Snowflake Data Engineer
My client is looking for a Data Engineer/Datawarehouse Engineer to help them fully transform their data environment by building out a completely new cloud data platform within Azure. This is an exciting time to join them and lead this project!
The company's main focus is the automotive aftermarket, where they are the partner and distributor of world-leading manufacturers of car parts and accessories. With over 70 years of experience across multiple markets, they are incredibly stable and have a wealth of data potential at their fingertips. Their goal is to leverage modern principles and tools to become even more data-driven and automated.
As the Data Engineer, you will play a key role in designing, building, and maintaining data flows while collaborating with the business to understand how their data can create genuine business value-both internally and for their customers.
Responsibilities:
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Design, build, and deploy: Develop data solutions linked to vehicle and product data across multiple business units, including sales, supply chain, and product management. This involves creating robust and efficient data pipelines, working with ETL processes from various data sources.
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Data modeling: Optimize data structures for effective data management and analysis while monitoring system performance to identify and resolve bottlenecks.
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Collaboration: Work closely with stakeholders and other data and technology professionals to support the build of this new data platform.
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Stay updated: Research and apply the latest trends and best practices, initiating conversations and adoption of new technologies across the team.
Tech Stack:
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Snowflake
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Matillion
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DBT
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SQL
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Azure
* Power BI
Qualifications:
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Minimum of 3 years of experience as a Data Engineer, Datawarehouse Developer, BI Developer, or a similar role. While direct experience with data infrastructure and cloud setups is preferred, a strong interest in these areas is essential.
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Proficiency in SQL and ideally Python.
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Familiarity with cloud environments, preferably Azure. The tech stack includes Data Factory, Synapse, and Fabric, and you'll have a say in adopting new technologies.
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BSc/MSc in a relevant field.
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Curiosity and passion for data and emerging technologies, with excellent communication skills to translate business requirements into technical solutions.
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Professional fluency in Swedish is required.
What You Can Expect: In this position, you'll enjoy a high degree of trust and responsibility. You'll have the freedom to create your own solutions, take control of the data strategy, and make a significant impact on the organization.
Interested in finding out more? Apply with your updated CV today!
