and data analysis
• Ensure delivery excellence and solution quality for global Life Science customers
• Solve complex data and technical challenges in dynamic environments

Requirements:

• 5–8 years of experience as a Senior Data Engineer or Team Lead
• Proven experience leading analytics or data engineering projects for external (international) customers – a must
• Strong SQL development and data modeling skills
• Hands-on experience with large-scale data warehouse and BI environments
• Solid ETL development experience and familiarity with complex datasets
• Strong problem-solving and analytical mindset with a business-oriented approach
• Excellent communication skills in English (written and spoken)
• Bachelor’s degree in Computer Science, Industrial Engineering, or a related field

Nice to Have:

• Experience with Redshift / Postgres or Azure Synapse
• Familiarity with AWS / Azure environments
• Experience with Power BI or similar visualization tools
• Background in Life Science / Pharma analytics
• Working on AI solutions