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Data Engineering Lead | Hybrid
We are hiring for a prominent fintech company making significant strides in payments, dunning, invoicing, and collections, leveraging advanced analytics, BI, and AI. This employer is committed to data-driven decision-making and innovation, offering a dynamic environment for growth.
The Role
• Lead the design, development, and delivery of high-quality data pipelines and data products.
• Build and scale a high-performing data engineering team focused on transforming raw data into trusted, accessible, and reusable assets.
• Accountable for the results and contributions of the data engineering discipline within an agile, cross-functional data product model.
• Define and execute the data engineering vision and roadmap aligned with overall Data, AI & Analytics strategy.
• Oversee the development of robust ETL/ELT pipelines and ensure delivery of fit-for-purpose data models.
• Implement data quality frameworks and automation, defining and monitoring data SLAs and SLOs.
What You'll Need
• 10+ years of experience in data engineering, with at least 3-5 years in a leadership role managing multi-team delivery.
• Proven success in leading data engineering functions within agile, cross-functional data product teams.
• Strong technical expertise in Azure, SQL, Python, and modern data transformation/orchestration frameworks (e.g., dbt, Airflow, Spark).
• Deep experience with cloud-based data lakehouses (e.g., Azure cloud, Databricks Medallion architecture).
• Expertise in data modeling, transformation, and quality assurance for analytical and operational use cases.
• Excellent communication and stakeholder management skills, especially in cross-functional agile environments.
What's On Offer
• The opportunity to lead and mentor a high-performing data engineering team.
• Work in an agile, cross-functional data product model with significant impact on business outcomes.
• Contribute to the evolution of a data-as-a-product approach.
• A collaborative environment focused on innovation and operational excellence.
Apply via Haystack today!
