<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p>We're hiring on behalf of a Haystack partner!</p><p><br/></p><p>The Role</p><p>• Lead the design, development, and delivery of high-quality data pipelines and data products.</p><p>• Build and scale a high-performing data engineering team focused on transforming raw data into trusted assets.</p><p>• Oversee the development of robust ETL/ELT pipelines and ensure fit-for-purpose data models are delivered.</p><p>• Implement data quality frameworks and drive proactive data reliability engineering.</p><p>• Collaborate with stakeholders to prioritize and deliver data engineering work aligned with business goals.</p><p>• Mentor and grow a team of data engineers, fostering a culture of ownership and accountability.</p><p><br/></p><p>What You'll Need</p><p>• 10+ years of experience in data engineering, with 3-5 years in a leadership role managing teams larger than 10.</p><p>• Proven success in leading data engineering functions within agile, cross-functional data product teams.</p><p>• Strong technical expertise in Azure, SQL, Python, and modern data transformation and orchestration frameworks (e.g., dbt, Airflow, Spark).</p><p>• Deep experience with cloud-based data lakehouses (Azure cloud, Databricks Medallion architecture).</p><p>• Expertise in data modeling, transformation, and quality assurance for analytical and operational use cases.</p><p>• Excellent communication and stakeholder management skills, with leadership experience in distributed teams.</p><p><br/></p><p>What's On Offer</p><p>• Competitive annual salary with potential for bonuses.</p><p>• Opportunity to lead and shape the data engineering vision within a fintech ecosystem.</p><p>• Work in an agile, cross-functional data product model with hybrid working conditions.</p><p>• Professional development and growth opportunities for your team and yourself.</p><p><br/></p><p>Apply via Haystack today!</p> </div>