At a Glance
- Tasks: Design and maintain scalable data pipelines for trading and commercial analytics.
- Company: Leading energy organisation with a commitment to innovation and professional growth.
- Benefits: Hybrid working, competitive salary, and opportunities for professional development.
- Other info: Join a dynamic team focused on AI integration and data excellence.
- Why this job: Make a significant impact in a global company while working with cutting-edge data technologies.
- Qualifications: 5 years of Data Engineering experience and proficiency in SQL, Python, and cloud platforms.
The predicted salary is between 60000 - 80000 £ per year.
We are currently representing a leading energy organisation seeking a highly skilled Data Engineer to support their Trading and Commercial teams. This is a fantastic opportunity for a professional with strong technical expertise and a passion for building reliable data systems to make a significant impact within a global company.
Role Overview:
- Design, build, and maintain scalable data pipelines and architectures to support trading and commercial analytics.
- Collaborate with business stakeholders to understand their data needs and deliver effective solutions.
- Work closely with data and digital teams to develop data models, governance frameworks, and ingestion processes.
- Improve data quality, ensure data accessibility, and promote best practices across data workflows.
- Support the integration of AI and automation tools to enhance data insights and operational efficiency.
Required Experience & Skills:
- Bachelor’s degree in Engineering, Computer Science, Mathematics, or related field.
- Minimum of 5 years’ experience as a Data Engineer, preferably within energy or trading sectors.
- Proficiency in SQL, Python, cloud platforms, and data pipeline tools such as Databricks or Apache Spark.
- Strong communication skills to explain technical concepts to non-technical audiences.
- Experience with data modelling, architecture, and modern data ecosystems.
- Keen interest in automation, AI, and innovative data technologies.
Location: Hybrid working based in the London office 4 days per week.
This is an exciting chance to join a global leader committed to high performance and professional development. If you’re eager to apply your data engineering skills in a strategic and impactful role, we invite you to apply now.
Data Engineer in Slough employer: Pangea
Join a leading energy organisation that values innovation and professional growth, offering a dynamic work culture where your contributions as a Data Engineer will directly influence trading and commercial success. With a hybrid working model based in London, you will benefit from a collaborative environment that encourages the integration of cutting-edge technologies and provides ample opportunities for career advancement within a global framework.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Slough
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Pangea!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Pangea.
✨Leverage Professional Networks
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 Pangea.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Pangea, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer in Slough
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Pangea, 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 Pangea. 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 Pangea
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Pangea!
✨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.
