Business Analist Trusted Data (900799)

Locatie
Utrecht
Startdatum
17/03/2020
Einddatum
30/09/2020
Uren
36
Klant
Hiringdesk ATOS Nederland
Aanvraagnummer
SRQ139586
Deel deze aanvraag:

Locatie: Utrecht
Start: z.s.m. 
Eind: 30/09/2020
Inzet: 36 uur per week                                                                                                   
Taal: Engels
Tarief: €75,-

ZZP: Niet toegestaan
Deadline: 18/3 om 13:00

Business Analist Trusted Data

Data Lake Background:
The Rabobank is working on a central Data Lake environment. At this moment four Data Lake DevOps teams share the responsibility for the set-up, development and maintenance of the Data Lake and Data Factory for Rabobank. This Data Lake is built on Azure Cloud and the environments and the teams are growing fast. We strive towards high performing, self-steering DevOps teams where team members take responsibility and are willing to learn. Within the team, where everyone is working closely together, each team member share expertise and also have their own specialism. Next to creating new functionality, maintenance, configuration, security, processes and procedures are also part of the responsibility of the DevOps teams.

Data Management is key:
To have an efficient, structured and reliable Enterprise Data Lake strong data governance is key. To strengthen and expand our data governance processes and to implement our data management tooling we are currently looking for a Business Analist for our Trusted Data team, who has experience with a wide range of Data Management topics like governance, privacy and data quality. Experience with protection/masking solutions and data quality solutions on a cloud data platform is a pre. As a Business Analist Trusted Data you are responsible for defining data governance processes and together with the scrum-team, defining and designing solutions for topics like data retention, data privacy (privacy by design), data lineage and data quality.

What do we expect?
Experience in data intensive projects, e.g. data warehousing or data lakes. Comfortable with applying consultancy skills and working together with other stakeholders in defining the right data governance processes for an enterprise wide cloud data platform. Familiar with data masking/protection related tooling, especially in a Cloud environment. Familiar with GDPR (AVG). Also worked in and with DevOps teams. Motivated to learn and improve in a flexible and dynamic environment.

What do we offer?
A challenging environment for talent in data. The teams are open and honest and all are willing to learn with specialists on specific areas in the data domain. The teams are all DevOps and work on continuity and innovations. The environment is dynamic and we are working with new technologies.

Experienced with:
• Data driven projects
• Microsoft Azure
• Data Management topics like Data Governance, Data Privacy, Data Access and Data Quality
• Experience with Data masking/protection tooling is a pre
• Scrum and DevOps methodologies
• Familiair with GDPR principles (AVG)

Competences:
• Data governance
• Strong communicator
• Great collaborator
• Open minded, flexible, self-reflective and sincere
• Eager to learn and develop

Hiringdesk ATOS Nederland

Inschrijven
Utrecht
36
17/03/2020
17/03/2020
30/09/2020
Hiringdesk ATOS Nederland
SRQ139586
Locatie:
Startdatum:
Einddatum:
Uren:
Utrecht
17/03/2020
30/09/2020
36

Locatie: Utrecht
Start: z.s.m. 
Eind: 30/09/2020
Inzet: 36 uur per week                                                                                                   
Taal: Engels
Tarief: €75,-

ZZP: Niet toegestaan
Deadline: 18/3 om 13:00

Business Analist Trusted Data

Data Lake Background:
The Rabobank is working on a central Data Lake environment. At this moment four Data Lake DevOps teams share the responsibility for the set-up, development and maintenance of the Data Lake and Data Factory for Rabobank. This Data Lake is built on Azure Cloud and the environments and the teams are growing fast. We strive towards high performing, self-steering DevOps teams where team members take responsibility and are willing to learn. Within the team, where everyone is working closely together, each team member share expertise and also have their own specialism. Next to creating new functionality, maintenance, configuration, security, processes and procedures are also part of the responsibility of the DevOps teams.

Data Management is key:
To have an efficient, structured and reliable Enterprise Data Lake strong data governance is key. To strengthen and expand our data governance processes and to implement our data management tooling we are currently looking for a Business Analist for our Trusted Data team, who has experience with a wide range of Data Management topics like governance, privacy and data quality. Experience with protection/masking solutions and data quality solutions on a cloud data platform is a pre. As a Business Analist Trusted Data you are responsible for defining data governance processes and together with the scrum-team, defining and designing solutions for topics like data retention, data privacy (privacy by design), data lineage and data quality.

What do we expect?
Experience in data intensive projects, e.g. data warehousing or data lakes. Comfortable with applying consultancy skills and working together with other stakeholders in defining the right data governance processes for an enterprise wide cloud data platform. Familiar with data masking/protection related tooling, especially in a Cloud environment. Familiar with GDPR (AVG). Also worked in and with DevOps teams. Motivated to learn and improve in a flexible and dynamic environment.

What do we offer?
A challenging environment for talent in data. The teams are open and honest and all are willing to learn with specialists on specific areas in the data domain. The teams are all DevOps and work on continuity and innovations. The environment is dynamic and we are working with new technologies.

Experienced with:
• Data driven projects
• Microsoft Azure
• Data Management topics like Data Governance, Data Privacy, Data Access and Data Quality
• Experience with Data masking/protection tooling is a pre
• Scrum and DevOps methodologies
• Familiair with GDPR principles (AVG)

Competences:
• Data governance
• Strong communicator
• Great collaborator
• Open minded, flexible, self-reflective and sincere
• Eager to learn and develop

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