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Data Engineer
Отличная вакансия в быстрорастущей компании (Series C) с современным стеком технологий и фокусом на ИИ. Привлекательный пакет льгот и работа в международной среде.
Сложность вакансии
Роль требует уверенного владения стеком GCP и Python, а также понимания продуктового подхода. Особое внимание уделяется опыту работы с ИИ и LLM, что повышает порог входа.
Анализ зарплаты
Зарплата в объявлении не указана, но для позиции Data Engineer в Барселоне рыночный диапазон составляет от 45 000 до 70 000 евро в год в зависимости от опыта. Учитывая стадию финансирования компании, можно ожидать предложения по верхней границе рынка.
Сопроводительное письмо
I am writing to express my strong interest in the Data Engineer position at Lighthouse. With a solid background in building scalable data pipelines and a deep proficiency in Python and BigQuery, I am excited about the opportunity to contribute to your Data Products team. My experience aligns perfectly with your mission to transform raw data into actionable insights, and I am particularly drawn to your AI-first development culture.
Throughout my career, I have focused on bridging the gap between complex data engineering and business value. I have extensive experience with GCP, Airflow, and dbt, and I am passionate about maintaining high data quality standards using tools like Soda and Atlan. I am eager to bring my expertise in streaming and batch processing to Lighthouse and help drive the next phase of your AI evolution.
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Описание вакансии
At Lighthouse, we’re on a mission to disrupt commercial strategy for the hospitality industry. Our innovative commercial platform takes the complexity out of data, empowering businesses with actionable insights, advanced pricing tools, and cutting-edge business intelligence to unlock their full revenue potential.
Backed by $370 million in series C funding and driven by an unwavering passion for growth, we’ve welcomed five companies into our journey and have surpassed $100 million in ARR in 2024. Our 850+ teammates span 35 countries and represent 34 nationalities.
At Lighthouse, 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? 🚀
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.
- Alan Flex benefits: 160€/month for food or nursery.
- Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery.
- Wellbeing support: Subsidized ClassPass subscription.
- Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
- Impactful work: Shape products relied on by 85,000+ users worldwide.
- 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.

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. We actively encourage applications from individuals with disabilities and are dedicated to providing reasonable accommodations throughout the recruitment process and during employment to ensure all qualified candidates can participate fully. Our commitment to equality is not just a policy; it's part of our culture.
If you share our passion for innovation and teamwork, we invite you to join us in shaping the future of the hospitality industry. At Lighthouse, our guiding light is to be an equal opportunity employer, and we encourage individuals from all walks of life to apply. Not ticking every box? No problem! We value diverse backgrounds and unique skill sets. 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.
We value the unique perspective and talents that you bring, and we're excited to see how your light can shine within our team. We can't wait to meet you and explore how we can grow and succeed together, illuminating the path towards a brighter future for the industry.
Learn more about our careers and recruitment process | Our company and leadership team
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Навыки
- Python
- Google Cloud Platform
- BigQuery
- Kubernetes
- Airflow
- dbt
- Terraform
- Apache Kafka
- Google Cloud Pub/Sub
- Data Modeling
- ETL
- ELT
- Large Language Models
Возможные вопросы на собеседовании
Проверка опыта работы с основным стеком компании.
Расскажите о самом сложном ETL-конвейере, который вы проектировали в GCP. С какими проблемами производительности вы столкнулись в BigQuery?
Вакансия делает упор на AI-first культуру.
Как вы используете ИИ-инструменты (например, GitHub Copilot или LLM) в своем ежедневном процессе разработки для повышения качества кода?
Команда Data Products является «источником истины» для всей компании.
Как вы обеспечиваете качество и согласованность данных при передаче их от сырых логов к финальным витринам данных для аналитиков?
В стеке указаны Airflow и dbt.
Опишите ваш опыт работы с dbt и Airflow: как вы организуете зависимости между задачами и обеспечиваете отказоустойчивость пайплайнов?
Роль предполагает менторство.
Был ли у вас опыт наставничества над младшими инженерами? Как вы подходите к проведению code review и передаче знаний в команде?
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