Find a job 
Featured Companies 
Featured Universities 
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 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 teamwork.
- Qualifications: Bachelor's degree in a relevant field and experience with SQL and Azure required.
- Other info: Opportunity to earn up to £70,000 based on experience; referral bonuses available.
The predicted salary is between 42000 - 84000 £ per year.
Data Engineer (MS Azure)
Location: Middlesex 3 days in the office 2 days\’ work from home
Salary: Negotiable to £70,000 Dependent on Experience
Job Reference J12953
Please note we can only accept applications from those with current UK working rights for this role, this client cannot offer visa sponsorship.
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! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Datatech is one of the UK\’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk
#J-18808-Ljbffr
MS Azure Data Engineer employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MS Azure Data Engineer
✨Tip Number 1
Familiarise yourself with Azure and its data services. Since the role specifically requires Azure experience, consider taking online courses or tutorials to deepen your understanding of Azure Data Factory, Azure SQL Database, and other relevant tools.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with Azure. Attend meetups, webinars, or industry conferences to connect with potential colleagues and learn about the latest trends and best practices.
✨Tip Number 3
Prepare to discuss your experience with ETL processes and data pipelines in detail during interviews. Be ready to share specific examples of projects you've worked on, focusing on your problem-solving skills and how you ensured data quality.
✨Tip Number 4
Research the company’s culture and values. Understanding their approach to collaboration and innovation will help you tailor your responses in interviews and demonstrate that you're a good fit for their team-oriented environment.
We think you need these skills to ace MS 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 skills in developing data pipelines and ETL processes.
Craft a Compelling Cover Letter: Write a cover letter that explains why you are the perfect fit for this role. Mention your relevant experience, your understanding of data governance best practices, and how you can contribute to the team’s success.
Highlight Relevant Skills: In your application, emphasise your familiarity with cloud technologies like Azure and any programming languages you know, such as Python or Java. This will show that you meet the qualifications outlined in the job description.
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
Expect questions that assess your troubleshooting abilities. Prepare examples of how you've monitored and resolved data system issues in the past, showcasing your analytical skills and attention to detail.
✨Communicate Clearly
Since excellent verbal and written communication skills are essential, practice explaining complex technical concepts in simple terms. This will help you connect with non-technical stakeholders during the interview.
✨Prepare for Collaboration Questions
As the role involves working closely with data scientists and analysts, be ready to discuss your experience in collaborative environments. Share examples of how you've contributed to team projects and supported data governance best practices.
