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- Tasks: Join a dynamic team to design and maintain data pipelines using Azure.
- Company: Work with a leading global logistics organisation focused on data integrity.
- Benefits: Enjoy flexible work options: 3 days in the office, 2 days remote.
- Why this job: Be part of a collaborative environment that values innovation and quality.
- Qualifications: Bachelor’s degree in a relevant field and experience with SQL and Azure required.
- Other info: Opportunity for referral bonuses and involvement in exciting projects.
The predicted salary is between 42000 - 84000 £ per year.
A market leading global logistics organisation seeks an experienced Data Engineer with Azure experience to support the development and optimisation 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 minimise 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, Mathematics, or a related discipline
- Proven experience of SQL and relational databases
- Experience of cloud technologies such as Azure, Snowflake and Terraform is advantageous
- Experience of knowledge of containers such as Docker and Kubernetes is advantageous
- 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
- Excellent verbal and written communication skills in English is essential
- Airline experience is advantageous
If you are interested in this exciting new opportunity, please make an application today!
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer
✨Tip Number 1
Familiarise yourself with Azure and its data services. Since the role specifically requires Azure experience, make sure you can discuss your hands-on experience with Azure Data Factory, Azure SQL Database, and other relevant tools during your conversations.
✨Tip Number 2
Network with professionals in the logistics and data engineering sectors. Attend industry meetups or webinars to connect with people who work in similar roles. This can provide insights into the company culture and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with ETL processes and data quality management. Be ready to share specific examples of how you've implemented best practices in previous roles, as this will demonstrate your capability to meet the job's requirements.
✨Tip Number 4
Showcase your problem-solving skills by preparing for technical discussions. Think of scenarios where you've had to troubleshoot data systems or optimise data pipelines, as these experiences will be valuable in the interview process.
We think you need these skills to ace Azure Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, SQL, and data engineering. Use specific examples from your past roles that demonstrate your ability to design and maintain data pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with the job responsibilities, particularly in data quality and governance practices.
Showcase Relevant Projects: If you have worked on projects involving cloud technologies like Azure or tools such as Docker and Kubernetes, be sure to include these in your application. Highlight your contributions and the impact of your work.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Engineer.
How to prepare for a job interview at Datatech Analytics
✨Showcase Your Azure Expertise
Make sure to highlight your experience with Azure during the interview. Be prepared to discuss specific projects where you've designed or maintained data pipelines using Azure services, as this is crucial for the role.
✨Demonstrate Problem-Solving Skills
Since the role involves monitoring and troubleshooting data systems, be ready to share examples of how you've addressed issues in the past. Discuss your approach to minimising downtime and ensuring data integrity.
✨Communicate Clearly
Excellent verbal and written communication skills are essential for this position. Practice explaining complex technical concepts in simple terms, as you may need to collaborate with non-technical stakeholders.
✨Prepare for Technical Questions
Expect questions related to SQL, ETL processes, and data warehousing concepts. Brush up on your knowledge of programming languages like Python or Java, and be ready to discuss how you've used them in your previous roles.
