At a Glance
- Tasks: Shape the future of data and AI with innovative engineering solutions.
- Company: Join RWE Supply & Trading, a leader in energy and IT.
- Benefits: Competitive salary, annual bonus, and extensive on-the-job learning.
- Other info: Collaborative culture with opportunities for growth and mentorship.
- Why this job: Make a real impact in a dynamic environment with cutting-edge technologies.
- Qualifications: Experience in data engineering, Python, SQL, and cloud platforms.
The predicted salary is between 65250 - 79750 £ per year.
- RWE Supply & Trading Gmb H
- To start as soon as possible, full time / part time, permanent
Functional area
IT / Digital
Remuneration
- tariff/non-tariff
- Department Insights
It’s an exciting time to join us!
The RWEST Data Platform Team is looking for a Senior Data Engineer to help shape the future of data, AI and analytics across our organisation, using modern cloud, Databricks and AI technologies to deliver scalable, trusted and business-critical data solutions.
Our Lead in Data (Li D) platform is the primary data analytics platform within the group and continues to transform how data is discovered, shared, onboarded and governed.
By combining cloud-native data engineering with Databricks, advanced analytics and emerging AI capabilities, we are enabling faster access to high-quality market data and creating a stronger foundation for intelligent decision-making across trading, analysis and support functions.
We are looking for a curious, motivated technology enthusiast to join us as a Senior Data Engineer.
You will work closely with business stakeholders, Data engineers, Dev Ops engineers and internal squads to define the future direction of our platform, explore innovative AI-enabled use cases, and help build robust data products that deliver measurable value.
If you are passionate about data formats, Databricks, engineering and the practical application of AI technologies, then apply now or contact me for an informal chat!
- Your future responsibilities
- Take ownership of the technical design and evolution of our data analytics platform, integrating new use cases and data sources while ensuring strong performance, scalability, robustness, availability, maintainability and appropriate data latency.
- Explore and apply AI-enabled engineering tools and technologies, including code assistants, intelligent automation, data quality accelerators and emerging AI use cases that improve developer productivity, platform operations and user outcomes.
- Design and implement high-quality data pipelines and data products using strong SQL skills, modern data engineering patterns, cloud-native services, Spark and Databricks capabilities including notebooks, jobs, workflows and Delta Lake.
- Work confidently with common data formats and storage patterns such as Parquet, Delta, CSV, JSON and structured/semi-structured datasets, ensuring data is modelled, curated, documented and made available in a reliable and reusable way.
- Act as the interface between key business stakeholders, Product Owners, Data Engineers and Dev Ops Engineers, translating business requirements into clear technical backlog items, architecture decisions and delivery roadmaps.
- Shape and influence the technical delivery backlog with innovation ideas, platform enhancements, automation opportunities and technical requirements gathered from users, engineers, vendors and operational insights.
- Contribute as a senior technical problem solver in a multidisciplinary team, creating pragmatic solutions for complex data platform requirements with a strong focus on engineering quality, observability, security and operational excellence.
- Keep up to date with trends in data analytics, Lakehouse architecture, Databricks, AI/ML tooling, data governance and modern engineering practices, identifying where new technologies can solve real business and platform problems.
- Engage with platform vendors prioritising fixes, understanding product roadmaps, assessing technical and commercial impact, and managing usage, billing and adoption considerations.
- Your powerful skills
- Extensive hands on experience developing large-scale data engineering solutions using Python, SQL, AWS Lambda and Terraform.
- Proven expertise in working with AI agents, LLM-powered applications, automation frameworks, and cloud-native data platforms.
- Able to translate business requirements into clear technical designs and improve existing solutions.
- Strong understanding of cloud architecture, production systems and resilient platform design.
- Collaborative mindset with a strong focus on delivering value to users.
- Good grasp of operational excellence, including availability, monitoring, security and robustness.
- Experience with Dev Ops practices, automation and reliable delivery processes.
- Confident communicator with customers, stakeholders and IT colleagues at all levels.
- Builds strong working relationships and collaborates effectively with peers.
- Clear, structured and proactive communication style.
- Able to manage differing views constructively and professionally.
- Inspires trust and confidence through ownership, clarity and reliability.
- Motivated self-starter who is independent, reliable and team-oriented.
- Fluent English communication skills, both verbal and written.
- What we value most is passion
, willingness to learn and a determined and resilient work ethic. So, if you can’t display all of the skills above then we would still love to hear from you!
- Advantageous, but not a must
- Experience of coaching and / or mentoring colleagues
- Collaboration and sharing of expertise to others across the organisation
Benefits you can rely on
- Working in one of the most interesting business contexts; a mixture of energy supply, trading and of course IT!
- Working in an large agile team on things which matter
- Evolve your skills together with us – we offer comprehensive on the job learning as well as support from internal experts to develop your existing skills even further
- Competitive salary plus annual discretionary bonus
- Open and diverse company culture
Senior Data Engineer d/f/m in London 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 Engineer d/f/m in London
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like RWE AG.
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We think you need these skills to ace Senior Data Engineer d/f/m in London
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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Craft a Tailored Cover Letter:For a full-time role at RWE AG, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at RWE AG. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at RWE AG
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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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.
