Data Engineer (Apache Flink)
Design and operate high-volume, low-latency real-time data systems using Apache Flink as the core engine. Build and maintain high-scale streaming data pipelines on self-managed on-premise infrastructure.
Remote Data Engineer Jobs in Germany (153)
Data Engineer (Apache Spark)
Design and operate high-volume analytical data systems end to end using Apache Spark. Build and maintain high-scale batch and near-real-time data pipelines on self-managed infrastructure.
Senior Data Engineer (Databricks) (m/w/d)
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.
Senior Data Engineer - Web Scraping
Design, implement, and maintain web scrapers to collect alternative datasets while performing data cleaning and transformation. Collaborate with cross-functional teams to build efficient data processing workflows and maintain alerting systems for data integrity.
Principal Electrical Design Engineer – Data Centres
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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Senior Data Engineer - Azure 21 applicants
Design, build, and maintain scalable data pipelines while leveraging tools like Azure Data Factory and Databricks. Lead and mentor engineering teams while collaborating with cross-functional stakeholders to deliver comprehensive data solutions.
Data Engineer - fully remote (working hours 5am-2pm CEST) (m/f/d)
You will own the operational health of the data platform by monitoring overnight processing, resolving failures, and maintaining orchestration layers. Additionally, you will extend the platform by modeling new source domains and implementing automated data quality gates to ensure reliability.
Data Scientist / Data Engineer
Build and maintain auditable data pipelines for clinical and medical imaging datasets while performing statistical analysis for model evaluation. Develop data observability tools and ensure data integrity for regulatory submissions and clinical audits.
AI Engineer (Data Guardrails & LLM Ingestion Pipelines) 14 applicants
Design and build scalable data ingestion, cleaning, and LLM enhancement pipelines to power AI applications. Implement AI guardrails and RAG architectures to ensure the accuracy and reliability of AI-ready datasets.
Intermediate Data Engineer with Power BI Skills
Design and maintain scalable data pipelines using Databricks to support HR and People Analytics. Develop interactive Power BI dashboards and optimize data models to provide actionable workforce insights.
Senior Mechanical Engineer - Data Centers
The Senior Mechanical Engineer will design solutions and perform calculations for large technology companies and mission-critical clients. Responsibilities include writing technical reports, preparing documents, and coordinating with internal teams and clients.
Data Engineer – AI-Driven Data Platforms
Build and scale data platforms for AI-driven analytics using high-volume sensor, satellite, and third-party data. Own end-to-end data pipelines from real-time ingestion to analytics while ensuring data quality and performance.
Senior Data Engineer – Data Quality & Observability | Remote 1789
Lead the implementation of a scalable data quality and observability framework using GX Core to detect and prevent data issues. Design automated validation checks, maintain data lineage, and integrate quality validations into CI/CD pipelines.
AI-First Data Engineer (m/f/d)
Build and optimize cloud-native data pipelines on AWS using AI tooling to power analytics and ML systems. Design data models and implement governance and testing to ensure high data reliability and auditability.
AWS Cloud Data Engineer (m/f/d)
Design and maintain scalable ETL pipelines and an AWS-based data lake to process massive daily transaction volumes. Drive data lake adoption across teams and contribute to the scaling of a GenAI platform integrated into the data ecosystem.
Senior Data Engineer (Dataiku DSS) 11 applicants
Design, develop, and deploy scalable data pipelines and ETL/ELT processes using the Dataiku DSS platform. Support a large-scale enterprise data lakehouse migration while collaborating with international business and technical stakeholders.
Senior Data Engineer
Architect and maintain the data model, pipelines, and access layers to support healthcare operations and analytics. Lead technical engineering best practices and ensure data quality and governance across the platform.
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Data Engineer (Snowflake & DBT)
Design and optimize robust data pipelines and scalable warehousing architectures using Snowflake and dbt. Collaborate with stakeholders to transform raw data into actionable models for manufacturing and supply chain workflows.
Azure Data Engineer / Datawarehouse Developer / BI Developer
Develop and maintain the Enterprise Data Warehouse and standard dashboards for a Global Business Intelligence Team. Provide data support for business self-service and data analysis activities.
Senior Data Engineer
Design and maintain scalable ETL/ELT pipelines to extract and load data from sources like Oracle. Create and optimize data models in Snowflake and Redshift to support AI/ML solutions and business objectives.
Senior Data Engineer
Design, develop, and deploy bots using Automation Anywhere A360 and Excel VBA macros. Collaborate with stakeholders to identify automation opportunities and maintain documentation such as PDDs and SDDs.
Data Engineer with Salesforce
Construct and maintain scalable data pipelines and workflows across Salesforce, Oracle ERP, and Azure Cloud. Collaborate with cross-functional teams to ensure data quality and support analytics and reporting needs for RevOps and GTM systems.
DI
DATA THINX: Cloud Analytics - (Senior) Data Engineer (m/w/d)
Develop modern analytics and AI solutions using the Microsoft ecosystem, from data foundations to productive business use. Design scalable data platforms and implement Generative AI scenarios such as LLMs and RAG to support business decision-making.
Sr. GCP Data Engineer (Job-ID 3301)
Design and maintain scalable batch and real-time data pipelines on GCP using Medallion Architecture. Develop high-performance data transformations and optimize complex SQL queries for large-scale analytical workloads.
(Senior) Data Engineer (gn)
Design and manage the end-to-end data platform architecture, from integration and transformation to data delivery. Lead the development of robust data pipelines and establish technical standards for data quality and modeling within Databricks.
(Senior) Data Engineer (gn)
Design and own the end-to-end data platform architecture, including ingestion, transformation, and serving layers. Lead the development of robust data pipelines and enforce data quality standards to power business-critical decisions.
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Sr Software Engineer, Data Science
Design, develop, and optimize AI/ML models and pipelines to power cybersecurity behavioral detectors. Collaborate with cross-functional teams to integrate these features into a scalable, fault-resilient platform.
Solution Engineer - Data & AI
Design and implement integration projects and scalable API strategies within complex enterprise architectures. Develop AI-supported end-to-end processes and establish best practices for intelligent automation.
Senior Data Engineer - Databricks (m/f/*)
Design and maintain scalable data pipelines on the Databricks Lakehouse Platform using Apache Spark and Delta Lake. Collaborate with cross-functional teams to optimize data workflows and implement best practices for data governance and security.
AI Data Engineer (m/w/d)
Develop AI/ML models and scalable data pipelines while designing production-ready AI architectures integrated into cloud environments. Take technical responsibility for projects, managing architecture design and coordinating with stakeholders to ensure technical excellence.
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