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Data Engineer
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Our Mission: Why Lighthouse?
At Lighthouse, we’re on a mission to revolutionize commercial strategy as hospitality’s most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue.
With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software—they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act.
Lighthouse Values: Our guiding light
We are Lumineers. Our shared values keep us on a collaborative path fostering a cultural and customer centric environment
- Pursuit of greatness: We’re innovators who care deeply about our customers’ success. Our team brings their best work, stays curious, and delivers excellence through attention to detail
- Meaningful work matters: We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward
- Elevate each other: We don’t just work together - we grow together. What unites us is understanding each other as people and working toward shared goals
We’re more than just a workplace – we’re a community. Collaborative, fun, and deeply committed, we work hard together to revolutionize the hospitality sector. Are you ready to join us and shine brighter in the industry’s most exciting rocket-ship? 🚀
Job details
● 💼 Engineering Team
● 📍 Belgium - Ghent
● 🕜 Full-Time/Hybrid
What you will do
As a Data Engineer in our new Data Products team, you will play a key role in shaping the quality and business value of our core data assets. You will be hands-on in designing, building, and maintaining the data pipelines that serve teams across Lighthouse. You will act as a bridge between our data and the business, collaborating with stakeholders and ensuring our data effectively enables its consumers.
Where you will have impact
- Become the expert for key data products, understanding the full data lifecycle, quality, and business applications.
- Design, implement, and maintain the streaming and batch data pipelines that power our products and internal analytics.
- Collaborate directly with data consumers to understand their needs, gather requirements, and deliver data solutions.
- Deliver improvements in data quality, latency, and reliability.
- Show a product engineering mindset, focusing on delivering value and solving business problems through data.
- You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You’ll not only build AI features for our customers but also champion an AI-first development culture within the engineering team.
- Mentor other engineers, sharing your expertise and contributing to their growth.
About our team
The Data Products Team is the definitive source of truth for Lighthouse's data, sitting at the foundational layer of our entire data ecosystem.
Their core mission is to model and deliver high-quality, foundational data products that are essential ingredients for all downstream product features, machine learning models, and data science initiatives across the company:
- Data Modeling & Ownership: Defining and optimizing core data entities for product and analytical use.
- Pipeline Engineering: Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains.
- Data Quality: Establishing standards and monitoring the health of all foundational data assets.
We are the core of the Lighthouse platform. We take ingested data from our Integrations teams, turn it into usable data products, and provide that clean output to both the Product Engineering and Data Science & Analytics teams. We rely on the Data Platform team for infrastructure support and tooling.
What's in it for you?
- Flexible time off: Autonomy to manage your work-life balance.
- Career development: Workshops, frameworks, and trainings to maximize your professional potential.
- Impactful work: Shape products relied on by 85,000+ users worldwide.
- Mobility options: Mobility budget or company car (based on your job category).
- Net allowance: Support for home office related expenses.
- Vouchers: Lunch vouchers & Eco vouchers.
- Comprehensive health insurance: Extensive coverage for you and your dependents.
- Pension funding: Group insurance to secure your future.
- Referral bonuses: Earn rewards for bringing in new talent.
Who you are
- Experience in a data engineering role, with a proven track record of building scalable data pipelines.
- A product engineering mindset, with a focus on understanding business context and stakeholder needs.
- Professional proficiency in Python for data processing and pipeline development.
- Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks.
- You are a forward-thinking builder who views AI as a core component of modern architecture. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.
- Excellent communication and stakeholder management skills.
We welcome
- Experience with microservice architectures and data streaming systems like Kafka or Google Cloud Pub/Sub.
- Familiarity with data governance or data quality tools such as Atlan or Soda.
- Experience mentoring other engineers.
Technologies you will work with
Mostly, but not limited to: GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan (data governance tool), Soda.
#LI-Hybrid
Diversity, equity, inclusion, and belonging
Thank you for considering a career with Lighthouse. We are committed to fostering a diverse and inclusive workplace that values equal opportunity for all. We welcome candidates from all backgrounds, regardless of age, gender, race, religion, sexual orientation, and disability. Our commitment to equality is part of our culture. If you require reasonable accommodation at any point during the application or interview process, please notify your recruiter.
Not ticking every box? No problem! We value diverse backgrounds and unique skill sets, and we encourage individuals from all walks of life to apply. If your experience looks a little different from what we've described, but you're passionate about what we do and are a quick learner, we'd love to hear from you!
Learn more about our careers and recruitment process | Our company and leadership team | Beware of recruitment scams
Ready to apply?
Apply to LighthouseSenior Data Engineer
Share this job
Our Mission: Why Lighthouse?
At Lighthouse, we’re on a mission to revolutionize commercial strategy as hospitality’s most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue.
With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software—they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act.
Lighthouse Values: Our guiding light
We are Lumineers. Our shared values keep us on a collaborative path fostering a cultural and customer centric environment
- Pursuit of greatness: We’re innovators who care deeply about our customers’ success. Our team brings their best work, stays curious, and delivers excellence through attention to detail
- Meaningful work matters: We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward
- Elevate each other: We don’t just work together - we grow together. What unites us is understanding each other as people and working toward shared goals
We’re more than just a workplace – we’re a community. Collaborative, fun, and deeply committed, we work hard together to revolutionize the hospitality sector. Are you ready to join us and shine brighter in the industry’s most exciting rocket-ship? 🚀
Job details
● 💼 Engineering Team
● 📍 Belgium - Ghent
● 🕜 Full-Time/Hybrid
As a Senior Data Engineer in our new Data Products team, you will play a key role in shaping the quality and business value of our core data assets. You will be hands-on in designing, building, and maintaining the data pipelines that serve teams across Lighthouse. You will act as a bridge between our data and the business, collaborating with stakeholders and ensuring our data effectively enables its consumers.
Where you will have impact
- Become the expert for key data products, understanding the full data lifecycle, quality, and business applications.
- Design, implement, and maintain the streaming and batch data pipelines that power our products and internal analytics.
- Collaborate directly with data consumers to understand their needs, gather requirements, and deliver data solutions.
- Deliver improvements in data quality, latency, and reliability.
- Show a product engineering mindset, focusing on delivering value and solving business problems through data.
- You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You’ll not only build AI features for our customers but also champion an AI-first development culture within the engineering team.
- Mentor other engineers, sharing your expertise and contributing to their growth.
About our team
The Data Products Team is the definitive source of truth for Lighthouse's data, sitting at the foundational layer of our entire data ecosystem.
Their core mission is to model and deliver high-quality, foundational data products that are essential ingredients for all downstream product features, machine learning models, and data science initiatives across the company:
- Data Modeling & Ownership: Defining and optimizing core data entities for product and analytical use.
- Pipeline Engineering: Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains.
- Data Quality: Establishing standards and monitoring the health of all foundational data assets.
We are the core of the Lighthouse platform. We take ingested data from our Integrations teams, turn it into usable data products, and provide that clean output to both the Product Engineering and Data Science & Analytics teams. We rely on the Data Platform team for infrastructure support and tooling.
What's in it for you?
- Flexible time off: Autonomy to manage your work-life balance.
- Career development: Workshops, frameworks, and trainings to maximize your professional potential.
- Impactful work: Shape products relied on by 85,000+ users worldwide.
- Mobility options: Mobility budget or company car (based on your job category).
- Net allowance: Support for home office related expenses.
- Vouchers: Lunch vouchers & Eco vouchers.
- Comprehensive health insurance: Extensive coverage for you and your dependents.
- Pension funding: Group insurance to secure your future.
- Referral bonuses: Earn rewards for bringing in new talent.
Who you are
- Experience in a data engineering role, with a proven track record of building scalable data pipelines.
- A product engineering mindset, with a focus on understanding business context and stakeholder needs.
- Professional proficiency in Python for data processing and pipeline development.
- Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks.
- You are a forward-thinking builder who views AI as a core component of modern architecture. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.
- Excellent communication and stakeholder management skills.
We welcome
- Experience with microservice architectures and data streaming systems like Kafka or Google Cloud Pub/Sub.
- Familiarity with data governance or data quality tools such as Atlan or Soda.
- Experience mentoring other engineers.
Technologies you will work with
Mostly, but not limited to: GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan (data governance tool), Soda.
Diversity, equity, inclusion, and belonging
Thank you for considering a career with Lighthouse. We are committed to fostering a diverse and inclusive workplace that values equal opportunity for all. We welcome candidates from all backgrounds, regardless of age, gender, race, religion, sexual orientation, and disability. Our commitment to equality is part of our culture. If you require reasonable accommodation at any point during the application or interview process, please notify your recruiter.
Not ticking every box? No problem! We value diverse backgrounds and unique skill sets, and we encourage individuals from all walks of life to apply. If your experience looks a little different from what we've described, but you're passionate about what we do and are a quick learner, we'd love to hear from you!
Learn more about our careers and recruitment process | Our company and leadership team | Beware of recruitment scams
Ready to apply?
Apply to LighthouseJoining Collibra’s Strategy and Operations team
We're looking for a BI & Analytics Manager to own customer lifecycle analytics within our Analytics & Insights team, part of Collibra's Strategy function. You'll be responsible for understanding how customers adopt, expand, and succeed with Collibra's platform, and for building the analytical foundations that make those insights scalable, governed, and increasingly AI-assisted.
This role sits at the intersection of strategic analytics and the future of how Collibra consumes its own data. You'll own a critical analytics domain end-to-end, from customer health and product adoption through expansion patterns and renewal dynamics. But you'll also help shape how we govern the data and semantic models that underpin those insights, and how we move toward AI-powered self-service analytics. We're building Collibra to be its own first customer for data governance and AI-assisted discovery, and this role is part of that ambition.
You'll report to the Director, Analytics and Insights and be the dedicated analytics partner for our Services leadership, and a key contributor to the cross-functional diagnostic frameworks our executive committee relies on. You'll work within a team that's building a unified, AI-ready data foundation, partnering closely with our Data Office, cross-functional counterparts in RevOps and Product, and senior stakeholders who expect data-driven counsel, not just data delivery.
If you're energized by customer lifecycle analytics, building governed and AI-ready data products, and the opportunity to shape how a data governance company does analytics internally, we want to talk.
This is a hybrid role based in our Brussels office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.
BI & Analytics Managers at Collibra are responsible for
- Own customer lifecycle analytics: health scoring, adoption patterns, expansion signals, renewal dynamics, and everything in between
- Be the analytics partner for Services leadership. Understand their priorities, shape the agenda, and bring insights before they're asked for
- Build diagnostic frameworks that connect product usage to commercial outcomes so leadership can see where customers get stuck or succeed
- Lead analysis from start to finish: gather data, build models, test hypotheses about customer behavior, and communicate findings clearly to stakeholders
- Feed insights into executive reporting with context and narrative, not just numbers
- Work with the Foundation team on the unified customer and product data model. Make sure your domain is well-represented and well-documented
- Champion data governance best practices within the analytics team: maintain clear data documentation, metric definitions, and lineage for your domain, contributing to the semantic layer that enables AI-assisted analytics
- Push the boundaries of our AI analytics tooling. We're already using AI-assisted analysis and we need someone who'll keep finding new ways to make it work harder for the team and for stakeholders
- Use the Collibra platform as part of your daily workflow to document, govern, and share the data products you create. You'll help us understand our own product through the lens of a power user
- Work with cross-functional partners in RevOps, Marketing, and Product to connect the dots across acquisition, adoption, expansion, and renewal
You have
- 5+ years of experience in analytics, business intelligence, or a related field, with a meaningful portion spent on customer success, lifecycle, or post-sale analytics in a SaaS environment.
- Strong SQL skills and experience working with complex data models spanning CRM, product usage, and financial data. You can interrogate data in relational databases and productionalize pipelines using tools like dbt.
- Experience building and maintaining dashboards and diagnostic frameworks in modern BI tools (Tableau, Looker, or similar). You can make data tell the story.
- A track record of serving as an analytics partner to senior stakeholders (VP-level or above), proactively shaping analysis rather than just responding to requests.
- Experience with customer health scoring, cohort analysis, adoption modeling, or renewal forecasting
- Solid understanding of statistics and customer measurement frameworks. You apply appropriate methods to analyze engagement, adoption, and lifecycle dynamics with clarity and rigor.
- An appreciation for data governance: you understand why metric definitions, data documentation, and lineage matter, and you've practiced these disciplines in your work.
- Familiarity with SaaS business models and GTM operations.
- Clear communication skills in English (written and verbal)
- You must have work authorization to work in Brussels, Belgium.
You are
- An analytical thinker who connects data to decisions, not just metrics to dashboards.
- A builder who creates data products to solve problems, not just reports to answer questions.
- Comfortable with ambiguity and building frameworks from scratch.
- Good at making complex analysis simple for a leadership audience.
- Curious about the full customer journey.
- Interested in how AI tooling is already changing analytics and eager to keep innovating with it.
- Someone who sees governance as the foundation for scale, not bureaucracy.
Measures of success
- First month: Complete onboarding and build relationships with Services and cross-functional stakeholders. Develop a strong understanding of the existing customer data landscape, key data sources, and the team's reporting architecture. Get hands-on with the Collibra platform and begin using it to explore and document data in your domain.
- Third month: Own the customer lifecycle diagnostic framework and independently deliver insights for executive reporting. Establish yourself as the trusted analytics partner for Services leadership. Have documented key metric definitions and data sources for your domain in Collibra, and propose at least one initiative to improve lifecycle analytics or governance practices.
- Sixth month: Deliver a major improvement to the end-to-end lifecycle analytics suite. Contribute meaningfully to the customer 360 view connecting product usage to commercial outcomes. Participate in the team's AI analytics pilot with governed data from your domain. Be a daily active user of the Collibra platform, using it to govern and share the data products you've built, and bring product feedback from real usage back to the Product team.
Benefits at Collibra
Collibra recognizes and values that everyone has different needs, interests, and life goals. We built our benefits program with flexibility in mind to support you and your loved ones through a diverse range of circumstances and life events. These flexible offerings sit on a foundation of competitive compensation, health coverage, and time off. Learn more about Collibra’s benefits.
We create inclusion and belonging through how we onboard, meet, connect, engage, and communicate. Learn more about diversity, equity, and inclusion at Collibra.
At Collibra, we’re proud to be an equal opportunity employer. We realize the key to creating a company with a world-class culture and employee experience comes from who we hire and creating a workplace that celebrates everyone.
With this, we proudly consider qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sexual orientation, pregnancy, sex, gender identity, gender expression, genetic information, physical or mental disability, HIV status, registered domestic partner status, caregiver status, marital status, veteran or military status, citizenship status or any other legally protected category. If you have a need that requires accommodation, let us know by completing our Accommodations for Applicants form.
Ready to apply?
Apply to Collibra
Data Engineer - GenAI
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Join Artefact Belgium: Build the Foundation of AI and Data Transformation
Are you an experienced Data Engineer with a passion for building high-performance data pipelines and scalable cloud architectures for the Generative AI era? Artefact Belgium is looking for a Data Engineer to drive innovation and deliver robust data foundations for our global clients. If you have a solid track record in data engineering and consulting, we invite you to shape the future of AI-driven solutions with us in Brussels.
Who We Are
Founded in Paris, Artefact is a next-generation consulting firm specializing in data, analytics, and AI, focused on transforming data into business impact. We help clients grow their data and digital capabilities while growing ourselves. Our engineering team in Belgium works on the most advanced applications of data technology, from large-scale data platforms to supporting state-of-the-art GenAI projects. Our inclusive and forward-thinking culture encourages creativity, collaboration, and professional growth.
What You Will Do
As a Data Engineer in our GenAI practice, you will own the end-to-end execution of complex technical challenges. You won't just "move" data; you will build the specialized infrastructure and data flywheels that power the next generation of Generative AI, RAG systems, and autonomous agents.
- Deploy GenAI-Ready Production Pipelines: Design and deploy advanced data pipelines both batch and streaming optimized for processing unstructured data (text, images, audio) to fuel LLM fine-tuning and retrieval-augmented generation.
- Build Scalable AI Platforms & Vector DBs: Hands-on development using modern cloud platforms like Databricks, Azure, or AWS.
- Establish Engineering Excellence for LLMs: Implement best practices in data transformation (dbt), orchestration (Airflow, Prefect, or Dagster), and data governance to ensure that AI solutions are reliable, safe, and compliant at enterprise scale.
- Collaborate on AI Innovation: Work closely with Machine Learning Engineers and Generative AI Specialists to design data models and "data-as-a-service" layers that enable rapid prototyping and scaling of AI agents.
- Software Engineering Foundation: Advocate for clean, maintainable code using Python, SQL, and Git, and leverage containerization (Docker/Kubernetes) to deploy AI-driven microservices.
Who You Are
- Experienced Professional: At least 3-5 years of industry experience in data engineering, ideally within a consulting environment, with exposure to data preparation for AI/ML.
- Deep Technical Skillset: Strong programming skills in Python and proven expertise in Spark (PySpark, SparkSQL) for large-scale data processing and feature engineering.
- Data Transformation Expert: Extensive experience with dbt for data modeling, and a strong curiosity about emerging patterns in "LLMOps" and vector data management.
- Consulting Mindset: Proven ability to navigate multidisciplinary environments and communicate how high-quality data architecture is the primary bottleneck for successful GenAI deployment.
- Education: A Master’s in a quantitative field (Computer Science, Engineering, Mathematics, or a related field).
- Linguistic Versatility: Proficiency in English is required; fluency in Dutch or French is a major advantage for our Belgian market.
What We Offer
- Competitive Compensation: An attractive package aligned with your expertise, including a mobility budget or company car and premium insurance.
- High-Impact Opportunities: Work with state-of-the-art technologies on global projects that transform the world's leading brands through Generative AI.
- Professional Growth: Access to a substantial training budget for individual learning, research into new AI frameworks, and certifications.
- A Collaborative Workplace: Join a diverse team where fun and professional excellence go hand-in-hand, with access to 2,000+ colleagues across 34 global offices.
This position is based in Brussels, At Artefact Belgium, we value expertise, curiosity, and a drive to innovate. If you're ready to build the data engines of the AI future, we'd love to hear from you.
Ready to apply?
Apply to LinkedIn Job WrappingJoin Artefact Belgium: Build the Foundation of AI and Data Transformation
Are you an experienced Data Engineer with a passion for building high-performance data pipelines and scalable cloud architectures for the Generative AI era? Artefact Belgium is looking for a Data Engineer to drive innovation and deliver robust data foundations for our global clients. If you have a solid track record in data engineering and consulting, we invite you to shape the future of AI-driven solutions with us in Brussels.Who We Are
Founded in Paris, Artefact is a next-generation consulting firm specializing in data, analytics, and AI, focused on transforming data into business impact. We help clients grow their data and digital capabilities while growing ourselves. Our engineering team in Belgium works on the most advanced applications of data technology, from large-scale data platforms to supporting state-of-the-art GenAI projects. Our inclusive and forward-thinking culture encourages creativity, collaboration, and professional growth.What You Will Do
As a Data Engineer in our GenAI practice, you will own the end-to-end execution of complex technical challenges. You won't just "move" data; you will build the specialized infrastructure and data flywheels that power the next generation of Generative AI, RAG systems, and autonomous agents.
- Deploy GenAI-Ready Production Pipelines: Design and deploy advanced data pipelines both batch and streaming optimized for processing unstructured data (text, images, audio) to fuel LLM fine-tuning and retrieval-augmented generation.
- Build Scalable AI Platforms & Vector DBs: Hands-on development using modern cloud platforms like Databricks, Azure, or AWS.
- Establish Engineering Excellence for LLMs: Implement best practices in data transformation (dbt), orchestration (Airflow, Prefect, or Dagster), and data governance to ensure that AI solutions are reliable, safe, and compliant at enterprise scale.
- Collaborate on AI Innovation: Work closely with Machine Learning Engineers and Generative AI Specialists to design data models and "data-as-a-service" layers that enable rapid prototyping and scaling of AI agents.
- Software Engineering Foundation: Advocate for clean, maintainable code using Python, SQL, and Git, and leverage containerization (Docker/Kubernetes) to deploy AI-driven microservices.
Who You Are
- Experienced Professional: At least 3-5 years of industry experience in data engineering, ideally within a consulting environment, with exposure to data preparation for AI/ML.
- Deep Technical Skillset: Strong programming skills in Python and proven expertise in Spark (PySpark, SparkSQL) for large-scale data processing and feature engineering.
- Data Transformation Expert: Extensive experience with dbt for data modeling, and a strong curiosity about emerging patterns in "LLMOps" and vector data management.
- Consulting Mindset: Proven ability to navigate multidisciplinary environments and communicate how high-quality data architecture is the primary bottleneck for successful GenAI deployment.
- Education: A Master’s in a quantitative field (Computer Science, Engineering, Mathematics, or a related field).
- Linguistic Versatility: Proficiency in English is required; fluency in Dutch or French is a major advantage for our Belgian market.
What We Offer
- Competitive Compensation: An attractive package aligned with your expertise, including a mobility budget or company car and premium insurance.
- High-Impact Opportunities: Work with state-of-the-art technologies on global projects that transform the world's leading brands through Generative AI.
- Professional Growth: Access to a substantial training budget for individual learning, research into new AI frameworks, and certifications.
- A Collaborative Workplace: Join a diverse team where fun and professional excellence go hand-in-hand, with access to 2,000+ colleagues across 34 global offices.
This position is based in Brussels, At Artefact Belgium, we value expertise, curiosity, and a drive to innovate. If you're ready to build the data engines of the AI future, we'd love to hear from you.
Ready to apply?
Apply to Artefact