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- Tasks: Design and maintain data pipelines while collaborating with a dynamic team.
- Company: Join a leading global logistics organisation known for its collaborative culture.
- Benefits: Enjoy flexible working with 3 days in the office and 2 days remote.
- Why this job: Be part of a fast-paced environment that values innovation and quality data.
- Qualifications: Bachelor's degree in a relevant field and experience with SQL and Azure required.
- Other info: Opportunity to earn rewards through our referral schemes!
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!
Azure Data Engineer (,, United Kingdom) employer: Placed
Contact Detail:
Placed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer (,, United Kingdom)
✨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 interview.
✨Tip Number 2
Brush up on your SQL skills and be prepared to demonstrate your ability to write complex queries. You might be asked to solve a problem or optimise a query on the spot, so practice is key!
✨Tip Number 3
Showcase your collaborative skills. This role involves working closely with data scientists and analysts, so be ready to share examples of how you've successfully collaborated in past projects.
✨Tip Number 4
Prepare to discuss your approach to data quality and governance. The company values high standards, so think about how you've implemented best practices in previous roles and be ready to share those experiences.
We think you need these skills to ace Azure Data Engineer (,, United Kingdom)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, SQL, and ETL processes. Use specific examples from your previous 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 requirements, particularly your experience with cloud technologies and data governance best practices.
Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Describe your role, the technologies used, and the impact of your work on data quality and operational effectiveness.
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 role.
How to prepare for a job interview at Placed
✨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 troubleshooting data systems, come prepared with examples of challenges you've faced in previous positions and how you resolved them. This will show your analytical skills and ability to minimise downtime.
✨Communicate Clearly
Excellent verbal and written communication skills are essential for this position. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with various stakeholders, including data scientists and analysts.
✨Prepare for Technical Questions
Expect questions related to SQL, ETL processes, and data warehousing concepts. Brush up on these topics and be ready to demonstrate your knowledge through practical examples or even coding challenges.
