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Data Engineer - Robeco

Location: Rotterdam
Employment: Full-time
As Data Engineer you are responsible for realizing solutions to fulfill the data requirements of our stakeholders.

Department COO Enterprise Data Management 

Within COO, the Enterprise Data Management department is responsible for maintaining and delivering high quality investment related data throughout the Robeco organization.  

The data required by the Robeco organization is rapidly growing. Internal stakeholders are continuously demanding more data to support their (investment) processes, where time to market and quality of the data is key. The Enterprise Data Management department consists of 3 teams: Data Operations (operational data handling and validation), Data Assurance (monitoring data quality and expand new data services) and Data Technology (IT development on data related systems and applications). These teams works closely together with a lot of stakeholders like Front Office, Client Services, Risk Management and IT functions. 

To enhance our team and support the increasing demand for data we want to expand our team with a data engineer, who will be part of the Data Technology team.    

Position & Requirements

Job responsibilities Data Engineer 

As part of our scrum team, you are responsible for realizing solutions to fulfill the data requirements of our stakeholders. You will do this by translating requirements into technical solutions in systems like MarkitEDM, Mulesoft and PowerCenter. Furthermore, as a data engineer, you are capable to act as an advisor to the client, architects, and your peers on the best possible (technical) solution. Beside the desire to deliver quality solutions, you are also involved in the entire release process. Hence you will be supporting in the testing, documenting and releasing of your changes. 

Main activities of a Data Engineer  

  • Development in systems like Markit EDM, MuleSoft and PowerCenter 
  • Active participation in Scrum Ceremonies such as refinement, sprint planning and retrospective. 
  • Testing and peer review of the work of your colleagues 
  • Cooperation with the client to understand the requirements 
  • Overseeing production releases, including documentation.?  

Requested skills / competences 

You are a highly motivated professional who likes to work in a dynamic environment with multiple, demanding stakeholders. You are a flexible team player with strong problem-solving and analytical capabilities who is comfortable in working under tight deadlines. You have at least a bachelor degree (or equivalent) of MSc. / BSc. in Science or equivalent and must be fluent in English, with good (verbal and written) communication skills. The candidate should thrive in an Agile team, where there will be a close cooperation with the client and other team members. Knowledge of market data and financial instruments is preferred.  

You also have the following skills, knowledge or experience: 

  • Good communication skills in Dutch and English (verbal and written); 
  • Ability to troubleshoot and analyze data issues in a structural manner;?  
  • Around 8 years of experience in a similar role would be a pro;  
  • Positive, proactive and pragmatic with a "can do" mentality, with ability to prioritize activities; 
  • Identifies and initiates improvements on processes and tooling (automation) and collaborates in improving activities; 
  • Team player with organizational sensitivity; 
  • Knowledge or experience with systems such as MuleSoft, PowerCenter is preferred.  

Other 

  • Start asap; 
  • Minimum of 4 days per week / 32 hours 
  • Laptop will be provided in order to work from home 

All applications will be treated with the utmost confidentiality. An assessment and integrity test may be used in the selection procedure.

Location:

Rotterdam

Information and application:

Apply:

Please send your application for Data Engineer at Robeco in Rotterdam including your CV via our website.

Job posted

24 juni 2021
Apply Now

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Carrière als Big Data specialist

Onze (digitale) wereld is steeds meer data gedreven. Door verschillende databronnen te combineren en gebruik te maken van slimme algoritmen, kunnen voorheen onzichtbare verbanden worden blootgelegd, waarbij het niet alleen draait om data volume, maar ook om een specifieke manier van denken. De vraag naar Big data specialisten is groot en zal verder toenemen.

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Nienke Smit
Nienke Smit
E-mail
06-41454957

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Pieter Lammers
Pieter Lammers
E-mail
06-41454956

Linkedin   Twitter