Data Engineer

Category: Digital & IT

Location:Måløv, Capital Region of Denmark, DK

• Designing, developing, testing, and maintaining data pipelines and datasets. That includes to extract, transform and load data from the various data sources and help to integrate data transfers between internal and external systems and applications.
• Develop processes to ensure and validate data reliability and quality.
• Understanding the business stakeholders and business problems and apply your knowledge to deliver the outcomes.
• Collaborate with developers and business analysts on developing novel ways of leveraging data to create business value.
• Support users (our CS colleagues) in technical matters related to our data.
• Be part of agile teams consisting of process experts, business analysts, product owners, and developers on new project initiatives to ensure consistency in the optimal data delivery architecture.

• Master’s degree in computer science, engineering, or similar field complemented by 2-5 years of working experience with data modelling, data bricks and leverage of large volumes of data.
• Fluency in English.
• Pharmaceutical industry background is preferred.

• Data querying, ETL tools and data warehousing solutions.
• SQL or similar relational databases (e.g. Postgres, Dynamo DB).
• Big data frameworks/platform/tools like Hadoop, Spark, Kafka, Lambda.
• Dealing with large and complex data sets and performance tuning.

• No SQL databases (e.g. HBase, Cassandra, Mongo DB).
• At-least one programming language - preferably C#.
• Cloud Services (Azure Dev Ops, Amazon etc.).
• Version control systems - preferably Git.