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AI-Powered Job Summary
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We are a consulting company with a bunch of technology-interested 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 each individual is highly valued.
With us, each individual is her/himself and respects others for who they are and we believe that when a fantastic mix of people gather and share their knowledge, experiences and ideas, we can help our customers on a completely different level.
We are looking for you who want to grow with us!
With us, you have great opportunities to take real steps in your career and the opportunity to take great responsibility.
Job Description
We are looking for several Data Engineers to join our team and contribute to the development, maintenance, and optimization of modern data platforms and cloud-based API solutions. The role involves both operational support and ongoing development of data processes, pipelines, and integrations to ensure reliable and accessible data for business-critical applications and analytics.
As a Data Engineer, you will:
- Design, build, and maintain systems for collecting, storing, and processing large-scale data.
- Develop and test architectures for data extraction, transformation, and loading (ETL/ELT).
- Work with cloud-based solutions, primarily Google Cloud Platform (GCP).
- Build and maintain API solutions in the cloud, including critical sales and transactional flows.
- Take ownership of both development initiatives and operational maintenance tasks.
- Monitor, troubleshoot, and optimize data flows to ensure system reliability.
- Pipeline Management: Maintain and enhance processes for ingesting, transforming, and delivering data.
- API Development: Develop and maintain cloud-based APIs used by multiple applications.
- Incident Management: Troubleshoot and resolve issues such as API performance degradation, failed pipelines, or missing data.
- Availability & SLA: Participate in extended SLA coverage (including early mornings, evenings, and weekends) with a commitment to respond to incidents within 60 minutes.
Requirements
- Proven experience as a Data Engineer working with large-scale data systems.
- Strong hands-on expertise with Google Cloud Platform (GCP).
- Experience developing and maintaining APIs.
- Solid background in working with databases and large datasets.
- Familiarity with troubleshooting and incident management in production environments.
- Analytical and solution-oriented mindset.
- Structured and detail-oriented with a strong focus on quality.
- Strong communication and teamwork skills.
- Flexibility and willingness to take responsibility outside normal office hours when required.
Start: Asap
Location: Stockholm
Note: Candidates must currently reside in Stockholm, Sweden, or be eligible to work locally.
We interview candidates on an ongoing basis, do not wait to submit your application.
Key Skills
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