Cloud Data Engineer

Novocure  is a global publicly-traded commercial-stage oncology company developing a profoundly different cancer treatment therapy called tumor treating fields (TTFields) for patients with solid tumors. TTFields therapy is a non-invasive, novel, antimitotic treatment modality which utilizes proprietary technology attempting to slow or reverse tumor progression by inducing tumor cell death. Novocure's commercialized product, Optune, is approved for the treatment of adult patients with glioblastoma (GBM) in the USA, Europe and Israel. Novocure has ongoing or completed clinical trials and is further expanding its efforts into several other solid tumor indications - non-small cell lung cancer, pancreatic cancer and other types of solid cancers.

Novocure Poland is our newest office in Europe and you will be part of a global business services team supporting multiple business functions including finance and payroll and located in Krakow. The global business services organization within Novocure Poland is critical to Novocure’s efforts to drive process efficiency, standardizations and drive greater business value as the company prepares for future growth. To support our team in Krakow, Poland we are looking for a :   Cloud Data Engineer.

As our Cloud Data Engineer , you’ll design and build modern data solutions on Google Cloud (BigQuery, Cloud Storage, Dataflow) to fuel business decisions across our global organization. You'll partner with cross-functional teams to create scalable data models, reusable datasets, and intuitive pipelines that power dashboards and analytics.

If you're passionate about clean architecture, efficient ETL, and making data work harder for the business, this is your opportunity to make a real impact.

Responsibilities :

• Data Architecture & Modeling :
• Analyze business requirements and source data to design re-usable datasets, robust models and data marts on Google BigQuery
• Knowledge of dimensional modeling, star and snowflake models, as well as general data warehouse skills
• Develop and maintain scalable ETL pipelines
• Preferred : Cloud Dataflow and Fivetran
• Data Lake Management :
• Implement and manage datasets using BigQuery, ensuring high performance and reliability
• Leverage Google Cloud Storage for managing unstructured data sources
• Optimize query performance and ensure data integrity and security
• Data Transformation :
• Transform data with and understand ETL and ELT concepts to support data-driven decision-making
• Collaborate with business stakeholders to translate complex data insights into re-usable datasets
• Collaboration & Continuous Improvement :
• Work closely with cross-functional teams to understand data needs and deliver customized datasets in BigQuery
• Stay updated with the latest GCP advancements and incorporate best practices to enhance BI capabilities
• Quality & Compliance :
• Ensure adherence to data governance, quality standards, and security protocols
• Troubleshoot and resolve issues in data processing and reporting to maintain uninterrupted service

Your profile :

5+ years of experience in data engineering roles and s trong proficiency in SQL , data modeling, and ETL development

Proficiency in discussing complex data needs, data modeling design and development to deliver re-usable datasets for the business

Hands-on with Google Cloud Platform (BigQuery , Dataflow, Cloud Storage) – bonus for Fivetran, other cloud platform data services, such as AWS, Azure, or Snowflake will also be acceptable

Understanding of technical landscapes, specifically inclusive of SAP, Microsoft, and the software delivery lifecycle

Experience working across global, multi-functional teams

Excellent communication and stakeholder management skills

English language at C1 level

Benefits :