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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 with real-world impact.
- 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 48000 - 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
Nice to Have:
- 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!
AWS Data Engineer – Market Data employer: Vertus Partners
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 PySpark. Having hands-on experience or projects showcasing these technologies will demonstrate your capability to handle the responsibilities of the role.
✨Tip Number 2
Network with current or former employees at StudySmarter or in similar roles. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during interviews.
✨Tip Number 3
Stay updated on the latest trends in data engineering and cloud technologies. Being able to discuss recent advancements or case studies related to data governance and security will show your passion and commitment to the field.
✨Tip Number 4
Prepare to discuss your previous projects that involved building scalable data pipelines. Be ready to explain the challenges you faced and how you overcame them, as this will highlight your problem-solving skills and technical expertise.
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 you can contribute to the company's next-generation data platform initiative. Mention any relevant experience with modern technologies like Databricks and Snowflake.
Showcase Technical Skills: Clearly outline your proficiency in Python and SQL within your application. Provide examples of how you've used these skills to solve complex data challenges in previous roles.
Highlight Relevant Projects: If you have experience with analytics, machine learning, or financial data, be sure to include this in your application. Discuss any projects that demonstrate your ability to work across different data platforms or tools.
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 Lake Formation. Be prepared to discuss specific projects where you've successfully implemented these technologies and the impact they had on the overall data architecture.
✨Demonstrate Your Coding Skills
Since strong skills in Python and SQL are essential for this role, be ready to solve coding challenges or answer technical questions during the interview. Brush up on your data processing techniques and be prepared to explain your thought process clearly.
✨Discuss Data Governance and Security
Given the importance of data governance, quality, and security in this position, come prepared to discuss your understanding of these concepts. Share examples of how you've ensured data integrity and compliance in previous roles.
✨Express Your Passion for Data Solutions
This is a greenfield opportunity, so convey your enthusiasm for building scalable and efficient data pipelines. Talk about your vision for data solutions and how you can contribute to the team's success in transforming their data platform.
