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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 enjoy excellent career growth opportunities.
- Why this job: Make a real 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.
Qualifications
- 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.
Preferred Skills
- Familiarity with Azure cloud platform.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration abilities.
Why Join Us?
- Work remotely from anywhere!
- Collaborate with a dynamic and innovative team.
- Make a significant impact in a growing industry.
Azure Data Engineer employer: ESP Engineered
Contact Detail:
ESP Engineered Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data projects, especially those involving Azure and ETL processes. 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 common data engineering questions and scenarios. Practice explaining your past projects and how you've tackled challenges, especially around data integrity and performance optimisation.
✨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 gives you a better chance to stand out in the hiring process.
We think you need these skills to ace Azure Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Azure Data Engineer role. Highlight your experience with data pipelines, ETL processes, and any relevant projects that showcase your skills in SQL, Python, or Java.
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. Be sure to mention any specific experiences that relate to the job description.
Showcase Your Projects: If you've worked on any interesting data projects, don’t hesitate to include them! Whether it's building data lakes or creating visualisations, sharing these experiences can really set you apart from other candidates.
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’re considered for the role as quickly as possible!
How to prepare for a job interview at ESP Engineered
✨Know Your Data 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!
✨Showcase Your Problem-Solving Skills
Prepare to tackle some hypothetical scenarios during the interview. Think about how you would approach common data challenges, like ensuring data integrity or optimising performance. This will show them you can think on your feet and are ready for real-world issues.
✨Collaboration is Key
Since this role involves working with cross-functional teams, be prepared to talk about your collaboration experiences. Share examples of how you've gathered requirements from stakeholders and delivered effective solutions. Highlight your communication skills!
✨Stay Current with Trends
Familiarise yourself with the latest trends in data visualisation and best practices in data modelling. Being able to discuss recent developments or tools in the industry will demonstrate your passion and commitment to continuous improvement.