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Data Engineering Specialist
2 months ago
Cadent Gas Limited is seeking a highly skilled Data Engineering Specialist to join our team. As a Data Engineering Specialist, you will play a critical role in developing high-quality, reusable enterprise-level data that is utilized for regulatory, operational, and analytic reporting and insights.
Key Responsibilities- Enterprise Data Modelling: Apply appropriate Enterprise Data Modelling techniques to conceptualize the relationships between types of information within the organization.
- Data Model Development: Create Enterprise Data Models enabling effective storage and interaction for a wide range of company data and use cases.
- Data Quality Assurance: Assess issues that might prevent the organization from making maximum use of its information assets.
- Policy Development: Contribute to organizational policies, standards, and guidelines for data engineering.
- Data Security: Introduce appropriate controls within the processes to ensure the data processing adheres to company policies in areas of Privacy, Data Retention, and Security.
- Solution Development: Plan and drive the development of data engineering solutions ensuring that solutions balance functional and non-functional requirements.
- Monitoring and Compliance: Monitor the application of data standards and architectures including security and compliance.
- Data Pipeline Development: Create data flows and modelling objects in SAP Datasphere data builder- creation of relational and analytical datasets, fact models, dimension, and SQL views based.
- Complex Query Development: Create complex ABAP CDS views and SQL code with associated documentation to quality standards while also adhering to SAP best practices and policies.
- Data Store Development: Design and implement data pipelines and data stores to acquire and prepare data in SAP Datasphere in line with data engineering standards and tools.
- Quality Assurance: Ensure that the development activities are implementing the quality standards as set by the customer & test teams and that identified test outputs are fed back into the development lifecycle as part of a total quality system.
- Agile Development: Work within development sprints using an agile software delivery model, across multiple product lines and developments, undertaking retrospectives, 'show & tell' as part of an incremental and iterative approach to product development.
- Standardized Model Development: Responsible for development of standardized Datasphere models used for developing reports and analysis in SAP Analytics Cloud, PowerBi, and other data consuming applications.
- Qualifications: Educated to degree level or equivalent in Computer Science, Software Development, or similar.
- Practical Experience: In-depth knowledge of SQL programming language. Experience in application development on SAP BW4/Hana or Data Warehouse Cloud systems. Experience processing, filtering, transforming, and presenting data. Strong technical experience and good command of industry trends. Strong communication, critical thinking, and analytical skills. Experience working with data from SAP. Data modelling methodologies (LSA++, Dimensional, etc.), SQL, CDS views. Experience of working in a DevOps environment and delivering software using the Agile delivery framework would be desirable.
- Funding and Support: Funding and support towards completing qualifications.
- Opportunities for Progression: Ample opportunity for progression within the business.
- Mentoring and Guidance: Mentoring and guidance opportunities.
