Hybrid Data Engineer: Data Mesh & Analytics

National Grid; Warwick; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

National Grid is seeking a data-focused engineer to design and maintain ETL pipelines, data models, and data products across analytics platforms. The role emphasizes governance, data mesh principles, and enabling data-driven decision making through robust BI solutions.

The ideal candidate will drive data quality, lineage, and APIs, collaborating with business users and data scientists in a hybrid Warwick-based role.

Qualifications

• Strong experience in data mining, profiling, and manipulation of large datasets.
• Proficiency in writing ETL code and implementing data quality rules.
• Advanced Power BI skills, including DAX, Power Query (M), data modelling, and report design.
• Skilled in Python, SQL, Azure Data Factory, Git, and DBT.
• Experience with Snowflake and big data tooling (e.g. Databricks, Trino).
• Strong experience in API development and testing.
• Proficient in deploying and managing data infrastructure in Microsoft Azure (e.g. Azure Data Lake, Azure Synapse, Azure Functions).
• Familiarity with data mesh concepts such as data as a product, domain ownership, and federated governance.
• Demonstrated experience in data governance, including stewardship, policy implementation, and metadata management.
• Knowledge of JIRA and agile delivery practices.
• Effective communicator with the ability to translate complex data issues for diverse audiences.

Responsibilities

• Develop and maintain ETL pipelines and data models for analytics and reporting platforms.
• Design, build, and maintain data products that serve specific business domains and use cases.
• Conduct advanced data mining and manipulation, advising on architecture and data model changes.
• Design and deliver Power BI dashboards and reports that provide actionable insights to business stakeholders.
• Set strategic roadmaps for information quality and ensure critical data dependencies are recognised and governed.
• Collaborate with business users to catalogue data lineage and develop data quality dashboards using modern tooling.
• Ensure data consistency through cleaning, transformation, and validation processes.
• Support data scientists and analysts by delivering robust data solutions aligned with business objectives.
• Build and maintain APIs to enable secure, scalable data exchange across systems.
• Develop and optimise data pipelines using Snowflake and other big data tools such as Databricks and Trino.
• Contribute to the implementation of data mesh principles and federated data governance.
• Leverage Data Fabric platforms such as Promethium to unify data access, discovery, and governance.
• Integrate and orchestrate data flows using MuleSoft and SnapLogic.

Skills

Data mining

Data profiling

Data manipulation

ETL coding

Data governance

Agile delivery

Communication

Data mesh concepts

Metadata management

Data quality

Tools

Power BI

Python

SQL

Azure Data Factory

Git

DBT

Snowflake

Databricks

Trino

Azure Data Lake

Azure Synapse

Azure Functions

JIRA

Job description

National Grid is seeking a data-focused engineer to design and maintain ETL pipelines, data models, and data products across analytics platforms. The role emphasizes governance, data mesh principles, and enabling data-driven decision making through robust BI solutions.

The ideal candidate will drive data quality, lineage, and APIs, collaborating with business users and data scientists in a hybrid Warwick-based role.