Data Engineer

• Development of custom solutions in the area of SAP ILM and data management
• Implementation of compliance and ILM requirements and execution of technical analyses
• Design of technical solution architectures in the area of SAP Data Management and ILM
• Creation and optimization of reports and programs related to data protection and data volume management
• Data cleansing and optimization, ensuring high data quality
• Support for workshops and training sessions

Senior SAP ABAP Developer / Architect – Data Management, ILM

• Build and optimize cloud-native data pipelines on AWS — ETL/ELT and the infrastructure underneath (Aurora, Redshift, dbt, Spark/EMR, Airflow, CDC) — using AI tooling as a standard part of the workflow.
• Design and evolve the data models that power analytics, operational use cases, and AI/ML across thousands of studios.
• Help raise the bar on data reliability — embed governance, testing, and lineage so both people and AI systems can trust the numbers by default.
• Partner with product, and other engineering teams to turn ambiguous business problems into robust data solutions.
• Evaluate and evolve new approaches with us — data mesh patterns, and emerging AI tooling — and help decide what genuinely earns a place in our stack.
• Grow into our financial and regulatory reporting workstream (Finion Capital), where correctness and auditability matter most.

AI-First Data Engineer

• Take technical ownership of our Snowflake-based data platform and continuously advance it strategically and technically
• Design and optimize scalable data architectures, data warehouses, and data models with a focus on performance, stability, and long-term viability
• Develop, operate, and optimize high-performance ETL/ELT pipelines
• Define best practices for data quality, data modeling, and architecture
• Serve as the central point of contact for technical questions

Senior Snowflake Data Engineer

• Take ownership, improve, scale, and iterate on existing data processing pipelines.
• Design and implement new data processing pipelines.
• Collect and monitor performance metrics.
• Play a key role in discussing and implementing security best practices.

Senior/Lead Software Data Engineer – Roads Team

• You design, build, and operate data pipelines and platforms.
• You develop, test, and operate robust ETL/ELT pipelines.
• You design and maintain data models, schemas, and structures for data warehouses/lakehouses.
• You implement validations, quality checks, and monitoring.
• You build and optimize data solutions in the cloud (AWS/Azure/GCP).
• You automate recurring data workflows (e.g., using Airflow) and ensure clean deployments with CI/CD.
• You collaborate closely with cross-functional teams and clients.

• Connect source systems — CRM (Pipedrive), product databases, finance systems, third-party APIs, hotel systems
• Build transformation layer (dbt or equivalent): properly versioned, tested, documented
• Provide reliable data foundation for C-level and investor reporting
• Enable business teams to work self-service in the BI tool

Internal Data Engineer

• You take functional responsibility for the stable operation and further development of the central data warehouse and ETL landscape
• You analyze data and process disruptions, coordinate sustainable remediation, and moderate ad‑hoc solution sessions in operational support
• You drive the strategy to strengthen internal technical knowledge of data storage and dashboard design (e.g., in Tableau) and to reduce dependence on external service providers
• You serve as the central point of contact for business units such as Finance and Risk Management. You capture requirements, maintain the backlog, and prioritize implementation in a hybrid/agile working mode
• You oversee collaboration with external vendors and internal stakeholders and support the continuous optimization of the data platform

Application Owner, Data Warehouse

• As part of our Enterprise Professional Services organization, you'll join a customer project team that delivers a comprehensive digital twin of our customers’ globally distributed factory network.
• You will manage, control, and deliver 3D data for the end customer's facilities as part of a team that owns quality assurance and data delivery.
• You will gain hands-on insight into executing a large-scale customer project, working closely with our project managers and 3D scanning partners, and play a key role in its success.
• You will become a subject matter expert on our NavVis IVION SaaS and will work on setting up, fine-tuning, and managing our customer solution
• After a structured onboarding, you'll work with diverse spatial data including 3D scans, point clouds, floor plans, panoramic images, and 3D models
• As 3D Data Admin for one of the customer's global production sites, you'll manage all incoming 3D data, owning processing, quality assurance, spatial data setup, and data delivery.
• You will also interact with multiple interfaces such as Reality Capture Service Provider, Project Manager, and End Customer.

Data Operations Engineer, F/M/D

• Build and optimize AI-driven workflows for data visualization and export
• Develop systems that analyze datasets and recommend the most suitable visualization types
• Design and evaluate LLM-based features, including prompt strategies and quality metrics
• Work on data classification, structuring, and enrichment to improve usability
• Turn experiments into production-ready services (Java-based backend)
• Define and track quality and success metrics (e.g., output accuracy, user value)

AI Engineer, Data Visualization – AI Workflows

• Analyse and document the current FileMaker database, including data structures, scripts, layouts, integrations, and operational dependencies.
• Develop a thorough understanding of business processes currently implemented within the FileMaker environment.
• Identify opportunities to modularise the existing monolithic solution and define target architectures for moving functionality to external or best-of-breed systems.
• Design and execute a phased approach for migrating or decoupling features from FileMaker while minimising disruption to business operations.
• Review, refactor, and where necessary redesign the existing data model to improve consistency, performance, and long-term maintainability.
• Prepare the data structure for seamless integration with other systems, including the definition of clear data ownership, interfaces, and integration patterns (e.g. APIs, data synchronisation, or event-based integration).
• Implement and maintain integrations between FileMaker and external systems, ensuring robustness, security, and data accuracy.
• Collaborate with business stakeholders, IT, and external vendors to align technical changes with business priorities and future system strategies.
• Establish documentation, standards, and best practices for data modelling, integrations, and ongoing system evolution.
• Support knowledge transfer and ensure that architectural decisions and system behaviour are transparent and maintainable for future teams.

Data Engineer – FileMaker

• Coordinate and deliver cross-departmental data projects with business and technical stakeholders, from concept through to delivery, ensuring measurable business impact
• Own the maintenance and further development of the data platform, including introducing a data catalog and evaluating dbt as a replacement for existing legacy pipelines
• Design and implement complex, cross-functional data architectures and advanced data models that enable self-service analytics and data-driven decision making
• Coach and mentor junior and peer engineers to strengthen team capabilities and establish common standards within the Data Engineering team

Senior Data Engineer

• Build and maintain a robust data foundation
• Develop scalable data pipelines and reliable data structures
• Prepare data for reporting and AI applications
• Collaborate with cross-functional teams to translate requirements into data solutions
• End-to-end responsibility for data products

Data Engineer – Fintech

• As an OT Applications & Data Engineer at AG Solution Group, you will be responsible for the hands-on implementation, integration, and support of industrial IT and OT data systems for our process manufacturing customers.
• Industrial IT & Data Integration: Implement, configure, and integrate OT/IT systems and data flows, connecting control-layer sources (DCS, PLC, SCADA) to historians, data platforms, and enterprise systems through APIs and standard interfaces.
• AVEVA PI & Historian: Configure, maintain, and extend AVEVA PI (PI Data Archive, Asset Framework, interfaces/connectors) to capture, contextualize, and serve real-time and historical operational data.
• Alarm Management: Support and optimize alarm management systems (e.g., Honeywell Alarm Management, currently in use), including alarm rationalization, classification, and analysis of alarm performance, critical alarms, and alarm floods.
• Connectivity & Protocols: Set up and troubleshoot industrial connectivity using OPC UA and OPC A&E, including configuring tunnelers/wrappers to bridge OT data sources securely and reliably.
• Production Data Flow: Ensure seamless, secure, and well-structured data flow across the industrial IT landscape, transforming raw operational data into meaningful information for operations and decision-making.
• System Support & Troubleshooting: Provide ongoing support for OT/IT applications, troubleshooting issues across networks, software, and data integrations to keep systems running efficiently.
• Collaboration with Teams: Work closely with AG, customer, and partner OT architects, IT teams, and operations to ensure systems are configured correctly, data is integrated properly, and solutions meet operational needs.
• Knowledge Management & Best Practices: Contribute to internal documentation, best practices, and troubleshooting guides, and help continuously improve how we deliver industrial IT and data solutions.

OT Applications & Data Engineer – Industrial IT, AVEVA PI, Alarm Management

• You bring extensive consulting experience, are familiar with the SAP and SAP BW landscape, and will passionately support our transition to the Databricks ecosystem
• You define, model, and implement end-to-end data pipelines
• You translate business use cases into scalable data models and data products
• You play a leading role in the initial setup and the ongoing expansion of the company-wide Databricks platform, the successor system to our SAP BW on HANA landscape
• You take responsibility for the technical and methodological implementation of demanding BI and analytics projects in close collaboration with business units, IT teams, and stakeholders
• Managing (sub-)project teams is part of your responsibilities or will become part of your role in the future

Data Engineer – Data Warehouse

• Develop and maintain software components for AI and data-driven applications.
• Design and improve data pipelines, processing workflows, and data management solutions.
• Support the preparation, organization, and quality assurance of datasets used for AI systems.
• Contribute to the development of knowledge organization frameworks, including taxonomies, ontologies, and related data models where applicable.
• Assist in AI model evaluation, experimentation, and deployment activities.
• Collaborate within an Agile development environment using modern software engineering practices.
• Create and maintain technical documentation to support development and knowledge sharing.

Working Student – AI & Data Engineering

• Bewertung und Auswahl von Materialstamm-Daten als Grundlage für eine Agentic-AI-Lösung
• Master Data Architecture im Kontext Materialstamm aufsetzen bzw. schärfen
• Identifikation und Strukturierung der „schwierigen Fälle" im Material Creation Process
• Fachliche Begleitung des Order-Management-/Material-Creation-Prozesses aus MDM-Sicht

SAP Data Architect – MDM, Materialstamm im Agentic-AI-Kontext

• Create scalable data foundations within cross-functional project teams
• Break down data silos and build robust infrastructures
• Partner with clients from the initial idea through to implementation
• Take architectural responsibility for building modern data platforms
• Perform structured migration of existing on-premises architectures to the cloud-based Microsoft Fabric environment
• Implement highly efficient ETL/ELT pipelines and structure lakehouses
• Foster development of junior colleagues through mentoring

Senior Data Engineer – Microsoft Fabric

• Seamlessly collect, process, store, and optimize company data to unlock its full power.
• Develop cutting-edge data solutions from the ground up, collaborating with various stakeholders from design to deployment.
• Identify automation opportunities for existing and new applications to enhance efficiency.
• Create a DataOps strategy and champion best practices to ensure data reliability and scalability.
• Innovate and enhance data quality and architecture within your scope.
• Push the boundaries of innovation by embracing the latest technologies and methodologies.

• Structure requirements and translate them into architectural understanding
• Design modern, scalable data platform concepts
• Act as a sparring partner for clients and advise on technology selection
• Develop and orchestrate data products
• Define governance and architecture guidelines

Data Architect

• Own and evolve our data pipeline infrastructure - designing and maintaining reliable, scalable ingestion and transformation pipelines across our practice management systems landscape and internal sources
• Own our data warehouse: drive thoughtful data modeling, ensure high data quality, and make it a trusted foundation for the Analytics and product teams who depend on it
• Define and enforce data contracts with producing teams, ensuring schema stability, clear ownership, and reliable data delivery
• Drive data model evolution: managing schema versioning, breaking change processes, and communicating impact clearly to consuming teams
• Build and maintain Reverse ETL pipelines to sync curated data back into operational systems and tools used across the business
• Establish monitoring, alerting, and incident response practices for our data systems, ensuring high availability and fast time-to-recovery
• Drive documentation culture around data - catalog, lineage, and metadata as first-class concerns, supporting governance and compliance in a regulated healthcare environment.
• Partner closely with the Data Analytics, Product and Engineering streams to ensure data is structured, accessible, and trustworthy for downstream analysis and reporting

Data Engineer jobs in Germany

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Senior SAP ABAP Developer / Architect – Data Management, ILM

AI-First Data Engineer

Senior Snowflake Data Engineer

Senior/Lead Software Data Engineer – Roads Team

Data Engineer

Internal Data Engineer

Application Owner, Data Warehouse

Data Operations Engineer, F/M/D

AI Engineer, Data Visualization – AI Workflows

Data Engineer – FileMaker

Senior Data Engineer

Data Engineer – Fintech

OT Applications & Data Engineer – Industrial IT, AVEVA PI, Alarm Management

Data Engineer – Data Warehouse

Working Student – AI & Data Engineering

SAP Data Architect – MDM, Materialstamm im Agentic-AI-Kontext

Senior Data Engineer – Microsoft Fabric

Senior Data Engineer

Data Architect

Senior Data Engineer