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- Tasks: Design and deliver modern data platforms while building high-performance data pipelines.
- Company: Leading technology consultancy based in Greater London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a team of senior engineers and work on impactful projects in an agile setting.
- Qualifications: Strong skills in Python, SQL, and experience with Spark, Databricks, AWS or GCP.
The predicted salary is between 43200 - 72000 £ per year.
A technology consultancy in Greater London is seeking a Senior Data Platform Engineer to design and deliver modern data platforms and build high-performance data pipelines.
Candidates should have strong skills in Python and SQL, with significant experience using Spark, Databricks, and AWS or GCP.
This hybrid full-time role offers the chance to work on high-impact projects with senior engineers in an agile environment.
Senior Data Platform Engineer — Build Modern Data Platforms in London 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 Modern Data Platforms in London
✨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 involving Python, SQL, Spark, and cloud platforms like AWS or GCP. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding data architecture. Practice common interview questions related to data pipelines and modern data platforms to boost your confidence.
✨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 get noticed by our hiring team.
We think you need these skills to ace Senior Data Platform Engineer — Build Modern Data Platforms in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong skills in Python and SQL right from the get-go. We want to see how you've used these tools in real projects, especially with Spark, Databricks, and AWS or GCP.
Tailor Your Application: Don’t just send a generic application! We love it when candidates tailor their CVs and cover letters to reflect the job description. Mention specific experiences that align with designing and delivering modern data platforms.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experience without wading through unnecessary fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to work on high-impact projects!
How to prepare for a job interview at Simple Machines
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, Spark, Databricks, and AWS or GCP. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects. We recommend preparing specific examples that showcase your skills.
✨Showcase Your Problem-Solving Skills
During the interview, expect to tackle some technical challenges. Practice explaining your thought process clearly and logically. We suggest working through a few data pipeline scenarios beforehand so you can demonstrate your ability to design efficient solutions.
✨Understand Agile Methodologies
Since this role involves working in an agile environment, it’s crucial to understand agile principles. Be prepared to discuss how you’ve contributed to agile teams in the past. We advise thinking about specific instances where you adapted to changes quickly and effectively.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s projects, team dynamics, and future goals. This shows your genuine interest in the role and helps you assess if it’s the right fit for you. We suggest asking about their approach to building modern data platforms.