Senior Data Engineer

The Company

Our Mission is to empower our clients to be catalysts of ethical change, while delivering better business outcomes through efficient and impactful third-party risk management which drives transparency and elevates ethical standards.

Our Vision is to support businesses globally to operate and govern ethically, with integrity and transparency – ensuring human rights and the environment are respected for the benefit of the global community.

Our Values

The values which make up the business.

• Accountability - to ourselves, our clients, our team and our world. Our actions define us. We own our commitments, while remaining steadfast in our ethical principles We are accountable.
• Empowerment - we trust in and empower our people to ignite creativity, initiative and decision-making to drive innovation and exceed client expectations.
• Collaboration - we trust in and empower our people to ignite creativity, initiative and decision-making to drive innovation and exceed client expectations.
• Diversity, Individuality, vulnerability and diversity are encouraged and celebrated. Open communication inspires courageous action and ensures everyone feels valued.
• Partnership and Client Centricity - we build enduring partnerships with our clients by actively listening to, delivering and exceeding their expectations to power positive change.

Job Summary
Ethixbase360 is hiring a Senior Data Engineer in the Philippines to pioneer our data practice. As a leading third-party risk-management platform that fuses expert services with technology, we're embracing AI ethically, prioritizing governance, observability and auditability over hype. You'll design our modern data stack, build pipelines, shape models and influence policy, laying the foundations of a discipline that will power compliant, transparent innovation worldwide. If you're excited by responsible AI, relish green-field architecture and want to see your work drive integrity, join us and turn vision into scalable reality.

What you will do

Data Platform & Architecture Development

• Design and implement a modern data architecture, incorporating best practices in data governance, security, and scalability.
• Drive the evolution of a data fabric or similar approach to reduce heavy-lift ETL and ensure rapid, flexible data access across the organization.
• Collaborate with leadership and product teams to prioritize high-ROI data initiatives and shape long-term data strategy.
• Work with cross-functional teams like Engineering, Analytics, DevOps and later AI/ML to align data infrastructure with business goals and requirements.

Pipeline & Integration

• Build and maintain highly scalable data pipelines to ingest, process, and transform data from diverse sources (databases, APIs, external files, streaming platforms).
• Support the creation of new and valuable data and insights from existing siloed data sources.
• Use appropriate cloud (AWS, Azure, or Google Cloud Platform) and big data technologies to ensure minimal downtime, data consistency, and efficient throughput.
• Establish robust CI/CD and DevOps practices to automate and manage data pipelines, ensuring quick deployments and updates.

Data Modelling & Governance

• Implement data modelling standards (e.g., dimensional modelling, schema design) that align with the needs of AI, analytics, and Business Intelligence use cases.
• Work with General Council to define data governance (quality, metadata management, access controls, compliance), working closely with stakeholders to ensure data reliability.
• Evaluate tools and processes to manage data quality at scale (catalogues, lineage, data quality checks, etc.).

Technical Leadership & Team Enablement

• Serve as the go-to data engineering expert, collaborating closely with Leadership, Engineering and Product teams to understand data requirements and optimize performance.
• Drive technical roadmaps and mentor junior team members or external consultants, ensuring alignment on best practices and architecture guidelines.
• Research and evaluate emerging data technologies, including data fabric, data mesh, streaming, and real-time analytics, to keep the data platform on the competitive edge.

Scalability & Performance

• Take ownership and accountability of end-to-end performance of data solutions, including query optimization, distributed processing, and caching strategies.
• Proactively identify bottlenecks and drive solutions that meet current and future data needs as we grow, onboard new data sources and identify new use cases.

Who you are

• Educational Background: BS/MS in Computer Science, Information Systems, or related field (or equivalent work experience).
• Experience: 5-7+ years in data engineering roles, preferably in cloud-based environments; proven track record of delivering robust data pipelines.
• Mindset: Proven ability to work in an agile way, with a strong focus on prototyping to prove feasibility and rapid delivery to secure ROI on priority use cases.

• Technical Expertise:

• Proficiency in Python (or similar), SQL, and big data frameworks (e.g., Spark, Hadoop).

• Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud Platform) for data storage, processing, and orchestration.

• Familiarity with data infrastructure such as data warehouses (Snowflake, Redshift, BigQuery), data lakes (S3, ADLS), and lakehouse architectures.

• Data Architecture Exposure: Ability to design and optimize end-to-end data platforms, with knowledge of data modelling (dimensional, transactional, NoSQL) and data governance frameworks.

• Leadership & Communication:

• Experience guiding teams on data best practices and architectural decisions.

• An evident desire to communicate clearly with both technical and non-technical stakeholders, translating business requirements into scalable data solutions.

• Aspirational Architect: Keen to expand into Data Architecture—this role will provide opportunities to own and drive overall data strategy and architecture.

As our first data engineering hire, you will have the opportunity to shape our data strategy, architecture, and technology stack from the ground up. Apply now and build excellence with us.

What else do you need to know

This role sits within the Product and Technology division and will work alongside the Platform, Product, UX teams based in Singapore, Philippines, US and the UK.

This job description does not provide all the duties and responsibilities for this role. It is expected the role holder will undertake duties as needed and directed by the manager and the company.

We provide competitive compensation and a professional atmosphere. This is a collaborative and inclusive work environment where individuals strong on aptitude and positive attitude will have opportunities to grow their professional careers through working with some of the most advanced technology and talented developers in the business.

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We promote information security.