Please note, remote work is only available if you are based in Germany.
Create and develop a scalable cloud-based data platform in order to support stakeholders, such as management, marketing, sales and quantitative researchShape an AWS based stream and batch processing solution, ingesting data from 3rd party, as well as internal backend servicesEnsure we collect all data required to execute on the company’s missionBuild interactive dashboards and reporting solutionsBe a contact person for business intelligence questions, delivering actionable insights and recommendationsWhat we offer
We are looking for a passionate Data Engineer to join our Analytics team and own our analytics data architecture. You will collaborate with the rest of the Analytics team and company stakeholders (such as product, UX, sales, marketing, medical, etc) to identify data needs and solve them to support insights that inform key business decisions.
As part of the Analytics team, you will:
Maintain and evolve our analytics data architectureHandle our data pipeline from Ingestion to StorageAlign with our Data Analysts and other stakeholders throughout the organization on data needs and implement themWork with our analysts and Product teams to strive for impact for our usersOwn our event tracking platform (Snowplow in Spark-EMR setup)Be the guardian of data qualityWork with engineering teams to define and implement new tracking events across all platformsEnsure interpretability of core data elementsOwn data modelling and data lineage across all data stores and toolsEnsure data from different sources are connected in the right way to ensure tracking across media breaks correctly and allow for attributionWe are looking for somebody who has:
Automated and manual testing in the digital operating room
Your work scope
Creation and documentation of test casesImplementation of automated testsExecution of automated and manual testsConsolidate requirements from QA point of viewFunctional and technical support to QMYour background
Solid work experience in system test, web technologies, Continuous Integration (e.g. Jenkins), Windows Desktop and Server OS, relational databases (e.g. MS SQL, MySQL, Oracle, etc.), Active Directory / LDAPExtensive knowledge of test automatization technologies using GUI interactions for Web applications (e.