Data Engineer

Come be a part of driving National Grid’s digital transformation! We are digital creators, continuous learners and daring innovators. We leverage digital innovative ways to create products and catalyze the transformation of National Grid's business units into more agile and digitally native organizations in our shared purpose of bringing energy to life.

At National Grid, we keep the lights on and homes warm. But it’s so much more than that. We keep people connected and society moving. This is no easy feat, and it takes all of us. But National Grid supplies us with the environment to make it happen. As we generate momentum in the energy transition for all, we don’t plan on leaving any of our customers in the dark. So, join us and help bring energy to life.

As a Data Engineer, you will be involved in the product development process from ideation to launch, working closely with software engineers, data scientists, product managers, UI/UX designers, and key stakeholders across the organization to deliver the best digital experiences for our users. You will actively contribute to the success of the team by innovating, participating in technical discussions, and contributing to the development of products that will transform the organization.

• Implement data orchestration pipelines, data sourcing, cleansing, and QC processes
• Support data architects when designing data architectures
• Contribute to software verification plans and quality assurance procedures
• Document and maintain data architecture
• Collaborate with business and technical stakeholders on the development of digital products
• Consult with end users to refine, redesign, and perfect large-scale solutions
• Contribute to IT standards, procedures, and process
• Actively participate in the design of software solutions
• Document and maintain software functionality
  

• Experience working on large scale, full lifecycle data implementation projects
• Deployment of data pipelines in Azure (Databricks, Event Hubs, Kafka)
• Hands-on RDBMS experience (data modeling, analysis, programming, stored procedures)
• Developed ETL/ELT workflows with a modern programming language (Python, .NET)
• Understanding of relational and warehousing database technology
• Knowledge of Lean software development methodology (eg, Agile SCRUM)
• Full Software Development Life Cycle knowledge
• Demonstrate flexibility to respond to the changing needs of the business
  

• 25 days holiday, plus eight statutory days – and options to buy extra holiday days
• Pension and share option scheme
• Close mentorship and regular feedback
• You will also have access to a number of other flexible benefits such as share incentive plan, company car, and technology schemes, support via employee assistance lines and matched charity giving name to a few.

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