Data Engineer
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Ensure stable and secure operation of all live data products, providing 2nd‑ and 3rd‑level support across Snowflake, DBT, Streamlit, and Power BI. Partner closely with the delivery team to drive new data solution development and to implement significant enhancements to existing products. Troubleshoot incidents, perform root‑cause analyses, and manage small enhancements and configuration updates. Monitor data pipelines, system health, and KPIs while maintaining alerts, dashboards, and SLA/SLO compliance. Maintain documentation, configurations, access controls, and support lifecycle planning of data products. Collaborate with engineering, architecture, and business teams, communicating incidents, changes, and user guidance clearly. Strong hands-on familiarity with Snowflake, SQL, and DBT operational workflows. Working knowledge of at least one programming language (e.g., Python, SQL, JavaScript) for automation, data processing, or integration tasks) Understanding of modern data pipelines, ELT patterns, and data-product lifecycle. Experience with monitoring/observability tools (Snowflake dashboards, Power BI, custom Streamlit apps). Understanding of software product deployment and CI/CD concepts. Strong communication skills in English (written and spoken), structured problem‑solving, ownership mindset, and cross‑functional collaboration. Employee perks and benefits Employment contract for an indefinite period + 13th Salary 5% Annual bonus Flexible working time (core time 9-3:00) Home office possible 2 days a week Extra days of leave 2 Sick days per year Recreation allowance Referral program Travel allowance The third pillar of the pension scheme (up to 2,5%) Company mobile phone or phone allowance Support for professional and career growth, education and training
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Company Intel
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