Data Engineer

Salary: 70k

Location: Home-based (UK only) with some travel within the UK

Start Date: Immediate

An innovative Professional Services company is seeking a highly skilled and experienced Senior Azure Data Engineer to join their team and play a pivotal role in their data modernisation journey.

Amongst other initiatives, you will be a part of a wider team of data engineers who can design, build, and maintain robust data pipelines and solutions on the Microsoft Azure cloud platform.

Responsibilities:

• Architect, design, and develop enterprise-grade data pipelines and data storage solutions
• Implement data integration processes for seamless data flow across systems
• Provision data storage solutions, ingesting streaming and batch data
• Transform and cleanse data to ensure its accuracy and consistency
• Implement security measures and data retention policies to safeguard sensitive information
• Collaborate with stakeholders to understand business requirements and translate them into technical specifications
• Lead quality assurance (QA) activities to ensure the integrity of data solutions
• Establish and maintain best practices for reusable code, libraries, patterns, and frameworks
• Ensure data quality, security, and adherence to data governance standards
• Monitor and troubleshoot data pipelines, identifying and resolving potential issues
• Mentor and train junior data engineers to foster knowledge sharing and expertise within the team

Skills:

• Proven experience as a Senior Data Engineer with 5+ years of industry experience
• In-depth knowledge of modern data architecture concepts and best practices
• Expert-level proficiency in Azure Synapse pipelines, Spark pools, PySpark, Azure Data Factory, Azure SQL Pools, ADLS Gen 2, Purview, and Azure App Service
• Familiarity with Microsoft Fabric is an asset
• Expertise in designing and building robust data pipelines using both batch and streaming ingestion methods over a Medallion architecture
• Strong understanding of Azure DevOps processes (including CI/CD)
• Proven experience in common data warehouse modeling principles, including Kimball and OBT
• Knowledge of Microsoft BI Stack
• Expertise in data management, data integration, and data processing methodologies
• Experience in developing and implementing security models to safeguard data integrity
• Proven ability to lead and manage small and large data engineering teams
• Experience with normalised and dimensional data modelling approaches
• Demonstrable ability to guide the development of data requirements and drive user-friendly experiences
• Expertise in working effectively in fast-paced agile environments

If this sounds like something you are interested in, please get in contact.

SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.