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Data Engineer in Intraday power team
2 months ago
In MFT Energy, we trade energy to make markets efficient and to facilitate the green transition. We are looking for a Data Engineer to join our ambitious Intraday Power Team with experienced colleagues, who strive to be the best every day.
The job as Data EngineerYou will be a part of our great Intraday Power Team working with highly ambitious and qualified quantitative analysts, machine-learning experts, tool and system developers, and traders, which means you’ll be as close to the action as you can be.
We prioritize getting an MVP in production to get immediate feedback, meaning that a good solution is a trade-off between speed of implementation and extendability to continuously improve our solutions.
As a Data Engineer, you will develop and maintain a sophisticated data architecture used by your colleagues in the front-office team. You will be responsible for creating data pipelines, managing our different data sources, and ensuring high-quality data flow across various projects. All this work will be done in close cooperation with both a central data team and technically competent quants in this team. This role gives you the chance to dive deep into the exciting power domain, and your work will be critical in unifying our data agenda and supporting both in-house and third-party data needs.
It will be a requirement to be proactive and be able to work autonomously as your collaborators will know "the what" but expect you to figure out "the how". In doing so, you will have the mandate to shape the solution using our existing setup or possibly introducing new tech. Expect that the results you deliver will be used within the day and that your impact will be recognized.
Your key responsibilities- Design and implement data pipelines for efficient data extraction, transformation, and loading (ETL).
- Manage the central databases, ensuring data is validated, cleaned, and monitored.
- Collaborate with quantitative analysts, platform engineers, and traders to meet their data needs.
- Help enforce best practices for data management, including schema design and data governance.
- Optimize data storage solutions to balance performance, cost, and scalability – this will be done with data engineers from our central team as well.
- Proficiency in Python.
- Experience with database management.
- Strong understanding of data modeling and ETL processes.
- Familiarity with orchestration and data pipeline tools such as Prefect, Apache Airflow, or similar.
- Experience with Azure services such as Azure Functions and Azure Data Explorer or similar cloud services.
- Strong analytical skills and an eye for detail.
- Experience with SQL and KQL.
- Familiarity with containerization tools (e.g., Docker).
- Experience with or interest in big data technologies (Spark, Databricks).
- Relevant experience in data engineering or a related field.
- MSc or Ph.D. in Computer Science, Engineering, Business Intelligence, Economy, or a related discipline.
You will be part of a young, global, and vibrant working environment in the heart of Aarhus. MFT Energy is a transparent and flat organization with entrepreneurship at heart. We are 163 employees working out of our headquarters in Scandinavian Center in Aarhus C and from our international offices in Turkey, Australia, Austin, Singapore, and several remote colleagues working from all over the world. Our mission is to empower entrepreneurs to become the best and our work culture is based on collaboration, transparency, and a proactive mindset.
We offer:
- A competitive and entrepreneurial work environment.
- Professional and committed colleagues with great ambitions.
- Great employee benefits and a people-centered leadership approach.
- A celebrative work environment, a modern workplace, and an entrepreneurial, professional culture.
If you think there is a match between our values and your aspirations, we will be looking forward to receiving your application with a short cover letter and CV. For questions, please contact
Start date: As soon as possible.
We will be screening and interviewing candidates on an ongoing basis.
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