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- Tasks: Design and maintain scalable data pipelines on AWS to process education data.
- Company: Join a leading EdTech company revolutionizing education through data insights.
- Benefits: Enjoy a hybrid work model and a competitive salary of up to £65,000.
- Why this job: Make a real impact on teaching methods while working with cutting-edge technology.
- Qualifications: 3+ years as a Data Engineer, proficient in AWS, SQL, and Python.
- Other info: Collaborate with data scientists and analysts in a dynamic, innovative environment.
The predicted salary is between 39000 - 65000 £ per year.
Job Title: AWS Data Engineer Location: London (Hybrid, 3 days on-site) Salary: Up to £65,000 About the Company: Join a leading Education Technology specialist that holds the largest repository of education data in Europe. This pioneering organization is transforming teaching through advanced data insights, empowering educators to make informed decisions and revolutionizing the future of education. About the Role: As an AWS Data Engineer , you’ll play a critical role in shaping the way education data is processed, analyzed, and utilized. Leveraging your expertise in AWS, SQL, and Python, you’ll develop cutting-edge data pipelines and platforms to handle vast volumes of education data. Your contributions will have a direct impact on enhancing teaching methods and delivering innovative solutions to educators. Key Responsibilities: Data Pipeline Development: Design, build, and maintain scalable data pipelines on AWS to process large-scale datasets. Data Integration: Develop ETL/ELT workflows to integrate data from multiple sources, ensuring accuracy and reliability. Collaboration: Work closely with data scientists, analysts, and stakeholders to deliver robust data solutions that meet business needs. Optimization: Improve data systems for scalability, performance, and cost-efficiency. Security: Ensure data security and compliance with relevant regulations and standards. Key Skills & Experience: 3+ years of experience as a Data Engineer or similar role. Proficiency in AWS cloud services Strong experience with SQL for querying, data modeling, and optimization. Solid programming skills in Python Familiarity with data pipeline tools Knowledge of data warehousing concepts and best practices. Excellent problem-solving skills and ability to work collaboratively in a hybrid environment.
AWS Data Engineer employer: Accelero
Contact Detail:
Accelero Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer
✨Tip Number 1
Familiarize yourself with the specific AWS services mentioned in the job description, such as AWS Glue or Amazon Redshift. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your readiness for the role.
✨Tip Number 2
Engage with the education technology community on platforms like LinkedIn or relevant forums. Networking with professionals in this field can provide insights into industry trends and may even lead to referrals for the position.
✨Tip Number 3
Prepare to discuss real-world examples of data pipeline projects you've worked on. Be ready to explain your thought process, the challenges you faced, and how you optimized the systems for performance and cost-efficiency.
✨Tip Number 4
Stay updated on the latest developments in data engineering and AWS technologies. Following relevant blogs, attending webinars, or taking online courses can help you bring fresh ideas to the table during interviews.
We think you need these skills to ace AWS Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the AWS Data Engineer position. Highlight the key responsibilities and required skills, and think about how your experience aligns with them.
Tailor Your CV: Customize your CV to emphasize your experience with AWS, SQL, and Python. Include specific examples of data pipeline development and any relevant projects that showcase your skills in data integration and optimization.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for education technology. Mention how your work can contribute to transforming teaching through data insights.
Highlight Collaboration Skills: Since the role involves working closely with data scientists and stakeholders, be sure to mention any collaborative projects you've been part of. Showcase your ability to communicate effectively and work in a hybrid environment.
How to prepare for a job interview at Accelero
✨Showcase Your AWS Expertise
Make sure to highlight your experience with AWS services during the interview. Be prepared to discuss specific projects where you utilized AWS for data pipeline development and how it contributed to the overall success of the project.
✨Demonstrate SQL Proficiency
Since SQL is a key skill for this role, be ready to answer technical questions related to querying, data modeling, and optimization. You might even be asked to solve a problem on the spot, so brush up on your SQL skills beforehand.
✨Prepare for Collaboration Questions
Collaboration is crucial in this role, so expect questions about how you've worked with data scientists, analysts, and stakeholders in the past. Share examples that showcase your ability to communicate effectively and deliver robust data solutions.
✨Discuss Data Security Practices
Given the importance of data security and compliance, be prepared to talk about your experience with ensuring data security in previous roles. Discuss any relevant regulations or standards you are familiar with and how you implemented them in your work.
