Data Engineer Consultant building and maintaining enriched data infrastructure for analytical thinking at Northwest Permanente. Involves data collection, cleansing, and transformation for business intelligence.
About the role
- Senior Data Engineer at Cifas designing and developing data pipelines using Microsoft Fabric tools. Collaborating with teams to ensure data integrity and performance optimization.
Responsibilities
- 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.
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