🌎 Can you help us change the world? You've probably haven't thought of ever working for a hospitality tech company... But even hospitality needs technology, and it needs it desperately! We're making the lives of hoteliers and their customers easier, we're re-imagining the industry through quality and seamless technology and bringing it to the 21st century. No more queues at the reception (or no more reception?), no more cash in your pockets, no more emails to change your reservation dates, no more expensive fees to get access to API documentation.For a high-level overview of engineering culture at Mews, check our results of Pragmatic Engineer test. For more information, have a look at our developer blog, YouTube channel with recordings of events we talked at, GitHub FAQ about life at Mews or Twitter with all the latest news. Sounds interesting? Read more below. 💻 About the role In Mews, we are looking for a Data Engineer who is interested in manage and improve our data platform. You will use your expertise to create service that will evolve the data platform, and the data pipelines needed to unlock new self-service capabilities around Azure services. By taking ownership of our Data Pipelines (Databricks, Azure SQL, PySpark), you will be in charge of building, scaling and architecting new features in the data platform. We are looking for an Engineer who will strengthen our Data Engineering team at Mews with experience and willingness to constantly innovate and question the way we do things here. Requirements🚀 Your mission, should you choose to accept it Design data models and help managing ETL pipelines Take ownership of our data storages (Azure SQL, Blob Storage) Plan and improve our data infrastructure as the size of stored and ingested data grows Ensure the health, quality and consistency of stored data and underlaying infrastructure Collaborate on adopting a Data Mesh mindset and build a data platform. Collaborate on company data infrastructure and reporting 🤝 We need you if… You want to help us change the world (of hospitality). High level of proficiency working with Big Data tools (Spark, Pandas, Hadoop). High level of proficiency in SQL and in managing SQL Server. Experience with data load tools (e.g. Azure Data Factory, SSIS, Fivetran, Airflow) and data warehouse tools (e.g. Snowflake, Azure Synapse, Redshift). Programming skills (Python/PySpark, C#/.NET) are an advantage.Understanding of Azure platform.Knowledge of analytical are an advantage (e.g. Looker, Power BI, Tableau) You can effectively communicate in English. Benefits🎁️ It's not only about salary Company shares. We grow, we acquire, and we get investments from well-established companies. Strong knowledge-sharing culture and learning resources of your choice (books, courses, conferences, certifications). Access to Pluralsight and mentoring platforms like Plato. Unlimited holiday (no, this is not a typo). Wellness non-work Wednesdays once a month, no-meeting Wednesdays. Highly open culture and remote/flexible working. When we say remote, we mean it. Flexible benefits via Thanks Ben platform. Health and wellness plans. Have you applied yet?