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Data Engineer - Miele X

Location: Amsterdam
Employment: Full-time

Job overview

As a Data Engineer at the Miele X Data & Analytics group, your goal is to implement innovative solutions for our data engineering projects to enable rapid experimentation, increase the accuracy of our models, algorithms and systems and ensure high data quality to transform Miele X’s products and customer experience. There are numerous exciting challenges and opportunities in various themes. You will work with the team to build a modern, automated and data engineering-centric function for your colleagues in marketing, product, e-commerce, and operations to get X done.

Putting the customer at the forefront of our thinking and building world-class data and digital products that combine state-of-the-art data, processes, models, algorithms, and systems that are ‘forever better’ is paramount for the team. Delivering the best data and analytics experience possible. To as many people as possible. In as many moments as possible is what we do every day at MXA D&A group.

Your day-to-day job

  • Following the policy and standards for the Data Platform set by the Head of Data Integration and the Data Architect. Making sure data is provided properly, to the right people, is of the highest possible quality and that all PII data is treated according to GDPR and local legislation where applicable.
  • Building, improving and maintaining the data pipelines and Data Platform.
  • Inspiring and supporting the Data Integration Team to realize an optimal contribution to the end result of the organization.
  • Ensuring a high standard of quality (E.g. employee satisfaction, overall data integration / availability performance, customer satisfaction, efficient and effective processes).
  • Creating synergy within the entire organization by striving for optimal performance, connections and mutual commitment between individual business units.

Your benefits

  • warm welcome and structured on-boarding
  • competitive salary and bonus scheme
  • working in a hybrid model
  • 25 days paid annual leave
  • personal development budget
  • up to 45% discount on Miele products
  • regular work-social activities
  • NS Business Card and Swap Fiets
  • retirement plan fully covered by Miele X

We are looking for

  • At least 5 years experience as a data engineer.
  • Fluent in English.
  • Expert SQL knowledge.
  • Good knowledge of data engineering standards.
  • Good knowledge of the Azure data platform, such as Azure Data Factory, Azure SQL, Azure Synapse Analytics, Azure Data Lake Storage, and other modern cloud data platforms.
  • Good knowledge of data warehousing.
  • Good knowledge of GIT for version control.
  • Experience with CI/CD concepts such as deployment pipelines.
  • It's beneficial to have experience with the following: Apache Spark, Python, Databricks, Airflow.

Our recruitment process

  • Intro with a recruiter
    • Within 3 working days
  • First interview
  • Second interview
  • Final interview
  • Offer
  • Contract
    • Maximum 3 weeks

Be part of our journey

We’re the global digital hub for a trusted, iconic worldwide brand. A mix of diverse teams with different skills, expertise and outlooks.

Always collaborating. Always learning. Always inspiring each other. A dynamic, entrepreneurial business, working closely with Miele HQ and offices around the world. Creating premium digital experiences. Driving online growth. And delivering better for our customers.

You’ll find a place with an open, inclusive vibe. Where your voice matters and your ideas are listened to. Where you’re empowered to make decisions and deliver innovative solutions. And where you can make a real impact on the digital future of an admired, 120-year-old global brand.

We are looking forward to your application!

What’s next? You decide.



Information and application:


Please send your application for Data Engineer at Miele X in Amsterdam including your CV via our website.

Job posted

26 september 2022
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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