Senior Data Engineer

Back to all rolesSenior Data EngineerApplyJob detailsDepartment / Data Engineering & InsightsSingaporeFull-timeAbout Kape TechnologiesKape 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 SummaryWe 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 ResponsibilitiesDesign 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 StackLanguages & 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 BICore RequirementsBachelor's or Master’s degree in Computer Science, Engineering, or related field5+ years of experience as a Data Engineer, with a strong focus on data pipeline development and data warehousingDeep proficiency in Snowflake or AWS RedshiftStrong programming skills in Python and SQLHands-on experience building LLM-powered applications or workflows in a production environment for analytical use cases, for example ‘ask your data’ interfacesExperience with pipeline orchestration tools (Airflow, Glue, dbt)Solid understanding of data modeling, schema design, and ETL/ELT processesStrong analytical, problem-solving, and communication skillsAbility to work cross-functionally and mentor othersExperience in high-growth, product-led, or SaaS environmentsNice to HaveFamiliarity with AWS infrastructure and DevOps practicesKnowledge of data privacy and security standards (GDPR, SOC2)Solid understanding of agent architectures (tool use, planning, memory management), prompt engineering and evaluationUpload your resume to autofill the applicationUploadFirst name *Last name *Email *Dial code *Phone number *LinkedIn profile *Please upload your resume (preferably as a PDF file) *Click or drag file to uploadSupported file format: .PDF; Maximum file size: 10.49 MB; Maximum file: 1;Application QuestionsAre you currently based in the listed location of the role? *YesNoDo you require visa sponsorship to work in the location listed for the role? *YesNoWhat is your expected base compensation per month? *Your answerThis role is primarily office based and requires at least 4 days in the office per week. Are you comfortable with this...