
Data Platform Engineer Analyst
- Barcelona
- Permanente
- Tiempo completo
- Collaborate closely with experienced data engineers, data scientists, and stakeholders to deeply understand complex data needs—especially in crucial domains like bioinformatics, omics, and clinical data
- Design, build, and maintain robust data infrastructure on AWS Cloud in support of our data mesh architecture
- Automate, optimize, and fine-tune platform provisioning, scaling, and maintenance tasks to boost operational efficiency, performance, scalability, and cost control
- Implement data monitoring and alerting systems, and partner with DevOps teams to proactively identify and resolve data issues
- Ensure data security, compliance, and governance at every stage of the data platform, following global standards and best practices
- Develop foundational knowledge in implementing data warehouses, data lakes, and distributed processing technologies—such as Spark, Hadoop, and Kafka—in production environments
- Develop advanced proficiency with SQL (preferably Snowflake) and both relational and non-relational databases to optimize complex queries and data manipulation
- Develop mastery in programming languages (like Python, Shell scripting, and Scala/Java) for the development of sophisticated data engineering solutions
- Work within cross-functional agile teams to contribute to the architecture and deployment of hybrid-cloud solutions and automated pipelines, ensuring seamless and high-performance data processing
- Document data infrastructure design, configuration, and processes thoroughly for reference and training purposes
- Engage actively within the data engineering community by sharing insights, best practices, and innovations that contribute to broader industry progress
- Bachelor's/Master's in STEM or a relevant field with proven experience in data engineering
- Strong knowledge of data integration technologies, ETL/ELT, modern data engineering technologies and Data Mesh architectures
- Strong knowledge of SQL, relational/non-relational databases, and data query optimization. Proficiency in programming languages such as Python, Shell scripting, and Scala/Java
- Experience in managing cloud-native systems following IaC and DataOps principles (terraform, CI/CD, Orchestration, Actions)
- Strong knowledge of agile development processes and concepts
- Excellent problem-solving skills and attention to detail
- Excellent communication, presentation, and interpersonal skills
- Curiosity and a commitment to continuous learning and improvement
- Experience in the life sciences/pharmaceutical industry
- Familiarity with Data Mesh concepts such as data as a product, domain-driven design, and federated computational governance
- Familiarity with visualization tools (PowerBI, Tableau) and project management tools (JIRA, Confluence)