Job Description

• Help answer a broad range of data requests and communicate your findings.
• Build, test, and monitor data pipelines.
• Support the development and validation of reports and dashboards to analyse and track key performance indicators (KPI) and metrics for monitoring the health of the business, department, product, or processes.
• Bringing scientific and mathematical rigour to all elements of your work.
• Collaborating with a larger team of data scientists, data analysts, and data engineers.
• Remain up to date with the latest techniques in data engineering and data ETL.
• Contribute to improving the team’s processes and practices.

Required Knowledge, Skills, and Abilities

• A growth mindset, and the willingness to take ownership, make decisions, fail fast and learn from mistakes.
• Strong written and verbal communication skills.
• Experience with data querying, transformation, warehousing, and data lakes.
• Knowledge and practical experience of SQL and Spark.
• Proficiency in at least one modern object-orientated or functional programming language, preferably Python.
• Experience with managing cloud infrastructure. We use Terraform on AWS.
• Good understanding of data processing algorithms and bottlenecks.

It would also be helpful if you have:

• Experience with Databricks.
• Experience with data visualisation and dashboarding methods, tools, and libraries.
• Familiarity with data quality and security concepts.
• Experience working with data from medical devices.
• Good understanding of statistics fundamentals.