Himalayas · Partner listingData Privacy Security Engineer
Bjak
⌖ United KingdomSalary not providedRemoteNot specified · Full-time
Source: Himalayas ↗
Location & working arrangementWorking arrangement is supplied by the provider. Check the original advert for attendance and travel requirements.
Provider location / applicant eligibility: United Kingdom
About the role
About BJAK
The original mission of BJAK is we believe people deserve smarter ways to plan, save and grow their money. This is the origin of our name.
Started in 2019, we built the first mobile-first, insurance platform, enabling insurance to be accessible online by millions in the region. Today, its the leading insurance platform in Southeast Asia.
Today, we are expanding ways to help people in the region — this includes spending, saving, investing, exchanging, travelling, and more. Our mission is help people get more from their money every day.
We have teams working around the world, with over 20 nationalities from our offices and remotely, who truly enjoys their work. We are looking for the most talented and driven people we can find. We are looking for people who work for their passion, not counting hours. Who loves building great next-generation products, not status quo. Who cares about redefining how everyone around us can get the best financial applications, not for an exclusive few.
If you're this person, we'd love to talk to you.
The Role
Protect BJAK's sensitive customer and business data across products, data platforms, and third-party services. Partner with Data, Engineering, Product, Legal, and Compliance to apply privacy-by-design and reduce risks.
What You Will Build
Protect sensitive data across collection, processing, storage, sharing, retention, and deletion.
Map data flows and assess privacy and security risks across applications, analytics, integrations, and third-party providers.
Implement encryption, tokenization, masking, anonymization, retention, and least-privilege data access controls.
Work with data engineering teams to secure pipelines, databases, warehouses, and cloud data services on AWS and GCP.
Assess customer data shared with third-party AI model vendors and define minimization, approved use, retention, and access controls.
Own data and privacy controls for SC TRM and BNM RMiT, including assessments, evidence, remediation, and audit support.
Support privacy impact assessments, access reviews, monitoring, incident response, and privacy-by-design reviews.
What We Look For
Degree in Computer Science, Information Security, Data Engineering, or related field, or equivalent experience.
3+ years in data security, privacy engineering, security engineering, or data platform engineering.
Experience implementing and owning SC TRM and BNM RMiT controls relevant to data protection and technology risk.
Understanding of privacy-by-design, data classification, retention, access management, and third-party data sharing.
Knowledge of encryption, key management, masking, tokenization, anonymization, and secure data processing.
Experience securing databases, data pipelines, and AWS or GCP data platforms; familiarity with AI vendor data flows is beneficial.
Familiarity with applicable privacy and security frameworks and ability to collaborate across technical and compliance teams.
Language
English is our main working language across global teams. Strong English communication is required.
Originally posted on Himalayas
Skills mentioned in the listing
AuditAWSGoogle CloudIncident responseData engineeringData protection
Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.
Why these skills appear
Audit · mentioned
rols for SC TRM and BNM RMiT, including assessments, evidence, remediation, and audit support. Support privacy impact assessments, access reviews, monitoring, incident response, and privacy-by-design reviews. What We
AWS · mentioned
ng teams to secure pipelines, databases, warehouses, and cloud data services on AWS and GCP. Assess customer data shared with third-party AI model vendors and define minimization, approved use, retention, and access co
Google Cloud · mentioned
to secure pipelines, databases, warehouses, and cloud data services on AWS and GCP. Assess customer data shared with third-party AI model vendors and define minimization, approved use, retention, and access controls.
Incident response · mentioned
udit support. Support privacy impact assessments, access reviews, monitoring, incident response, and privacy-by-design reviews. What We Look For Degree in Computer Science, Information Security, Data Engineering, or
Data engineering · mentioned
anonymization, retention, and least-privilege data access controls. Work with data engineering teams to secure pipelines, databases, warehouses, and cloud data services on AWS and GCP. Assess customer data shared wit
Data protection · mentioned
. Experience implementing and owning SC TRM and BNM RMiT controls relevant to data protection and technology risk. Understanding of privacy-by-design, data classification, retention, access management, and third-part