Senior Ops Engineer Datawarehouse and Predicitive Analytics

IT-Staffing Nederland B.V.
Geplaatst op
Binnen een jaar
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For our client in Amsterdam we are looking for a Senior Ops Engineer Datawarehouse and Predicitive Analytics.





36-40 hrs./week

As an engineer you will be working in a 6-8 persons squad in the IT Area “Arrears & Generics”. Within this Area work is being done in a DevOps manner. Scrum/Agile and Continuous Integration/Continuous Delivery practices are very important within our Area.

Work environment
Within our client’s organization a Datawarehouse and a predictive analytics solution are built for the Arrears department. These solutions are being developed and maintained by a squad. Our client is building a new data architecture for structured and unstructured data, called Data Lake, the Arrears Datawarehouse will be part of the CIO NL Data Lake.
High on the agenda for the first half of 2016 is the extension of the Datawarehouse from secured customer data with unsecured customer data.

We operate according to the Scrum Agile development process and strongly believe in the DevOps approach to delivering IT solutions. The focus is on high-quality mission-critical software delivered in time using iterative development with regular milestone demos to the business, so that at the end there are no surprises about what we build.

Job description
Together with your team you are building and maintaining the Datawarehouse and predictive analytics solutions used by different business and IT parties. You will be working in close co-operation with stakeholders and you will be actively participating in the extension of the platform’s capabilities by deploying and configuring new features, components and releases in a controlled way.

Do you recognize yourself in this profile
You are an enthusiastic and entrepreneurial Engineer who achieves maximum results from projects. You have the leadership and management qualities to be a frontrunner within these projects as well as within your team.

Skills required
The candidate should follow an Agile way of Working within the team.

Technical experience/capabilities

  • Development and support of Data Datawarehouses

  • ETL, data modelling (Normalization, Kimball, Data Vault), information analysis

  • SQL/Stored procedures

  • AIX/Linux shell scripting

  • Test driven development

  • Netezza, Data Stage, TWS-d

  • Continuous delivery, automating deployments (Nolio, Artifactory, Jenkins, GIT), automating testing (FitNesse/DbFit),

  • Datawarehouse migration

  • Risk & security documentation, code scans (Fortify), Port scans, Role-based Access Control

  • Predictive Analytics (R and INZA)

  • ELK stack (Elastic Search, Log Stash, Kibana)


  • Strong analytical skills

  • Innovative

  • Team player

  • Versatile

  • Structured

  • Good social and communication skills

  • Dutch and English speaking and writing skills

Cost for VOG are for your account.

Interested? Send us your English CV, motivation and hourly rate.

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