About this role
Lead Data Engineer
Data Engineering Lead / Manager – Data Lakehouse
We are looking for an experienced Data Engineering Lead / Manager to provide technical and delivery leadership for a large-scale enterprise Data Lakehouse transformation.
The successful candidate will lead a team of data engineers and technical specialists, working closely with business stakeholders, architects and platform teams to design and deliver scalable, secure and governed data solutions.
Key Responsibilities
- Lead the design and delivery of enterprise-scale Data Lakehouse and data engineering solutions.
- Lead and mentor data engineering teams across multiple delivery workstreams.
- Drive the development of batch, streaming and real-time data pipelines.
- Lead data modeling across Silver and Gold layers, including modernization of legacy data models and source-to-target mappings.
- Establish engineering standards covering development, testing, CI/CD, monitoring and operational support.
- Provide technical leadership across data migration, reconciliation, data quality and governance.
- Review solution designs and ensure scalability, performance, security and maintainability.
- Coordinate technical dependencies, risks and issues across engineering, architecture and migration teams.
- Work closely with business stakeholders, architects, SMEs and implementation partners.
- Support planning, estimation and successful end-to-end delivery of the program.
What We're Looking For
- 10+ years' experience in data engineering, data platforms, data warehousing or related areas.
- Strong experience leading technical teams and complex enterprise data programs.
- Hands-on understanding of modern Lakehouse architectures and data engineering patterns.
- Strong experience with Spark/PySpark, SQL, Kafka and Apache Iceberg.
- Experience with Cloudera Data Platform (CDP) or similar enterprise data platforms.
- Strong understanding of data modeling, ETL/ELT, data migration and data quality.
- Experience with CI/CD, automation, monitoring and production-grade data engineering.
- Strong stakeholder-management and technical leadership skills.
Good to Have
Experience in one or more of the following would be advantageous:
- Banking or financial services
- Apache NiFi, Flink or Airflow
- Cloudera ecosystem technologies
- Data governance tools such as Atlas, Ranger or Informatica
- Denodo or semantic/analytics layers
- Large-scale data migration or EDW modernization
- Regulatory or governance-driven data environments
- AI and advanced analytics platforms
Ref. code:
569622
Posted on:
Nov 4, 2026
Experience Level:
Experienced Professionals
Contract Type:
Permanent
Location
Cairo, EG
Brand:
Capgemini
Professional Community:
Data & AI