Drive Data-Driven HR Transformation | Senior Data Engineer Position at SAP
Senior Data Engineer at SAP: Join Our Data-Driven HCM Analytics Team
SAP is a global leader in enterprise software, and we are excited to announce an opportunity to join our world-class team as a Senior Data Engineer. At SAP, we are passionate about helping the world run better. Our company culture thrives on collaboration, diversity, and inclusivity, ensuring that every employee is given the tools to thrive and reach their full potential. Whether you’re contributing to the development of cutting-edge software or advancing the use of data to drive HR transformation, your work will have a meaningful impact on businesses globally.
As a Senior Data Engineer at SAP, you’ll be responsible for designing, building, optimizing, and maintaining large-scale ETL/ELT pipelines that drive high-quality data flows and processing for SAP SuccessFactors. You will collaborate closely with cross-functional teams, including data scientists and analysts, to seamlessly integrate data systems and support the growth of SAP’s advanced analytics capabilities. This is an exciting opportunity to work with cutting-edge technologies like Apache Spark, Python, Java, and more in a cloud-native environment.
About SAP SuccessFactors
SAP SuccessFactors is a leading cloud-based Human Capital Management (HCM) software suite that helps organizations optimize their HR processes. From talent management to employee experience, SuccessFactors delivers innovative solutions that address workforce challenges. Over 12,000 customers across industries in more than 200 countries trust SAP SuccessFactors for its flexibility, scalability, and adaptability.
The suite supports various HR functions, including recruitment, performance management, learning and development, compensation, and more. SAP SuccessFactors is designed to meet the needs of both large enterprises and mid-market businesses, providing a robust, user-friendly platform that enhances HR processes while ensuring compliance with international regulations. By continuously evolving the platform, SAP helps customers leverage HR data to drive smarter business decisions, create better employee experiences, and stay ahead in an ever-changing global marketplace.
About the HCM Analytics Team
The HCM Analytics Team within SAP SuccessFactors is responsible for delivering data-driven insights that help organizations optimize their HR processes. The team develops and enhances advanced analytics tools within SuccessFactors, empowering businesses to make more informed, strategic HR decisions. By providing actionable insights into talent management, employee performance, and organizational health, the HCM Analytics team plays a crucial role in driving HR transformation and improving operational efficiency.
The HCM Analytics team collaborates with various departments to create user-friendly and scalable analytics solutions that meet the unique needs of businesses worldwide. Their expertise in HR data analysis, predictive modeling, and reporting enables organizations to gain a deeper understanding of workforce dynamics and align people strategies with overall business objectives.
Senior Data Engineer Role Overview
As a Senior Data Engineer in the HCM Analytics team, you will be at the forefront of developing high-performance ETL pipelines that drive data integration across multiple systems. Your expertise in data engineering will be instrumental in enabling seamless data flows between SAP SuccessFactors, BDC platforms, and other key data sources. You’ll work closely with cross-functional teams to implement scalable and efficient data architectures that support real-time processing, optimize performance, and ensure data integrity.
Your role will also involve the development and optimization of microservices for managing complex data workflows. You will have the opportunity to apply your knowledge of DevOps, cloud technologies, and data integration to create solutions that support SAP’s ambitious goals in the HR tech space.
Key Responsibilities of the Senior Data Engineer
Design and Build Scalable ETL Pipelines: Architect and build large-scale ETL/ELT pipelines to process and integrate data at scale. You will focus on optimizing pipeline performance, scalability, and data integrity to ensure smooth data flows across SAP systems and other platforms.
Microservices Development and Maintenance: Design and implement microservices that handle data processing tasks efficiently. You will create reusable, scalable services to manage complex data workflows, with a focus on maintainability and robustness.
DevOps Practices and CI/CD: Implement DevOps practices using tools such as Jenkins, Git, Docker, and Kubernetes to automate the testing, building, and deployment of data pipelines and microservices. Ensure that data workflows and infrastructure scale seamlessly in a cloud-native environment.
Data Integration and Transformation: Collaborate with other teams to design seamless data integration between HCM and BDC systems. You will focus on data transformation, cleansing, and deduplication, ensuring that the data pipelines remain efficient, scalable, and maintainable.
Optimize Data Processing: Tune ETL pipeline performance, optimizing for low-latency data delivery and real-time processing. You will troubleshoot and debug complex issues that arise in distributed data environments, ensuring smooth operations across systems.
Database and Big Data Tools Management: Leverage your knowledge of SQL and big data tools like Hive, HBase, and Parquet to manage large volumes of data. You will work with structured and unstructured data to improve storage and querying processes.
Performance Optimization & Data Quality: Drive initiatives focused on data quality, including data deduplication and performance optimizations across pipelines. Ensuring high data accuracy and performance is key to the success of the team and the business.
Collaboration and Mentorship: Work closely with data scientists, analysts, and engineers to ensure smooth data integration and foster collaboration. As a senior member of the team, you will also provide technical leadership and mentorship to junior engineers, helping them grow and adopt best practices in data engineering and DevOps.
Skills and Competencies
To excel in this role, candidates should have:
Strong programming expertise in Python, Java, or Scala for building scalable data pipelines and microservices.
Experience with Apache Spark, Kafka, and Airflow for building data workflows and handling large datasets.
Proficiency in SQL for querying structured data and interacting with databases.
Experience with microservices architecture, including building, deploying, and managing data services.
Familiarity with DevOps tools such as Jenkins, Git, Docker, and Kubernetes for continuous integration and delivery.
Hands-on experience with big data tools like Hive, HBase, and Parquet for managing large data volumes.
Expertise in data transformation, deduplication, performance optimization, and working in distributed systems.
Familiarity with machine learning workflow integration and automating ML data pipelines.
Ability to design and scale microservices for high-volume data workloads.
Strong problem-solving abilities with a focus on troubleshooting and debugging in distributed data environments.
Experience providing technical leadership and mentorship to junior engineers.
Education and Work Experience
8+ years of professional experience in data engineering, with a strong understanding of system architecture, programming, and technical troubleshooting.
Bachelor’s/Master’s degree in Computer Science or a related field.
Excellent written and verbal communication skills, with the ability to collaborate with teams across the organization.
Why Join SAP?
At SAP, we believe in empowering individuals to do their best work. Our culture encourages flexibility, learning, and personal development. As a Senior Data Engineer at SAP, you will be part of a highly collaborative team with a shared passion for using data to drive business transformation. In addition to a competitive salary, we offer a variety of benefits to support your career, health, and well-being.
SAP SuccessFactors is a global leader in HR software, with a presence in over 200 countries and more than 191 million users. By joining our team, you will have the opportunity to influence the future of HR technology and contribute to meaningful change.
At SAP, we believe in the power of diversity and inclusion. We are committed to creating an environment where all employees can feel empowered to contribute their unique perspectives and talents. Together, we can help organizations optimize their HR processes and unlock the potential of their workforce.
Apply Today
If you are a skilled Senior Data Engineer with a passion for building scalable data systems and contributing to a collaborative team environment, we want to hear from you. Apply today to join SAP and make a meaningful impact on businesses and organizations globally.
Conclusion
SAP offers an exciting opportunity for a Senior Data Engineer to join its HCM Analytics team and help shape the future of workforce data. With your expertise in data engineering, ETL pipelines, and DevOps practices, you will play a critical role in supporting SAP SuccessFactors’ mission of helping organizations optimize their HR processes and improve employee experiences worldwide.
Requisition ID: 419963
Work Area: Software Design and Development
Expected Travel: 0 – 10%
Career Status: Professional
Employment Type: Regular Full-Time
Additional Locations: #LI-Hybrid