Platform Engineer

<p><strong>About us</strong><br>At <strong>Techrytera AB</strong>, recruitment starts with you. We are a staffing and recruitment company with deep expertise and a clear focus on IT and Engineering. With our industry knowledge and close dialogue with both candidates and clients, we create precise matches where the right skills meet the right needs.</p><p>We believe that a truly great match is not just about a job description – it’s about your experience, your potential, and what you genuinely want to develop in. That’s why we always focus on the individual. By understanding your background, motivations, and ambitions, we can connect you with assignments and roles at our clients where you have the right conditions to grow and make an impact.</p><p>Our goal is to build long-term and meaningful collaborations – for both you as a candidate and for our clients.<br></p><p><strong>Job Description</strong><br><span><strong>Description</strong></span></p><p><span>We are looking for a Senior Platform Engineer to join the Firecrackers team within an Asset Data organization. The team develops and maintains data platforms and pipelines that enable the organization to make high-quality operational data accessible and valuable for analytics, data science, and development.</span></p><p></p><p><span>The assignment has a strong focus on Databricks and data governance. You will take an active role in developing and improving the Databricks platform setup, building scalable and reliable data pipelines, and strengthening governance capabilities across the data platform.</span></p><p></p><p><span>You will work closely with developers, Data Scientists, Machine Learning Engineers, and business stakeholders to translate requirements into governed, secure, and production-ready data products.</span></p><p></p><p><span>This assignment is a replacement for an existing senior Databricks consultant and therefore requires a high level of technical expertise, independence, and the ability to contribute effectively from an early stage.</span></p><p></p><p><span><strong>Key Responsibilities</strong></span></p><p><span>Design, develop, and maintain scalable data platforms and data pipelines with a strong focus on Databricks.</span></p><p><span>Drive improvements to the existing Databricks platform setup, architecture, and capabilities.</span></p><p><span>Develop and maintain robust ETL/data pipelines for large-scale operational data.</span></p><p><span>Design and implement data governance models, catalogues, and metadata management capabilities.</span></p><p><span>Ensure high standards for data quality, governance, discoverability, security, and compliance.</span></p><p><span>Implement and manage Infrastructure as Code (IaC) solutions for Databricks and related cloud services.</span></p><p><span>Enable automated, reliable, and reproducible infrastructure and platform environments.</span></p><p><span>Design and implement technical solutions for complex data and platform challenges.</span></p><p><span>Collaborate with developers, Data Scientists, Machine Learning Engineers, and business stakeholders.</span></p><p><span>Translate technical and business requirements into governed and production-ready data products.</span></p><p><span>Contribute to the continuous development, operation, and maintenance of the team's data platform.</span></p><p></p><p><span><strong>Education & Technical Skills</strong></span></p><p><span>Degree in Computer Science, IT, Engineering, or equivalent relevant experience.</span></p><p><span>Strong hands-on experience with Databricks and Spark.</span></p><p><span>Strong experience with cloud-based data platforms, preferably AWS.</span></p><p><span>Strong programming skills in Python and SQL.</span></p><p><span>Experience designing and developing ETL/data pipelines.</span></p><p><span>Experience with Infrastructure as Code (IaC) for Databricks and related cloud infrastructure.</span></p><p><span>Strong understanding of data governance, data quality, metadata management, and data discoverability.</span></p><p><span>Experience designing scalable, robust, and secure data platform solutions.</span></p><p><span>AWS and/or Databricks certifications are considered a strong advantage.</span></p><p></p><p><span><strong>Experience & Skills</strong></span></p><p><span>Several years of professional experience as a Data Engineer, Platform Engineer, or in a similar senior data engineering role.</span></p><p><span>Proven hands-on experience working with Databricks in production environments.</span></p><p><span>Experience designing, developing, and maintaining medium- to large-scale data platforms.</span></p><p><span>Strong understanding of data platform architecture and modern data engineering practices.</span></p><p><span>Experience implementing governance capabilities within complex data environments.</span></p><p><span>Ability to independently drive technical improvements and solve complex platform an