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Data Engineer (AI/ML Focus)We are seeking a Data Engineer with a solid foundation in AI/ML and a minimum of 3 years of professional experience. In this role, you will collaborate with cross-functional teams to build and maintain scalable data pipelines, ensuring high-quality data is available for decision-making across the organization.<h3>Key Responsibilities</h3><ul><li>Data Governance &amp; MDM: Implement and maintain robust data governance practices, including master data management.</li><li>Modern Data Architectures: Work with Snowflake, dbt, and Power BI (or similar platforms) to design and optimize modern data pipelines.</li><li>Automation &amp; Scripting: Develop and maintain scripts (Python, SQL, etc.) to automate data governance processes.</li><li>Metadata &amp; Cataloging: Oversee data lineage, metadata management, and cataloging tools to ensure data integrity and accessibility.</li><li>Collaboration &amp; Communication: Partner with both technical and non-technical stakeholders to communicate complex data concepts clearly and effectively.</li></ul><h3>Qualifications</h3><ul><li>Professional Experience: At least 3 years of proven experience as a Data Engineer.</li><li>Technical Expertise: Hands-on proficiency in Snowflake, dbt, Power BI (or similar), and strong coding skills in Python and SQL.</li><li>Analytical Mindset: Demonstrated critical-thinking ability, with a keen eye for detail and problem-solving.</li><li>Team Player: Comfortable working in a fast-paced, collaborative environment to support data-driven initiatives.</li><li>Excellent Communication: Capable of simplifying and explaining intricate technical topics to diverse audiences.</li></ul><h3>What We Offer</h3><ul><li>The opportunity to work with exciting customers and tackle interesting problems across various industries.</li><li>A dynamic, supportive environment that values innovation and professional growth.</li></ul>

Data engineer

Stockholm

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Spark

Kafka

Hadoop

PyTorch

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