Data Platform Engineer
Data Platform Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Company Description
The goal of Range Experience IKEA Planning experience is to support and empower customers to find their personal best home furnishing solutions. We run and develop digital solutions used by customers and coworkers enabling them to design homes and home furnishing solutions for the entire IKEA range for all IKEA retailers. Part of our portfolio are planning solutions for Kitchens Bathrooms Storage solutions Beds... Our next big step ahead will be to enable customers to design their full homes.
Our customers should experience an inspiring fun simple and rewarding planning journey based on their needs and preferences. Our coworkers and service partners should experience a fun efficient and unbroken sales process.
The solutions and capabilities we develop are an integral part of the entire seamless buying and selling experience and a key contributor to converting visitors into happy customers and to engaging with our customers from the start. Utilising data around and about our products to create more personalised experiences is an integral part of the work we do.
Range Experience deliver solutions to all IKEA retailers spanning over 50 markets worldwide and over 400 stores and IKEAs digital channels. All solutions are made to help customers and coworkers in all customer meetings from a mobile phone to the largest IKEA store in the world.
Being a Data Engineer in the Range Experience team
As a Data Engineer in the Range Experience team you will be responsible to design build and maintain the data pipelines and tools that enable our teams to work in a data driven way. You will work very close to other Data engineers Data scientists Product teams and other stakeholders. You will be part of creating solutions that enable customers to design any space in their homes and businesses and configure home furnishing solutions digitally. Exploring and utilising different technologies and approaches to achieve the best result is a natural part of everything you do. With your data driven mindset you are a strong ambassador and driver for the data literacy and culture in Range Experience.
To be successful in this role
You are passionate about generating continuous value through providing analysing and utilising data and together with other Data engineers Data scientist product team(s) and other stakeholders. You thrive in understanding data needs and assisting in development of models and analysis.
You have an interest and proven track record in finding the most efficient ways to extract transform and load data from different sources to ensure that our digital solutions fulfil and adapt to actual and future business needs. Staying up to date with the latest technologies and best practices in data engineering and bringing this specialised knowledge to the whole organisation is a part of your toolbox. You have a great interest in the world around you andkeepyourself updated with the latest trends and future technology just as we do.
You make mistakes sometimes that keep you evolving and learning as you are not afraid to find new ways to solve a challenging task together with your colleagues.
Your main responsibilities as the Data Engineer will be:
- Collaborate with engineers product managers and data scientists to understand data needs representing key data insights in a meaningful way
- Influence product and crossfunctional teams to identify data opportunities to drive impact
- Optimize pipelines to enhance data quality and reliability
- Contribute to the development of analytical tools and programs ensuring easy and standardised access and sharing of data.
- Mentor and coach junior data engineers in the team.
- Ensure application and consistency with relevant digital frameworks principles guidelines and standards.
- Document and make the relevant knowhow available.
Required/Relevant work experience:
- Strong knowledge in designing efficient robust and automated data pipelines ETL workflows data warehousing and Big Data processing.
- Develop and implement a scalable data architecture to manage store and process large datasets generated from customer facing applications.
- Influence product and crossfunctional teams to identify data opportunities to drive impact
- Advanced experience with Python or PySpark is required.
- Proficiency in cloud platforms (e.g. AWS Azure or Google Cloud) for data storage and processing.
- Experience in applying new cuttingedge data engineering methods to improve performance of data flow
- Experience preparing data for Data Science and Machine Learning.
- Preferred experience in a product environment.
- Excellent problemsolving skills and a proactive approach to challenges.
You enjoy an Agile and iterative yet structured way of working and achieving results together with a team in a flexible environment but also have a strong individual drive to deliver high quality results on time. You have great communication and networking skills and are fluent in written and spoken English.
Qualifications:
- 5 years of experience where the primary responsibility involves working with data. This could include roles such Software Developer Backend Developer and/or Data Engineer.
- Demonstrable experience with data modelling and Python/Pyspark
- Demonstrable experience with Airflow or use of any other engineering workflows
- Bachelors degree within Engineering Computer science Information Systems Mathematics or related fields. Masters degree is preferred within Engineering Computer science Information Systems Mathematics or related fields.
- Experience of working alongside multiple teams and with an understanding of multiple product environments.
Additional Information :
This role is fulltime (40 hours per week) and is based in Malm Sweden. Travelling based on business needs might be necessary. This role sits within Range Experience and reports to the Architecture Manager.
At IKEA we are looking for people who believe everyone deserves a seat at the table.Youre welcome no matter where you come from what you believe and what you look like. We dont even care how you have furnished your home. Were interested in you simply because youre you.Even if your experience doesnt align perfectly with every qualification in the job description we encourage you to apply anyway.We believe that peoples different perspectives backgrounds and personalities make us better at understanding our customers dreams and needs. At IKEA wereall on the same project.
If you have a special need that requires accommodation in the recruitment process just let us know.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
