Senior Data Engineer

Every day we deliver safe and secure energy to homes, communities, and businesses. We are there when people need us the most. We connect people to the energy they need for the lives they live. The pace of change in society and our industry is accelerating and our expertise and track record puts us in an unparalleled position to shape the sustainable future of our industry.

About the role

We are seeking a Senior Data Engineer to join National Grid’s Finance data and reporting office team (FDRO). The FDRO is responsible for financial data and financial reporting across the breadth of National Grid Finance. Day to day you will lead all aspects of the design, development, and delivery of database, business intelligence, data warehouse, and data integration solutions.

Responsibilities

• Lead the design, development, and maintenance of large-scale data systems, including data warehouses, data lakes, and data pipelines.
• Design, develop, and maintain ETL processes using tools like Matillion.
• Design, develop, and maintain optimal data flows in tools like Matillion.
• Develop and maintain Datawarehouse objects like tables, views, and security roles in Snowflake database.
• Extract data from various sources, such as databases, flat files, and APIs.
• Transform and cleanse data to ensure data quality and integrity.
• Load data into the data warehouse, ensuring data consistency and accuracy.
• Optimize ETL processes for performance, scalability, and reliability.
• Work closely with data architects, analysts, and developers to support data integration initiatives.
• Implement data validation, data quality checks, and data security measures.
• Troubleshoot and resolve data issues, performance bottlenecks, and ETL failures.
• Implement best practices for data warehousing, data modeling, and ETL development.
• Document ETL processes, data mappings, and configurations.

Requirements

• A minimum of 6 years of experience with relational databases, ETL, and data warehouse.
• Expert-level knowledge of industry-leading ETL/ELT tools such as ODI, Informatica, Matillion, or SSIS.
• Experience in designing and developing complex near real-time and/or batch data integration solutions using cloud-based ETL and integration tools.
• Experience with traditional and non-traditional forms of analytical data design (Kimball, Inmon, etc.).
• Proficiency in SQL programming and relational database concepts.
• Experience with loading and maintaining a data warehouse.
• Bachelor’s degree in Computer Science or a related field with 6 years of related experience, or Master’s degree in Computer Science or a related field with at least 4 years of related experience.

Skills

• Experience with cloud-based data platforms, such as Snowflake.
• Domain knowledge in the area of finance data is preferred.
• Experience with SAP Systems and Databases.
• Knowledge of data visualization tools, such as PowerBI or Tableau.

Pay

$133,000-$156,000