SENIOR DATA ENGINEER

Shalion is a data driven company working for world class manufacturers and brands worldwide. With its Digital Shelf Optimization and Retail Media solutions, Shalion provides innovative tools that facilitate ecommerce monitoring.We, at Shalion, enable brands to make smarter business decisions in eCommerce, based on actionable data and insights providing information on online product prices, availability, share of search, etc. in more than 800 e-retailers and 50 different countries. Our client portfolio includes industry giants such as Heineken, Diageo, and L’Oréal.If you are a Data Engineer and want to make a difference in your professional career, this is your role! At Shalion we’ve built a modern data platform (with technologies like Airflow, dbt, Snowflake, Looker, Airbyte and Github actions) that is critical for the company revenue generation: we sell data to our customers who consume it either through our dashboards in Looker embedded or through an API.The roleAs a Senior Data Engineer at Shalion, you are expected to:Ingest data from our internal crawling system via S3 or from our backend microservices databases via Airbyte.Be proficient in writing clear, efficient SQL queries.Develop and maintain data models in Snowflake, Looker, and dbt.Automate data pipelines using Apache Airflow.Implement and advocate for data warehouse governance to ensure data quality and organization.Apply software engineering practices like version control and continuous integration.Provide guidance to data visualization specialists and data scientists on engineering best practices.Manage and optimize the BI tool, Looker, ensuring smooth operation and adherence to best practices.Collaborate with product teams to understand business requirements and deliver analysis-ready data.Coordinate with software engineers to establish data requirements and agreements (contracts)Your profile should include the following:3+ years of experience in data or analytics engineering roles.Proficiency in SQL and data modeling.Familiarity with data-related programming languages like Python, Java, or Scala.Experience with cloud platforms such as Amazon Web Services or Google Cloud Platform.Familiarity with task orchestration tools like Airflow, Dagster, or Prefect.Hands-on experience with modern data warehouses like Snowflake, Redshift, or BigQuery.Experience importing and transforming data from various APIs and databases.Knowledge of software development best practices applicable to analytics, including version control, testing, CI/CD, and automation.Ability to collaborate effectively with different stakeholders.Fluency in both English and Spanish.Ideally you will also have:Experience with data modeling in DBT or similar tools.Familiarity with data modeling techniques like Kimball.Experience with GitLab CI or GitHub Actions.Knowledge of data quality frameworks or data observability solutions.Familiarity with infrastructure and automation tools such as Terraform or CloudFormation.Experience with modern data table formats like Delta, Iceberg, or Hudi.Soft skillsAdaptability: Able to devise effective solutions in uncertain situations.Curiosity: Eagerness to learn and engage in constructive discussions.Quality-oriented: Can discern data quality and value code testing for growth.Analytical prowess: Strong problem-solving abilities.Collaboration: Experience collaborating within Agile frameworks.What we offer you Talented, diverse and very friendly work environmentHybrid work: a mix of remote and in-office work to boost our productivity and promote a work-life balanceTo be part of a high-performing team in a fast-paced, innovative environment.A challenging project, where you can have great contribution and impactThe fast-growing project, where you can grow and developOffice with a good location in Barcelona (Francesc Macià).