SAP BusinessObjects (Web Intelligence & Universe Design)
About Us
Maersk is a $30bn organization with 100000 people that move 20% of the worlds trade and it is the largest shipping and logistics company in the world. We are transforming our company into a global integrator of container logistics. We are offering you a unique opportunity to be part of that journey and to contribute by creating solutions for an industry leading organization. This is an opportunity to join Maersk Groups Technology team and help drive visible recognizable change as a Data Engineer for this globally respected industry leading brand. At A.P. Moller - Maersk we focus on the individuals development and the right candidate will have broad possibilities to further develop competencies in an environment characterized by change and continuous progress. As an organization with global presence joining Maersk is a wonderful and exciting opportunity for you to work with people of diverse talents & background. We offer a fast paced challenging and truly international atmosphere with activities and teams spread around the globe in Copenhagen London Charlotte and India. The environment is dynamic with focus on high performance results and respect for our employees. There will be the possibility of continuous professional and personal development and for expanding a professional and social network. As a company we are committed to growing our people. We will provide you with opportunities that broaden your knowledge and strengthen your professional & technical skills.
Position Overview
We are looking for a Data Engineer to lead the design and implementation of SAP BI universe solutions at Maersk. This role requires extensive experience in building complex data abstractions and mentoring junior developers.
Key Responsibilities
Required Qualifications
Preferred Skills
Technical Competencies
Maersk is committed to a diverse and inclusive workplace and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race colour gender sex age religion creed national origin ancestry citizenship marital status sexual orientation physical or mental disability medical condition pregnancy or parental leave veteran status gender identity genetic information or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.
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CORE SKILLSData Integration and ETL (Extract Transform Load) practices: Combining data from different sources into a single unified view and the process of extracting data from sources transforming it into a suitable format and loading it into a destination Level: ProficientData Analysis: The process of inspecting cleansing transforming and modeling data to discover useful information draw conclusions and support decision-makingProficiency Level: ProficientData Processing Frameworks: Tools and libraries used to process large data sets efficiently such as Apache Hadoop and Apache Level: FoundationalProgramming: Writing code to manipulate analyze and visualize data often using languages like Python R and Level: ProficientData Modelling: The process of creating a data model for the data to be stored in a database representing the data structures and their Level: ProficientData Quality Management: Ensuring that data is accurate complete reliable and relevant for its intended Level: ProficientSPECIALIZED SKILLSData Management: The development and execution of architectures policies practices and procedures to manage the data lifecycle needs of an Data Technologies: Tools and techniques used to process and analyze large and complex data sets that traditional data-processing software cannot handleDatabase Design and Management: The process of designing implementing and maintaining a database system to ensure data is stored efficiently and Visualization: The graphical representation of data to help people understand complex data sets and derive Security: Protecting data from unauthorized access use disclosure disruption modification or Storage solutions: Systems and technologies used to store data such as databases data warehouses and cloud Governance and Compliance: The management of data availability usability integrity and security in an organization based on internal data standards and policies. Ensuring that an organization adheres to external regulations and internal policies managing risk and maintaining ethical standardsTechnical Documentation: Creating and maintaining documentation that explains the functionality use and maintenance of software or Architecture: The design and structure of data systems ensuring that data is stored managed and utilized efficientlyCI/CD & Observability: The use of continuous integration and continuous delivery (CI/CD) pipelines to automate the process of software development including building testing and deploying codeDefinition of Proficiency Levels:Foundational: This is the entry level of the skill typically expected when starting a new role or working with the skill for the first time. You rely on strong manager support coaching and training as you build the capability to progress to higher proficiency : This is the level at which you are considered effective in the skill. You demonstrate more than just functional competenceyou begin to have a noticeable impact in your role by applying the skill consistently and meaningfully. You require only minimal support coaching or training to apply the skill : This is the level where you move beyond meeting expectations to actively leading influencing and delivering considerable impact across the wider business. You are seen as a role model demonstrate the skill independently and require little to no manager support.
Maersk Line is a Danish international container shipping company and the largest operating subsidiary of the Maersk Group, a Danish business conglomerate. It is the world's largest container shipping company by both fleet size and cargo capacity, serving 374 offices in 116 countries