Senior Data... Location:... Job type: Full... WB Data Management is building the next release of its Data Lake. To develop this release, we are looking for a Senior Data Engineer to join our team of experts. The...
Senior Data Engineer
Job type: Full time
WB Data Management is building the next release of its Data Lake. To develop this release, we are looking for a Senior Data Engineer to join our team of experts.
The new team member will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
Our ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Experience in the Agile methodologies would be a perfect fit, able to slice and dice work/ideas in clear stories and tasks. The candidate will be excited by the prospect of re-inventing and re-designing the data architecture to support our next generation of our Data Lake and is able to derive a roadmap plan for this. Currently we start moving to a (near) real-time datalake.
You will be working in a team where you will learn, share your knowledge, have fun, together with top data engineers. The Data Engineer will actively support our software developers, database engineers and data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
Roles and responsibilities
How to succeed
We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself.
We are looking for a candidate with 5+ years of experience in a Data and/or Software Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
Experience using one or more of the following software/tools:
NiFi, Groovy, Hive, HDFS
object-oriented/object function scripting languages: Java, Spark, Scala, Flink and Python.
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience with stream-processing systems like Kafka and/or Flink.
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. In both batch and real-time data integration.
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
Experience with ETL processes and tools
Experience working in a DevOps environment. CI/CD, Azure DevOps, Test automation, Docker
Excellent communication skills, both verbally and in writing, to be able to align with various stakeholders and cross border squads
Results oriented, determined and having a self-driven attitude
Understanding of Agile - Scrum methodology
Rewards & benefits
We want to make sure that it’s possible for you to strike the right balance between your career and your private life. You can find out more about our em
ployment conditions at
The benefits of working with us at ING include:
Contact the recruiter attached to the advertisement for more information. Want to apply directly? Please upload your CV and motivation letter by clicking the “Apply” button.
With 57,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business. Do you want to work at the cutting edge of what’s possible and at the same time ensure you work with integrity and hold the customer’s interests at heart? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues? Then there is no better place to invest your talents than at ING. Join us. Apply today.
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