Descripción de la oferta
About the profileWe’re looking for a Data Engineer to join our growing Data and AI Engineering team of professionals who thrive at the intersection of data, technology, and healthcare. Whether you're early in your career or already have hands‑on experience, we welcome curious minds, team players, and problem‑solvers eager to build high-quality data solutions for the life sciences industry.¿Todo listo para enviar su solicitud? Por favor, lea la descripción al menos una vez antes de hacer clic en "Solicitar".At MIGx, you’ll contribute to modern data mesh and data fabric architectures, develop cloud‑native pipelines, and help implement DataOps practices that ensure our systems are robust, observable, and production-ready.ResponsibilitiesBuild and manage ETL/ELT pipelines using tools like Databricks, dbt, PySpark, and SQL.Contribute to scalable data platforms across cloud environments (Azure, AWS, GCP).Implement and maintain CI/CD workflows using tools such as GitHub Actions and Azure DevOps .Apply DataOps principles : pipeline versioning, testing, lineage, deployment automation, and monitoring.Integrate automated data quality checks, profiling, and validation into pipelines.Ensure strong data observability via logging, metrics, and alerting tools.Collaborate on infrastructure as code for data environments using Terraform or similar tools.Connect and orchestrate ingestion from APIs, relational databases, and file systems.Work in agile teams, contributing to standups, retrospectives, and continuous improvement.Requirements - Must haveWhat We’re Looking ForWe believe diverse perspectives and backgrounds lead to better ideas. Even if you don’t meet every requirement, we’d still love to hear from you.Core Experience & SkillsExperience with cloud-native data engineering using tools such as Databricks, dbt, PySpark, and SQL.Comfort working with at least one major cloud platform (Azure, AWS, GCP) — and openness to others.Hands‑on experience with CI/CD automation, especially with GitHub Actions or Azure Pipelines.Strong Python programming skills for transformation, scripting, and automation.Working knowledge of data quality, validation frameworks, and test‑driven data development.Familiarity with observability practices including metrics, logging, and data lineage tools.Understanding of DataOps concepts, including reproducibility, automation, and collaboration.Team‑first mindset and experience in agile environments (Scrum or Kanban).Professional working proficiency in English (our internal and client‑facing working language).Requirements - Nice to haveExperience with Snowflake or similar cloud data warehouses.Knowledge of data lineage tools and frameworks.Infrastructure automation using Terraform, Bash, or PowerShell .Exposure to data modeling techniques like Data Vault or dimensional modeling.Familiarity with data testing tools.Understanding of GxP or other healthcare data regulations.Experience with non‑relational data systems (e.G., MongoDB, CosmosDB).Spanish and/or Catalan language skills.LanguagesEnglish B2 level or higherSpanish and/or Catalan languages a plusWhat we offerHybrid work model and flexible working schedule that would suit night owls and early birds25 holiday days per yearFree English classesPossibilities of career development and the opportunity to shape the company futureAn employee‑centric culture directly inspired by employee feedback. xqbhyrx Your voice is heard, and your perspectives encouragedDifferent training programs to support your personal and professional developmentWork in a fast growing, international companyFriendly atmosphere and supportive Management team.#J-18808-Ljbffr
