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About the Role
We are seeking a visionary Principal Data Engineer to lead the delivery of innovative data analytics solutions, with a focus on technical excellence, governance, and operational performance in a high-volume data environment. This role involves strategic and technical leadership in building Azure-based data lake solutions, driving maturity in data management, and engaging with cross-functional teams to leverage data for organizational success.
Responsibilities
- Architect, design, and implement scalable Azure-based data lake solutions.
- Establish roadmaps for capability-building across technologies such as Qlik Replicate, Databricks Delta Live Tables, and Unity Catalog.
- Provide technical leadership, ensuring adherence to best practices and quality standards.
- Lead the development of data transformation pipelines using Databricks Delta Live Tables and Structured Streaming.
- Optimize Databricks resources for high-volume data processing without exceeding budget.
- Oversee the use of Databricks Unity Catalog for data governance, lineage, and metadata management.
- Develop and enforce robust data governance policies, ensuring compliance, security, and data quality.
- Monitor data pipeline performance and proactively resolve production issues.
- Collaborate with cross-functional teams to align project objectives with business goals.
- Translate technical challenges into actionable insights for executive teams.
- Mentor and develop a high-performing team skilled in Azure, Databricks, and data streaming technologies.
- Facilitate knowledge transfer sessions to empower internal teams with cutting-edge methodologies.
Requirements
- 15–17 years of experience in the IT industry with expertise in delivering cost-effective cloud-based data analytics solutions.
- Proven track record in building data lake architectures and optimizing performance in big data environments.
- Strong knowledge of Azure technologies, including ADF, ADLS, Databricks, Stream Analytics, Delta Live Tables, and Synapse Analytics.
- Advanced proficiency in SQL and programming languages such as Python, Scala, or Spark-SQL.
- Experience in designing and developing scalable ETL pipelines and optimizing data workflows.
- Deep understanding of data migration from on-premises to cloud and cloud to cloud.
- Proven ability to lead diverse teams and manage end-to-end analytics projects.
- Exceptional communication and collaboration skills for engaging executives and stakeholders.
- Strong sense of ownership, accountability, adaptability, and commitment to results.
- Expertise in identifying risks and implementing effective mitigation strategies.
Skills
- Azure Data Engineering
- Databricks
- Qlik Replicate
- Databricks Delta Live Tables
- Unity Catalog
- ADF
- ADLS
- Stream Analytics
- Synapse Analytics
- SQL
- Python
- Scala
- Spark-SQL
- ETL pipelines
- Data migration
- Big data tools
- Hadoop
- Kafka
- Spark
- PowerBI
- QlikSense
- AI/ML
- NLP
- GenAI
- AGILE
- KANBAN
Location
- London
Work Type
- Onsite
- Full Time
Experience Level
- Principal
Education Level
- Bachelor’s or Master’s degree in IT or a related discipline
- Certification in Azure Data Engineering or Databricks preferred
Salary/Compensations
- Daily Rate Inside IR35
About the Company
- Deloitte sets the requirements for the assignment. Rockford Resourcing acts as the agency on behalf of Deloitte and is responsible for sourcing candidates to fulfil the assignment. Successful candidates will be employed by Rockford Payroll. Rockford Payroll is responsible for the Associate’s employment, pay and applicable employment-related processes.