Junior Data Engineer

Job Description

We are a Group Service Function within the A.P. Moller - Maersk Group supporting our business units across the Group globally. In Maersk Procurement, our vision is: Every dollar spent is spent professionally . Procurement Analytics is key enabler for reaching this vision and as part of the team this role is instrumental in designing, build and maintaining the global business intelligence platform for procurement. We offer you the opportunity to join a team that works in a high paced environment with exposure to the global organization and strategic projects. Show More We offerKnowledge beyond borders: We strive to be best in class by utilizing our access to knowledge accumulated in 130 Maersk countries. As part of your job you will be building relationships with colleagues across the globe and gain valuable insights on the global operations of the Group.On-the-job learning: In Maersk Procurement we believe in an environment that focuses on individual talent, skills and interests. The role would offer you job responsibilities and process ownership right from the beginning as the Group promotes a steep learning curve across different functions, practices and domains. Our talent management processes are one of the best in the industry which duly complement the on the job opportunities provided here.Springboard for a global career: We at Procurement analytics team in Digital procurement solve business problems by enabling digital solutions built using the latest smart technologies. Being part of this team and particularly in this role you will be working closely in linking business priorities with digital solutions using algorithms, machine learning and AI. You will be part of a team that thrives on living the Maersk values and building strong teams of people passionate for their job and dedicated to always change for the better.Show More Key responsibilitiesGather and understand business requirements to translate to technical requirements Perform business analysis, data exploration and requirements mapping for new data sources to integrate in the analytical and process mining tools. Design the systems landscape and conceptual, semantic, and physical layers of the analytic tool solutions Drive data integration projects due to Mergers, Acquisitions and Divestitures (MA&D) Take implementation decisions on feasibility of solutions and impact/risks of changes Setup, implement and enforce governance models/structures for deployed analytical applications in ProductionShow More We are looking forNeed to have Familiarity writing python scripts using basic libraries like numpy, pandas, sklearn etc. Can perform loading, cleaning and preprocessing of csv, json and other classic data formats Experience working with sql databases, both inside a sql gui and from python Basic understanding of the Azure ecosystem and a curiosity to continue to expand your knowledge Basic understanding of version control software such as GIT A mind for data science and a curiosity to continue your learning The tenacity to trace data sources, knowhow and solutions in a big international organization Basic understanding of software deployment using Docker, Kubernetes and Argo Basic understanding of software monitoring using Datadog Ability to manage different moving parts - business stakeholders, IT, Analytics Resources, Data Experts, SMEs, etc. for the successful execution of the projects. Be able to respond fast to new business requirements by delivering proof-of-concept solutionsNice to have Experience writing machine learning models in Keras, Tensorflow or PyTorch Experience delivering stable and fast backend software solutions Experience deploying software using tools such as Docker, Kubernetes and Argo Work experience with data warehousing and business intelligence tools Design system frameworks and reusable building blocks for building an Integrated Data Warehouse Knows how to write up and work with Technical Design Documents: Conceptual Data Models, Entity-Relationship Diagrams, Source-to-Target Mappings and Data Flow Diagrams, Systems Landscape, etc. Knowledge of relational and dimensional data modelling. Foundations on Automation and ETL design, and able to work with different data transformation tools, preferably Microsoft SSIS and SQL Server. Foundations on Reporting / Business Intelligence tools such as MicroStrategy, Microsoft SSAS Financial Reporting, Supply Chain Management and Master Data Management background Desired personal characteristics Structured and Disciplined approach to Solutioning and Problem Solving is a must Flexible in the tools to be used in approaching solutions Attention to detail is key Fluent in English both in speech and writing. Strong communication and presentation skills. Willing to travel (if required)Show More,

Keyskills :
sqljavadata warehousinginformaticapythonmaster data managementsupply chain managementbusiness intelligence toolsdata flowmaster datadata modelssupply chaindata science