SAP Deutschlandweit vor 3 Wochen

Forward Deployed Data Engineer Expert (f/m/d)

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Das ist der Job

Ensure data solutions meet enterprise requirements for performance, security, governance, and compliance.

Darum lohnt es sich

Role Overview In this role, you design, build, and operate scalable data pipelines and platforms that enable analytics, reporting, and advanced data‑driven use cases embedded directly within customer environments and fast‑moving delivery teams. Build and optimize data processing workflows using modern data platforms and cloud‑based technologies.

Embed directly into customer projects and fast‑moving cross‑functional teams to rapidly understand business processes, technical landscapes, and operational challenges. Collaborate with data scientists, analysts, and product teams to translate analytical requirements into efficient data engineering designs.

Capture reusable patterns, accelerators, and product improvement opportunities from customer engagements, contributing back to engineering standards, frameworks, and best practices across teams. Experience working with modern data platforms and cloud‑based data technologies (e.g. data warehouses, data lakes, distributed processing frameworks).

Strong collaboration and communication skills, with the ability to work effectively across technical and non‑technical teams.

Design and build scalable ETL/ELT pipelines, robust data models, and integrated enterprise data systems using modern lakehouse architectures (Parquet, Delta Lake) and platforms such as SAP HANA, Databricks, and big data frameworks (PySpark).

Where you belong You will be part of a growing AI and industry expert team dedicated to serving customers across the region (Americas, Europe, Asia). This team thrives on working together to turn complex business challenges into practical, scalable solutions.

You translate business and analytical requirements into robust, maintainable data solutions and ensure that data is reliable, secure, and accessible across the organization.

You work closely with customers and combine cloud native software engineering, enterprise data engineering, and production‑grade AI capabilities to solve complex real‑world business problems at speed. Responsibilities Design, develop, and maintain scalable data pipelines and data models that support analytics, reporting, and AI use cases.

Integrate data from multiple internal and external sources, ensuring data quality, consistency, and reliability across the data landscape. Monitor, troubleshoot, and improve data pipelines and platforms to ensure operational stability and continuous improvement.

Contribute to engineering standards, best practices, and reusable components to increase efficiency and maintainability. Qualifications Strong experience in data engineering, including the design and implementation of scalable data pipelines and data models.

Ability to operate effectively in an Agentic AI context, contributing to the design, application, and responsible use of AI agents within complex business processes. Proficiency in SQL and at least one programming language commonly used in data engineering (e.g. Python).

Solid understanding of data quality, data governance, and data lifecycle management in enterprise environments. Ability to translate business and analytical needs into robust technical data solutions.

Develop and manage batch and real‑time data pipelines leveraging workflow orchestration tools (e.g., Airflow) and streaming technologies such as Kafka to ensure reliable, efficient, and high‑performance data processing.

Ensure data quality, governance, compliance, and PII protection while implementing CI/CD pipelines and applying best practices with Docker and Git within data engineering workflows.

We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.

You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape.

We are committed to Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. Requisition ID: | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time #J-18808-Ljbffr

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