Data Engineer Apply now

Data Engineer

Chippenham Full-Time 43200 - 72000 £ / year (est.)
Apply now
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At a Glance

  • Tasks: Join a dynamic team to evolve data services and deliver impactful analytics.
  • Company: Work with a well-respected client known for high-quality services.
  • Benefits: Enjoy a supportive work environment and opportunities for professional growth.
  • Why this job: Be part of a forward-thinking team making a real impact in data analytics.
  • Qualifications: Experience with Azure and a passion for data engineering is essential.
  • Other info: This role offers a chance to innovate and collaborate with talented professionals.

The predicted salary is between 43200 - 72000 £ per year.

This is an exciting opportunity for an Azure Data Engineer to contribute to the evolution of data services with our forward-thinking and exceptional client.

Our well-respected client provides a wide range of high-quality services and as their newly appointed Azure Data Engineer, you will join a dynamic and supportive Data & Analytics Team.

The Data & Analytics team are integral in delivering inform…





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Data Engineer employer: Miles Recruitment

Join a forward-thinking and exceptional client as an Azure Data Engineer, where you will be part of a dynamic and supportive Data & Analytics Team. Our company values employee growth and offers a collaborative work culture that fosters innovation and creativity, ensuring that you have the tools and opportunities to excel in your career while contributing to high-quality data services.
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Contact Detail:

Miles Recruitment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer

✨Tip Number 1

Familiarize yourself with Azure services and tools, especially those related to data engineering. Being able to discuss specific Azure technologies like Azure Data Factory or Azure Databricks during your interview will show that you're not just knowledgeable but also genuinely interested in the role.

✨Tip Number 2

Network with current or former employees of the company on platforms like LinkedIn. Engaging in conversations about their experiences can provide you with valuable insights into the company culture and expectations, which you can leverage during your interview.

✨Tip Number 3

Prepare to discuss real-world projects where you've utilized data engineering skills. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your practical experience and problem-solving abilities.

✨Tip Number 4

Stay updated on the latest trends in data analytics and engineering. Mentioning recent developments or innovations in the field during your conversation can set you apart as a candidate who is proactive and passionate about continuous learning.

We think you need these skills to ace Data Engineer

Azure Data Services
Data Warehousing
ETL Processes
SQL
Data Modeling
Big Data Technologies
Data Pipeline Development
Cloud Computing
Python or R
Data Governance
Performance Tuning
Collaboration Skills
Problem-Solving Skills
Communication Skills
Agile Methodologies

Some tips for your application 🫡

Understand the Role: Take the time to thoroughly understand the responsibilities and requirements of the Azure Data Engineer position. Familiarize yourself with the specific technologies and tools mentioned in the job description.

Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job description. Emphasize your expertise in Azure and any data engineering projects you've worked on.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the company's mission. Mention how your background makes you a great fit for their Data & Analytics Team.

Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise.

How to prepare for a job interview at Miles Recruitment

✨Understand Azure Services

Make sure you have a solid understanding of Azure data services, such as Azure Data Lake, Azure SQL Database, and Azure Synapse Analytics. Be prepared to discuss how you've used these tools in past projects.

✨Showcase Your Problem-Solving Skills

Be ready to share specific examples of how you've tackled data-related challenges. Highlight your analytical thinking and how you approach problem-solving in a data engineering context.

✨Familiarize Yourself with the Team's Projects

Research the types of projects the Data & Analytics team has worked on. This will help you tailor your responses and show genuine interest in their work during the interview.

✨Prepare for Technical Questions

Expect technical questions related to data modeling, ETL processes, and database design. Brush up on your technical knowledge and be ready to demonstrate your expertise.

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  • Data Engineer

    Chippenham
    Full-Time
    43200 - 72000 £ / year (est.)
    Apply now

    Application deadline: 2027-01-04

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    Miles Recruitment

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