What we offer
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Work in a Scandinavian culture built on logic, trust, and open dialogue.
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Health and sports benefits tailored to your needs.
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Speed Coaching – short sessions designed to provide new perspectives and solutions.
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Sports training, an internal team, and opportunities to take part in competitions.
Areas of responsibility:
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Building and maintaining data pipelines - Designing, building, maintaining and monitoring batch and streaming data pipelines, as well as developing and optimizing secure, scalable and reliable ETL/ELT workflows on a cloud-based data platform
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Data modeling and data product development - Implementing data models that support AI, analytics, reporting and operational use cases, while ensuring data quality, observability, lineage, security and governance across all data assets
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Business collaboration and architectural impact - Working with business stakeholders in value streams to translate their needs into actionable plans and data products, refining those products iteratively, and contributing to architectural decisions and best practices for cloud-based data platforms within an international Data & AI team
What you need to join us:
Must have:
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3+ years of experience as a Data Engineer or in a similar data-focused role, including building data pipelines and ETL/ELT workflows,
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Bachelor's or master's degree in Computer Science, Data Engineering, Information Systems or a related field
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Advanced SQL skills, including query optimization and working with large datasets, and good Python skills for data processing and automation
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Strong data modeling skills - dimensional modeling, star schemas, domain-oriented modeling, merging, joining, filtering and transforming structured and semi-structured data - and the ability to build clean, validated and deduplicated datasets that accurately reflect business rules
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Domain understanding - translating stakeholder needs into data product designs, refining them iteratively together with the business, and the ability to challenge requirements and propose better solutions
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English at C1 level or higher
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Ability to work in the Czech Republic (citizenship, residence permit, visa, etc.)
Nice to have:
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Experience with cloud-based data platforms and streaming data processing
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Experience in data quality, observability, data lineage and data governance
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Senior-level experience in backlog ownership, prioritization and delivery coordination
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Ability to translate business demand into feature-level backlog items
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Stakeholder management, including working with Stream Leads and Epic Owners
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Experience coordinating dependencies, delivery risks, releases and handovers
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Sufficient technical understanding to discuss and represent simpler platform topics
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Experience from data/platform environments and Agile/DevOps delivery
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