Data Engineering Manager

This role is based in Tel Aviv and requires working from the office full-time, five days a week.

If you’re passionate about developing people and building scalable, modern data platforms, this could be the role for you. We’re building a world-class, data-driven organization, and at the core of that mission is a high-performance, cloud-native data platform. This platform empowers embedded analysts and enables engineering teams across the company to make timely, data-informed decisions.

As Data Engineering Manager, you’ll lead a team of data and analytics engineers while remaining hands-on with the platform itself. You’ll work with large-scale datasets that power both automated systems and human decision-making, acting as a central connector between data producers and consumers across the organization.

What You’ll Do

People Leadership

• Lead, coach, and mentor a team of data engineers and analytics engineers

• Support career development through regular 1:1s, feedback, and growth plans

• Remove technical and organizational blockers to help the team succeed

• Participate in hiring and onboarding to build a strong, effective team

Technical Leadership

• Architect, build, and maintain a scalable data platform for ingestion, anonymization, and enrichment of data

• Deliver high-quality analytical datasets using analytics engineering best practices

• Partner closely with internal stakeholders to translate business needs into technical solutions

• Proactively identify risks and resolve dependencies across teams

• Provide tooling, documentation, and guidance to data consumers across the company

What We’re Looking For

• 5+ years of experience in data engineering or analytics engineering

• At least 2 years of experience managing and leading a team (performance reviews, 1:1s, mentoring, career planning)

• Strong hands-on experience with SQL and Python

• Deep experience designing and maintaining data models in large-scale data warehouses

• Proven ability to design reliable, testable data pipelines

• Experience building and operating data systems in cloud environments (AWS preferred)

• Strong understanding of software engineering best practices, including version control and CI/CD

• Excellent communication skills, with the ability to explain technical concepts to diverse audiences

Nice to Have

• Familiarity with BI tools such as Tableau or Power BI

• Experience with Apache Airflow and dbt

• Experience using Terraform or other infrastructure-as-code tools

• Knowledge of data privacy and security principles in production systems

Before you apply

• At the moment, we do not sponsor visas in the EU. For Hong Kong, we require at least two years of working experience and a university degree in a related field. For Singapore and the UK, we can only sponsor visas for mid-career or above.

• Please upload your resume as a PDF and do not include any salary or compensation information in it.

ExpressVPN is one of the world’s leading providers of online privacy and security services for consumers. Started in 2009, we’ve grown to have millions of active paying customers, a team of more than 700 people worldwide, and a brand recognized by hundreds of millions of people in 18 languages and more than a hundred countries. We see huge growth in our industry, and are gaining market share through strong execution.