Data Engineer- Senior/Expert
- Full-time
Company Description
We are a consulting company with a bunch of tech-savvy and happy people!
We love technology, we love design, and we love quality. Our diversity makes us unique and creates an inclusive and welcoming workplace where every individual is highly valued.
With us, everyone can be themselves while respecting others for who they are. We believe that when an amazing mix of people come together and share their knowledge, experiences, and ideas, we can help our clients on a completely different level.
We are looking for someone who can start immediately and wants to grow with us!
With us, you have great opportunities to make real progress in your career and the chance to take on significant responsibility.
Job Description
In this role, you’ll design and implement data-intensive solutions that power a truly data-driven organization. As a Data Engineer, you’ll build data products aligned with our Data Mesh vision and target architecture. We value diverse technical backgrounds and believe you’ll thrive here if you’re 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.