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Lead Data Engineer
2 months ago
We are seeking a highly skilled Lead Data Engineer to join our team at Intuita, a leading provider of data-driven solutions. As a key member of our Data Engineering team, you will be responsible for leading the development of high-performing data engineering solutions in Azure.
Key Responsibilities- Technical Leadership & Mentorship: Guide and mentor a team of engineers, providing technical direction, support, and developing their skills to ensure the highest quality outcomes for our clients.
- Technical Project Ownership: Responsible for the technical direction and execution against critical business transformations, ensuring both sustainability and quality. Work closely with Business Analysts to ensure the technical solution meets 100% of the business needs.
- Client Engagement: Act as the technical liaison between the engineering teams and clients, ensuring client satisfaction through well-thought-out solutions with longevity in mind.
- Quality Assurance & Best Practice: Establish and enforce data engineering standards, best practice, and reusable frameworks. Quality assurance management through data engineering pipelines, ensuring both quality and performance of solutions.
- Continuous Improvement: Stay up to date with the latest developments in technology changes within respective fields and/or specialisms, and proactively engage with the wider engineering team on learning opportunities.
- On-Site Engagement: Periodically visit client sites to foster and strengthen relationships, ensuring our commitment to partnership and collaborative success is clearly demonstrated.
We are looking for a driven and experienced Lead Data Engineer who shares our passion for delivering high-quality data engineering solutions. You will have a strong background in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure Synapse, Microsoft Fabric, and/or Azure Databricks.
- Proven experience in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure Synapse, Microsoft Fabric, and/or Azure Databricks.
- Depth of knowledge and understanding across core orchestration tools and CI/CD pipelines to enhance development efficiency and deployment effectiveness, including Azure DevOps.
- Considerable experience designing and building operationally efficient pipelines, utilizing core Azure components, such as Azure Data Factory, Azure Databricks, and Pyspark.
- Proven experience in modeling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use.
- Strong understanding and/or use of Unity Catalog alongside core Databricks functionality to drive metadata management.
- Strong understanding of cloud economics, including cost management strategies and optimizing solutions for customer needs.
- Experience with infrastructure as code, proficiency using tools such as Terraform to automate and manage cloud infrastructure, ensuring both consistency and scalability across environments.
- Certifications in relevant technologies and methodologies, such as certified solutions architect or data engineer credentials from Microsoft Azure and/or Databricks.
- Ability to inspire, lead, and manage a diverse team of data engineers, fostering an environment that promotes professional growth and high performance.
- Experience working within an Agile delivery team and effectively collaborating with cross-functional teams.
- Prior experience in a consultancy setting, demonstrating the ability to navigate the unique challenges and dynamics of consulting with various clients and industries.
- Knowledge or specialization in specific industries such as financial services, telecoms, e-commerce, or retail, which can help tailor data solutions more effectively to client needs.
- Experience in building PowerBI semantic models for downstream visualization consumption.
- Prior experience in building custom Power Apps, proficiency in design and build, including both canvas and custom-driven apps.
- Knowledge and/or experience in data management tools.
