Senior Data Engineer

About this opportunity:

Ericsson’s Automation Chapter is seeking a highly motivated and self-driven Data Engineer and Senior Data Engineer with strong expertise in SAP HANA and SAP BODS. The ideal candidates will be focused on SAP-centric development and integration, ensuring that enterprise data flows are robust, scalable, and optimized for analytics consumption. You will collaborate with a high-performing team that builds and supports end-to-end data solutions aligned with our SAP ecosystem. You are adaptable and a flexible problem-solver with deep hands-on experience in HANA modeling and ETL workflows, capable of switching contexts across a range of projects with varying scale and complexity.

What you bring:

• Design, develop, and optimize SAP HANA objects such as Calculation Views, SQL Procedures, and Custom Functions.
• Develop robust and reusable ETL pipelines using SAP BODS for both SAP and third-party system integration.
• Enable seamless data flow between SAP ECC and external platforms, ensuring accuracy and performance.
• Collaborate with business analysts, architects, and integration specialists to translate requirements into technical deliverables.
• Tune and troubleshoot HANA and BODS jobs for performance, scalability, and maintainability.
• Ensure compliance with enterprise data governance, lineage, and documentation standards.
• Support ongoing enhancements, production issues, and business-critical data deliveries.

Experience

• 8+ years of experience in SAP data engineering roles.
• Strong hands-on experience in SAP HANA (native development, modeling, SQL scripting).
• Proficient in SAP BODS, including job development, data flows, and integration techniques.
• Experience working with SAP ECC data structures, IDOCs, and remote function calls.
• Knowledge of data warehouse concepts, data modeling, and performance optimization techniques.
• Strong debugging and analytical skills, with the ability to independently drive technical solutions.
• Familiarity with version control tools and SDLC processes.
• Excellent communication skills and ability to work collaboratively in cross-functional teams.

Education

• Bachelor’s degree in computer science, Information Systems, Electronics & Communication, or a related field.