Roche

We're looking for a Migration & Integration Expert with strong AWS experience to lead complex cloud migration projects, integrate new entities and legacy infrastructures into modern AWS environments, and support the continuous evolution of enterprise cloud platforms.

🎯 Responsibilities

1. Lead technical migrations of high-stakes AWS accounts, ensuring seamless integration of newly acquired entities and legacy systems into the AWS platform.
2. Establish and guide the technical direction throughout the full lifecycle of platforms and services, from inception and design to deployment, operation, and retirement.
3. Apply software engineering principles to build, scale, and manage large-scale IT infrastructure products and services, providing self-service tools and APIs for developers.
4. Design and develop complex CI/CD pipelines and self-healing features, and lead disaster recovery design and execution plans.
5. Proactively solve complex problems and lead maintenance of live services by designing metrics for system health, availability, and performance.
6. Plan infrastructure capacity, scalability, and performance; lead major optimization initiatives across inter-related platforms.
7. Work closely with development teams, Managed Services suppliers, and vendors to improve application development velocity and optimize service reliability.
8. Transform developer and customer needs into actionable requirements and provide clear technical guidance and priorities.
9. Ensure compliance with quality, regulatory, and security standards; lead audits and implement best practices for cost, compliance, and security.
10. Drive innovation and sustainability in cloud systems, managing ITSM processes and applying design thinking, lean and agile methodologies.
11. Mentor and guide geo-distributed, cross-functional teams, fostering knowledge sharing and continuous improvement.

🛠️ Requirements

1. Extensive experience designing and implementing cloud-based solutions.
2. Proven track record of solving complex, high-impact problems using automation, architecture, and cloud-native patterns.
3. Strong experience mentoring engineers and fostering a culture of knowledge sharing and continuous improvement.
4. Demonstrated ability to collaborate with diverse, cross-functional, and international teams.
5. Expertise in building and managing large, multi-tenant AWS platforms (account provisioning, landing zone deployment, customizations, functional exposure).
6. Deep expertise with Terraform and AWS CDK, including building reusable modules and components for operational consistency.
7. In-depth knowledge of AWS cloud components: IAM, Networking (VPC subnetting, TGW, DX, Route53), Landing Zone development, security guardrails, and platform security features.
8. Advanced skills in Infrastructure as Code (IaC) with Terraform or CDK, including development, testing, and deployment.
9. Experience building platforms with a focus on developer experience, self-service APIs, and automated onboarding workflows.
10. Strong knowledge of Gitlab/Github, software development lifecycle (SDLC), and CI/CD best practices.
11. Proficiency in scripting languages such as Python or Bash, and using testing frameworks like Pytest.
12. Familiarity with Agile methodologies (such as SAFe), principles, and tools.
13. Experience integrating and operationalizing AI agents or LLM-based tools to enhance DevOps workflows, automated documentation, or incident analysis.
14. Ability to design and build cloud solutions in alignment with the AWS Well Architected Framework (operational excellence, security, reliability, performance efficiency, cost optimization, sustainability).
15. Strong incident response skills, including ITSM process management and conducting effective postmortems.

We're looking for a skilled Data Analyst to join a multidisciplinary team supporting digital and operational excellence in the pharmaceutical industry.

🎯 Responsibilities

1. Utilize SQL and Python to extract, profile, and analyze data for feature development and data cleansing.
2. Translate complex business rules into technical analytical specifications for engineering teams.
3. Ensure data products meet integrity, security, and validation standards in collaboration with validation teams.
4. Conduct deep-dive data exploration and review prospective data sources, identifying quality constraints and hidden value.
5. Contribute to conceptual and logical data modeling, partnering with product owners and architects to design data schemas.
6. Support data standardization initiatives and maintain data contracts, dictionaries, and metadata for clear data usage guidance.
7. Design, build, and maintain data product monitoring dashboards (e.g., in Tableau or PowerBI) to track and report KPIs, adoption, and user satisfaction.
8. Serve as the main point of contact for data product operational support, leading incident management and collaborating with data engineers on solutions.

🛠️ Requirements

1. Bachelor’s or Master’s degree in Pharmacy, Biotechnology, or a related field.
2. 5+ years of experience in pharmaceutical technical operations, including project-based work and knowledge of industry regulatory requirements (e.g., GMP, FDA) and Quality systems.
3. Highly proficient with data visualization tools such as Tableau and PowerBI.
4. Intermediate to advanced SQL and Python skills for data extraction and transformation.
5. Strong analytical skills and ability to model complex data sets logically.
6. Experience with application support, incident management, and change control.
7. Familiarity with Agile methodologies and tools (such as Jira or HP ALM).
8. Excellent stakeholder management and communication skills, with fluency in English and the ability to present data product performance metrics to a range of audiences.

➕ Nice to have

1. Familiarity with business-facing systems such as SAP, SAC, ELN, LIMS, MES, or LES.

We're looking for an exceptionally skilled and influential Principal Data Engineer / Data Lead to provide technical leadership for a digital solution focused on cervical screening. This is a critical leadership role for someone passionate about data, delivery, and technical excellence. As Data Lead, your primary focus will be shaping the strategic direction and delivery of data-driven features and orchestrating data capabilities across cross-functional agile teams.

🎯 Responsibilities

1. Lead data integration and adoption of data fabric across domains, bringing together data, business, and development.
2. Ensure best practices and support organization-wide standards for data quality, governance, security, and observability.
3. Act as a technical subject matter expert, mentoring Senior and Staff Engineers, and collaborating closely with engineering leadership, data scientists, and business stakeholders.
4. Shape data strategy in partnership with cross-functional stakeholders and translate business needs into scalable technical solutions.
5. Drive the evaluation and integration of new technologies to continuously improve the data ecosystem's performance and reliability.
6. Troubleshoot and resolve complex performance and architectural challenges within the data environment.
7. Define and ensure timely delivery of data-related requirements, including integration, migration, storage, structure, legal compliance, privacy, quality, and insights generation.
8. Orchestrate Data Analytics (DA) engagement and delivery for digital products, activating appropriate DA capabilities.
9. Build and maintain strong working relationships with cross-functional experts (data experts, product owners, software engineers, clinicians) to explore business opportunities and data assets.

🛠️ Requirements

1. 8+ years of professional experience in a Data Engineering role, including significant time at a Principal or Staff level.
2. Expert proficiency in SQL and Python.
3. Extensive experience architecting and managing large-scale cloud data platforms (such as AWS Glue, Google Dataflow, Azure Data Factory) and deep expertise in containerization and orchestration (Docker/Kubernetes).
4. Strong hands-on experience in data warehousing, advanced modeling techniques (dimensional modeling, data vault), and establishing data governance frameworks.
5. Proven ability to build, optimize, and lead deployment of large-scale, highly concurrent data pipelines using distributed processing frameworks (e.g., Apache Spark, Flink).
6. Exceptional communication, negotiation, and influencing skills, able to present complex technical concepts to both technical and executive audiences.

➕ Nice to have

1. Good command of Spanish.
2. Experience with workflow orchestration tools (e.g., Apache Airflow, Dagster) and management at scale.
3. Experience with NoSQL and graph databases (e.g., MongoDB, Cassandra, Neo4j).
4. Expertise in stream processing architectures and technologies (e.g., Kafka, Kinesis, Pulsar).
5. Extensive experience with Terraform, CloudFormation, or other advanced Infrastructure as Code (IaC) tools and GitOps methodologies.