Design and implement scalable data models for the data warehouse, using dbt and Google BigQuery to support robust business intelligence and reporting frameworks.
Act as a central figure in the data team, bridging technical and business users to ensure data structures meet business needs and improve data flow and accessibility across the organization.
Ensure the integrity and accuracy of data products through rigorous testing and validation processes.
Support the technical aspects of data pipeline maintenance.
Master’s degree (or equivalent through work experience) in computer science, software/computer engineering, mathematics, physics or other relevant fields
Industrial experience as an analytics engineer (or similar), 3+ years
Excellent SQL skills
Experience in dimensional modeling and data warehousing
Experience working with Google Big Query/Azure Synapse or similar cloud computing products
Experience using dbt/Google dataform
Ability to perform both in a team environment and independently
Fluency in written and spoken English
Sidekick Health is a global pioneer in digital health and therapeutics and is committed to transforming patient-centred care through innovative solutions. Founded by two physicians, the company offers a diverse range of digital health programmes covering a variety of therapeutic areas from oncology, cardiovascular diseases, metabolic disorders and inflammatory diseases.
In 2023, Sidekick Health acquired the aidhere GmbH (now Sidekick Health Germany GmbH) as its third division - in addition to its cooperation with world-renowned pharmaceutical companies and the largest health insurance company in the USA - for prescription-capable digital therapeutics. Sidekick Health Germany is the market leader in the field of digital health applications (DiGA) and has already helped more than 40,000 people to lose weight with its first product zanadio, a digital, multimodal obesity therapy.
Sidekick is headquartered in Reykjavik and Hamburg and employs over 250 people worldwide.