Data Engineer - Enablement Team
H & M Hennes & Mauritz Gbc AB / Datajobb / Stockholm
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Are you an experienced Data Engineer evangelist, looking for a new challenge in enabling building the next generation self-service modern data platform on cutting edge technology and global data?
Then this is an opportunity for you to join us as a Data Engineer, enabling, supporting and promoting various teams in moving into the future.
Company Description
We are on a journey to bring data and analytics to the forefront of innovation. Our vision is to lead the H&M Group to become the most insight-driven organization on Earth. We will do so by providing relevant, high-quality, and self-service analytical products and platforms, and thereby simplifying and improving our customers everyday decision takin.
We do this with an agile mindset and methodology closely with our friends in the whole H&M Group where we always keep the customer in focus. In Analytics and Data Platform Product Area our motto is to engage, learn, share, inspire and have fun.
Job Description
What you will do In this role you will play a vital role for us in our mission to make the H&M group a truly data and insight driven company democratize data providing a modern self-service data platform.
This role focuses on shaping our next generation data platform to build and manage their data assets @scale across the whole organization targeted towards Analytics/BI and AI. You will be an expert in the different components that build the data platform. As expert you will enable, educate other product teams in how to use, configure and improve these components.
Responsibilities
• Be an expert in the components that are built for the data platform
• Onboard Product Teams onto the platform by educating, supporting teams
• Feedback improvements to central team
• Make adjustments to components
• Advocate a DevOps mind-set, enabling teams by providing the right amount of self-service infrastructure
• Develop automation routines for infrastructure provisioning and releases
• Work with cross-functional initiative and collaborate with product teams across the whole organization
Who are you
We are looking for someone that is smart, humble, and hungry in helping us build our next modern data platform. You will play a key role in our data transformation journey. In order to succeed, we believe that you have previous experience in building, testing and maintaining data pipelines as well working with Big Data technologies. You thrive in sharing knowledge and act as evangelist for data analytics.
Qualifications
• 5+ years' experience of software development and testing in the field of Data & Analytics
• Experienced in Cloud Engineering and Cloud Services (GCP, Azure, AWS)
• Expertise in infrastructure as code & codification (e.g., Terraform, Ansible)
• Experience in container orchestration & tooling (e.g., Kubernetes)
• Experience in data transformation (e.g., dbt)
• Experience in setting up scalable, service-oriented, service- and/or data-mesh architectures
• Experience in object-oriented programming languages such (Java, Scala, Python)
• Experience in agile methodologies and applying Dev(Sec)Ops and DataOps
• Fluent in English both written and verbal
• Passion for people and interest for technology
• Passion for sharing knowledge
Additional Information
This is for full-time positions with placement in Stockholm.
Please apply with a CV as soon as possible, as a part of the process you may be asked to complete a test connected to engineering. Interviews will be held continuously. And we love code! So If you have contributed to Github project(s), also send those to us together with the CV. We are more than happy to take a look!
Publiceringsdatum2022-04-12Så ansöker duSista dag att ansöka är 2022-05-12
Klicka på denna länk för att göra din ansökanAdressH & M Hennes & Mauritz Gbc AB
Årstaängsvägen 13
10638 Stockholm
Omfattning Detta är ett heltidsjobb.
Arbetsgivare H & M Hennes & Mauritz Gbc AB (org.nr 556070-1715)
Årstaängsvägen 13 (
visa karta)
106 38 STOCKHOLM
Arbetsplats IT-Avdelning
Jobbnummer 6534465
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