Cataluña Principal Data Engineer

We are seeking an exceptionally skilled and influential Principal Data Engineer to join and provide technical leadership for the digital solution Navify Cervical Screening. As a Data Lead, you will provide orchestration within cross-functional agile product teams, influencing the strategic direction and delivery of data-driven features. While hands-on contributions are expected, your primary focus will be on ensuring the strategic differentiation of products through data and innovation, orchestrating DA&R capabilities., * Drive data integration and data fabric adoption across the domains, bringing together data, business and development domains.

• Ensure best practices and support organization-wide standards for data quality, governance, security, and observability.
• Act as a technical subject matter expert, mentoring Senior and Staff Engineers and collaborating closely with engineering leadership, data scientists, and business stakeholders.
• Partner with cross-functional stakeholders to shape data strategy, translate business needs into scalable technical solutions, and influence decision-making at both domain and enterprise levels.
• Spearhead the evaluation and integration of new technologies to continuously improve the performance and reliability of the data ecosystem.
• Troubleshoot and resolve the most complex performance and architectural challenges across the data ecosystem.
• Be accountable for defining and ensuring timely delivery of all data-related requirements, including data integration, migration, storage, structure, legal compliance, privacy, quality, and insights generation.
• Orchestrate DA&R engagement and delivery for digital products, activating the right DA&R capabilities, and act as a key liaison, building and maintaining strong working relationships with cross-functional experts (other data experts, product owners, software engineers, clinicians) to jointly explore business opportunities and data assets.

• 8+ years of professional experience in a Data Engineering role, with significant experience operating at a Principal or Staff-level capacity.
• Expert proficiency in SQL and Python.
• Extensive experience architecting and managing large-scale cloud data platforms (e.g., AWS Glue, Google Dataflow, Azure Data Factory) and deep expertise in containerization and orchestration (Docker/Kubernetes).
• Deep, hands-on expertise in data warehousing concepts, advanced modeling techniques (e.g., dimensional modeling, data vault), and establishing data governance frameworks.
• Proven track record of building, optimizing, and leading the deployment of massive-scale, highly concurrent data pipelines using distributed processing frameworks (e.g., Apache Spark, Flink).
• Exceptional communication, negotiation, and influencing skills, with the ability to present complex technical concepts to both technical and executive audiences., * Good command of Spanish.
• Deep experience with workflow orchestration tools (e.g., Apache Airflow, Dagster) and managing them at scale.
• Experience with NoSQL and graph databases (e.g., MongoDB, Cassandra, Neo4j).
• Expertise in stream processing architectures and technologies (e.g., Kafka, Kinesis, Pulsar).
• Extensive experience with Terraform, CloudFormation, or other advanced Infrastructure as Code (IaC) tools and GitOps methodologies.