At a Glance
- Tasks: Design and build scalable data analytics platforms using AI and cloud technologies.
- Company: Join RWE Supply & Trading, a leader in energy and data innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on governance and observability in data products.
- Why this job: Shape the future of data and AI while collaborating with diverse teams.
- Qualifications: Proficiency in Python, SQL, Databricks, and cloud technologies required.
The predicted salary is between 63000 - 77000 £ per year.
RWE Supply & Trading Gmb H in Swindon, UK, is seeking a Senior Data Engineer to shape the future of data, AI and analytics.
You will own the design of the data analytics platform, build scalable pipelines and collaborate with stakeholders across trading and IT teams.
The role requires Python and SQL, Databricks, cloud experience, and a proactive, communicative approach to delivering robust data products with strong governance and observability.
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Senior Data Platform Engineer - AI & Cloud in Swindon employer: RWE AG
RWE AG is an excellent employer, offering a dynamic work environment in Dolgarrog, Wales, where innovation meets sustainability. Employees benefit from a competitive salary package, comprehensive bonuses, and a strong focus on professional development, ensuring that team members grow alongside the company. With a commitment to safety and compliance, RWE fosters a collaborative culture that values each individual's contribution to the success of our power stations.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer - AI & Cloud in Swindon
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We think you need these skills to ace Senior Data Platform Engineer - AI & Cloud in Swindon
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
