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- Tasks: Design and deliver cloud-native data platforms using Databricks and Snowflake.
- Company: Global technology consultancy with a focus on innovation.
- Benefits: Flexible hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Tackle complex data challenges and make a real impact in the tech world.
- Qualifications: Strong skills in Python, SQL, Spark, and experience with large-scale data pipelines.
- Other info: Collaborative environment with exciting projects and career advancement potential.
The predicted salary is between 43200 - 72000 £ per year.
A global technology consultancy is seeking a Senior Data Platform Engineer to design and deliver cloud-native data platforms using tools like Databricks and Snowflake. This hands-on role involves solving complex data challenges in a hybrid working environment.
You’ll collaborate with clients to ensure scalable and high-performance data solutions, leveraging strong Python, SQL, and Spark skills. Candidates with experience in large-scale data pipelines and cloud data services will thrive in this position.
Senior Data Platform Engineer — Build Real-Time Data Platforms employer: Simple Machines
Contact Detail:
Simple Machines Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Platform Engineer — Build Real-Time Data Platforms
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with data platforms. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Databricks, Snowflake, and any other relevant tools. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python, SQL, and Spark skills. Practice solving real-world data challenges, as this hands-on experience will help you shine during the interview process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Data Platform Engineer — Build Real-Time Data Platforms
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud-native data platforms, especially tools like Databricks and Snowflake. We want to see how your skills in Python, SQL, and Spark can solve real-world data challenges.
Showcase Your Projects: Include specific examples of large-scale data pipelines you've worked on. We love seeing hands-on experience, so don’t hold back on detailing your contributions and the impact they had!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about building scalable data solutions and how you can contribute to our team. Keep it engaging and relevant to the role.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Simple Machines
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, like Databricks and Snowflake. Brush up on your Python, SQL, and Spark skills, and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex data challenges you've tackled. Think about the strategies you employed and the outcomes. This will demonstrate your hands-on experience and ability to deliver high-performance solutions.
✨Understand the Hybrid Work Environment
Since this role involves a hybrid working setup, be ready to discuss how you manage collaboration and communication in such environments. Highlight any previous experiences that showcase your adaptability and teamwork skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
