Senior Data Engineer (EE)

SUMMARY:
-

POSITION INFO:

We are seeking a highly skilled Senior Data Engineer to lead the design, development, and optimisation of enterprise data infrastructure. The ideal candidate will bring a strategic mindset, strong technical expertise, and leadership capabilities to drive the creation of scalable data solutions aligned with business goals.

This position requires someone with hands-on experience in data architecture, pipeline automation, and team leadership. You will work closely with cross-functional teams, guiding efforts in data modelling, analytics, and business intelligence.

Key Responsibilities

Data Architecture and Solution Design

• Lead the design, development, and implementation of scalable data solutions.
• Use Wherescape to build and automate data pipelines for efficient data ingestion and transformation.
• Architect maintainable data systems that align with business and technical requirements.
• Analyse performance and implement improvements based on feedback and best practices.

Governance and Data Quality

• Ensure high standards of data quality, accuracy, and consistency.
• Enforce metadata management, data lineage, and governance policies.
• Develop validation and control mechanisms across all data sources.

ETL Development and Automation

• Design and manage end-to-end ETL processes using Wherescape and other tools.
• Optimise workflows and troubleshoot processing issues.
• Implement scheduling, monitoring, and alerting to ensure data availability and integrity.

Collaboration and Mentorship

• Work with Data Scientists, Analysts, and BI teams to align data strategy with analytics needs.
• Partner with cross-functional stakeholders to resolve data issues.
• Mentor junior data engineers and support knowledge sharing across the team.

Minimum Requirements

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field.
• 8+ years of experience in data engineering or related roles.

Technical Skills (Non-negotiable)

• Expert SQL skills
• Hands-on experience with Cloudera
• Strong knowledge of Data Vault modelling methodology
• Solid experience with data warehouse architecture and design.
• Strong command of Python and/or Java.
• Familiarity with big data ecosystems: Hadoop, Spark, Kafka.
• Experience with ETL tools (especially Wherescape), SAP HANA, and scheduling tools (e.g., Automic).
• Understanding of both Kimball and Data Vault data modelling patterns.

Leadership and Communication

• Proven leadership ability to guide technical teams.
• Excellent written and verbal communication skills.
• Ability to explain complex technical concepts to non-technical stakeholders.

Ideal Candidate Profile

You are a technically strong, proactive, and solution-driven professional with a passion for building data platforms that are robust, scalable, and future-ready. You thrive in collaborative environments and bring both strategic insight and practical delivery experience to every project.

* In order to comply with the POPI Act, for future career opportunities, we require your permission to maintain your personal details on our database. By completing and returning this form you give PBT your consent

* If you have not received any feedback after 2 weeks, please consider you application as unsuccessful.