At a Glance
- Tasks: Design and develop scalable data pipelines using Python and Apache Spark.
- Company: Join Deepstreamtech, a leader in innovative data solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative team culture with exciting projects and career advancement.
- Why this job: Shape the future of data platforms in a modern AWS environment.
- Qualifications: Proficient in Python with a passion for data engineering and financial analytics.
The predicted salary is between 70000 - 90000 € per year.
Deepstreamtech is seeking a Lead Software Data Engineer in Greater London to design and develop scalable data pipelines using Python and Apache Spark. You will work in a modern AWS environment to build robust data solutions and collaborate with various teams to deliver high-quality data services.
Ideal candidates should be proficient in Python, have experience with data engineering concepts, and be eager to learn about financial analytics and indices. Join us to shape the next-generation data platform at FTSE Russell.
Lead AWS Data Engineer – Spark, ETL & Lakehouse in London employer: Deepstreamtech
Deepstreamtech is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Greater London. With a strong focus on employee growth, we offer continuous learning opportunities and the chance to work with cutting-edge technologies in a dynamic AWS environment. Join us to not only advance your career but also contribute to shaping the future of data solutions in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AWS Data Engineer – Spark, ETL & Lakehouse in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python and Apache Spark. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data engineering and be ready to discuss your experience with ETL processes and AWS environments.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Lead AWS Data Engineer – Spark, ETL & Lakehouse in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, Apache Spark, and data engineering concepts. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Lead AWS Data Engineer position and how your background makes you a perfect fit for our team at Deepstreamtech.
Showcase Your Learning Mindset:We love candidates who are eager to learn! Mention any interest or experience you have with financial analytics and indices, as this will show us that you’re ready to dive into new challenges.
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Inside Out
Make sure you brush up on your Python and Apache Spark skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand the AWS Environment
Since you'll be working in a modern AWS environment, familiarise yourself with AWS services relevant to data engineering. Be prepared to talk about how you've leveraged AWS tools in past projects to build scalable data solutions.
✨Show Your Collaborative Spirit
Collaboration is key in this role. Think of examples where you've worked with different teams to deliver data services. Highlight your communication skills and how you ensure everyone is on the same page during projects.
✨Be Eager to Learn
Deepstreamtech values candidates who are keen to learn, especially about financial analytics and indices. Prepare to express your enthusiasm for expanding your knowledge in these areas and how it can benefit the team.
