Data Engineer
Philips Lighting
Amsterdam, Noord-Holland, Netherlands
4 dagen geleden

Job Description

In this role, you have the opportunity to create and optimize data pipelines in a form to be analyzed by Data Scientists.

They are software engineers who design, build, integrate data from various resources, and manage big data, striving to optimize the performance of company's big data ecosystem.

You are responsible for

  • Design, create, test and maintain data pipeline architecture in collaboration with the Data Architect.
  • Build the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies.
  • Support the translation of data needs into technical system requirements. Support in building complex queries required by the product teams.
  • Build data pipelines that clean, transform, and aggregate data from disparate sources
  • Develop, maintain and optimize ETLs to increase data accuracy, data stability, data availability and pipeline performance.
  • Engage with Product Management and Business to deploy and monitor products / services on cloud platforms.
  • Stay up-to-date with advances in data persistence and big data technologies and run pilots to design the data architecture to scale with the increased data sets of consumer experience.
  • Handle data integration, consolidation and reconciliation activities
  • You are a part of the data and analytics of the new Domestic Appliances organization in Amsterdam. This team will be responsible for driving a data-driven business globally.

    As we value diversity, we have a multi-functional and international team, with different points of view and new capabilities to strengthen and improve our omni-channel approach worldwide.

    To succeed in this role, you should have the following skills and experience

  • Bachelor or Master’s degree in a relevant field in Computer Science, Data Science, Mathematics or similar field and 5-7 year of related experience
  • Familiarity with latest best practices of data engineering
  • Hands-on usage of AWS data engineering / BI tooling
  • Experience using advanced SQL, python, big data, complex datasets
  • Adept at finding warehousing solutions, and using ETL (Extract, Transfer, Load) tools
  • Deep understanding of source data, semantics, and formats; solid knowledge of logical and physical data modelling concepts
  • Plus : understanding basic machine learning and algorithms
  • In return, we offer you

    A meaningful career, with new challenges in our dynamic organization, working in an encouraging multinational and multicultural environment.

    We are happy to provide you with this opportunity to work with new technologies. You will be surrounded by passionate and committed, colleagues who share your ambition to create outstanding customer experiences.

    Your work will be ambitious and full of opportunities for growth. Variety and challenge will be part of your daily routines.

    Why should you join Domestic Appliances?

    Philips’ Domestic Appliances business is a global leader with EUR 2.3 billion in sales in 2019 in kitchen appliances, coffee, garment care and home care appliances, with successful products such as the Airfryer, Perfect Care Steam Generators, Automatic Coffee Machines with LatteGo and SpeedPro Max Aqua vacuum cleaner, and many more that are used by millions of people every day across the world.

    In January 2020, Philips announced that it would be considering new ownership options for Domestic Appliances, as it is not a strategic fit for the company’s future as a health technology leader, and committed to finding the right home for the business to ensure that it is set up for continued success serving customers, leveraging the Philips brand and driving growth across the markets that it serves.

    In its 128-year history as a leading innovator, Philips has had to reinvent itself a number of times to remain competitive.

    This has involved several high-profile divestments, resulting in the company’s successful track record in managing complex change of this scale.

    Such transformations offer unique opportunities for employees to make their mark’ and gain expertise in a specific and dynamic environment - those who can deliver results while navigating and contributing to changes will gain unique skills and perspective that will prove valuable for the rest of their careers

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