We are seeking a highly skilled and hands-on Senior / Lead Data Engineer to architect and maintain modern data infrastructure and pipelines, while leading a small, high-performing team. This is a technical leadership role focused on building scalable data platforms that power analytics, insights, and data-driven decisions across the company. You will work closely with analysts, data scientists, product, and engineering teams to design end-to-end data solutions using tools like AWS Redshift, Athena, Snowflake, and other leading cloud platforms.
What You’ll DoDesign and build scalable data pipelines to ingest, process, and store large volumes of structured and unstructured data from diverse sources.
Develop and maintain robust data warehouse architectures leveraging tools such as AWS Redshift, Athena, and Snowflake.
Lead and mentor a small team of data engineers, promoting high standards of technical excellence, documentation, and team collaboration.
Optimize data models, queries, and storage strategies for performance, scalability, and cost-effectiveness.
Collaborate with cross-functional stakeholders (analytics, product, ML) to gather requirements and deliver data solutions that support business goals.
Ensure data quality, security, and privacy through best practices in governance, testing, and monitoring.
Own and operate production data workflows, resolving incidents and ensuring reliability.
Stay up-to-date with the latest trends and advancements in data engineering and analytics.
Languages & Tools: Python, SQL
Data Warehousing & Query Engines: Snowflake, AWS Redshift, Athena
Pipeline & Orchestration: Apache Airflow, AWS Glue, dbt
Cloud & DevOps: AWS (Lambda, S3, IAM), Docker, Terraform
Streaming : Kafka, Kinesis
BI & Analytics: Tableau, Power BI
Bachelor's or Master’s degree in Computer Science, Engineering, or related field.
5+ years of experience as a Data Engineer, with a strong focus on data pipeline development and data warehousing.
Deep proficiency in AWS Redshift, Athena, Snowflake, and experience working with large-scale data systems.
Strong programming and scripting skills in Python, SQL, and Shell.
Experience with pipeline orchestration tools (e.g., Airflow, Glue, dbt).
Solid understanding of data modeling, schema design, and ETL processes.
Familiarity with cloud infrastructure and DevOps practices (especially AWS).
Experience with BI platforms like Tableau or Power BI.
Excellent analytical and problem-solving skills.
Strong communication and leadership skills with the ability to work across functions and mentor others.
Knowledge of data privacy and security best practices (e.g., GDPR, SOC2).
Exposure to MLOps and ML data pipelines.
Experience in high-growth, product-led or SaaS environments.
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- 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.
