ETIC, Data Engineer, Manager
PricewaterhouseCoopers
Employer Active
Posted 18 hrs ago
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Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
As a Data Engineering Manager, you will lead the design, development, and optimization of modern data platforms and pipelines on Azure and Databricks. You will oversee a team of data engineers and collaborate with cross-functional stakeholders to deliver scalable, secure, and high-performing data solutions that enable advanced analytics, AI, and business insights for enterprise clients.
This role requires deep expertise in cloud data architecture, hands-on experience with Azure data services (including Microsoft Fabric), and advanced proficiency in Databricks for batch and real-time data engineering. You will also be responsible for mentoring team members, driving technical excellence, and aligning data engineering initiatives with business strategy.
- Lead the end-to-end delivery of data engineering projects, ensuring alignment with business goals and technical standards.
- Architect and oversee the implementation of scalable data pipelines across structured, semi-structured, and unstructured data sources.
- Guide the adoption of best practices in data ingestion, transformation, and orchestration using Azure Data Factory, Synapse, and Microsoft Fabric.
- Drive performance optimization and scalability of ETL/ELT processes using Databricks (PySpark, SQL, Delta Lake).
- Establish and enforce data governance, quality, lineage, and observability frameworks.
- Collaborate with solution architects and business leaders to define modern data architectures and ensure compliance with security and privacy regulations.
- Facilitate technical workshops, stakeholder engagements, and roadmap planning sessions.
- Mentor and develop junior engineers, fostering a culture of innovation, accountability, and continuous learning.
Desired Candidate Profile
7 10 years of experience in data engineering, with at least 3 years in a leadership or managerial role.
- Proven track record of delivering enterprise-grade data solutions in consulting or large-scale environments.
- Advanced hands-on experience with:
- Azure Data Platform: Data Factory, Synapse Analytics, Azure Data Lake Storage, Microsoft Fabric, Event Hub/IoT Hub, Azure Functions.
- Databricks: PySpark, Spark SQL, Delta Lake, Unity Catalog, Databricks Workflows.
- Strong proficiency in Python and SQL for large-scale data processing.
- Expertise in data modeling, medallion architecture, and lakehouse principles.
- Familiarity with CI/CD pipelines, DevOps practices, and version control systems (e.g., Git, Azure DevOps).
- Experience implementing data governance and observability tools.
- Strategic mindset with the ability to balance technical depth and business impact.
Company Industry
- Consulting
- Management Consulting
- Advisory Services
Department / Functional Area
- IT Software
Keywords
- ETIC
- Data Engineer
- Manager
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PricewaterhouseCoopers
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