Manager Big Data Analytics (m/f)

 StepStone ·  30.11.2018 ·  Hilden ·  QIAGEN GmbH

Join the QIAGEN Team!

QIAGEN is one of the world’s leading biotechnology companies. With our sample to insight solutions that unlock valuable molecular information from biological samples, QIAGEN helps to improve healthcare and safeguard our societies, enables the development of new medicines and paves the way for scientific breakthroughs.

Join the revolution – and see how you can make a difference

Job ID #: 10007

Functional Area: eCommerce/ Digital Accelerator

Location: Hilden (near Duesseldorf), Germany

QIAGEN is one of the most successful biotech companies. As the leading provider of innovative purification technologies, molecular testing solutions, and smart bioinformatics we empower our customers to be at the forefront of the molecular biology revolution and advancing patient health.                                                                        The Digital Accelerator was founded to lead QIAGEN’s digital transformation along the value chain, ensuring better connection with customers, investing in new businesses & technologies and building digital capabilities. As data is the foundation of everything we do, we are hiring a Manager Big Data Analytics for our Advanced Analytics & Data Science department to continue our success story. We are looking for a smart mind with a hands-on attitude to join a strong team within a fantastic company in a prospering industry, with the following responsibilities: - Team up with business units across the company as a sparring partner to identify high-impact opportunities by leveraging our extensive data assets. - Design and develop innovative big data solutions for QIAGEN in collaboration with business, data science and data engineering teams. Take ownership of your developed solutions and continuously optimize them. - Innovate data processes with design and development of algorithms, data flow, and monitoring solutions. - Support architecture and design activities for the QIAGEN data lake. - Function as a subject matter expert in your area of expertise and help us foster a data-driven culture.

Master degree in computer science, physics, mathematics, or natural science; PhD is a plus.

Minimum 5 years of related experience in a data engineering or advanced analytics/ data science environment.

Experience with infrastructure and data processing pipelines in the cloud, ideally MS Azure.

Experience with data mining / machine learning.

Solid conceptual knowledge of distributed and non-distributed data processes.

High confidence in handling structured and unstructured data.

Solid technical skills, e.g. (1) Data lake technologies: Data ingestion (e.g. NiFi), data storage (Blob storage, HDFS), process orchestration (e.g. Camunda), data processing (Spark, Hive, Pig), streaming (Kafka, Storm) (2) Programming languages: Python, Scala, R, (3) Databases: SQL, noSQL.  

Personal Requirements

High motivation to work with state-of-the-art technologies and interest to stay up-to-date.

Capacity to develop a clear understanding of the business needs and translate them into relevant data queries to inform strategy and decision making.

Entrepreneurial mind-set, good sense of humour and strong personality.

Motivation to “get things done”.

Fluent in English; German language skill is a plus.

Employment Type: Regular Full-Time

Duration: unlimited — ein Projekt von DIPLANET Digital Solutions Impressum