Maintaining, monitoring and managing the Cifas data analytics environment, leveraging Microsoft Fabric tools to build and manage data ecosystems, ensuring scalability and performance optimisation.
Designing and implementing scalable data pipelines using Microsoft Fabric components such as Data Factory, Lakehouse, and Data Warehouse.
Developing and optimising complex queries for data extraction, transformation, and loading (ETL) processes.
Collaborating with cross-functional teams and external providers to understand data requirements and deliver solutions that meet business needs.
Ensuring data quality and integrity through rigorous testing and validation procedures.
Monitoring and troubleshooting data workflows, ensuring high availability and performance.
Ensuring data pipelines are available and optimised for the application of data science and AI tools
Implementing data governance and security measures in compliance with industry standards.
Documenting data workflows, system architectures, and integration processes to ensure transparency and knowledge sharing across teams.
Providing technical support and training where necessary to ensure effective use of data platforms and tools.

Requirements

A degree in Computer Science, Information Systems, or a related field.
Proven experience in data engineering with a focus on SQL and Microsoft Fabric and its components.
Proficiency in programming languages like Python, SQL, and Scala for data manipulation and pipeline development.
Hands-on experience with Microsoft Fabric tools, including Data Factory, Lakehouse, and Data Warehouse.
Familiarity with cloud platforms such as Azure, AWS, or GCP.
Understanding of data modelling techniques and best practices.
Knowledge of data visualization tools like Power BI or Tableau.
Certifications in Microsoft Azure or related technologies.
Familiarity with big data technologies and frameworks
Experience of working with data science and AI tools in Microsoft Fabric
Ability to diagnose and resolve issues within data pipelines and systems.
Capacity to design scalable and efficient solutions for complex data challenges.
Strong written and verbal communication skills to liaise with technical and non-technical stakeholders effectively.

Benefits

Remote working with approximately 2 days a month in the London office.
Generous annual leave allowance plus the bank holidays
Private healthcare
Excellent pension package through salary sacrifice
Personal and professional growth
Employee wellbeing services – Wellbeing hub access with resources to various online exercise content, meditation guides, sleep stories and yoga.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

data engineeringSQLPythonScaladata manipulationdata pipeline developmentdata modellingdata visualizationETL processesdata governance

collaborationproblem-solvingcommunicationtrainingdocumentation

Microsoft Azure