Das ist der Job
Role Responsibilities Data Pipeline & ETL Development Construct, test, and maintain scalable data pipelines.
Darum lohnt es sich
Role Purpose
As a Data Engineer Specialist, you will play a pivotal role in supporting the development, maintenance, and optimisation of the organisation’s data infrastructure.
The role would focus on managing data pipelines, transforming raw data into usable structures, automating ingestion processes, and enabling high-quality reporting and analytics across the business. This role plays a key part in supporting cloud-based reporting, enterprise data warehouse initiatives, and cross-departmental analytics.
Building ETL/ELT processes for ingesting and transforming large datasets. Automate data ingestion using tools such as Python, SQL, cloud ETL platforms Data Architecture & Storage Develop and maintain database schemas, views, mapping tables, data models, and data warehouses. Optimise data storage solutions (SQL, NoSQL, cloud storage, data lakes).
Data Integration & APIs Integrate internal and external data sources. Build APIs and services for data access and consumption. Monitor system interoperability and consistent data flow across platforms. Data Quality, Validation & Governance Automate validation rules, quality checks, and data cleaning procedures.
Monitor data accuracy, data consistency, data securi
