Why This Job is Featured on The SaaS Jobs
This BI and Data Warehouse Engineer role sits at the core of how a SaaS business turns product usage, customer activity, and operational signals into decisions. In a domain like EHS and ESG software, reporting credibility and traceable metrics matter, which makes the underlying data models, pipelines, and governance more than a back-office function. The stated collaboration window with Germany also signals a distributed SaaS operating model where data work is tightly connected to day-to-day business questions.
For a SaaS career, the value is in building a repeatable analytics foundation: defining shared KPIs, establishing a single source of truth, and enabling self-service without sacrificing quality. Experience spanning ELT, semantic layers, and BI delivery maps well to many SaaS environments, where teams rely on reliable datasets to evaluate adoption, retention, and operational performance. The emphasis on documentation, lineage, and access control supports a strong “analytics engineering” skill set.
The role is best suited to someone who enjoys structured problem solving and stakeholder partnership, not just dashboard production. It will fit professionals who like owning end-to-end data outcomes, working across time zones with clear overlap, and applying careful judgment when using AI tools in daily delivery.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Location: Cebu City
/ Philippines
Work schedule: 4:00 PM to 1:00 AM local time in Cebu
Passionate personalities wanted for sustainable software
Our mission: We connect, engage and inspire all EHS and ESG stakeholders. With innovative digital solutions, we create clarity and guidance in the fields of occupational safety, environmental management, quality and sustainability. Become part of our vision and help us drive safe and environmentally friendly business practices with state-of-the-art software.
About The Role
As BI & Data Warehouse Engineer, you will help build and maintain the data foundation that enables reliable reporting, analytics and business decision-making across the organisation. Based in the Philippines and working from 4:00 PM to 1:00 AM local time in Cebu, you will ensure a daily 4-hour overlap with Germany from 9:00 AM to 1:00 PM CET. You will design data models, develop data pipelines, maintain BI reports and ensure that business teams have access to accurate, trusted and well-documented data. You will work closely with stakeholders, analysts and technical teams to translate business questions into scalable data solutions and continuously improve our BI and data warehouse environment.
Your Responsibilities
- Design, build and maintain data warehouse structures, semantic models and trusted datasets as a reliable single source of truth.
- Develop and optimise data pipelines, ELT processes and automated data transformations for business-critical reporting.
- Create and maintain dashboards, reports and self-service analytics solutions, especially in Power BI or similar BI platforms.
- Partner with business stakeholders to understand reporting needs, define KPIs and translate requirements into actionable analytics.
- Ensure data quality, consistency, documentation, lineage and appropriate access controls across reporting and analytics solutions.
- Support users with training, documentation and self-service resources to strengthen data-driven decision-making.
- Monitor, troubleshoot and continuously improve reporting processes, data pipelines and BI performance.
- Contribute ideas for modern BI, analytics and data engineering practices in an international technology environment.
- Use AI tools thoughtfully in daily work to improve quality, efficiency, and outcomes, while applying strong judgment, verification, and full ownership of the final result.
What We Offer
- Health insurance covering up to three dependents
- Additional allowances
- Access to a comprehensive learning and development platform
- 25 days of annual leave
- A meaningful role in shaping reliable BI, reporting and data warehouse solutions for a growing international organisation.
- Collaboration with international stakeholders and cross-functional teams in a supportive environment.
- Access to a comprehensive learning and development platform
Your Profile
- 2+ years of experience in business intelligence, analytics engineering, data warehousing or a similar data-focused role.
- Good SQL skills and hands-on experience with data modelling, data warehouses or BI platforms.
- Experience creating dashboards and reports in Power BI, Tableau, Looker or a comparable BI tool.
- Basic experience with ETL / ELT processes, data pipelines and transformation tools such as dbt is an advantage.
- Strong analytical and problem-solving skills with a structured, documentation-oriented mindset.
- High quality standards regarding data accuracy, consistency, governance and access control.
- Professional English proficiency and the ability to communicate clearly with international stakeholders.
- Hands-on attitude and motivation to turn business questions into trusted, scalable data solutions.
- You are confident using AI tools in a professional context, can guide and review AI-generated outputs critically, and take responsibility for the quality and accuracy of your work.
About Us
Quentic, an AMCS Group company, is a leading SaaS provider in the European EHS (Environment, Health, Safety) and ESG (Environmental, Social, Governance) market. With more than 250 colleagues across several locations in Europe, we support companies in implementing safe and sustainable business practices through digital solutions. Our modular cloud platform enables seamless collaboration across departments and countries and ensures efficient, compliant management of safety, environmental and sustainability processes. As part of AMCS Group, a global technology leader for environmental software, Quentic combines the agility of a focused start-up with the strength of an international group.