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A leading global company in outdoor power products is seeking a Data Engineer to enhance their data processes. This role involves developing cloud-based data solutions and collaborating with cross-functional teams, requiring a strong technical background and excellent communication skills in English and preferably German.
Strong brands. Innovative products. And a unique team! This is the Husqvarna Group, the world’s largestproducer of outdoor power products for forestry, lawn and garden, and construction. Join us and useyour creative ideas and enthusiasm to further advance our premium brands such as Husqvarna andGardena. In exchange we will offer you the exceptional opportunity to develop our product portfolio,our company and, above all, your career. Discover the Husqvarna Group, achieve great results andexperience a promising future.
Data-driven decisions are key for us. We are looking for a Data Engineer to improve our ability to set up process and data chains from source systems to KPIs and consuming systems.
You will be working on technical as well as organizational aspects within Gardena and the wider Husqvarna group, meaning a good balance of soft and technical skills is key.
There is a wide variety of tools and systems in use, so the ability to quickly adapt to new and changing environments is more important than in-depth knowledge in any one specific system/tool.
Your Tasks:
You will work in a cross-functional team that provides solutions and support for the full spectrum of data related issues
You develop, maintain and improve cloud based end-to-end data pipelines and applications
Your work will touch on aspects of (data) architecture, data analytics, data science/ML and data visualization as needed
You will translate business requirements and problems into data processes and take charge of planning and implementation within a complex environment
You will be expected to plan, present and argue the case for pragmatic solutions balancing governance issues, requirements, available resources, delivery timeline and long-term viability
You should have the following skills:
Degree in computer science, artificial intelligence, data science, information technology or a related field and several years of professional experience in data engineering or adjacent fields
Proven experience in setting up and maintaining cloud based (Deep Azure and AWS knowledge is prefered) end-to-end data pipelines, possibly using tools like Azure Data Factory and dbt.
You are proficient in SQL and able to construct/profile complex queries and have some knowledge of data modeling. Experience with database/data processing platforms like Databricks, Snowflake or similar is needed
Experience in shell scripting, Python, DevOps, CI/CD (Azure DevOps) and IaC (Terraform, AWS CloudFormation)
Knowledge of SAP data structures is an advantage and some knowledge with reporting systems like PowerBI is desirable
Very good written and spoken English skills are mandatory when working with other Husqvarna Group divisions
German language skills are an advantage when communicating with the business departments
You show a high amount of self-reliance and are willing to take charge of projects
You have good presentation skills and can adjust your message to different audiences; this includes being able to break down complex topics
You are willing to question and challenge existing structures while maintaining a solution-oriented way of working
The future:
Experience a dynamic and challenging environment. Bring your enthusiasm for innovation to a companythat is simply different. And which - in addition to an open, team-oriented atmosphere - also has a lot tooffer you in terms of your career
Last date to apply:
We are continuously accepting applications