90 Data Engineer jobs in Germany available for remote work from home. Apply for positions such as Data Engineer, Data Engineer, Data Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will maintain and evolve the data lake architecture while creating robust pipelines to ingest machine telemetry. Additionally, you will collaborate with software engineers to ensure proper system instrumentation and provide actionable insights through data analysis.
The Senior Data Engineer will design and implement data pipelines from key CRM and ERP sources, ensuring the reliability of data for AI-driven workflows. Responsibilities include overseeing data architecture, establishing feedback loops, and delivering advanced analytical products.
Build and maintain scalable data pipelines, transformations, and reporting models using dbt, SQL, Python, and Snowflake. Collaborate with stakeholders to define metrics and implement data quality monitoring to ensure reliable data products.
You will own the operational reliability and health of the data platform by managing SQL Server environments, Airflow pipelines, and data quality gates. Additionally, you will extend the platform, model new source domains, and act as a final quality check for AI-assisted code generation.
You will design and build ELT pipelines to move data from terminal operating systems into a centralized Azure-based platform. Additionally, you will develop transformation layers and maintain a standardized data model to ensure data quality and consistency across global terminals.
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You will own and develop the data warehouse, building reliable ETL pipelines and data models to serve as the company's single source of truth. Additionally, you will engineer the retrieval layer for AI agents and create reporting and forecasting tools to support leadership decision-making.
The role involves managing data collection and ingestion pipelines to support AI model training operations. You will collaborate with scientists and leadership to optimize data infrastructure and define the dataset roadmap for consumer and enterprise products.
The role involves managing data collection and ingestion pipelines to support AI model training at scale. You will collaborate with scientists and leadership to optimize infrastructure and define the dataset roadmap for future products.
The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists and leadership to optimize infrastructure and define the dataset roadmap for AI products.
The Senior Oracle Data Engineer will be responsible for developing and maintaining complex database solutions using Oracle technologies. They will also coordinate the development team and act as a technical liaison for project management and clients.
You will architect, develop, and manage the data platform to support efficient data ingestion, transformation, and accessibility. You will also collaborate with cross-functional teams to understand their data needs and build tools that enable data-driven decision-making.
The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists and leadership to optimize data infrastructure and define the dataset roadmap for AI products.
The role involves developing and maintaining data pipelines using Microsoft Fabric and Python while ensuring high data quality. Additionally, the candidate will create and automate business reports and dashboards using Power BI and Power Automate.
You will architect, develop, and manage the data platform to support efficient data ingestion, transformation, and accessibility. Additionally, you will collaborate with cross-functional teams to identify and address their specific data needs.
The Solution Engineer will support enterprise clients in the stable, secure, and performant operation of their data center networks, focusing on Cisco ACI migrations. Responsibilities include analyzing network infrastructure, implementing automation via Infrastructure as Code, and providing technical consulting for design and defect resolution.
The Senior Clinical Data Engineer will design, develop, and maintain scalable data pipelines to process and transform clinical and medical device data. They will collaborate with cross-functional teams to ensure data quality, consistency, and usability for statistical analysis and evidence generation.
The Senior Data Engineer will design and build scalable data pipelines to support analytics, automation, and AI-powered applications. They will collaborate with cross-functional teams to ensure data reliability, governance, and integration across the company's ecosystem.
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Act as the primary technical subject matter expert for Securiti AI solutions, supporting sales teams throughout the entire sales cycle. Lead technical discussions, deliver customized product demonstrations, and execute proof-of-concepts to address customer needs in data discovery and security posture management.
You will design and develop enterprise data warehouse solutions and data models using MS SQL Server and T-SQL. Additionally, you will manage ETL processes, ensure data quality, and collaborate with BI and analytics teams to provide reliable data structures.
The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists and leadership to optimize data infrastructure and define the dataset roadmap for AI products.
The Senior Data Engineer leads the design and optimization of complex data architectures and pipelines while ensuring data integrity. They also mentor junior team members and participate in governance and compliance meetings.
You will build and maintain automated data pipelines and develop algorithms to extract relevant information from websites and images. Additionally, you will manage the data infrastructure and create analytics reports for internal and external stakeholders.
You will build AI-driven products such as agents, chatbots, and automated data systems to enhance the company's educational platform. You will also collaborate with Data Platform and Analytics Engineering teams to ensure system reliability and performance in production.
You will own and improve monitoring, observability, and engineering standards across the data platform to ensure reliable pipeline health. Additionally, you will build internal tooling and support AI adoption to remove friction for data analysts and engineers.
You will design and build Big Data, Analytics, and AI platforms while managing data pipelines and cloud infrastructure. Additionally, you will lead engineering projects, mentor team members, and provide expert consulting to clients regarding technology stacks.
You will design and implement modern data architectures and develop optimized data pipelines using Spark, Databricks, and cloud services. Additionally, you will ensure data governance and security while collaborating with cross-functional teams in an agile environment.
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You will design and implement modern data architectures and develop optimized data pipelines using Spark, Databricks, and cloud services. Additionally, you will ensure data governance and security while collaborating with cross-functional teams in an agile environment.
You will architect and operate large-scale ETL, streaming, and distributed data pipelines for vehicle telemetry and sensor data. Additionally, you will mentor engineers and drive technical solutions for complex data infrastructure challenges.
You will architect, operate, and evolve large-scale ETL and streaming data pipelines for vehicle telemetry and sensor data. Additionally, you will mentor engineering teams and integrate new data technologies to enhance system scalability and performance.
Lead and review the electrical design of hyperscale and mission-critical data centres across all project phases while managing multidisciplinary external consultants. Oversee utility coordination, permitting, and integrated systems testing to ensure project delivery meets design intent and operational requirements.
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