Data Engineer-Unified data platform
Description
Demonstrate a sound understanding of:
Ingestion and transformation of data from multiple source
domains (e.g. CRM feeds, third-party data, digital signals) into the platform
following approved design principles and data governance standards.
Building and maintaining batch and streaming transform
pipelines and workflow orchestration.
Data dictionary documentation and cloud object storage
design for data offload scenarios.
Collaboration with extended team like DevOps, Data
Architects, and operations teams to ensure end-to-end pipeline reliability and
observability.
Decisioning Platform (Pega or equivalent)
Demonstrate a sound understanding of how real-time
decisioning platforms (such as Pega) consume and depend on data engineering
outputs.
Work with decisioning and analytics teams to ensure accurate
and timely data availability for personalisation and customer engagement use
cases.
Participate in cross-team planning and technical reviews as
they relate to data dependencies for decisioning workflows.
Cross-Platform & Delivery
Deliver across multiple use cases simultaneously in an Agile
squad model, managing dependencies across platforms and teams.
Author and maintain technical documentation, including
solution design notes, implementation plans, and deployment runbooks.
Actively participate in sprint ceremonies, backlog
refinement, and cross-team dependency management.
Provide SIT, UAT, and data validation support across
environments; work with QA and operations teams to validate data integrity pre-
and post-release.
Skills & Experience
Familiarity with cloud-native data engineering patterns and
object storage-based data offload architectures (e.g. AWS S3, Azure Data Lake).
Understanding of real-time decisioning platforms such as
Pega, and how they integrate with data engineering layers.
Exposure to MarTech or Transformation data programs in a
large enterprise or telco context.
Experience with workflow orchestration tools such as Apache
Airflow or equivalent.
Understanding of data governance frameworks, data lineage,
and data quality processes.
Knowledge of Agile or SAFe delivery methodology and working
in cross-functional squads.