At this industry disrupter you will have the rare opportunity to see how your work impacts the trajectory of a rapid-growth company. They are looking for a Data Engineer to help deliver on the strategic data roadmap that will quickly evolve the maturity of the business. this organisations wants someone with technical and communication skills, who is hungry to have an impact, and is not satisfied with mediocrity

ABOUT THE ROLE
As a Senior Data Engineer, you will play a key role in designing, developing, and optimizing data warehouse and business intelligence platforms. You will work closely with a high-performing team to strategize and implement BI solutions that drive valuable insights for the organization.
The ideal candidate is self-motivated, detail-oriented, and a strong team player with a passion for delivering high-quality BI solutions in a cloud-based environment.
KEY RESPONSIBILITIES:

• Understand business needs and translate them into data solutions.
• Design, develop, and maintain ETL/ELT pipelines for ingesting data from various source systems into our SQL Dedicated Pool and Synapse Lakehouse platforms.
• Develop and optimise data transformation logic using T-SQL and Spark (Python) within Synapse Pipelines.
• Develop Spark notebooks for complex data transformations and processing within the Synapse environment.
• Implement data quality checks and validation rules to ensure data accuracy and consistency.
• Build and deploy Synapse Pipelines for orchestrating data ingestion, transformation, and loading processes in Azure Synapse Analytics/ Microsoft Fabric
• Collaborate with data architects to implement and maintain the data model and metadata management.
• Work with Power BI developers to provide curated and performant datasets for reporting and analytics within Microsoft Fabric; also develop analytics reports if required

To be successful in this role, you will have:

• 5+ years of experience in data engineering or a similar role.
• Strong understanding of data warehousing concepts, dimensional modeling, and ETL/ELT principles.
• Expertise in T-SQL and experience working with SQL Server and/or Azure Synapse Dedicated SQL Pools.
• Hands-on experience with Azure Synapse Analytics, including Synapse Pipelines and Spark Pools.
• Experience with Spark (Python) for data processing and transformation.
• Familiarity with Microsoft Fabric components (Data Factory, Synapse Data Engineering, Power BI).
• Experience with version control systems (e.g., Git Integrated Visual Studio and Azure DevOps).
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.

Feel free to get in contact with Paula Bautista at [email protected] for more information.