Senior Analytics Engineer

Lighthouse Io; Oost-Vlaanderen; Sur place; EUR 80 000 - 120 000; Plein temps

Avantages offerts par ce poste

Flexible time off

Career development

Mobility options

Home-office allowance

Lunch vouchers

Eco vouchers

Health insurance

Pension

Résumé du poste

Lighthouse seeks a Senior Analytics Engineer in Belgium (Ghent) to build reliable data products for enterprise customers. You will focus on SQL, dbt, data modeling, data-product development, and AI integration rather than traditional dashboards.

You will own projects from stakeholder questions through analysis, modeling, QA, and delivery, strengthening dbt practices and contributing to scalable data delivery while taking direct customer-facing responsibilities with support.

Qualifications

• Expert-level SQL and hands-on, production-level dbt experience.
• Track record of owning reliable data models or products in production.
• Strong data-warehouse fluency with BigQuery or equivalent platform.
• Experience using Python for data analysis or product development, including testing, documentation, data quality, governance, and correctness.

Responsabilités

• Design production data models and products using SQL, dbt, Python, and BigQuery.
• Translate business questions into scalable solutions, overseeing end-to-end delivery.
• Diagnose and improve data quality, query performance, and cost across large datasets.
• Partner with Product, Data Science, Engineering, Commercial, and Account Management to define requirements and timelines.
• Use AI to accelerate development, analysis, scoping, and documentation, and explore AI-powered capabilities.
• Share dbt expertise and join on-call rotation for enterprise data products.

Connaissances

SQL

dbt

BigQuery

Python

Data modeling

AI integration

Stakeholder management

Outils

Looker

Airflow

Terraform

Claude

Description du poste

Senior Analytics Engineer

Location: Belgium – Ghent

Employment type: Full‑Time / Hybrid

Job Category: Engineering

What you will do

Help build reliable, scalable data products for enterprise customers and internal teams. Focus on SQL, dbt, data modeling, data‑product development, and AI integration rather than traditional dashboarding.

Own work from stakeholder question through analysis, modeling, quality assurance, and delivery. Strengthen team practices around dbt and contribute to a scalable data‑delivery culture. Take on direct customer‑facing responsibilities with support.

Where you will have impact

• Design, build, and improve production data models and products using SQL, dbt, Python, and BigQuery.
• Translate business and customer questions into scalable solutions, overseeing delivery from scoping and analysis through modeling, testing, documentation, QA, and actionable insights.
• Diagnose and improve data quality, query performance, and cost across large, complex datasets.
• Partner with Product, Data Science, Engineering, Commercial, and Account Management to define requirements, explain trade‑offs, and manage feasibility and timelines.
• Use AI to accelerate development, analysis, scoping, and documentation, and explore AI‑powered capabilities such as automated quality checks and agentic customer or sales tooling.
• Share dbt expertise, strengthen team development practices, contribute to enterprise and internal initiatives, and join the on‑call rotation for enterprise data products.

About our team

Lighthouse is a data‑driven company that processes billions of data points and over 100TB of data daily. The data solutions team operates within the Enterprise vertical of engineering, focusing on leveraging data to support flagship enterprise customers. The team builds and iterates on a product roadmap that directly serves a handful of high‑profile clients.

What's in it for you?

• Flexible time off – autonomy to balance work and life.
• Career development – workshops, frameworks, and trainings.
• Impactful work – shape products used by 85,000+ users worldwide.
• Mobility options – mobility budget or company car.
• Home‑office allowance.
• Vouchers – lunch and eco vouchers.
• Comprehensive health insurance for you and dependents.
• Pension funding.
• Referral bonuses.

Who you are

• Expert‑level SQL and hands‑on, production‑level dbt experience.
• Track record of owning reliable data models or products in production.
• Strong data‑warehouse fluency with BigQuery or equivalent platform.
• Experience using Python for data analysis or product development, including testing, documentation, data quality, governance, and correctness.
• Strong stakeholder‑management skills and judgment to explain technical decisions.
• Direct, pragmatic, and collaborative style, with examples of AI improvements.
• Excellent English communication skills.

We welcome

• Client‑facing product or consulting experience in SaaS.
• Familiarity with BigQuery, Airflow, Looker or other visualization platforms, cloud analytics platforms, and Agile practices.
• Experience using AI in recurring workflows or customer‑facing data products.
• Knowledge of travel, hospitality, or short‑term‑rental data.
• Experience mentoring colleagues or improving analytics‑engineering practices.

Technologies you will work with

SQL (Google BigQuery), Python, GCP, Looker / Tableau, Terraform, Airflow, Claude.

Diversity, equity, inclusion, and belonging

We are committed to fostering a diverse and inclusive workplace that values equal opportunity for all. Candidates from all backgrounds, regardless of age, gender, race, religion, sexual orientation, or disability, are welcome. If you require reasonable accommodation during the application or interview process, please let your recruiter know.

Not ticking every box? No problem! We value diverse backgrounds and unique skill sets and encourage individuals from all walks of life to apply. If your experience differs from our ideal profile, but you’re passionate and quick to learn, we’d love to hear from you.

Learn more about our careers and recruitment process. Learn about our company and leadership team. Beware of recruitment scams.