DevOps/Data Engineering/Compliance (Remote)

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DevOps/Data Engineering/Compliance (Remote), London

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Client:

MLabs

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

6e58bbc3d1e3

Job Views:

5

Posted:

02.05.2025

Expiry Date:

16.06.2025

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Job Description:

Our client is looking for a DevOps & Data Engineer with a strong focus on compliance to help us scale and secure our infrastructure while ensuring compliance with GDPR, ISO 27001, and other relevant regulations.

This role will bridge the gap between DevOps, Data Engineering, and Security Compliance. The role involves designing and maintaining cloud infrastructure, ensuring data security, compliance, and scalability. You will work closely with product, engineering, and compliance teams to implement secure, privacy-focused data pipelines and DevOps best practices.

Key Responsibilities:

DevOps & Infrastructure:

• Design, implement, and maintain scalable, secure cloud infrastructure (AWS, GCP, or Azure).
• Automate deployments and infrastructure provisioning using Terraform, Kubernetes, Docker, or similar tools.
• Optimize CI/CD pipelines for security and efficiency (GitHub Actions, GitLab CI/CD, etc.).
• Implement observability, monitoring, and logging (Prometheus, Grafana, ELK, or similar).

Data Engineering & Security Compliance:

• Build and maintain secure, compliant data pipelines (ETL, ELT) that integrate with HRMs, psychometrics, and project management tools.
• Ensure data governance and privacy by implementing encryption, anonymization, and access controls.
• Work on data storage, retention, and backup strategies to align with GDPR and ISO 27001.
• Collaborate with compliance teams to implement security best practices (SOC 2, ISO 27001, GDPR compliance).
• Perform regular security audits, risk assessments, and incident response planning.

Requirements

• Strong experience with cloud platforms (AWS, GCP, or Azure) and infrastructure as code (Terraform, Pulumi).
• Proficiency in DevOps tools (Docker, Kubernetes, CI/CD pipelines).
• Knowledge of security best practices (IAM, network security, data encryption, SIEM solutions).
• Experience with data engineering (ETL, data lakes, database management with PostgreSQL, MongoDB, or similar).
• Understanding of compliance frameworks (GDPR, ISO 27001, SOC 2, or similar).
• Familiarity with scripting languages (Python, Bash, or similar) for automation and data processing.
• Bonus: Experience with AI/ML pipelines, HashiCorp Vault, or advanced logging/security tools.
• Work on a meaningful product that makes workplaces more inclusive.
• Fully remote, flexible working culture.
• Opportunity to shape the product and tech stack from an early stage.