Data Engineer
21 hours ago
£45000–£60000 yearly
Full-time
Birmingham
About the job Data Engineer (Azure)
Location: Birmingham 2 days in the office 3 days work from home
Salary: Negotiable to £60,000 Dependent on Experience A market leading global logistics organization seeks an experienced Data Engineer with Azure experience to support the development and optimization of data pipelines. The role will focus on ensuring the reliable flow of information across the business, maintaining the highest standards of quality data and integrity. This is an exciting opportunity to join an established and collaborative team working in a fast paced, team orientated environment. Job Role and Responsibilities
Assist in the design, development, and maintenance of data pipelines and ETL processes
Collaborate with data scientists, analysts, and other stakeholders to ensure accurate data collection and delivery
Monitor and troubleshoot data systems, addressing issues promptly to minimize downtime
Support the implementation of data quality and data governance best practices
Participate in code reviews and contribute to the continuous improvement of our data infrastructure
Document processes, configurations, and data flows to facilitate knowledge sharing across the team
Responsibility for planning activities and projects
Ensures the highest quality of information, reports and communications are being delivered to our customers and internally
Build business partnerships with key customers and other external partners by understanding the business and political environment in which they operate and by adding personal value
Strategically challenges the status quo for identification of ongoing enhancements to operational effectiveness and enhancement of the customer experience Role Qualification
Bachelor’s degree in Computer Science, Information Technology or a related discipline
Proven experience of SQL and relational databases
Experience of cloud technologies such as Azure, Snowflake
Experience of knowledge of containers such as Docker and Kubernetes is advantageous but not mandatory
Familiarity with at least one programming language (e.g. Python, Java, or Scala)
Proven experience of data warehousing concepts and ETL processes
Strong analytical skills and attention to detail
If you are interested in this exciting new opportunity, please make an application today!