Azure Data Infrastructure Engineer
2 days ago
Data Engineer Job Description
About the Role
We are seeking an experienced Data Engineer to join our team in Manchester City Centre. As a Data Engineer, you will play a crucial role in designing, implementing, and maintaining our data infrastructure. You will lead a small team and work closely with business stakeholders to ensure the availability, reliability, and performance of our data pipelines.
Key Responsibilities
- Design and develop scalable data pipelines using Python, Azure Data Factory, and other relevant tools.
- Collaborate with business stakeholders to understand data requirements and integrate diverse data sources into a unified data lake or warehouse.
- Perform data cleansing, transformation, and enrichment to ensure data quality and consistency.
- Monitor and optimise data pipelines for performance, scalability, and cost-effectiveness.
- Implement and maintain data security and compliance measures to protect sensitive information.
- Create and maintain clear documentation for data pipelines, data schemas, and processes.
- Diagnose and resolve data-related issues promptly, ensuring minimal downtime.
- Implement automation scripts and workflows to streamline data engineering processes.
- Liaise with third parties, providing relevant data to support project delivery, system maintenance, and change programmes.
- Lead the data team to deliver against their objectives and key performance indicators, including scheduling of work and maintaining high-quality performance.
- Create and maintain relevant KPI reports to monitor and track the data team's progress against data requirements and delivery.
Requirements
- BSc in Computer Science, Information Technology, or a related field.
- Previous experience in data engineering or a similar role.
- People management experience with a proven track record of successfully leading a small team.
- Strong proficiency in Python programming for data manipulation and transformation.
- Knowledge of data modelling and database design principles.
- Familiarity with ETL (Extract, Transform, Load) processes and tools.
- Strong problem-solving and troubleshooting skills.
- Excellent communication and teamwork abilities.
- Attention to detail and a commitment to data quality.
Nice to Have Skills
- Certification in Azure Data Engineering or a related field.
- Familiarity with data warehousing concepts and platforms.
- Experience with data visualisation tools (e.g., Power BI, Tableau).
- Experience with Azure cloud services, including Azure Data Factory, Azure Data Lake Storage, Azure Databricks, and Azure SQL Database.
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