Senior Data Engineer - Dudley

Senior Data Engineer - Dudley

Senior Data Engineer with excellent experience in Microsoft Fabric, Data lakes, data engineering, data development, data integrations, SQL, data warehousing, & Azure data platforms is required by a leading company near Dudley.

The role can be mostly remote, with 1 days in the office. As part of an ongoing investment in data and analytics capabilities, they are seeking a Data Engineer to join a growing data team and help shape the future of their data platform, as they implement Microsoft Fabric across the business

Key Skills:

• Excellent Microsoft Fabric experience within Data Engineering, Azure / Microsoft Data Engineering

• Experience developing data integrations and working with APIs.

• Excellent experience of data warehousing, ETL / ELT, Data Pipelines, Data Lake, SQL, Performance optimisation etc.

• Ability to integrate complex finance ERP or other transactional source systems

• Databricks experience.

• Excellent ability in documentation and knowledge transfer, so all knowledge is brought in house.

• Azure Data Platform technologies, Azure Data Lake, Azure Analysis Services.

Desirable Skills:

• Snowflake, ThoughtSpot.

• Knowledge of Kimball and Inmon data warehousing methodologies.

• Exposure to AI-assisted development tools and modern AI technologies.

The Role:

This is a highly technical Senior Data Engineer position focused on building, integrating and transforming data to support business intelligence, commercial decision-making and strategic growth. You will own and manage the data lake, ingestion from APIs, flat files, internal systems etc.

Working closely with the Finance Team, Commercial Analysts and wider Technology function, you will be responsible for building a data platform from multiple source systems, developing integrations, maintaining data pipelines and supporting the ongoing evolution of the organisation's data architecture.

Key Responsibilities:

• Be the technical owner of the Microsoft Fabric Data platform

• The key person to bring all the knowledge if the Data Engineering and platform inhouse, so there is less reliance on an external parter.

• Develop and maintain integrations between internal and third-party systems.

• Build and optimise data models, schemas and warehouse structures.

• Collaborate with BI Developers to deliver accurate and scalable reporting solutions.

• Work with Finance, Commercial and Operational teams to understand business requirements and data challenges.