ppAt Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. /p h3Position Overview /h3 pWe are seeking an exceptionally skilled and influential bPrincipal Data Engineer /b 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 DAR capabilities. /p h3Key Responsibilities /h3 ul liDrive data integration and data fabric adoption across the domains, bringing together data, business and development domains. /li liEnsure best practices and support organization‑wide standards for data quality, governance, security, and observability. /li liAct as a technical subject matter expert, mentoring Senior and Staff Engineers and collaborating closely with engineering leadership, data scientists, and business stakeholders. /li liPartner 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. /li liSpearhead the evaluation and integration of new technologies to continuously improve the performance and reliability of the data ecosystem. /li liTroubleshoot and resolve the most complex performance and architectural challenges across the data ecosystem. /li liBe 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. /li liOrchestrate DAR engagement and delivery for digital products, activating the right DAR 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. /li /ul h3Required Qualifications /h3 ul li8+ years of professional experience in a Data Engineering role, with significant experience operating at a Principal or Staff‑level capacity. /li liExpert proficiency in SQL and Python. /li liExtensive 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). /li liDeep, hands‑on expertise in data warehousing concepts, advanced modeling techniques (e.g., dimensional modeling, data vault), and establishing data governance frameworks. /li liProven 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). /li liExceptional communication, negotiation, and influencing skills, with the ability to present complex technical concepts to both technical and executive audiences. /li /ul h3Preferred Qualifications /h3 ul liGood command of Spanish. /li liDeep experience with workflow orchestration tools (e.g., Apache Airflow, Dagster) and managing them at scale. /li liExperience with NoSQL and graph databases (e.g., MongoDB, Cassandra, Neo4j). /li liExpertise in stream processing architectures and technologies (e.g., Kafka, Kinesis, Pulsar). /li liExtensive experience with Terraform, CloudFormation, or other advanced Infrastructure as Code (IaC) tools and GitOps methodologies. /li /ul h3Pay and Location /h3 pWhere pay transparency applies, details are provided based on the primary posting location. For this role, the primary location is Sant Cugat del Vallès. If you are interested in additional locations where the role may be available, we will provide the relevant compensation details later in the hiring process. /p pRoche is an Equal Opportunity Employer. /p /p #J-18808-Ljbffr

📌 Principal Data Engineer (San Cugat del Vallés)
🏢 Roche
📍 San Cugat del Vallés