Sr. Data & Analytics Engineer

About Landbot

Operating in more than 40 countries, Landbot (the most powerful No-Code Chatbot Builder) offers a platform that helps companies to create unbeatable chatbot conversations in different channels: Web, WhatsApp, and Messenger.

With us, you will be working in a team of engineers, data, designers,, PMs. A team with diverse and exciting backgrounds coordinated with agile methodologies No matter the location, we put fun at the heart of everything we do and set ambitious goals to push things forward.

Our Core Values

We’re looking for a Sr. Data Engineer with fullstack ambitions, somebody who is able and willing to contribute throughout the whole lifecycle of building data products. Thus while your main domain expertise should be in Data Engineering, we look for folks who are also able and interested in contributing with tasks that are usually more aligned with Data Scientist or Machine Learning Engineering roles.

Responsibilities:

• Designing, developing and maintaining a common analytics platform to empower teams to build reports, draw insights and build automations with their area’s tooling stack.
• Development of our data warehouse in conjunction with our Data Analysts/Scientists, from provisioning the relevant cloud infrastructure, managing the data ingestion pipelines, and ensuring quality, security and privacy through data governance.
• Partnering with product and engineering to enhance our data platform to enable experimenting and shipping AI/ML-powered products.

• Experience building data products: gathering and understanding stakeholder pains, agile product development, up-to-date knowledge of the technology landscape to design appropriate solutions
• Experience building ELT/ETL data pipelines using the modern data stack (Data/delta lakes, Airflow/Prefect/Dagster, Bigquery/Redshift/Snowflake, dbt, reverse ETL)
• Proficient in SQL, Python
• Experience implementing DevOps practices (CI/CD, automation, observability, Infrastructure-as-Code)
• Experience provisioning and managing cloud infrastructure
• Eligibility to work in Spain

Nice to have 🏆

• Experience with real-time or near-real-time data pipelines (ex: Kafka/PubSub, Flink, Storm, Structured Streaming)
• Experience with the Google Cloud Platform and its analytics/data stack

Hiring Process

1️⃣ CV screening
2️⃣ Phone screen with HR & Hiring Manager
3️⃣ Technical take-home challenge
4️⃣ Team presentation of challenge results
5️⃣ CEO interview

Benefits 😍

• Hybrid culture: you can choose between a full remote or a beautiful office in Barcelona (or both!).
• Great company culture, we have a young, upbeat, and international work environment.
• Flexible schedule.
• Open vacation policy and flexible holidays so you can take time off when you need it.
• Training budget 📚 📖
• Ticket transport 🚋
• 🏖 25 days of paid vacation (23 regular days + December 24th & 31st ) 🏖
• English & Spanish lessons 🇬🇧 🇪🇸
• Flex compensation with Cobee 💸💸 for employees residing in Spain.
• Team building activities 🎳🍻🍕
• Referral Bonus if you bring other talented people like you.

Remotive

Puesto de trabajo: Data Engineer
Conocimientos/habilidades: BigQuery, ETL, Informática, Python, Snowflake, SQL