Data Engineer – Forecasting and Modelling
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København K
Join a global leader as we embark on an industry-defining digital transformation that will revolutionize trade. You’ll play a vital part in our success, helping shape Data Engineer practices within Maersk Technology, and building the experience to advance your career.
In this Data Engineer role, you will be working within the Offer-to-Agreement business platform as part of the forecasting and modelling data science team, developing software and systems for real-time dynamic pricing and related revenue management needs.
If you are passionate about working in an entrepreneurial environment supporting an ambitious team on a great transformation journey – then this role is the perfect next step in your career!
This position offers a unique opportunity to develop and apply your cutting-edge knowledge of software and data engineering to create results and insights that are transforming the transport and logistics industry.
As a Data Engineer with Maersk, you will be part of the community of data & engineering practitioners across the company, where we develop the foundations of our future business.
• We operate in a fast-paced environment utilizing modern technologies.
• We embrace innovation methods where we have a close dialogue with end users, make early use of mock-ups & POCs and are committed to incremental development.
• We value customer outcomes and are passionate about using technology to solve problems.
• We are a diverse team with colleagues from different backgrounds and cultures.
• We offer the freedom, and responsibility, to shape the setup and the processes we use in our community.
• We support continuous learning, including through conferences, workshops and meetups.
This is an extremely exciting time to join a growing and dynamic team that solves some of the toughest problems in the industry and builds the future of trade & logistics. Maersk’s Technology organisation offers a unique opportunity to impact global trade via the largest container shipping company in the world. In our Copenhagen office, we are a growing team of more than 30 nationalities. We focus on our people and the right candidate will have broad possibilities to further develop competencies in an environment characterised by change and continuous progress.
You will be part of our strong data science team that also implements its work in software, shaping product and business decisions to help drive digital transformation at the largest container shipping company in the world. Your responsibilities include:
• Help design, architect and implement new and existing data pipelines as a core foundation for both our data science R&D as well as real-time systems deployed to production.
• Deeply understand our customer and business problems and apply your knowledge of large-scale data technologies to deliver the outcomes our customers need. We care about team members who are not only technical specialists but are excited about understanding the logistics domain---no prior experience in logistics required, so long as you are committed to learning!
• Work with our internal platform engineering teams to develop the functionality of our future data systems.
• Independently direct your time and resources together with other data/software engineers and the data scientists in the team. You will need to participate in transforming the way we work. The cultural transformation of our business and industry is the guarantee of long-term growth and success.
• You possess a bachelor’s degree, ideally in computer science or engineering, or closely related field. The ideal person will possess an advanced degree with a focus on distributed systems, cloud technologies or ML/AI.
• More than 4 years industry data engineering or software development experience, in either a software or analytics-intensive industrial company, as part of a team developing software. This is a hands-on development role.
• Understanding and experience with the engineering of batch and real-time data science solutions, especially the underlying large-scale data systems they rely on.
• Track record of delivery using languages like Java, Scala, Python, PySpark, and SparkSQL. You have experience contributing hands-on to products built within the Spark ecosystem.
• Working knowledge of technologies like: Apache Hadoop, Spark & structured streaming, pub/sub systems (e.g. Kafka, Kinesis and EventHubs), Docker, Jenkins, Kubernetes and cloud technologies, e.g. Azure, GCP or AWS.
More generally you have experience/familiarity with many of the following that we use/practice:
• CI/CD, DevOps, microservices, monitoring, git, source control, effective documentation
• Python, SQL, Spark/Databricks, SQLAlchemy, DataDog, PowerBI
• Pub/sub systems, ETL, data modelling, data marts, data lakes, data quality, BI/dimensional modelling
In this Data Engineer role, you will be working within the Offer-to-Agreement business platform as part of the forecasting and modelling data science team, developing software and systems for real-time dynamic pricing and related revenue management needs.
If you are passionate about working in an entrepreneurial environment supporting an ambitious team on a great transformation journey – then this role is the perfect next step in your career!
We offer
This position offers a unique opportunity to develop and apply your cutting-edge knowledge of software and data engineering to create results and insights that are transforming the transport and logistics industry.
As a Data Engineer with Maersk, you will be part of the community of data & engineering practitioners across the company, where we develop the foundations of our future business.
• We operate in a fast-paced environment utilizing modern technologies.
• We embrace innovation methods where we have a close dialogue with end users, make early use of mock-ups & POCs and are committed to incremental development.
• We value customer outcomes and are passionate about using technology to solve problems.
• We are a diverse team with colleagues from different backgrounds and cultures.
• We offer the freedom, and responsibility, to shape the setup and the processes we use in our community.
• We support continuous learning, including through conferences, workshops and meetups.
This is an extremely exciting time to join a growing and dynamic team that solves some of the toughest problems in the industry and builds the future of trade & logistics. Maersk’s Technology organisation offers a unique opportunity to impact global trade via the largest container shipping company in the world. In our Copenhagen office, we are a growing team of more than 30 nationalities. We focus on our people and the right candidate will have broad possibilities to further develop competencies in an environment characterised by change and continuous progress.
Key responsibilities
You will be part of our strong data science team that also implements its work in software, shaping product and business decisions to help drive digital transformation at the largest container shipping company in the world. Your responsibilities include:
• Help design, architect and implement new and existing data pipelines as a core foundation for both our data science R&D as well as real-time systems deployed to production.
• Deeply understand our customer and business problems and apply your knowledge of large-scale data technologies to deliver the outcomes our customers need. We care about team members who are not only technical specialists but are excited about understanding the logistics domain---no prior experience in logistics required, so long as you are committed to learning!
• Work with our internal platform engineering teams to develop the functionality of our future data systems.
• Independently direct your time and resources together with other data/software engineers and the data scientists in the team. You will need to participate in transforming the way we work. The cultural transformation of our business and industry is the guarantee of long-term growth and success.
We are looking for
• You possess a bachelor’s degree, ideally in computer science or engineering, or closely related field. The ideal person will possess an advanced degree with a focus on distributed systems, cloud technologies or ML/AI.
• More than 4 years industry data engineering or software development experience, in either a software or analytics-intensive industrial company, as part of a team developing software. This is a hands-on development role.
• Understanding and experience with the engineering of batch and real-time data science solutions, especially the underlying large-scale data systems they rely on.
• Track record of delivery using languages like Java, Scala, Python, PySpark, and SparkSQL. You have experience contributing hands-on to products built within the Spark ecosystem.
• Working knowledge of technologies like: Apache Hadoop, Spark & structured streaming, pub/sub systems (e.g. Kafka, Kinesis and EventHubs), Docker, Jenkins, Kubernetes and cloud technologies, e.g. Azure, GCP or AWS.
More generally you have experience/familiarity with many of the following that we use/practice:
• CI/CD, DevOps, microservices, monitoring, git, source control, effective documentation
• Python, SQL, Spark/Databricks, SQLAlchemy, DataDog, PowerBI
• Pub/sub systems, ETL, data modelling, data marts, data lakes, data quality, BI/dimensional modelling
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 19.1.2021, 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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| Dato | Alle jobs som data managere |
|---|---|
| 27. december 2024 | 0 |
| 26. december 2024 | 0 |
| 25. december 2024 | 0 |
| 24. december 2024 | 0 |
| 23. december 2024 | 0 |
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| 19. december 2024 | 0 |
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| 7. december 2024 | 0 |
| 6. december 2024 | 0 |
| 5. december 2024 | 0 |
| 4. december 2024 | 0 |
| 3. december 2024 | 0 |
| 2. december 2024 | 0 |
| 1. december 2024 | 0 |
| 30. november 2024 | 0 |
| 29. november 2024 | 0 |
| 28. november 2024 | 0 |
| 27. november 2024 | 0 |
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