Senior Data Engineer

About Kape Technologies

Kape is a cybersecurity company focused on helping everyone have a better digital experience with greater privacy and protection. With over 1000 experienced individuals across ten global locations, including the UK, Israel, Germany, Romania, France, the Philippines, USA, Singapore, Hong Kong, and Cyprus, the Kape team is guided by a single mission: to create a more secure and safe world.

Job Summary

We are seeking a highly skilled and hands-on Senior Data Engineer to architect and maintain modern data infrastructure and pipelines.

This is a technical role focused on building a scalable data platform that powers analytics, insights, and agentic workflows to enable data-driven decision making across the company. You will work closely with analysts, product, and engineering teams to design end-to-end data solutions using tools like AWS Redshift, Athena, Snowflake, and other leading cloud platforms.

Core Responsibilities

• Design 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.

• Optimize data models, queries, and storage strategies for performance, scalability, and cost-effectiveness.

• Collaborate with cross-functional stakeholders (analytics, product, payments and finance) 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.

• Develop and maintain infrastructure optimized for both analytics and AI workloads, including transformation and semantic layers.

• Design and monitor agentic flows aimed at democratizing data access for users across the company, ensuring reliability, scalability, and accuracy.

Tech Stack

• 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

Core Requirements

• 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