Data Engineer (DevOps experience)

Client is looking for a Data Engineer who has DevOps experience for one of our international clients active in the high tech field for a project of 12 months with options of extesions based in the area of Eindhoven, the Netherlands.

Project overview:
As a Data Engineer, you will be supporting the development of novel data analytics, visualizations and
control solutions by cutting edge techniques from Machine Learning and Data Mining. You are expected to handle data from various data sources and determine how best to structure the data in order to provide data in a ready-to-use form to data analysts that are looking to run queries and algorithms against the information for predictive & prescriptive analytics through machine learning. You will design and implement robust scalable data pipelines on the client's ecosystems.

Project activities:

• Design and implement Data-Intensive Application’s

• Ensure quality of own deliverables, this includes designing and implementing automated tests (a.o. on unit- and integration levels)

• Cooperate with other teams to ensure consistent implementation of the architecture, agree on interfaces and timing of cross-team deliveries

• Troubleshoot, analyze and solve integration issues, both from internal alpha and beta tests, as well as reported by our customers

• Write or update product documentation in accordance with company processes

• Suggest improvements to existing technical solutions and way of working and implement them in alignment with the team and their stakeholders

Skills and Competencies:

• M.Sc. or Ph.D. in Data Science, Computer Science, Electrical Engineering, Mathematics or Physics

• Experience in having build DIA’s in an industrial/enterprise environment

• Experienced in software development (strong coding and testing skills)

• Familiar languages include Python, Java, etc.

• Familiarity with relational and non-relational (document, columnar, graph) database architectures Experience with frameworks from the big data ecosystem’s (Spark, Kafka, HBase, etc)

• Experience with orchestration & containerization is a plus (Kubernetes, Docker, Mesos DC/OS)

• Experience working with DevOps teams and structures

Will you be the next talented data engineer to join the team and create applications that will boost the client's performance on the market?
We are looking forward to your application and getting in touch shortly to discuss this opportunity in further detail.