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Roche

Principal Data Engineer

Roche is hiring a Principal Data Engineer. Level rates it ; you can apply on Roche.

Level's read on this job

  • Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
  • Level classes it as a lead role.
  • Roche has 1,200+ other open roles on Level.
  • Posted in the last few days.

AI in this role

At 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.

The Position

DESCRIPTION

We are looking for a Principal Data Engineer to join our growing team of Advanced Data Analytics experts. This role calls for a seasoned expert with a robust mix of technical prowess, comprehensive domain knowledge, and strong technical leadership abilities.

The ideal candidate is a hands-on technical leader who thrives on meeting data requirements across different products while driving the long-term technological vision of the department. You will be responsible for ensuring data accuracy and availability while spearheading future-ready strategies for GenAI and advanced analytics. You will work closely with System Architects, Product Owners, and Engineers to deliver scalable, cost-efficient, and high-impact data initiatives.

LOCATION

Sant Cugat, Spain

JOB TYPE

Full Time

KEY RESPONSIBILITIES

  • Define and drive the future strategy for GenAI and emerging technologies to uncover hidden patterns and drive decision-making across diagnostic products.

  • Design, implement, and optimize data architectures using AWS services, ensuring seamless integration and high performance.

  • Drive the design and development of efficient data processing workflows using PySpark, SparkSQL, SQL, and modern formats like Iceberg and Parquet.

  • Optimize the performance, scalability, and cost efficiency of data infrastructure and AWS service consumption.

  • Provide technical direction and mentorship to a team of developers, enforcing code quality standards and best practices for testing and CI/CD.

  • Collaborate closely with engineering and business stakeholders to translate complex requirements into impactful data-driven solutions.

  • Advocate for data security, governance, and compliance, ensuring all products are compliant with HIPPA, GDPR etc.

REQUIRED EXPERIENCE, SKILLS & QUALIFICATIONS

  • Minimum of 5 years of professional hands-on data engineering experience, including significant leadership in technical projects.

  • Expert-level proficiency in AWS services including S3, Redshift, Glue, Athena, EMR, Step Functions, and MWAA.

  • Mastery of Python, SQL, and data processing frameworks such as Apache Spark.

  • Proven experience with Dimensional Modeling, Data Partitioning, and Infrastructure as Code using Terraform.

  • Demonstrated ability to provide technical direction, guide architectural decisions, and mentor cross-functional teams.

  • Excellent skills in bridging the gap between business needs and technical implementation for both technical and non-technical audiences.

  • Fluent written and spoken English communication skills. Spanish is a plus.


​EDUCATION

  • Bachelor’s or Master’s degree in Engineering.


DESIRED EXPERIENCE, SKILLS & QUALIFICATIONS

  • Experience in the Healthcare Laboratory domain and familiarity with regulations like HIPAA, HL7, and FHIR is a significant plus.

  • Hands-on experience implementing GenAI and Machine Learning technologies within a SaaS or Cloud application environment.

  • Experience in designing and implementing large-scale Data Lakes and Data Warehouses with a focus on long-term scalability.


WHY JOIN US?

  • Collaborative Culture: Engage with a diverse team of talented professionals.

  • Innovative Environment: Work on cutting-edge SaaS products and define the future of diagnostic data.

  • Growth Opportunities: Take on challenging projects that offer continuous learning and career development.


At Roche, we embrace emerging innovations, like AI, to enhance the patient journey. If you’re passionate about new technology and thinking ahead, join us in building a healthier future together.

* Our recruitment radius is limited to candidates residing in Spain. This is a hybrid position and no relocation assistance is provided.

Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.


Let’s build a healthier future, together.

Roche is an Equal Opportunity Employer.

How we rate this

Principal Data Engineer at Roche rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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