A well-known insurance company is on the lookout for a SAP Data Engineer to join their innovative team!
This company drives innovation and excellence in data management and digital transformation. Their team is dedicated to harnessing the power of SAP technologies to deliver cutting-edge data solutions that support our dynamic business needs and empower our clients.
This role will focus on designing, developing, and maintaining data pipelines, leveraging SAPs data platforms to support analytics, reporting, and decision-making processes. The ideal candidate will have a strong background in SAP data tools and technologies, as well as a deep understanding of data architecture and engineering best practices.
Key Responsibilities: - Data Pipeline Development: Design, develop, and manage scalable data pipelines using SAP tools (e.g., SAP BW/4HANA, SAP Data Services, SAP HANA) to facilitate the movement, transformation, and integration of data across systems.
- Data Integration: Collaborate with cross-functional teams to integrate SAP data with other data platforms (e.g., Azure, AWS, Google Cloud), ensuring smooth data flow and availability for analytics and reporting.
- Data Architecture: Work closely with data architects to design robust, scalable data solutions aligned with best practices and business requirements.
- Data Modelling: Build and optimize complex data models in SAP environments to enable efficient data storage, access, and analysis, supporting various business use cases.
- Data Quality and Governance: Implement data quality checks, validation processes, and governance practices to ensure data accuracy, integrity, and compliance.
- Performance Optimization: Monitor and tune the performance of data extraction, transformation, and loading (ETL) processes to meet system performance and data processing requirements.
- Collaboration and Documentation: Collaborate with stakeholders across teams to gather requirements, troubleshoot issues, and document solutions, providing clear and comprehensive documentation for all data engineering activities.
- Innovation and Best Practices: Stay updated with the latest SAP data technologies, industry trends, and best practices, continuously enhancing our data engineering processes and tools.
Requirements: - Educational Background: Bachelors Degree in Computer Science, Information Technology, Data Engineering, or a related field (Masters Degree preferred).
- Experience: Minimum of 3-5 years in a data engineering role, with a focus on SAP data tools and platforms.
- Technical Skills:
- Proficiency in SAP data platforms, including SAP HANA, SAP BW/4HANA, SAP Data Services, and SAP Data Intelligence.
- Strong SQL and ETL development skills, with experience in data extraction, transformation, and integration.
- Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and experience integrating SAP data into cloud environments.
- Experience with data modelling, data warehousing concepts, and building optimized data structures for analytics.
- Familiarity with data governance, data quality standards, and data security best practices.
- Programming skills in Python, Java, or similar languages are a plus.
- Soft Skills:
- Excellent problem-solving abilities and analytical thinking.
- Strong communication and collaboration skills, with experience working in cross-functional teams.
- Ability to prioritize and manage multiple projects in a fast-paced environment.
Preferred Qualifications: - SAP certifications (e.g., SAP Certified Application Associate SAP BW/4HANA, SAP HANA).
- Experience with machine learning and advanced analytics on SAP platforms.
- Familiarity with data visualization tools (e.g., Power BI, Tableau) and BI reporting.
This role is ideal for someone with a strategic mind.
For more information contact:
Robyn Peskin
Specialist Recruiter : Actuarial & Analytics
