Data Engineer

• Plan, develop, and operate scalable and secure cloud data management solutions
• Focus on software-driven architecture, automation, and Infrastructure as Code
• Develop data-driven applications, APIs, and services for Big Data, Machine Learning, and Predictive Analytics use cases
• Build and continuously evolve data architectures using Microsoft Azure, Snowflake, or Databricks
• Advise customers on data solutions
• Conduct workshops for requirements analysis and optimal data architectures
• Take technical and analytical responsibility within consulting teams
• Develop innovative solutions and derive valuable insights from data for customers

Data Engineer/Scientist building cloud data platforms and AI solutions for taod Consulting’s clients

Data Engineer, Data Scientist

Data Engineer/Scientist building cloud data platforms, analytics applications, and AI solutions for taod Consulting clients. Advising customers and delivering data architecture workshops.

• Define and implement core data models for users, events, and performance
• Design and operate robust, production-grade data pipelines
• Establish a single source of truth for key business and product metrics
• Structure data for business and product analysis, including retention, funnels, and activation
• Build and deploy data services and jobs on AWS, including S3, Lambda, ECS/EKS, Glue, Athena, and Redshift
• Make pragmatic decisions about how data is stored, processed, and accessed
• Evaluate and introduce tools such as BigQuery, Snowflake, and Databricks where they add value
• Ensure the architecture scales with product, AI, and data growth without overengineering
• Optimize pipelines for scalability, cost efficiency, and performance
• Write clean, maintainable, well-structured Python code following software engineering best practices
• Collaborate with Product, Engineering, AI, and Business teams
• Build CUJU’s technical data-platform foundation
• Enable scalable, reliable, production-ready analytics across the company
• Shape how data is ingested, processed, and used in products
• Influence player insights, product features, and long-term data strategy

Senior Data Engineer building CUJU’s AI-powered football scouting data platform

Senior Data Engineer – Data Foundation, Analytics

Senior Data Engineer building CUJU’s data foundation for AI-powered football scouting. Creating pipelines, metrics, and analytics infrastructure for athletes, clubs, and product teams.

• Coordinate cross-functional data governance
• Advise teams on data architectures
• Design decentralized, cross-functional data architectures
• Establish the “Data as a Product” principle and federated governance for business domains
• Integrate data architectures holistically into the enterprise architecture landscape
• Create future-ready target architecture plans and migration roadmaps
• Develop semantic enterprise data models using Domain-Driven Design
• Strategically develop taxonomies, ontologies, and metadata management

Enterprise Architect shaping data governance for Atruvia’s German cooperative banking technology platform

Enterprise Architect, Data Management

Enterprise Architect shaping data governance and modern data architectures for Atruvia, the technology partner of Germany’s cooperative banking group. Developing enterprise models, taxonomies, ontologies, and migration roadmaps.

• Build and operate the data infrastructure powering CIVORA, DKSR’s urban data hub for cities and regions
• Contribute to platform components and internal tooling
• Collaborate with product and project delivery teams to shape reusable, scalable, and well-documented data infrastructure
• Design and maintain batch and streaming data pipelines serving multiple cities and use cases
• Support complex and mission-critical use cases and establish best practices and design patterns
• Write clean, maintainable, testable software
• Propose and prototype new approaches and challenge existing patterns
• Understand business problems, refine requirements, design systems, and deliver solutions end-to-end
• Work closely with the Data Architect and product development team

Data Engineer building streaming data infrastructure for DKSR’s urban data hub CIVORA

Data Engineer building batch and streaming infrastructure for DKSR’s CIVORA urban data hub. Supporting cities, regions, and mission-critical data use cases.

• Design, development, and optimization of machine learning and deep learning models
• Design, implementation, and optimization of NLP solutions, LLMs, and RAG architectures
• Building retrieval and knowledge layers for semantic search using embeddings and vector or graph databases
• Building, deploying, and operating ML and GenAI services
• Building and operating scalable data pipelines

Senior AI/ML/Data Engineer building GenAI solutions for QAVION’s consulting and technology boutique

Senior AI/ML/Data Engineer

Senior AI/ML/Data Engineer building ML, NLP, LLM, and RAG solutions for QAVION’s consulting and technology boutique. Developing semantic search, GenAI services, and scalable data pipelines.

• Build and operate a standardized, cloud-based data lake in Azure
• Design and implement cloud architecture in Azure, including networking, IAM, cost management, and governance
• Provide secure and efficient Python development environments for data and engineering teams
• Build and maintain data pipelines and system interfaces
• Establish and further develop an Infrastructure-as-Code foundation using Terraform or Bicep
• Establish CI/CD pipelines and automated deployment processes
• Automate recurring infrastructure and operational tasks
• Implement monitoring, logging, and observability across all platform components
• Manage operational information security across the cloud landscape, including identity, secrets, and access reviews
• Collaborate with the KRITIS/ISO specialist on audit preparation and implementation
• Contribute to meeting regulatory requirements in the energy sector, particularly KRITIS and NIS2
• Support the ongoing development of Jira, Confluence, HubSpot, and Microsoft 365
• Contribute to the department’s strategic direction
• Assume operational responsibility and technical ownership for Azure, data, and business platforms

Cloud & Data Platform Engineer für Azure-Dateninfrastruktur bei Batteriespeicherunternehmen green flexibility

Senior Cloud & Data Platform Engineer

Cloud & Data Platform Engineer für Azure, Data Lakes und Automatisierung bei green flexibility. Aufbau skalierbarer Energieinfrastruktur für Großbatteriespeicher in Europa.

• Lead the evolution of the Product Lifecycle Management (PLM) data landscape
• Bridge business strategy and technical execution as the core technical orchestrator for the PLM Datamesh architecture
• Lead agile development workflows and manage critical data operations
• Design next-generation data products ensuring high availability, compliance, and accuracy
• Lead the transition and architectural evolution of PLM data products from relational databases to Skywise (Palantir)
• Build, manage, and scale data products using Palantir Foundry, Collate, and Kafka
• Maintain and optimize automated Python scripts in SCM repositories executed via Jenkins
• Act as focal point for business stakeholders to gather requirements, define technical specifications, and evaluate feasibility
• Provide technical guidance to developers on PLM database schemas, datamesh architecture, and data modeling
• Coordinate with external development partners and oversee technical delivery

Lead Data Engineer shaping Airbus’s PLM data architecture for sustainable aircraft production

Lead Data Engineer, PLM

Lead Data Engineer evolving Airbus’s PLM Datamesh and data products for sustainable aircraft production. Guiding Palantir, Kafka, Python, and Jenkins engineering across enterprise platforms.

• Engage directly with customers onsite a couple of days per week in the Frankfurt Region
• Build strong customer relationships and understand scientific data challenges and requirements
• Design and implement extensible, reusable data models for scientific use cases
• Translate scientific data workflows into robust solutions using the Tetra Data Platform
• Own, scope, prototype, and implement data and AI/ML solutions
• Develop Python-based parsers
• Integrate lab software such as ELN/LIMS via APIs
• Build data visualizations and applications in Python using Streamlit, holoviews, and Plotly
• Collaborate with Scientific Business Analysts, customer scientists, and applied AI engineers to develop and deploy models
• Interrogate proprietary instrument output files programmatically
• Iterate with scientific end users and technical stakeholders through demos and meetings to drive adoption
• Communicate implementation progress and deliver demos to customer stakeholders
• Collaborate with the product team to build and prioritize the roadmap based on customer pain points
• Learn new technologies, including AWS services and scientific analysis applications, to develop and troubleshoot use cases

Scientific Data Architect building AI-enabled scientific data solutions for TetraScience’s life sciences customers

Scientific Data Architect

Scientific Data Architect designing reusable data models, Python applications, and AI/ML solutions for TetraScience’s scientific data platform. Engaging Frankfurt-region life sciences customers onsite and remotely.

• Lead the technical design and architecture of a modern enterprise-scale data platform
• Define scalable data flows from Iceberg-based event storage into analytical and operational data products
• Evaluate and select technologies for orchestration, transformation, querying, serving, and storage
• Design reusable canonical entities and data models across advertising, campaigns, inventory, billing, and customer domains
• Establish scalable engineering patterns for batch and near-real-time processing
• Build reliable and observable data pipelines for high-volume AdTech workloads
• Implement data quality, lineage, observability, and reconciliation capabilities
• Collaborate with Platform Engineering teams to introduce CI-enforced data contracts and governance standards
• Define tenant isolation, access control, and regional data boundary strategies
• Establish standards for testing, deployment automation, schema evolution, and versioning
• Optimize platform performance, scalability, and infrastructure costs
• Mentor engineers and contribute to engineering excellence across the team
• Partner closely with leadership and cross-functional stakeholders
• Deliver the first production-ready version of the platform
• Establish the first production data foundation, documented architectural decisions, enforceable event contracts, tested canonical entities, and observable data quality and lineage

Principal Data Platform Engineer building AI-first lakehouse infrastructure for global AdTech

Principal Data Platform Engineer – Swedish Ad Platform

Principal Data Platform Engineer building an AI-first data platform for a global AdTech company.
Architecting event-driven lakehouse infrastructure, governed data products, and scalable analytics and AI capabilities.

• Lead the technical design and architecture of a modern enterprise-scale data platform
• Define scalable data flows from Iceberg-based event storage into analytical and operational data products
• Evaluate and select technologies for orchestration, transformation, querying, serving, and storage
• Design reusable canonical entities and data models across advertising, campaigns, inventory, billing, and customer domains
• Establish scalable engineering patterns for batch and near-real-time processing
• Build reliable and observable data pipelines for high-volume AdTech workloads
• Implement data quality, lineage, observability, and reconciliation capabilities
• Collaborate with Platform Engineering teams to introduce CI-enforced data contracts and governance standards
• Define tenant isolation, access control, and regional data boundary strategies
• Establish standards for testing, deployment automation, schema evolution, and versioning
• Optimize platform performance, scalability, and infrastructure costs
• Mentor engineers and contribute to engineering excellence across the team
• Partner closely with leadership and cross-functional stakeholders
• Deliver the first production-ready version of the platform
• Establish a production data foundation, documented architectural decisions, enforceable event contracts, tested canonical entities, and observable data quality and lineage within the first six months

Principal Data Platform Engineer building an AI-first lakehouse for a global AdTech company

Principal Data Platform Engineer building an AI-first data platform for a Sweden-based global AdTech company. Designing event-driven lakehouse architecture, governed data products, and scalable analytics infrastructure.

Principal Data Platform Engineer building an AI-first data platform for a global AdTech ecosystem. Designing event-driven lakehouse architecture, governed data products, and scalable analytics infrastructure.

• Work with multidisciplinary teams on technology strategy, business innovation, digital solutions and applications, and device and systems engineering
• Help clients envision and build businesses for the future
• Connect strategy, technology implementation, and operational services for clients in complex, regulated spaces including health and finance
• Contribute to Zühlke’s global transformation work and ongoing company journey

Data Engineer specializing in Databricks at Zühlke, a global technology transformation partner

Expert Data Engineer – Databricks

Data Engineer specializing in Databricks at Zühlke, a global technology transformation partner. Supporting digital solutions, innovation, and technology implementation for complex client needs.

• Advise clients and colleagues
• Analyze business and technical requirements together with the team
• Implement data engineering solutions based on the SAP portfolio
• Gain an in-depth understanding of clients’ business processes and deliver data management solutions
• As a Senior Consultant, take responsibility for the project and the Windhoff project team
• Design and implement data models and ETL pipelines in the backend
• Implement hybrid data infrastructures using SAP, Databricks, Snowflake, Dremio, Microsoft Azure, Google Cloud, and AWS
• Contribute to testing and the transition to live operations at the client
• Share knowledge through knowledge transfer, project presentations, and internal and external technology events

SAP Data Engineering Consultant für BW und Datasphere bei deutschem Data-&-AI-Dienstleister

Senior Consultant, Data Engineering, SAP BW/SAP Datasphere

SAP Data Engineering Consultant für BW und Datasphere bei Windhoff Group, einem deutschen Data-&-AI-Dienstleister. Entwicklung hybrider Datenlösungen mit SAP, Cloud-Plattformen und modernen Daten-Technologien.

• Contribute to the strategic vision for data engineering and participate in architectural design and development of complex data solutions
• Design and implement data systems and infrastructure for reliability and scalability
• Execute day-to-day engineering tasks and hands-on implementation
• Influence decisions regarding the data technology stack, infrastructure, and tools
• Create and deploy data architectures and workflows
• Set coding standards and best practices for the Data Engineering & Operations team
• Conduct and participate in code reviews
• Collaborate with database developers, software development, product management, and AI/ML developers
• Monitor progress, adjust priorities, and meet project deadlines and objectives
• Identify process improvements, automate manual processes, and optimize data delivery
• Provide technical guidance and training to peers
• Follow corporate security policies and procedures

Senior Data Engineer building scalable data platforms for Assent’s global compliance intelligence network

Senior Data Engineer

Senior Data Engineer building secure, scalable data platforms for Assent’s product compliance intelligence network. Driving architecture, hands-on implementation, governance, and technical mentorship.

• Development, testing and operation of robust ETL/ELT data pipelines
• Ingesting, transforming and provisioning data from a wide variety of sources
• Designing and maintaining data models, schemas and structures for data warehouses/lakehouses
• Implementing data validations, quality checks and monitoring
• Building and optimizing cloud data solutions with a focus on performance, scalability and cost
• Working with Infrastructure-as-Code
• Automating recurring data flows, e.g. with Airflow
• Ensuring clean, repeatable deployments with CI/CD
• Providing performant and well-documented datasets for data scientists and analysts
• Supporting the production rollout of models and use cases
• Collaborating with interdisciplinary teams and clients
• Translating business requirements into viable technical solutions

Data Engineer building scalable cloud data infrastructure for twomynds’ Data-&-AI consulting projects

Data Engineer building and operating scalable pipelines and cloud platforms for twomynds, a Data-&-AI consulting and service provider.
Enabling analytics, dashboards, and AI use cases with reliable data.

• Collaborate across functions to scale GLS/NXT data infrastructure
• Contribute to the roadmap and development of GLS/NXT data products
• Design, build, monitor, and scale data pipelines for data warehousing, integrating various data sources and destinations
• Develop data models and schemas supporting analytical requirements
• Resolve architecture and infrastructure challenges with other engineering teams
• Participate in cross-functional projects supporting data applications and reporting
• Address data quality issues and implement best practices
• Create and maintain comprehensive systems documentation
• Ensure the reliability and integrity of GLS/NXT’s data infrastructure and analytics platform
• Enable accurate, trustworthy data for analytics and reporting

Senior Data Engineer building reliable data infrastructure for GLS/NXT’s logistics technology products

Senior Data Engineer strengthening reliable pipelines, models, and warehouse architecture for GLS/NXT’s logistics and eCommerce technology products. Enabling trustworthy analytics and reporting.

• Independent development and enhancement of software components in the areas of Data Engineering, Analytics, and Cloud
• Design, implementation, and optimization of data pipelines, interfaces, and data-driven applications
• Contribution to architecture decisions, data models, and technical solution concepts
• Implementation of cloud-based data and software solutions on platforms such as AWS, Microsoft Azure, GCP, or OCI
• Analysis of complex technical requirements and translation into robust, scalable, and maintainable solutions
• Working with relational and/or NoSQL databases
• Quality assurance, testing, code reviews, and technical documentation
• Close collaboration with clients, project teams, and internal stakeholders
• Technical mentoring and support for less experienced colleagues in the team

Senior Data Engineer developing cloud and analytics solutions for ADEAL Systems’ consulting clients

Senior Software Engineer, Data & Cloud / Senior Data Engineer

Senior Data Engineer building scalable cloud, data pipeline, and analytics solutions. ADEAL Systems delivers software, data, and analytics consulting services for business clients.

• Drive the end-to-end development and maintenance of our footfall data products.
• Design, build, and improve scalable data pipelines for ingesting, transforming, and processing large datasets.
• Work on data product design, evaluating methodologies, data quality, and analytical approaches to improve our products.
• Analyze complex technical problems and develop efficient, maintainable solutions.
• Identify opportunities to automate manual workflows and improve existing processes.
• Ensure data processing workflows are reliable through testing, monitoring, logging, and error handling.
• Build reproducible data processing systems with clear documentation and data lineage.

Data Engineer/ Data Scientist developing location intelligence solutions at Targomo

Data Engineer / Data Scientist

Data Engineer/ Data Scientist focusing on footfall data products for Targomo. Driving data product development and maintenance with a hands-on approach to analytical challenges.

• Support the build, integration, and deployment of software products that enable the creation of data-driven, superior Health insurance solutions.
• Develop visualizations to communicate insights from risk modeling calculations
• Support data quality initiatives by identifying, analyzing, and resolving data issues
• Implement scalable data pipelines to support analytics and reporting projects
• Investigate and communicate best practices for AI-assisted software development

Working student Data Engineer supporting Health insurance data solutions

Working Student – Data Engineer

Working student Data Engineer at Allianz Digital Health, supporting data-driven Health insurance solutions. Focusing on data visualization and scalable data pipelines with a hands-on approach.

• Verantwortung für eine Datendomäne und enge Zusammenarbeit mit dem Fachbereich
• Anbindung neuer Datenquellen und Entwicklung automatisierter Datenpipelines
• Modellierung von Businesslogik für Analytics und Reporting
• Sicherstellung von Datenqualität, Monitoring und Dokumentation
• Mitgestaltung von Architektur, Standards und CI/CD
• Weiterentwicklung der Data Platform im Team

Data Engineer developing a data platform for the Popken Fashion Group in Oldenburg

Data Engineer at Popken Fashion Group in Oldenburg, designing data products for various business areas like E-Commerce and Marketing. Collaborating within the BI team to enhance the data platform.

Data Engineer jobs in Germany

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Data Engineer, Data Scientist

Senior Data Engineer – Data Foundation, Analytics

Enterprise Architect, Data Management

Data Engineer

Senior AI/ML/Data Engineer

Senior Cloud & Data Platform Engineer

Lead Data Engineer, PLM

Scientific Data Architect

Principal Data Platform Engineer – Swedish Ad Platform

Principal Data Platform Engineer – Swedish Ad Platform

Principal Data Platform Engineer – Swedish Ad Platform

Expert Data Engineer – Databricks

Senior Consultant, Data Engineering, SAP BW/SAP Datasphere

Senior Data Engineer

Data Engineer

Senior Data Engineer

Senior Software Engineer, Data & Cloud / Senior Data Engineer

Data Engineer / Data Scientist

Working Student – Data Engineer

Data Engineer