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WHO YOU ARE

Working in cross-functional teams, our Data & Analytics unit in the Customer Domain works to improve the digital customer experience for IKEA. To help our many data savvy co-workers achieve this, we are setting up a state-of-the-art data mesh.

We are looking for a Senior Data Engineer who can be a thought leader and a hands-on expert in setting up data as a product. This senior role will work specifically with data from our Customer Meeting Points (IKEA.com, the IKEA App, and stores).

Our diverse team within Data & Analytics is growing even more and we would love to talk with you, if you recognize yourself in some of the following:

• Strong knowledge of advanced data structures and distributed computing

• Strong knowledge of SQL for data processing and analysis

• Extensive knowledge of programming languages (e.g. Java, Go, Python, or Scala), including concepts from functional and object-oriented programming paradigms

• Broad knowledge of new and emerging tools for extracting, ingesting, and processing of large datasets (Apache Spark, Beam, Kafka, or equivalent)

• Good knowledge of Machine Learning models and how they rely on data feeds for their implementation

• Broad knowledge of digital product development principles and the importance of rapid validated learning cycles to optimise performance long term

• Broad knowledge of collaborative software engineering practices (Agile, DevOps), in which solutions evolve through the effort of self-organising cross-functional teams

• Excited about IKEA’s core values and vision of creating a better everyday life for the many people

• A team player who takes ownership, builds cross-functional relationships with senior peers and loves sharing knowledge with more junior team members

• A curious world class problem solver who wants to keep learning!

The IKEA culture and values are very much a part of our business and day to day work life. For you to thrive and grow with IKEA it’s important for us that you share our values! You can read more regarding our values and life at IKEA on our website http://www.ikea.com.


WHAT YOU'LL BE DOING DAY TO DAY

IKEA is taking huge steps in its digital transformation and our Data Engineers are working in cross-functional teams to transform IKEA into a more data driven company by building and supporting state-of-the-art data products.

This role will find a home in our Customer Domain meaning that majority of the work will focus on making the IKEA experience better for our customers.

Concretely, this Senior Data Engineer role will be driving the development of data products for our customer meeting points (ikea.com, IKEA App, Store). The Senior Data Engineer will not only be expected to work hands-on with data flows, but will also be a thought partner on questions like:

• How can data products enable the transformation of IKEA into a data driven company?

• What data products do we design, build, test and maintain to promote data consumption?

• How should we ingest, merge, transform and serve data to enable usage at global scale?

• What user needs do we prioritise first based, making the optimal choice between quick business impact and building for the future?

• What data products and mindsets should we evolve to empower not only our Data Analysts/Scientists/Stewards, but all co-workers?

• How can we ensure the reliability and quality of the data, and how do we educate team members in cross-functional teams about the importance of it?

• How do coach and develop our junior team members to become world class Data Engineers?

Perhaps you have your own ideas on problems to solve? Our ultimate goal is to create a better everyday life for the many people by creating a unique partnership with each customer. To do so, we want to give customers the most beneficial offer for them, exactly when they need it, and support them throughout their journey with IKEA in the best way possible.


OUR TEAM WITHIN IKEA

You will work in Data & Analytics together with other Data Analysts, Data Scientists, Data Engineers, Data Stewards and Data Architects. Together you will be joining cross-functional teams consisting of colleagues from Technology, Product, Design, that designs, implements and deploys products that help to solve these kinds of problems. Your job will be a mix of translating business needs into data products, designing data solutions for scale, coaching other data engineers – and of course writing code.

IKEA has long been a global leader in home furnishing. We are proud of our vision to improve the everyday life of the many people. But our industry is quickly changing, and we need to adapt to stay competitive.

As part of IKEA’s journey to strengthen our digital capabilities, we are building a Data & Analytics function. This team is working on problems across the company, ranging from customer modelling, pricing, online shopping, visual intelligence to logistics optimization.

We see so many opportunities for what we can accomplish and have the ambition to be a world class team. At the same time, we believe that our work is not just about building models, but also about learning and having fun together.


We can offer you:

• Work on some very interesting problems as described above, and you are encouraged to spot new opportunities or to collaborate with Data & Analytics colleagues in other specialist teams.

• Opportunities to have global impact with your work.

• Flexible and modern tools: we deploy on Google Cloud Platform and we use a lot of open source tools across the board.

• Hardware and OS of your choice.

• A team of great colleagues to learn with and from (with world-class experience across all aspects of Data & Analytics).

• Continuous learning (we aim to spend 20% of our working time on learning).

• Flexible and friendly working environment.

• Modern and well-equipped office in Malmö Hylie – less than 30 min away from both downtown Copenhagen and downtown Malmö



Detta är en jobbannons med titeln "Senior Data Engineer, Group Digital, Ingka Group" hos företaget Ikea it ab och publicerades på webbjobb.io den 9 oktober 2020 klockan 17:47.

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