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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 initiative transforming data solutions across multiple business domains.
- Benefits: Enjoy the chance to work with cutting-edge technologies and shape your career in data engineering.
- Why this job: This role offers a unique opportunity to influence major data transformations and tackle complex challenges.
- Qualifications: Strong AWS data engineering skills, Python, SQL, and a passion for data governance are essential.
- Other info: Ideal for those looking to make a significant impact in a greenfield project.
The predicted salary is between 48000 - 84000 £ 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 (London Area) 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 (London Area)
✨Tip Number 1
Familiarise yourself with the specific AWS tools mentioned in the job description, such as Glue, Athena, and PySpark. Consider building a small project or contributing to open-source projects that utilise these technologies to showcase your hands-on experience.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with AWS. Attend meetups or webinars focused on AWS data solutions to gain insights and potentially connect with someone from our team at StudySmarter.
✨Tip Number 3
Stay updated on the latest trends in data governance and security, as these are crucial for the role. Follow relevant blogs, podcasts, or online courses to deepen your understanding and be prepared to discuss these topics during interviews.
✨Tip Number 4
Prepare to demonstrate your problem-solving skills by thinking of examples where you've built scalable data pipelines or tackled complex data challenges. Be ready to share these experiences in a conversational manner during your interview with us.
We think you need these skills to ace AWS Data Engineer - Market Data (London Area)
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 mention these 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 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 provide examples of how you've used these languages for data processing and analysis. Consider preparing a small coding challenge or discussing a complex query you've written.
✨Discuss Data Governance and Security
Given the importance of data governance, quality, and security in this role, come prepared to talk about your understanding of these concepts. Share any experiences you have in implementing data governance frameworks or ensuring data security in previous roles.
✨Express Your Passion for Data Solutions
This position is all about building scalable and efficient data pipelines. Convey your enthusiasm for tackling complex data challenges and your vision for how you can contribute to the next-generation data platform initiative.
