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- Tasks: Design and maintain data processing pipelines in a fast-paced, agile environment.
- Company: Join an innovative scale-up with an AI-driven platform for top talent discovery.
- Benefits: Enjoy remote work options, a collaborative culture, and opportunities for continuous learning.
- Why this job: Be at the forefront of data innovation while solving complex challenges in a dynamic team.
- Qualifications: Experience in AWS, SQL, Python, and big data technologies is essential.
- Other info: SC clearance is preferred; we support your unique career goals.
The predicted salary is between 48000 - 72000 £ per year.
Love Data and Platform Engineering? This is your chance to join an exciting scale-up that has developed an AI-driven platform to help large enterprises, private firms, and VC companies find the top scientists, engineers, and researchers. With over one billion data points extracted from eight terabytes of data spanning a decade, you’ll thrive in a fast-paced, agile environment with a robust engineering culture.
As a Data Platform Engineer, you will be at the forefront of designing and maintaining data processing pipelines that handle vast amounts of information. You will ensure data quality, integrity, and security while collaborating with cross-functional teams to tackle complex data challenges. Staying current with the latest trends and technologies, you will drive continuous improvement and innovation in their data processing domains.
To be suitable, you are someone who is experienced in working within a heavy AWS environment, with strong capabilities in data security, management, DevOps, and software engineering. Your critical and statistical thinking skills and passion for solving complex problems will be invaluable. You are proficient in SQL and Python, with experience in AWS services such as Athena, S3, Glue, and Spark, and you are adept at handling big data technologies and orchestration tools.
If this sounds like you and you’re keen to learn more, apply below or contact me on 07441 391334 or via email.
Are you SC cleared and ready for your next big challenge? Are you strong on the DevOps side with also a focus on security? Remote, agile, fintech, and profitable—sounds great, right?
Whatever role you are looking for, our team will work with you to understand your unique skills, experience, career goals and aspirations. Kick-start your job search by registering with us today.
Searching for new talent? Let’s go. Get in touch with us today to find out how we can help scale your team.
Data Platform Engineer employer: LinuxRecruit
Contact Detail:
LinuxRecruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer
✨Tip Number 1
Familiarise yourself with the specific AWS services mentioned in the job description, such as Athena, S3, Glue, and Spark. Having hands-on experience or projects that showcase your skills with these tools will make you stand out during discussions.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that involve data processing to demonstrate your proficiency.
✨Tip Number 3
Stay updated on the latest trends in data engineering and security. Being able to discuss recent advancements or technologies during your interview will show your passion and commitment to continuous improvement.
✨Tip Number 4
Network with professionals in the data engineering field, especially those who work with AWS. Engaging in relevant online communities or attending meetups can provide valuable insights and potentially lead to referrals.
We think you need these skills to ace Data Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, SQL, Python, and any relevant big data technologies. Emphasise your skills in data security, management, and DevOps, as these are crucial for the Data Platform Engineer role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and platform engineering. Mention specific projects or experiences that demonstrate your ability to handle complex data challenges and your familiarity with the tools mentioned in the job description.
Showcase Relevant Projects: If you have worked on any significant projects involving data processing pipelines or AWS services, include them in your application. Describe your role, the technologies used, and the impact of your work to illustrate your capabilities.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops you've completed related to data engineering, AWS, or security. This shows your commitment to staying current with industry trends and your eagerness to improve your skills.
How to prepare for a job interview at LinuxRecruit
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AWS services like Athena, S3, Glue, and Spark. Highlight specific projects where you utilised SQL and Python to solve complex data challenges, as this will demonstrate your technical proficiency.
✨Emphasise Data Security Knowledge
Given the importance of data security in this role, be ready to talk about your understanding of data integrity and security measures. Share examples of how you've implemented security protocols in previous projects.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss instances where you've tackled complex data problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers, showcasing your critical and statistical thinking skills.
✨Stay Current with Industry Trends
Research the latest trends in data processing and platform engineering. Being able to discuss recent advancements or technologies will show your passion for continuous improvement and innovation in the field.
