Lead Data Engineer

2 weeks ago

Liverpool, Liverpool, United Kingdom Intuita - Vacancies Full time
About the Role

We are seeking a highly skilled and experienced Lead Data Engineer to join our team at Intuita. As a key member of our Data Engineering team, you will be responsible for leading the technical direction and execution of critical business transformations, ensuring the highest quality outcomes for our clients.

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, 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.
About You

We are looking for a driven and experienced professional who shares our passion for delivering high-quality solutions. As a Lead Data Engineer, you will have a strong combination of hands-on technical expertise and exceptional leadership skills to steer our teams toward achieving both quality and strategic objectives.

  • 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, etc.
  • 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.
Nice to Have
  • 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 such as Azure Purview or Collibra, with exposure to data cataloging, lineage, and data quality standards.

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