Staff Data Engineer

Job Description

<p><b>Role</b> - Staff Data Engineer</p><p><b>Length</b> - 6 month contract (extension potential)</p><p><b>Location </b>- Downtown Toronto (1 day onsite)</p><p><br></p><p><b>Your New Company</b></p><p>Join a forward-thinking organization that leverages data to drive innovation and deliver exceptional business outcomes. You'll be part of a team that values technical excellence, collaboration, and strategic influence in shaping enterprise data solutions.</p><p><br></p><p><b>Your New Role</b></p><p>As a <b>Staff Data Engineer</b>, you will lead the design and development of scalable data platforms and BI solutions that enable advanced analytics and decision-making. This is a senior-level role that combines <b>Data Engineering</b> and <b>Business Intelligence</b> expertise, requiring you to architect data solutions, implement governance frameworks, and build custom engineering pipelines. You'll work closely with stakeholders across the business, influencing strategy and ensuring data quality, security, and accessibility.</p><ul><li>Architect and implement <b>data lakes</b> and <b>data lakehouse</b> solutions.</li><li>Build custom data engineering pipelines using <b>Python</b>, <b>Java</b>, and <b>SQL</b>.</li><li>Design and optimize BI frameworks for <b>data governance</b>, <b>cataloging</b>, <b>quality</b>, <b>security/privacy</b>, and <b>data modeling/curation</b>.</li><li>Develop dashboards and reporting solutions using <b>Looker</b> and other BI tools.</li><li>Manage data flow and processing using <b>Scala</b> and distributed systems.</li><li>Collaborate with stakeholders to translate business needs into technical solutions.</li><li>Drive best practices for data architecture and engineering across the organization.</li></ul><p><br></p><p><b>What You'll Need to Succeed</b></p><ul><li>10+ years of experience in <b>Data Engineering</b> and <b>Business Intelligence</b> roles.</li><li>Proven ability to lead and influence as a senior data leader.</li><li>Strong experience with <b>data lakes</b>, <b>data lakehouse</b>, and enterprise-scale data architecture.</li><li>Hands-on expertise in <b>Python</b>, <b>Java</b>, and <b>SQL</b> for building custom solutions.</li><li>Experience with <b>GCP</b> or any major cloud platform; proficiency in <b>BigQuery</b>.</li><li>BI stack knowledge: <b>data catalog</b>, <b>data quality</b>, <b>security/privacy</b>, <b>data modeling/curation</b>.</li><li>Familiarity with <b>Looker</b>, <b>Scala-based data flow</b>, and advanced BI frameworks.</li><li>Excellent communication and stakeholder management skills; ability to explain technical concepts in business terms.</li><li>Strong analytical and strategic thinking skills; tech-savvy and up to date with trends.</li></ul><p><br></p><p><b>What You'll Get in Return</b></p><ul><li>Opportunity to lead enterprise-level data initiatives and shape the future of data strategy.</li><li>A collaborative, innovative environment focused on professional growth.</li><li>Competitive compensation, benefits, and career development opportunities.</li></ul><p><br></p><p><b>What You Need to Do Now</b></p><p>If you're ready to take on a senior leadership role that bridges data engineering and BI, apply today and help build the next generation of data-driven solutions.</p>