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About
Cadent Gas Ltd
At Cadent we’re excited to be part of the future of UK energy! We’ve got a clear roadmap that will drive our performance to the forefront of our 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 that is utilised for regulatory, operational and analytic reporting and insights in order to provide a timely visibility for various business functions into company’s performance and main operational KPIs and ensure that the stakeholders can maximise the value from Cadent data by innovating in areas of AI, Machine Learning and Data Science.
Key Responsibilities
Appropriate application of Enterprise Data Modelling techniques to conceptualise the relationships between types of information within the organisation. Create Enterprise Data Models enabling effective storage and interaction for a wide range of company data and use cases. Assessing issues that might prevent the organisation from making maximum use of its information assets. Contributes to organisational 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. Planning and driving the development of data engineering solutions ensuring that solutions balance functional and non-functional requirements. Monitorthe 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. Designs and implements data pipelines and data stores to acquire and prepare data in SAP Datasphere in line with data engineering standards and tools. Ensuring that thedevelopment activities areimplementingthe qualitystandardsas set by the customer & test teams and that identified test outputs are fed back into the development lifecycleas part of a total quality system. Working 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. Skills and Experience
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. 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 What’s In It For You
Role
Here at Cadent, we are committed to supporting our employees to get the best out of themselves. For this role in particular we can offer:
Funding and support towards completing qualifications Ample opportunity for progression within the business Mentoring and guidance opportunities
Why Join Us
We offer a host of benefits to suit your lifestyle and support your well-being. These include:
Annual bonus Pension Scheme double matched up to a total of 18% of salary (i.e., employee contributions of up to 6%, double matched by a Cadent contribution of up to 12%) 25 days holiday, plus statutory days, and an option to buy more Fantastic career development prospects with funded learning options, including support with exams, and internal and external learning and development Strong focus on supporting you as an individual including: Flexible working Strong commitments to ED&I Generous family provision policies Flexible benefits including cycle to work scheme, salary sacrifice car scheme, insurance, and healthcare packages, plus much more My Offers membership card – offering discounts and savings from hundreds of retailers 2 paid volunteering days per year Free gym access at the Ansty office, as well as a ‘Gympass’ scheme providing free or heavily subsidised local gym memberships
We want our employees to achieve a healthy work-life balance and are happy to discuss flexible working options with you if the role can accommodate it. Let us know about your flexibility requirements, whether that be reduced hours, remote working, flexible start/finish times, or compressed hours, and we will be more than happy to explore what’s possible for the role.
Diversity and Inclusion
Don’t meet every single requirement listed?
Understanding, learning, and celebrating what makes us different, as well as what we have in common, is good for us as individuals and enables us to work better together as one team. Cadent is committed to being an equitable and diverse employer that fosters an inclusive culture for all our employees, therefore, all our employment decisions are assessed based on qualifications, merit, and business need. So, if you’re excited about this opportunity but your experience doesn’t align perfectly with every qualification mentioned, we would still love for you to submit your application – You may just be the right person for this role or other opportunities at Cadent.
As a recognised Disability Confident Employer, we are proud to champion inclusion in the workplace and ensure to provide an environment that is accessible to all and supports individuals throughout their journey with Cadent. Please let us know if you require any reasonable adjustments during the application process.
We place great importance on equity, diversity and inclusion, and we welcome applicants from all backgrounds. Our employee communities Women in Cadent, Pride at Work (LGBTQ+), Embrace (ethnicity and religion), Thrive! (disability) and the Cadent Military Community can’t wait to welcome you!
Circle Back Initiative
As an active and proud member of The Circle Back Initiative, we aim to ensure that all candidates receive a response to their application, regardless of the outcome.
We will be receiving applications until the specified date above, though Cadent retains the right to close this vacancy early without prior notification, so it is advisable to complete your application at your earliest convenience.
Be part of something big. Help shape the future of gas for generations to come.
What’s next?
To be considered for this role, please submit your application with an up-to-date CV and our Talent Acquisition team will get in touch soon. To learn more about Cadent and what we do, visit our website at
Nice-to-have skills
- SQL
- DevOps
- Agile
- Coventry, England
Work experience
- Data Engineer
- Fullstack
- Data Infrastructure
Languages
Seniority level
- Seniority levelEntry level
Employment type
Job function
- Job functionEngineering and Information Technology
- IndustriesTechnology, Information and Internet
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