Data Governance and Quality Engineer

1 week ago

Makati Remote, Philippines Savii Full time ₱80,000 - ₱150,000 per year
Innovate with SAVii: Empowering Change Through Technology
About SAVii At SAVii, we're on a mission to transform the employee wellness landscape. Since our founding in 2017 as SAVii PH, we've been reimagining how employee benefits work by offering 360° salary-linked wellness services in emerging markets like the Philippines and India. Our platform empowers HR leaders to support their teams' financial wellness in innovative and tech-driven ways. We're now expanding, and we're looking for technical experts to join us and help drive innovation in the employee wellness space.
Are you ready to build the future of wellness with cutting-edge technology?
Our Culture: Empowering Innovators to Thrive At SAVii, we believe that technology is a key driver of our mission. We're a remote-first company that thrives on flexibility, allowing our technical teams the freedom to work from anywhere while delivering high-impact results. Whether you're building innovative solutions or solving complex problems, we give you the autonomy to create and innovate.
We foster a culture of continuous learning, collaboration, and problem-solving. Every technical team member has the opportunity to bring fresh ideas to the table and play a pivotal role in delivering transformative solutions. Together, we move fast, innovate even faster, and build solutions that will impact lives.
At SAVii, technical excellence and agility are our core strengths. We embrace a mindset of experimentation and iteration, where you can push boundaries, explore new technologies, and grow alongside a team of brilliant innovators.
Job Purpose The Data Governance & Quality (DGQ) Engineer plays a pivotal role in ensuring the accuracy,integrity, security, and availability of data across the organization. This role is responsible for automating and scaling data quality checks, integrating metadata and lineage systems, enforcing governance policies through code, and driving engineering solutions to improve observability, compliance, and trust in data assets.
The engineer works closely with data platform, security, analytics, and business teams to ensure governance and quality principles are built into data pipelines, cloud infrastructure, and tooling ecosystems. Your Impact: What You'll Do
  • Implement & Integrate;
  • Design and develop automated data quality frameworks and validation rules across ETL/ELT pipelines.
  • Build and integrate metadata ingestion, lineage tracking, and data classification tools into data platforms.
  • Leverage modern tools like dbt, Great Expectations, Apache Airflow, or Dagster.
  • Maintain robust system and infrastructure documentation for governance components.
  • Security & Strategies;
  • Enforce RBAC and ABAC through automated IAM configurations and policies.
  • Assist in implementing data masking, tokenization, and encryption strategies.
  • Collaborate on cloud-native security practices including audit logging and permission audits.
  • Quality & Reliability;
  • Perform statistical profiling, anomaly detection, and automated outlier identification.
  • Build observability dashboards for data quality metrics, lineage, and freshness.- Implement and monitor SLAs/SLOs for data quality and reliability.
  • Report & Document;
  • Create and maintain governance policies, data dictionaries, and SLA documents.- Generate data quality and compliance reports.
  • Provide engineering input on audits and issue resolutions.
  • Improve & Iterate;
  • Evaluate and adopt modern governance platforms.
  • Contribute to internal governance tooling libraries.
  • Champion DevOps and DataOps best practices.
  • Support initiatives led by the Head of Data Management & Engineering.
What We're Looking For: Skills & Experience
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field.
  • Strong hands-on experience with SQL, Python, and ETL tools (e.g., dbt, Airflow).
  • Familiarity with data governance frameworks and tools like Collibra, Alation, or Apache Atlas.
  • Deep understanding of data warehousing, metadata management, and cloud-native services.
  • Knowledge of security and compliance protocols (GDPR, HIPAA, SOC2).
  • Excellent analytical and documentation skills.
  • Strong communication and collaboration abilities.
Why Join SAVii? When you join SAVii, you're not just writing code—you're creating the foundation for a platform that will change the way the world thinks about employee wellness. With flexible benefits and opportunities for growth, we ensure that your work helps make a real impact, both on the technology front and in the lives of our users.
Convinced You're the Tech Innovator We Need? Let's Build the Future Together
We're looking for brilliant engineers, problem solvers, and creative thinkers who want to make a real difference. If you're ready to join a fast-growing company and contribute your technical expertise to change lives, we want to hear from you
Apply Now and let's transform lives together We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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