At a Glance
- Tasks: Lead the market data team and ensure reliable data processes across commodities.
- Company: Join Axpo Holding AG, a leader in energy solutions.
- Benefits: Competitive salary, career growth, and a dynamic work environment.
- Other info: Exciting opportunity to shape data capabilities in a fast-paced industry.
- Why this job: Make a significant impact on data quality and accessibility in the energy sector.
- Qualifications: Proven leadership in market data management and strong teamwork skills.
The predicted salary is between 80000 - 100000 £ per year.
Axpo Holding AG is seeking a Market Data Engineering Team Lead in London. The role involves defining and managing the market data capability across commodities, ensuring that data ingestion, normalisation, and distribution is reliable and consistent to support downstream stakeholders.
The ideal candidate will have leadership experience in managing market data processes and will work closely with various teams to ensure data quality and accessibility.
Market Data Engineering Lead - London, Risk & Downstream employer: Axpo Holding AG
Axpo Holding AG is an excellent employer, offering a dynamic work culture in the heart of London that fosters collaboration and innovation. Employees benefit from comprehensive growth opportunities, competitive remuneration, and a commitment to work-life balance, making it an ideal place for professionals looking to make a meaningful impact in the market data domain.
StudySmarter Expert Advice🤫
We think this is how you could land Market Data Engineering Lead - London, Risk & Downstream
✨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 Axpo Holding AG.
✨Apply Directly through Our Website
When you find a suitable opening like Market Data Engineering Lead - London, Risk & Downstream at Axpo Holding AG, 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 Market Data Engineering Lead - London, Risk & Downstream
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 Axpo Holding 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 Axpo Holding 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 Axpo Holding 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!
✨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 Axpo Holding AG!
✨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.