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For Companies At a Glance
- 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 work options 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!
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes!
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. Given that SQL is a key requirement for this position, having practical examples ready will help you stand out.
✨Tip Number 3
Network with professionals in the logistics and data engineering fields. Attend industry meetups or online webinars to connect with others who may have insights into the company or role, which could give you an edge.
✨Tip Number 4
Prepare to discuss your experience with ETL processes and data governance. Be ready to share specific examples of how you've implemented best practices in previous roles, as this will show your capability to maintain high data quality.
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 data engineering. Use specific examples from your past roles that demonstrate your skills in developing and optimising data pipelines.
Craft a Strong Cover Letter: Write a cover letter that addresses the key responsibilities mentioned in the job description. Explain how your background aligns with the role and express your enthusiasm for working in a collaborative team environment.
Highlight Relevant Skills: In your application, emphasise your familiarity with cloud technologies, programming languages, and data warehousing concepts. Mention any experience with tools like Docker or Kubernetes, as these are advantageous for the role.
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 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 optimised data pipelines using Azure services, as this will demonstrate your hands-on knowledge and ability to contribute immediately.
✨Prepare for Technical Questions
Expect technical questions related to SQL, ETL processes, and data warehousing concepts. Brush up on your understanding of these areas and be ready to solve problems on the spot, as this will showcase your analytical skills and attention to detail.
✨Emphasise Collaboration Skills
Since the role involves working closely with data scientists and analysts, be sure to discuss your experience in collaborative environments. Share examples of how you've successfully worked in teams to deliver accurate data solutions and how you handle feedback during code reviews.
✨Demonstrate Problem-Solving Abilities
Be prepared to talk about past challenges you've faced in data engineering and how you resolved them. This could include troubleshooting data systems or implementing data quality practices. Highlighting your proactive approach to problem-solving will impress the interviewers.
