Job Description

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.

SAP BusinessObjects (Web Intelligence & Universe Design)

About Us

Maersk is a $30bn organization with 100,000 people that move 20% of the world's 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 Group's 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 individual's 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

Coordinate on architectural decisions and design of enterprise-level SAP BusinessObjects semantic layer that support both on-premises and cloud-based reporting solutions Develop best practices and standards for universe development across the organization Implement complex calculations, custom objects, and advanced joins in universes Optimize universe performance through proper indexing, aggregate awareness, and query optimization Mentor junior developers and conduct code reviews Collaborate with data architects to ensure universe designs align with enterprise data strategy Troubleshoot and resolve complex universe-related issues Gathers the functional requirements for application development/enhancement Coordinates and prioritizes solution delivery with key internal and external stakeholders Contributes to change management, release and testing, performance monitoring, and requirements management SAP Business Objects (SAP BI) in order to provide users globally the best possible service Identify, design, and roll-out internal process improvements: automating manual processes, optimizing data delivery, etc. Work closely with internal customers in an agile manner to understand, decompose and scope technical solutions based on best practice designs that meet and exceed expectations Maintaining and optimizing clustered SAP BO infrastructure (WebLogic, Tomcat, Windows/Linux OS). Managing connectivity to relational DBs, Dremio, Synapse, and Azure private endpoints. Supporting Web Intelligence report development and troubleshooting. Preparing for BI 2025 upgrade and AI model integration.

Required Qualifications

Bachelor's degree in Computer Science, Information Technology, or related field 5-8 years of experience in SAP BI universe development Advanced knowledge of SAP BusinessObjects Enterprise platform Expert-level proficiency in SQL and database optimization Extensive experience with both UDT and IDT Strong understanding of data warehousing concepts and dimensional modeling Proven experience in leading technical projects Basic understanding of SAP BusinessObjects administration Good communication skills. Understanding of Software life cycle. Exceptional data analysis skills to prepare data for further use or consumption. Experience in SAP BO infrastructure administration (servers, clustering). Knowledge of JDBC/ODBC connectivity and Oracle client configuration. Experience with GIT. Familiarity with Azure networking and private endpoints. Ability to work with cross-functional teams including data engineers, architects, and AI specialists.

Preferred Skills

Bachelor's / Master's degree in engineering or equivalent SAP BI/BusinessObjects certifications Experience with SAP HANA optimization Knowledge of modern data architecture patterns Experience with cloud data platforms and their integration with SAP BI Understanding of data governance and security frameworks Experience with agile development methodologies Experience in the field of enabling connectivity or supporting the integration of applications and processes on machine to machine level as well as end users, e.g. API Management, Robotic Process Automation, Job/Batch Scheduling (using Jenkins), Electronic Data Exchange System, etc. Experience in SAP BusinessObjects Administration Experience integrating AI-driven analytics or predictive models into BI workflows. Understanding of reporting and analytics requirement in the market and ability to compare products for their use cases Basic Python programming for automation and AI integration. Understanding of infrastructure components and its interaction with SAP BOBJ software. Understanding and knowledge of networking layer not just limited to SAP BOBJ software. Experience with BI platform upgrades (preferably SAP BI 4.x to BI 2025). Knowledge of hybrid architecture (on-prem + cloud integration). Experience optimizing SAP BO for large-scale deployments and high-volume data sources. Knowledge of data security, governance, and compliance in BI environments. Knowledge of SAML, certificate-based authentication, and Azure AD integration for secure access.

Technical Competencies

SAP BusinessObjects Enterprise platform Universe Design Tool (UDT) Information Design Tool (IDT) SQL and database management Data modeling Performance optimization Security implementation Version control systems Database and Data Warehousing concepts Basic knowledge of cloud platforms and its features Ability to leverage AI/ML models within BI workflows. Understanding of cloud integration patterns for BI. Python programming, from AI perspective. Basic networking knowledge
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.



We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com .


CORE SKILLS Data 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 system. Proficiency Level: Proficient Data Analysis: The process of inspecting, cleansing, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making Proficiency Level: Proficient Data Processing Frameworks: Tools and libraries used to process large data sets efficiently, such as Apache Hadoop and Apache Spark. Proficiency Level: Foundational Programming: Writing code to manipulate, analyze, and visualize data, often using languages like Python, R, and SQL. Proficiency Level: Proficient Data Modelling: The process of creating a data model for the data to be stored in a database, representing the data structures and their relationships. Proficiency Level: Proficient Data Quality Management: Ensuring that data is accurate, complete, reliable, and relevant for its intended use. Proficiency Level: Proficient SPECIALIZED SKILLS Data Management: The development and execution of architectures, policies, practices, and procedures to manage the data lifecycle needs of an enterprise. Big Data Technologies: Tools and techniques used to process and analyze large and complex data sets that traditional data-processing software cannot handle Database Design and Management: The process of designing, implementing, and maintaining a database system to ensure data is stored efficiently and securely. Data Visualization: The graphical representation of data to help people understand complex data sets and derive insights. Data Security: Protecting data from unauthorized access, use, disclosure, disruption, modification, or destruction. Data Storage solutions: Systems and technologies used to store data, such as databases, data warehouses, and cloud storage. Data 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 standards Technical Documentation: Creating and maintaining documentation that explains the functionality, use, and maintenance of software or systems. Data Architecture: The design and structure of data systems, ensuring that data is stored, managed, and utilized efficiently CI/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 code Definition 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 levels. Proficient: This is the level at which you are considered effective in the skill. You demonstrate more than just functional competence--you 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 successfully. Advanced: 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.