Senior Data Engineer
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København K
Opportunity
Senior Data Engineer - Forecasting
Maersk is improving life for all by integrating the world. From the farm to your refrigerator, or the factory to your wardrobe, we are developing software solutions to support our customer needs from one end of the supply chain to the other. Technology is taking center stage in enabling our customers to trade globally and we are building our core products in-house.
Join us to help re-think what technology can do and support our global logistics business with high-quality software solutions that enable us to reduce our environmental impact and provide a better experience to our customers through improved automation and decision making.
Your new job
You will join the Forecasting team based in Copenhagen, where we leverage data and machine learning to build reliable predictions of future demand and customer behavior used for automated data-driven decision making. We offer a diverse and highly collaborative work environment with flexibility to suit your life.
You will be designing, building, maintaining, and operating our data foundation which is core to our analytics products and use them to create reliable and accurate machine learning systems in collaboration with other team members.
There are a lot of interesting challenges ahead and we need your help.
Your new team
We are a cross-functional team of data scientists, data engineers and software engineers working together to build reliable, performant and maintainable analytics software.
We are accountable and proud of our work. Our culture is informal and built on respectful collaboration, experimentation, and continuous improvement. We spend time together at team events and hackathons to form a stronger, more collaborative unit and to inspire and grow each other.
We use modern engineering practices, do pair-programming, and take on the full DevOps responsibility for what we build. We primarily use technologies such as python, pandas and Pyspark, rely heavily on open source and build software we deploy using Github Actions and Docker onto Kubernetes clusters operated in the Microsoft Azure cloud.
Key Responsibilities
- Care about data. Think of it as a product that has to continuously evolve in order to improve. Use this to produce high-quality data as a foundation for our forecasting products by building and improving data pipelines on top of data from source systems.
- Have a continuous focus on providing business value, while ensuring technical sustainability (including maintainability, reliability, performance, and availability).
- Work with data and analytics experts to expand the functionality and possible use cases for our historical datasets that meet functional / non-functional business requirements.
- Work with relevant stakeholders to find the right solutions to the right problems at the right time.
- Promote and drive adoption of cutting-edge data engineering practices within the team.
We are looking for
- You are collaborative by nature, care about others and are a general force for good.
- You are motivated by ensuring the datasets you work on model the domain accurately, provide maximum value for the consumers and enable more business value.
- You care about a great engineering culture and like to follow functional data engineering practices
- You have an agile mindset and a learning mentality.
- You have lots of experience with Python/Pandas and Pyspark (or similar technologies) and are comfortable dealing with complex systems.
- You can understand and express yourself in some SQL flavour, but it’s not your first choice.
Senior Data Engineer
Information og data
Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i København K.
Jobbet er oprettet på vores service den 21.12.2022, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Data Manager
- København K
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Statistik over udbudte data managere i København K over tid
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