.The Swiss-based DocMorris AG is a leading company in the fields of online pharmacy, marketplace and professional healthcare with strong brands in Germany and other European countries.With its business model, DocMorris offers its patients, customers and partners a broad range of products and services. In doing so, DocMorris is pursuing its vision of creating a digital health ecosystem for everyone to manage their health in one click.In Spain and France, the company operates the leading marketplace for health and personal care products in Southern Europe.With an innovative business model, our marketplace does not manage stock or warehouses, it integrates the catalog of products, pricing, and stock levels of the most important and trusted off-line pharmacies in a single website, achieving 24h delivery service for more than 200.000 products and 10.000 brands from more than 1.000 pharmacies and health stores. Our business model and service have received several awards like the prize for Best Webshop in Spain as well as the Best Mobile App from the E-Commerce Awards.We are seeking a Data Engineer to join our Data team, reporting to the Data Lead and working side by side with the business, marketing, and engineering teams, following a philosophy 100% Agile.You will choose emerging technologies and approaches to create high-performance data solutions that scale. You will challenge our status quo and help us define best practices for how we work by designing data-intensive applications.Tasks and Responsibilities :You and the rest of the Data team will have the ownership to develop, maintain and deploy high-performance and scalable data-processing and data-integration systems.Define and build data architecture for data warehouses / marts and data solutions (including data and dimensional modeling).Build data products based in our microservices architecture, deciding on the technologies and tools to deliver as well as operate large-scale applications.Care for the standards and quality of your code and mplementation.What we are looking for :Minimum 3 years experience as a Data Engineer.Degree in Computer Science, Engineering, Mathematics or similar.Experience with Data Warehousing and Architecting :Snowflake, Redshift, or other columnar storage like MPP DWHAWS, GCP, or other cloud computingExperience with ETL / Data Pipelines :Advanced SQLAdvanced PythonAirflow is a big plusOther Skills :Version control GIT (GitLab CI / CD is a plus)Languages : Spanish and English (proficiency)Experience in Agile methodologiesData science and / or BI skills (analysis, machine learning, etc.) are a plusTicket restaurant 11€ / day worked.Long term contractSocial benefits package. You can dedicate a part of your gross salary to Ticket Transport, or Nursery.Health insurance with Sanitas is paid by the company for those who want it!Gympass25 days of holidaysCompany-provided all the needed equipment to work at home and office.24 / 7 learning platforms
