Sap Analyst jobs in Germany

Job Summary

As a Data Engineer / Integration Specialist within the EY SAP Enterprise Data Management Initiative run by SAP Platforms & Assets, you will be responsible for designing, building, and optimizing scalable data pipelines and system integrations for data management and transformation projects.

You will be part of a global team creating an advanced, cloud-enabled data platform that uses technologies from SAP, Databricks, Snowflake, NVIDIA and Microsoft. Your focus will be to enable seamless data movement, transformation, and integration between SAP systems and modern data platforms, ensuring data availability and quality across multiple environments.

This role requires a hands-on, technically proficient individual with deep experience in both SAP integration and modern cloud-native data engineering.

Essential Functions of the Job

• Build and maintain ETL/ELT data pipelines and integrations to support SAP BDC migration and transformation workflows.
• Develop scalable data flows connecting SAP systems with cloud platforms such as Databricks, Azure Synapse, and Snowflake.
• Integrate SAP data (IDocs, BAPIs, flat files) with modern data lakes, warehouses, and analytical tools using Databricks, Nvidia RAPIDS, and other technologies.
• Optimize data transformation jobs for performance, reliability, and maintainability in hybrid or multi-cloud setups.
• Collaborate with architects to ensure integration solutions align with enterprise data strategy and standards.
• Apply best practices in data security, encryption, data masking, and compliance within integration pipelines.
• Develop reusable scripts, connectors, and data wrangling logic across SAP and cloud-native environments.
• Monitor data jobs, troubleshoot failures, and perform root cause analysis to resolve complex data movement issues.
• Use CI/CD practices to automate deployment of data jobs across dev/test/prod environments.
• Document technical specifications, mappings, job flows, and operational procedures to support long-term maintainability.

Knowledge and Skills Requirements

• Deep experience with SAP BDC, data migration, and SAP integration techniques (LSMW, IDocs, BAPIs, BDC recordings).
• Strong proficiency in ETL tools and frameworks, e.g., SAP BODS, Azure Data Factory, Informatica, or Talend.
• Hands-on with cloud-based integration services, e.g., AWS Glue, Google Dataflow, Snowflake Tasks/Streams, or Databricks Workflows.
• Familiarity with cloud data platforms (Azure Synapse, Google BigQuery, Snowflake) and parallel compute frameworks (Nvidia RAPIDS, PySpark).
• Strong skills in SQL, scripting (Python, Shell), and version control (Git).
• Knowledge of API integrations, message queues, and event-driven data pipelines.
• Experience in data quality validation and exception handling within pipelines.
• Comfortable working in Agile delivery and CI/CD environments.

Other Requirements

• Strong collaboration skills in global delivery models (onshore/offshore).
• Certifications in relevant tools or cloud platforms (e.g., Azure Data Engineer, AWS Big Data) are a plus.
• Working experience in regulated or large enterprise data environments is desirable.
• Ability to travel based on project or client needs.

Job Requirements

• Education
  
  • BS/MS in Computer Science, Data Engineering, Information Systems, or related field.

• Experience
  
  • 8–12+ years of experience in data engineering and system integration, with 3–5 years focused on SAP data pipelines and cloud integration technologies.

Senior Consultant – International Tax and Transaction Services

As our Tax Senior Consultant, you will play a pivotal role in providing expert tax structuring, due diligence and other transaction support to a diverse range of clients, including large multinational, private equity, private and other institutions, across a broad range of sectors. You will be joining the market leading M&A practice, evidenced by EY being retained as the no. 1 advisor on value and volume of deals in Oceania, as recognized by MergerMarket. As a result, you will be working on market leading transactions with respect to household brand names.

Your key responsibilities

• Advising clients on domestic and international tax matters associated with all aspects of the M&A life cycle, including due diligence, structuring and other advisory engagements.
• Project managing both clients and internal teams to ensure a multidisciplinary project is delivered seamlessly across specialties and geographies
• Providing support and guidance to junior team members, while staying up to date with tax law changes and industry trends

Skills and attributes for success

• At least 2 years’ experience in Australian tax consulting within a top tier accounting firm, corporate, tax consulting or legal environment
• Inbound and outbound transaction consulting with international tax research, planning and compliance experience and/or tax due diligence, deal structuring, and post-acquisition planning experience.
• Ability to succinctly and clearly communicate complex tax concepts to clients.

Ideally, you’ll also have the skills and attributes below but don’t worry if you don’t tick all the boxes. We’re interested in your aptitude, attitude and willingness to learn.

• Experience managing budgets, projects and people.
• Ability to develop relationships with clients and provide a high level of client service

What we offer you

At EY, we’ll fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .

• Career development: At EY, your career is yours to shape! We’ll develop you with future-focused skills and equip you with world-class experiences
• Flexible work arrangements: Our flexible work policies empower you to balance your professional and personal life, fostering a culture of trust and autonomy.
• A comprehensive benefits package : From a yearly wellness incentive, to access to additional 8 weeks of flex leave per year, and family-friendly policies, including 26 weeks of gender-neutral paid parental leave, we cater to your diverse needs to help you thrive both personally and professionally
• Salary: We offer a competitive salary which is open to negotiation pending on skills and experience.

Acknowledgement of Country

Our preferred applicant will be required to undertake employment screening by EY or our external third-party provider.

© 2025 Ernst & Young Australia. A member firm of Ernst & Young Global Limited. All Rights Reserved. Liability limited by a scheme approved under Professional Standards Legislation.

Azure ML and Python Dev- Senior 1/2

EY GDS Consulting digital engineering, is seeking experienced Azure ML and Python Developer. Your responsibilities will include designing and implementing data pre-processing, feature engineering, and model training pipelines, collaborating closely with data scientists, and ensuring model performance and reliability in production environments. Proficiency in Azure ML services, Python programming, and a strong background in machine learning are key requirements for this role.

Your key responsibilities

• Develop and deploy machine learning models on Azure cloud platform using Python programming language and Azure ML services.
• Design and implement scalable and efficient data pipelines for model training and inference.
• Collaborate with data scientists and business stakeholders to understand requirements and translate them into technical solutions.
• Implement best practices for ML development, including version control, testing, and documentation.
• Develop and maintain APIs on Azure cloud platform for model deployment and integration with applications.
• Monitor and optimize model performance, ensuring scalability, reliability, and security.
• Participate in code reviews, troubleshooting, and optimization to improve performance and maintainability.
• Stay updated with industry trends and best practices in machine learning, cloud computing, and API development.
• Mentor junior team members, sharing expertise and guiding them in technical challenges.
• Collaborate with cross-functional teams, including data engineers, data scientists, and business analysts, to deliver end-to-end solutions.
• Conduct regular evaluations and assessments of ML models and APIs, identifying areas for improvement and optimization.
• Lead and contribute to innovation initiatives, exploring new technologies and approaches to enhance our ML and cloud capabilities.

Soft Skills

• Bachelor's degree in computer science, data science, or related field.
• 6-8 years of experience in machine learning, data engineering, and cloud computing, with a strong focus on Azure services.
• Proficiency in Python programming language for ML model development and deployment.
• Experience with Azure ML services, Azure data services (e.g., Azure Data Lake, Azure SQL Database), and Azure cloud infrastructure.
• Strong understanding of machine learning concepts, algorithms, and techniques, including supervised and unsupervised learning, deep learning, and natural language processing.
• Expertise in designing and implementing data pipelines for ML model training and inference, using tools like Azure Databricks, Azure Data Factory, and Azure Synapse Analytics.
• Familiarity with cloud-native technologies, containerization (e.g., Docker, Kubernetes), and DevOps practices for ML model deployment and automation.
• Experience with version control systems (e.g., Git/GitHub), CI/CD pipelines, and software engineering best practices for ML projects.
• Strong analytical and problem-solving skills, with the ability to analyze complex data sets, identify patterns, and derive meaningful insights.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.
• Proactive mindset, self-driven, and eager to learn new technologies and methodologies in the ML and cloud computing space.
• Ability to work in a fast-paced environment, manage multiple priorities, and deliver high-quality results under tight deadlines.

To qualify for the role, you must have

• A bachelor's or master's degree in computer science, data science, or related field.
• 6-8 years of hands-on experience in machine learning, cloud computing, and API development, with a focus on Azure services.
• Proficiency in Python programming language for ML model development and deployment, along with experience using Azure ML services and Azure cloud infrastructure.
• Strong communication skills, both verbal and written, with the ability to articulate technical concepts effectively to diverse audiences.
• Proven track record of successfully delivering ML projects, designing scalable data pipelines, and collaborating in cross-functional teams.
• Certifications such as Microsoft Certified: Azure AI Engineer Associate, Microsoft Certified: Azure Data Scientist Associate, or equivalent, are highly desirable.
• Experience with other cloud platforms (e.g., AWS, Google Cloud Platform) and additional programming languages (e.g., R, Java) is a plus.

Ideally, you’ll also have

• Analytical ability to manage multiple ML projects simultaneously, prioritize tasks effectively, and make data-driven decisions.
• Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills and initiative.
• Familiarity with advanced ML techniques and frameworks (e.g., TensorFlow, PyTorch) for deep learning and computer vision applications.
• Knowledge of cloud security principles, data governance, and regulatory compliance frameworks relevant to ML and cloud environments.
• Experience with Big Data technologies (e.g., Apache Spark, Hadoop) for processing large-scale datasets and building ML models at scale.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

Job Summary

As a Data Engineer / Integration Specialist within the EY SAP Enterprise Data Management Initiative run by SAP Platforms & Assets, you will be responsible for designing, building, and optimizing scalable data pipelines and system integrations for data management and transformation projects.

You will be part of a global team creating an advanced, cloud-enabled data platform that uses technologies from SAP, Databricks, Snowflake, NVIDIA and Microsoft. Your focus will be to enable seamless data movement, transformation, and integration between SAP systems and modern data platforms, ensuring data availability and quality across multiple environments.

This role requires a hands-on, technically proficient individual with deep experience in both SAP integration and modern cloud-native data engineering.

Essential Functions of the Job

• Build and maintain ETL/ELT data pipelines and integrations to support SAP BDC migration and transformation workflows.
• Develop scalable data flows connecting SAP systems with cloud platforms such as Databricks, Azure Synapse, and Snowflake.
• Integrate SAP data (IDocs, BAPIs, flat files) with modern data lakes, warehouses, and analytical tools using Databricks, Nvidia RAPIDS, and other technologies.
• Optimize data transformation jobs for performance, reliability, and maintainability in hybrid or multi-cloud setups.
• Collaborate with architects to ensure integration solutions align with enterprise data strategy and standards.
• Apply best practices in data security, encryption, data masking, and compliance within integration pipelines.
• Develop reusable scripts, connectors, and data wrangling logic across SAP and cloud-native environments.
• Monitor data jobs, troubleshoot failures, and perform root cause analysis to resolve complex data movement issues.
• Use CI/CD practices to automate deployment of data jobs across dev/test/prod environments.
• Document technical specifications, mappings, job flows, and operational procedures to support long-term maintainability.

Knowledge and Skills Requirements

• Deep experience with SAP BDC, data migration, and SAP integration techniques (LSMW, IDocs, BAPIs, BDC recordings).
• Strong proficiency in ETL tools and frameworks, e.g., SAP BODS, Azure Data Factory, Informatica, or Talend.
• Hands-on with cloud-based integration services, e.g., AWS Glue, Google Dataflow, Snowflake Tasks/Streams, or Databricks Workflows.
• Familiarity with cloud data platforms (Azure Synapse, Google BigQuery, Snowflake) and parallel compute frameworks (Nvidia RAPIDS, PySpark).
• Strong skills in SQL, scripting (Python, Shell), and version control (Git).
• Knowledge of API integrations, message queues, and event-driven data pipelines.
• Experience in data quality validation and exception handling within pipelines.
• Comfortable working in Agile delivery and CI/CD environments.

Other Requirements

• Strong collaboration skills in global delivery models (onshore/offshore).
• Certifications in relevant tools or cloud platforms (e.g., Azure Data Engineer, AWS Big Data) are a plus.
• Working experience in regulated or large enterprise data environments is desirable.
• Ability to travel based on project or client needs.

Job Requirements

• Education
  
  • BS/MS in Computer Science, Data Engineering, Information Systems, or related field.

• Experience
  
  • 8–12+ years of experience in data engineering and system integration, with 3–5 years focused on SAP data pipelines and cloud integration technologies.