Data Engineer Tech Lead

Key Skills

Agile methodologies, Algorithms, Amazon RedShift, AWS, Azure, Big Data Technology, Business Intelligence, Data Analytics, Data Engineering, Data science techniques, DataOps, DevOps, Docker, DynamoDB, Git, Google Cloud Platform (GCP), HIPAA, Leadership Skill, Machine learning techniques, MLOps tools, PostgreSQL, PySpark, Scala Programming, SPARK Programming, Spark-SQL

Job Description

The Position

Diabetes is a pesky monster — and that’s putting it mildly. If you’re serious about helping us face it head-on, come join us!

Being a global leader in integrated Personalized Diabetes Management (iPDM), Roche Diabetes Care collaborates with pioneers around the globe, including people with diabetes, caregivers, healthcare professionals, and payers. We aim to transform and advance care provision and foster sustainable care structures. Under the brands RocheDiabetes, Accu-Chek, and mySugr, comprising glucose monitoring, insulin delivery systems, and digital solutions, we unite with our partners to create patient-centered value. By building and collaborating in an open ecosystem, connecting devices, and digital solutions as well as contextualizing relevant data points, we aim to support the optimization of therapy and enable better-informed therapy decisions.

For a behind-the-scenes look, check out our Roche code4life to see what makes Roche Diabetes Care tick: code4life.roche.com/

Here’s what we’re looking for:

We’re looking for an experienced Technical Lead in the Data Engineering domain. You will be responsible for the design and implementation of the data and analytics platform making data accessible for multiple purposes. Main purposes include insights generation, real world evidence, develop & train ML algorithms and to support data-driven decisions.

Your upcoming mission:

• Lead the design and implementation of the data & analytics architecture ensuring compliance, quality and a sustainable growth of the platform. 
• Build scalable data pipelines to integrate and model datasets from different sources that meet functional and non-functional requirements.

• Provide the technology, the tools and data to support data scientists and analysts in R&D, One Medical and Commercial teams. 
• Manage the technical backlog on the Data & Analytics Platform.
• Ensure the data quality by implementing and monitoring a data quality framework together with the data source teams. 
• Work with data infrastructure to triage infrastructure issues and drive to resolution.
• Collaborate with cross-functional stakeholders to understand their business needs. 
• Formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations.
• Foster a data driven culture throughout the team and to lead data science projects that will have impact throughout the organization.
• Help to grow our data team with exceptional engineers.

Essential skills for this mission:

• BS degree Computer Science or related field
• 8+ years relevant experience as Data Engineer, building Data Platforms, Datalakes and Business Intelligence solutions
• Proficient implementing data pipelines (using i.e. Pyspark, Spark SQL, Scala), orchestration tools/services (i.e. Airflow, data factory) and testing frameworks. 
• Proficient with Software Engineering best practices, such as unit testing and integration testing, and software development tools, such as Intellij, Maven, Git, Docker among others.
• Experience in one of the main cloud services (AWS, Google Cloud or Azure) with Big Data services (EMR, Databricks, Synapse, HDInsight, Kinesis, etc.)
• Experience in databases (columnar, nosql and relational databases: Redshift, Dynamodb, Aurora, Postgres and/or Snowflake), data modeling and data management tools (Hive, Jupiter, Zeppelin and/or Databricks).
• Experience with orchestration, automation, integration and continuous delivery frameworks such as Jenkins or Streamsets.
• Experience with reporting systems and visualization tools Quicksight, Tableau and Looker.
• Experience working in Agile methodologies 

Bonus skills:

• Experience with DevOps, DataOps and MLOps.
• Experience with security and privacy regulations (GDPR, HIPAA).
• Experience in Data Science and Machine Learning
• Knowledge on Data Mesh Architectures
• Knowledge on the Health Industry.

Here's what you can expect from us: 

• We are ambitious and passionate people building meaningful products.
• We actively promote personal and career development so if you like writing blog posts, contributing to open source projects, or are an active participant and/or speaker at conferences and meet-ups, we are here to support you.
• An innovative agile working environment allowing for collaboration and knowledge sharing in cross-functional teams.
• Hybrid home office/on-site working model. 
• Loads of benefits (Apple hardware, lunch benefit, training, medical insurance, life insurance, stock options...)
• Oh, and did we mention the best team in the world!

Location:

• This position can be based in Barcelona area or Vienna.

Here at Roche Diabetes Care, we are committed to providing a healthy, equal, and inclusive working environment for our employees! We care about family-friendly career paths, sustainability, a healthy lifestyle, and the flexibility of a modern workplace. We maintain a culture of learning and sharing, as well as open and candid feedback. At every level, there are many opportunities to develop and grow at Roche Diabetes Care - both professionally and personally.