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- Tasks: Join a team to build a next-gen data platform from scratch using AWS tools.
- Company: Be part of a high-impact team driving innovative data solutions.
- Benefits: Enjoy the chance to work with cutting-edge technologies and flexible work options.
- Why this job: Shape the future of data architecture while tackling complex challenges across various domains.
- Qualifications: Strong AWS data engineering skills, Python, SQL, and a passion for data governance.
- Other info: This is a greenfield opportunity to influence a major data transformation.
The predicted salary is between 43200 - 72000 £ per year.
We're looking for a Senior AWS Data Engineer to join a high-impact team driving a next-generation data platform initiative. This is a greenfield opportunity to shape the architecture and engineering of a cutting-edge data solution from scratch.
You'll be working with modern technologies like Databricks, Snowflake, and the latest in AWS data tooling, helping to solve complex data challenges that have wide-reaching impact across multiple business domains.
Key Requirements:- Strong experience in AWS data engineering tools (e.g., Glue, Athena, PySpark, Lake Formation)
- Solid skills in Python and SQL for data processing and analysis
- Deep understanding of data governance, quality, and security
- A passion for building scalable, secure, and efficient data pipelines
- Broader experience across data platforms or tools
- Familiarity with analytics, ML, or financial data
This is a unique chance to make your mark on a major data transformation!
Contact Detail:
Vertus Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer - Market Data
✨Tip Number 1
Familiarise yourself with the specific AWS tools mentioned in the job description, such as Glue, Athena, and Lake Formation. Having hands-on experience or projects showcasing these tools will give you a significant edge during discussions.
✨Tip Number 2
Network with current or former employees of StudySmarter on platforms like LinkedIn. Engaging with them can provide insights into the company culture and the team dynamics, which can be invaluable during your interview.
✨Tip Number 3
Prepare to discuss your previous experiences with data governance and security. Be ready to share specific examples of how you've ensured data quality in past projects, as this is a key requirement for the role.
✨Tip Number 4
Showcase your passion for data engineering by staying updated on the latest trends and technologies in the field. Mention any relevant online courses or certifications you've completed, especially those related to AWS or data analytics.
We think you need these skills to ace AWS Data Engineer - Market Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS data engineering tools like Glue, Athena, and PySpark. Include specific projects where you've built scalable data pipelines or worked on data governance.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with the job requirements. Mention any relevant experience with modern technologies like Databricks and Snowflake.
Showcase Your Technical Skills: If you have experience with Python and SQL, provide examples of how you've used these languages for data processing and analysis. Highlight any complex data challenges you've solved in previous roles.
Research the Company: Familiarise yourself with the company's data initiatives and values. Understanding their approach to data governance and security will help you tailor your application and demonstrate your fit for the role.
How to prepare for a job interview at Vertus Partners
✨Showcase Your AWS Expertise
Make sure to highlight your experience with AWS data engineering tools like Glue, Athena, and PySpark. Be prepared to discuss specific projects where you've successfully implemented these technologies and the impact they had on the business.
✨Demonstrate Your Python and SQL Skills
Since strong skills in Python and SQL are key requirements, be ready to solve coding challenges or answer technical questions related to data processing and analysis. Brush up on common functions and best practices in both languages.
✨Discuss Data Governance and Security
Understanding data governance, quality, and security is crucial for this role. Prepare examples of how you've ensured data integrity and compliance in previous projects, and be ready to discuss your approach to maintaining high standards.
✨Express Your Passion for Data Solutions
This position is about building scalable and efficient data pipelines. Share your enthusiasm for data engineering and any innovative solutions you've developed in the past. This will show your potential employer that you're not just qualified, but also genuinely interested in the work.
