Senior Data Engineer
Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Jul 7, 2026.
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
Deep proficiency in Snowflake or AWS Redshift
Strong programming skills in Python and SQL
Hands-on experience building LLM-powered applications or workflows in a production environment for analytical use cases, for example ‘ask your data’ interfaces
Experience with pipeline orchestration tools (Airflow, Glue, dbt)
Solid understanding of data modeling, schema design, and ETL/ELT processes
Strong analytical, problem-solving, and communication skills
Ability to work cross-functionally and mentor others
Experience in high-growth, product-led, or SaaS environments
Nice to Have
Familiarity with AWS infrastructure and DevOps practices
Knowledge of data privacy and security standards (GDPR, SOC2)
Solid understanding of agent architectures (tool use, planning, memory management), prompt engineering and evaluation