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Data Engineering Specialist

2 months ago


Ansty, Warwickshire, United Kingdom Cadent Full time
About the Role

Cadent 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
  • Apply Enterprise Data Modelling techniques to conceptualize the relationships between types of information within the organization.
  • Create Enterprise Data Models enabling effective storage and interaction for a wide range of company data and use cases.
  • Assess issues that might prevent the organization from making maximum use of its information assets.
  • Contribute to organizational policies, standards, and guidelines for data engineering.
  • Introduce appropriate controls within the processes to ensure the data processing adheres to company policies in areas of Privacy, Data Retention, and Security.
  • Plan and drive the development of data engineering solutions ensuring that solutions balance functional and non-functional requirements.
  • Monitor the application of data standards and architectures including security and compliance.
  • Create data flows and modelling objects in SAP Datasphere data builder- creation of relational and analytical datasets, fact models, dimension, and SQL views based.
  • Create complex ABAP CDS views and SQL code with associated documentation to quality standards while also adhering to SAP best practices and policies.
  • Design and implement data pipelines and data stores to acquire and prepare data in SAP Datasphere in line with data engineering standards and tools.
  • 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.
  • 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.
  • Responsible for development of standardised Datasphere models used for developing reports and analysis in SAP Analytics Cloud, PowerBi, and other data consuming applications.
Requirements
  • Educated to degree level or equivalent in Computer Science, Software Development, or similar.
  • 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.
  • Experience in working with: DataFrames for big data, Delata Tables, APIs, efficient configuration of Apache Spark, Databricks, Spark SQL.
  • Experience in management of notebooks, data objects, jobs, and clusters; Design and schedule workflows to run at specific times or trigger them based on events or conditions.
  • Experience in scheduling and automating tasks in Databricks, such as data processing, machine learning model training, or report generation.
  • Ability to use relevant APIs and connectors to efficiently read data from cloud storage into Databricks DataFrames or Delta Tables.
  • Manipulation and transformation of data using user-defined functions (UDFs) to derive insights or prepare it for further analysis.
  • Understanding the data flow and dependencies between different data sources using data lineage and Unity Catalog.