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Lead Data Engineer Azure
2 months ago
We're seeking a highly skilled Lead Data Engineer to join our team at Intuita. As a trusted partner to our clients, we're looking for someone who can drive business growth and lead consultancy-driven projects with their extensive engineering expertise.
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 wider engineering teams 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're looking for someone with a strong combination of hands-on technical excellence and exceptional leadership skills to steer our teams toward achieving both quality and strategic objectives. You'll have a proven track record in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure Synapse, Microsoft Fabric, and/or Azure Databricks.
Key factors we value and seek include:
- Experience in a business transformation setting, either at enterprise level or in large-scale delivery.
- Proven experience in designing and building operationally efficient pipelines, utilizing core Azure components, such as Azure Data Factory, Azure Databricks, and Pyspark.
- 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.
We also value collaboration and teamwork, making sure we work together to solve problems and share learnings as a team. If you don't fit these exactly and are interested in working for us, get in touch anyway - we hire people, not job specs.
We're not a standard consultancy and neither are our benefits - they are enhanced. You can view more on our Benefits here.
