What does a Data Engineer at Coolblue do?
You love to take part in designing and building data processing pipelines that combine and transform raw data to create valuable analytics using a combination of SQL and Python. You are eager to learn and explore with the team opportunities to build data products using industry standards technologies in a multi-cloud environment.
You are super enthusiastic about what you do and always look for new opportunities to improve our data products and help the business gain valuable data driven insights.
You are confident in your skills in different technologies and you use all opportunities to coach your colleagues about those topics by pair programming with them and presenting inspiring demos. Would you also like to become a Data Engineer at Coolblue? Read below if the job suits you.
You enjoy doing this
- Work with data! You love to get some raw data and transform it into actionable insights that can be used to steer the future of Coolblue.
- Sharing knowledge through pairing, code review, presenting, training and coaching your colleagues.
- Be autonomous and eager to learn new technologies by experimenting with your team, attending online courses, and training provided by Coolblue.
- Be proactive and keep constant communication not only with your team members but also with colleagues working at the business side. Collaborate with them, learn from them and share your findings with the team. Find new ways to serve the business with data!
- Work and advocate an agile mindset.
This calendar makes you happy
Week 50
- MonMonday
- TueTuesday
- WedWednesday
- ThuThursday
- FriFriday
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Daily stand-up Data Engineers
Daily stand-up Data EngineersStart with team. Short update about your tasks and progress.
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Processing feedback from stakeholders
Processing feedback from stakeholdersProcessing feedback from the Data Science team
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Whiteboard discussion
Whiteboard discussionWhiteboard discussion with the Hosting Team about data processing
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(Digital) Coffee with Guru
(Digital) Coffee with GuruTechnical catch up about Kafka and our Data Streaming Platform
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Coaching session with Yatendra
Coaching session with YatendraCoaching session with Yatendra about AWS
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Daily stand-up Data Engineers
Daily stand-up Data EngineersStart with team. Short update about your tasks and progress.
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Watch Pieter update
Watch Pieter updateVideo update from our CEO Pieter
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Demo Data Engineering
Demo Data EngineeringPresentation results last month + upcoming projects
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Pitch new idea
Pitch new ideaPitch about a new Data Product that you are thinking of to our Product Owner
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Brainstorm Airflow
Brainstorm AirflowDiscuss with the team how the Airflow Cluster can be improved
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Daily stand-up Data Engineers
Daily stand-up Data EngineersStart with team. Short update about your tasks and progress
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Pair Programming
Pair ProgrammingDeveloping together with Python 3+
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Teamlunch
TeamlunchHaving lunch with the team
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Refinement
RefinementThe act of breaking down and further defining Product Backlog items into smaller more precise items. This is an ongoing activity to add details, such as a description, order, and size.
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Meeting with PO
Meeting with POEvaluate experiments with the recommender product
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Daily stand-up Data Engineers
Daily stand-up Data EngineersStart with team. Short update about your tasks and progress
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Sprint planning
Sprint planningDiscussing about picking up tasks for the coming two weeks
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Training 'Discover your qualities'
Training 'Discover your qualities'You learn how to become more effective by using your qualities wisely.
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Outdoor walking with Livia
Outdoor walking with LiviaWalking together in a park
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Meeting with Team Lead Rafael
Meeting with Team Lead RafaelCoaching session about GCP
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Daily stand-up Data Engineers
Daily stand-up Data EngineersStart with team. Short update about your tasks and progress
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Retrospective
RetrospectiveWhat went well last sprint? What could be better next sprint?
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Last minute meeting with Oguz
Last minute meeting with OguzAbout the new features of Airflow 2+
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Fill in the feedback form colleague
Fill in the feedback form colleagueFor evaluation, check projects we have done together
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Weekend drinks with Cloud Team
Weekend drinks with Cloud TeamCelebrating the weekend with our Cloud heroes
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You recognize yourself in the following
- You have at least 3 years of relevant work experience as a data engineer or similar.
- You are proficient with ETL best practices and can implement these via e.g. Airflow.
- You are proficient in Dimensional Model techniques and can implement these via e.g. dbt.
- You are proficient in SQL and at least one programming language (Python is a plus).
- You have experience with Big Data on Google Cloud Platform or AWS.
- You are familiar with streaming processing and you previously worked with frameworks like Kafka or Dataflow.
- You have experience with continuous integration (Teamcity, CloudBuild), logging and monitoring (Datadog).
- You have experience with helping others to improve their craftsmanship and technical skills.
This is what you’re looking for in a job
- Money.
- Over 30 training courses at our own Coolblue University.
- Relocation assistance: from A to Z. We will make sure it goes well and give full support.
- Travel allowance and a retirement plan and where-you-work-allowance.
- 25 days of leave. As long as you promise to come back.
- A discount on all our products.
- An extraordinarily good work environment with colleagues from all over the world who make you happy, epic Coolblue parties, pubquizzing, and other activities.
- Working together in an international environment with colleagues from the Netherlands, Belgium, Germany, Spain, Turkey, Brazil, Mexico, and Italy, among others.
- Room for new initiatives and ideas. We’re always open to those, whether you’ve been with us for a week, a month, or a year.
- Hybrid working: a fine balance between working at the office and working from home. Of course, we’ll help you create the best home-office possible. Including desk chair, laptop, and blue garlands.
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Does Coolblue offer a hybrid workplace?
Working at the office makes us happy, that’s why we are working partly from home and partly from the office.
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Can I live outside the Netherlands and still work in the Tech department of Coolblue?
No, it’s not possible to work from abroad as a Tech colleague. We like collaborating in a digital way, but over this last year we’ve seen that doing a retrospective, a pair-programming session, or grabbing a drink in real life is much more fun. That’s why we like everybody to be in the Rotterdam office at least 4-8 days a month on average. Together with your manager, you decide how often you and your team really meet in the office.
Besides that it’s much more fun to see each other in real life, there are also some tax regulations that make it hard to work from abroad.
For a lot of vacancies, we have the possibility to help you (and your family) to relocate to the Netherlands. Visit our relocation page for more information about moving to the Netherlands. -
How often do I go to the office?
Together with your manager, you decide how many days you and your team will be in the office. On average, this will be at least 4-8 times a month.
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Do you help new colleagues relocate?
Yes, we do this for most vacancies. If the vacancy you’re interested in has a relocation sign on top, it means we’ll help you (and your direct family) to relocate. You can find more information on our relocation page.
Do I need to live in Rotterdam when I move to the Netherlands?
No, that’s not necessary. The Netherlands is a small country, so if you want to live in Amsterdam, Utrecht, or Tilburg, that’s okay. As long as you are able to meet your team in the Rotterdam office around 4-8 times a month, you can live wherever you want.
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Can I keep developing myself?
Coolblue University: learning at Coolblue, in a different way.
With over 30 training courses in our own Coolblue University, you can get a little bit better every day. At Coolblue, we go back to school sometimes. But not by sitting there quietly and just listening. The training courses aren't boring, but interactive. You have to do exercises and have discussions with others. At the Coolblue University, we choose what we want to learn, so we can continue to develop en become real experts. For example, a Delivery Driver needs different training courses than a Customer Service Employe and a starter needs different courses than a manager.
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1
APPLY
Go for it
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2
PHONE CALL
It's for you
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3
1ST ROUND
Ready, set, go
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4
ONLINE ASSIGNMENT
Just a taste
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5
2ND ROUND
Go for the fridge
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6
CONTRACT
I do
