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- Tasks: Architect and implement scalable data solutions while collaborating with cross-functional teams.
- Company: Join a dynamic team in a growing industry with remote work flexibility.
- Benefits: Enjoy competitive salary, health benefits, and the freedom to work from anywhere.
- Other info: Stay updated on industry trends and work with innovative technologies.
- Why this job: Make a significant impact in data engineering and enhance your skills in a supportive environment.
- Qualifications: 7+ years of experience in data engineering and strong SQL proficiency required.
The predicted salary is between 70000 - 98000 £ per year.
Are you an experienced Data Engineer looking for an exciting opportunity to make an impact? We are seeking a talented individual to join our team and help architect and implement scalable data solutions.
Location: Remote
Experience: 7+ years
Employment Type: Full-time/Contract
Key Responsibilities- Architect, design, and implement robust and scalable data pipelines.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Ensure data integrity, quality, and security throughout the data lifecycle.
- Optimize and tune existing data systems for enhanced performance.
- Gather visualization requirements from stakeholders and create effective solutions.
- Utilize DAX functions for complex data calculations and transformations.
- Extract, transform, and load (ETL) data from various sources into Power BI.
- Implement best practices in data modeling for accuracy and reliability.
- Create visually appealing and easy-to-understand data visualizations.
- Stay updated on industry trends in data visualization to continuously improve capabilities.
- 7+ years of experience as a Data Engineer or in a similar role.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Proven experience in data engineering, ETL processes, and data warehousing.
- Strong proficiency in SQL and programming languages like Python or Java.
- Expertise in building and maintaining data lakes.
- Familiarity with Azure cloud platform.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration abilities.
- Work remotely from anywhere!
- Collaborate with a dynamic and innovative team.
- Make a significant impact in a growing industry.
Azure Data Engineer in London employer: ESP Engineered
Contact Detail:
ESP Engineered Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure. A friendly chat can lead to insider info about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data projects, especially those involving ETL processes and Power BI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and programming skills. Be ready to discuss your experience with data pipelines and how you've tackled challenges in previous roles. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. Plus, it makes it easier for us to spot your application and get in touch.
We think you need these skills to ace Azure Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Azure Data Engineer role. Highlight your 7+ years of experience and any relevant projects that showcase your skills in data pipelines, ETL processes, and data warehousing.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission at StudySmarter. Don’t forget to mention your familiarity with the Azure cloud platform!
Showcase Your Technical Skills: Be sure to list your technical skills prominently, especially your proficiency in SQL, Python, or Java. We want to see your expertise in action, so consider including specific examples of how you've used these skills in past roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at ESP Engineered
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially around Azure and ETL processes. Be ready to discuss your experience with SQL, Python, and any data lakes you've built. The more specific examples you can provide, the better!
✨Show Off Your Problem-Solving Skills
Prepare to tackle some hypothetical scenarios during the interview. Think about how you would approach common data challenges and be ready to explain your thought process. This will showcase your analytical abilities and how you handle real-world problems.
✨Collaboration is Key
Since the role involves working with cross-functional teams, be prepared to talk about your collaboration experiences. Share examples of how you've worked with others to gather requirements or deliver solutions, highlighting your communication skills.
✨Stay Current with Trends
Familiarise yourself with the latest trends in data visualization and engineering. Mention any recent tools or techniques you've learned about, especially those related to Power BI and DAX functions. This shows you're proactive and passionate about your field!