At a Glance
- Tasks: Lead the design and development of scalable data pipelines using Python.
- Company: Ampstek, a forward-thinking company in energy trading.
- Benefits: Competitive salary, flexible working hours, and opportunities for mentorship.
- Other info: Join a dynamic team and grow your career in a global environment.
- Why this job: Make an impact in energy trading while working with cutting-edge technologies.
- Qualifications: 8+ years of Python experience and strong data engineering skills.
The predicted salary is between 60750 - 74250 £ per year.
Ampstek is seeking a senior data engineer with 8+ years of Python experience to lead the design and development of scalable data pipelines and enterprise Python applications.
You will work with Num Py, Pandas, Beautiful Soup, Selenium, SQL (Postgre SQL), Spark, and cloud platforms such as AWS S3 and Azure Databricks, in an Agile environment across multiple time zones.
You will also mentor team members, drive best practices in automation and data processing, and coordinate with stakeholders globally.
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Senior Python Data Engineer — Energy Trading Pipelines employer: Ampstek
Ampstek is an exceptional employer that fosters a collaborative and innovative work culture, where your expertise in D365 Finance & Operations will be valued and nurtured. With a strong focus on employee growth, we offer continuous learning opportunities and the chance to work on impactful global projects, all while enjoying the vibrant atmosphere of our dynamic location.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Data Engineer — Energy Trading Pipelines
✨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 Ampstek!
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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 Senior Python Data Engineer — Energy Trading Pipelines at Ampstek.
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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 Ampstek.
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We think you need these skills to ace Senior Python Data Engineer — Energy Trading Pipelines
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 Ampstek, 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 Ampstek. 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 Ampstek
✨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 Ampstek!
✨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.
