Data Engineering Specialist

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At Cadent, we're excited to be part of the future of UK energy! We have a clear roadmap to drive our performance to the forefront of the industry and support the UK government in achieving its net zero targets by 2050.

We're making a difference through innovation and new ways of working. Together, we're shaping a cleaner, greener future for our 11 million customers, whom we put at the heart of everything we do.

As a Data Engineering Specialist at Cadent, you will develop high-quality, reusable enterprise-level data used for regulatory, operational, and analytic reporting and insights. Your work will provide timely visibility into company performance and operational KPIs, helping stakeholders maximize value from Cadent data by innovating in AI, Machine Learning, and Data Science.

Key Responsibilities:

1. Apply Enterprise Data Modelling techniques to conceptualize relationships between data types within the organization.
2. Create Enterprise Data Models for effective data storage and interaction across various use cases.
3. Assess issues that might hinder the organization from utilizing its information assets fully.
4. Contribute to organizational policies, standards, and guidelines for data engineering.
5. Implement controls to ensure data processing adheres to privacy, data retention, and security policies.
6. Plan and develop data engineering solutions balancing functional and non-functional requirements.
7. Monitor data standards and architectures, including security and compliance.
8. Create data flows and modelling objects in SAP Datasphere, including relational and analytical datasets, fact models, and SQL views.
9. Develop complex ABAP CDS views and SQL code following SAP best practices and documentation standards.
10. Design and implement data pipelines and stores in SAP Datasphere, ensuring quality standards are met.
11. Ensure development activities meet quality standards, with feedback integrated into the lifecycle.
12. Work within agile development sprints across multiple product lines, participating in retrospectives and incremental development.
13. Develop standardized Datasphere models for reports and analysis in SAP Analytics Cloud, Power BI, and other applications.

Skills and Experience:

• Degree or equivalent in Computer Science, Software Development, or similar.
• Deep knowledge of SQL programming.
• Experience with SAP BW4/Hana or Data Warehouse Cloud systems.
• Experience processing, transforming, and presenting data.
• Strong technical skills and awareness of industry trends.
• Excellent communication, critical thinking, and analytical skills.
• Experience with data modelling methodologies (LSA , Dimensional, etc.), SQL, CDS views.
• Experience working in a DevOps environment and Agile frameworks (desirable).
• Experience with big data tools like DataFrames, Delta Tables, APIs, Apache Spark, Databricks, Spark SQL.
• Ability to manage notebooks, data objects, jobs, clusters, and automate workflows in Databricks.
• Understanding data flow, dependencies, data lineage, and Unity Catalog.

What's In It For You:

• Funding and support for qualifications.
• Opportunities for career progression.
• Mentoring and guidance.

Why Join Us:

• Competitive benefits including bonus, pension, holiday entitlement, and flexible benefits.
• Career development with funded learning and training.
• Supportive environment focusing on work-life balance and flexible working options.

Diversity and Inclusion:

We value diversity and are committed to an inclusive culture. We encourage applications from all backgrounds and are proud to be an Equal Opportunity Employer and Disability Confident Employer. We also support the Circle Back Initiative to ensure all candidates receive responses.

Apply early, as the vacancy may close before the deadline. To be considered, submit your CV and application via our website. Join us and help shape the future of gas for generations to come.