In this role youll design and implement data-intensive solutions that power a truly data-driven organization. As a Data Engineer youll build data products aligned with our Data Mesh vision and target architecture. We value diverse technical backgrounds and believe youll thrive here if youre passionate about turning data into impact.
Responsibilities:
- Design build and maintain efficient and reliable data pipelines
- Develop and optimize data models for analytics and reporting
- Be a champion of DevOps mindset and principles in our context it is GCP (Google Cloud Platform).
- Collaborate with the Product Manager and Business Stakeholders to deliver high-impact data solutions.
- Ensure data quality integrity and security across platforms.
- Work with modern data technologies on a Cloud platform (e.g. GCP).
Qualifications :
- 4 years of hands-on experience as a Data Engineer on a cloud platform (preferably GCP) or in advanced analytics environments
- Strong proficiency in SQL with the ability to write and optimize complex queries
- Proven experience with big data DBT and ETL frameworks
- Hands-on experience with Terraform CI/CD pipelines and Git-workflow
- Experience with GCP services (e.g. BigQuery Cloud Functions Pub/Sub etc.)
- Proficiency in Python for data processing and automation
- Exposure to analytics workflows and data-driven product development
- Solid understanding of data warehousing data modeling and performance optimization
- A collaborative mindset with strong communication skills
Required cloud certification: GCP or expected to have certificate at latest 1 month after start if not already certified.
Bonus:
- Experience with SSAS or OLAP Cubes
- Business understanding of retail industry
Additional Information :
Remote: 40%
Start date: ASAP
Location: Stockholm
Form of employment: Full-time until further notice we apply 6 months probationary employment.
We interview candidates on an ongoing basis do not wait to submit your application.
Remote Work :
No
Employment Type :
Full-time
In this role youll design and implement data-intensive solutions that power a truly data-driven organization. As a Data Engineer youll build data products aligned with our Data Mesh vision and target architecture. We value diverse technical backgrounds and believe youll thrive here if youre passiona...
In this role youll design and implement data-intensive solutions that power a truly data-driven organization. As a Data Engineer youll build data products aligned with our Data Mesh vision and target architecture. We value diverse technical backgrounds and believe youll thrive here if youre passionate about turning data into impact.
Responsibilities:
- Design build and maintain efficient and reliable data pipelines
- Develop and optimize data models for analytics and reporting
- Be a champion of DevOps mindset and principles in our context it is GCP (Google Cloud Platform).
- Collaborate with the Product Manager and Business Stakeholders to deliver high-impact data solutions.
- Ensure data quality integrity and security across platforms.
- Work with modern data technologies on a Cloud platform (e.g. GCP).
Qualifications :
- 4 years of hands-on experience as a Data Engineer on a cloud platform (preferably GCP) or in advanced analytics environments
- Strong proficiency in SQL with the ability to write and optimize complex queries
- Proven experience with big data DBT and ETL frameworks
- Hands-on experience with Terraform CI/CD pipelines and Git-workflow
- Experience with GCP services (e.g. BigQuery Cloud Functions Pub/Sub etc.)
- Proficiency in Python for data processing and automation
- Exposure to analytics workflows and data-driven product development
- Solid understanding of data warehousing data modeling and performance optimization
- A collaborative mindset with strong communication skills
Required cloud certification: GCP or expected to have certificate at latest 1 month after start if not already certified.
Bonus:
- Experience with SSAS or OLAP Cubes
- Business understanding of retail industry
Additional Information :
Remote: 40%
Start date: ASAP
Location: Stockholm
Form of employment: Full-time until further notice we apply 6 months probationary employment.
We interview candidates on an ongoing basis do not wait to submit your application.
Remote Work :
No
Employment Type :
Full-time
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