Data Engineer
Codest Ltd. Company No. 12590542, VAT number: GB363431020 · Data Science
Developing and maintaining processes for handling large volumes of data using state of the art tooling like BigQuery, Airflow and dbt.
Revisa roles remotos de TI que aceptan candidatos en Alemania.
Esta página reúne roles remotos abiertos para candidatos en Alemania. Así evitas perder tiempo con posiciones que parecen remotas, pero restringen contratación por país, zona horaria, nómina o política interna.
Combina país y tecnología para comparar cargos por stack, seniority, países aceptados y preparación para aplicar.
Codest Ltd. Company No. 12590542, VAT number: GB363431020 · Data Science
Developing and maintaining processes for handling large volumes of data using state of the art tooling like BigQuery, Airflow and dbt.
Orcrist Technologies · Data Science
Prototype ingestion and connector patterns (batch + streaming) using NiFi, Kafka, Kafka Connect/Streams, and CDC approaches.
Malvern Panalytical · Data Science
Data Architecture & Pipeline Engineering: Architect, build, and operate resilient data pipelines integrating Salesforce, SAP, and service data into highly governed analytical and operational data products.
Teravision Technologies · Data Science
Fully remote position.
Athos Commerce · Data Science
A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems
Nebius · Data Science
Design, develop, and maintain scalable data pipelines.
Anteriad · Data Science
Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.
8allocate · Data Science
Implementation, and documentation of MBS loan data and securitized products data to be leveraged for research, model calibration, model execution, and interactive applications.
Saga · Data Science
Build and scale data pipelines for product events, usage data, and customer datasets.
7+ years in data engineering
SparePartsNow GmbH · Data Science
Konzeption und Umsetzung moderner Datenpipelines: Du entwickelst und optimierst Batch- und Streaming-Datenpipelines und sorgst dafür, dass Daten zuverlässig, performant und skalierbar verarbeitet werden.
n8n · Operations
Cultivated a community of more than 650,000 active developers and builders
GOAT Group · Data Science
Own the reliability, availability, and accuracy of our data infrastructure, ensuring compliance with data privacy standards
Sport Alliance GmbH · Data Science
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.
Dotworld
Q3 2026 - from September, 3-month notice period accepted
3Pillar Global · Data Science
Design and implement advanced PostgreSQL schemas with row-level security (RLS) for multi-tenant applications.
Hone Health · Data Science
Design and build medallion architecture in dbt and Microsoft Fabric to enhance data analytics capabilities.
3Pillar Global
Understanding the business requirements
Design and deliver product data products on Databricks — owning ingestion, transformation, and serving layers across the medallion architecture (bronze/silver/gold) to produce certified datasets consumed across product, analytics
Robots & Pencils · Data Science
Define data architecture and platform strategy, leading design across pipelines, warehouses, and data lakes
DoiT International
System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
DoiT International
System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
MLabs · Data Science
Data Platform & Pipeline Engineering: Design and operate scalable, near real-time data pipelines for payment and platform data.
Sparteo
FT1000 ranking – Among the fastest-growing European companies in 2024 & 2025
Amplemarket · Data Science
Design and implement data pipelines for the collection, storage, and transformation of data from a variety of sources
Pearl Talent · Data Science
3+ years working with production PostgreSQL databases
GROPYUS · Data Science
Design, build, and maintain core data platform components, including ingestion frameworks, transformation pipelines, and data storage layers
AB InBev · Data Science
Knowledge of Azure cost drivers (AWS/GCP is a plus).- Ability to prioritize initiatives by ROI and business impact.- Strong problem-solving and execution in fast-paced environments.
Canonical · Commercial Systems
Accountability for the design and development of an internal product
VirtusLab
Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.
VirtusLab
Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.
MongoDB · Solutions Consulting
5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role.
MongoDB · Solutions Consulting, Growth EMEA
5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role
MongoDB · Solutions Consulting, Growth EMEA
5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role
Canonical · Field Engineering
Work across the entire Linux stack, from kernel, networking, storage, to applications,
Canonical · Commercial Systems
Accountability for the design and development of an internal product
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
Enfuce · Data Science
Design, build, and maintain scalable MLOps infrastructure for machine learning and Generative AI applications.
Lemon.io · Development
The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.
Orcrist Technologies · Developer
Ship React/TypeScript map workspace features (layers, annotations, timelines, overlays).
GOAT Group
Own the full lifecycle of predictive models in production — architecture, training pipelines, inference infrastructure, deployment, and ongoing model health
Tinybird · Developer
Enhancing high availability and elasticity so the system can scale automatically and efficiently as our customer base grows. It should make capacity decisions transparently and safely, without manual intervention.
Ensemble Health Partners · Data Science
Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.
Lemon.io · Development
The rate depends on your skills and experience. We've already paid out over $11M to our engineers.
Design, build, and maintain high-quality data pipelines and data models from scratch within a data mesh architecture, ensuring reliability, scalability, and clear ownership.
3Pillar Global
Design, implement, and maintain cloud-native platform to support AI and data workloads, with a focus on AI and data platforms such as Databricks and AWS Bedrock.
KinderCare Education, LLC
Databricks-Native ML Development: Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, AutoML
Orcrist Technologies · Data Science
Build ML prototype vertical slices that connect ingest/processing to inference and visible product outcomes (search, insights, UX flows).
Frame ambiguous business problems as well-posed modeling, inference, or optimization tasks, and choose methods that fit the data and the decision.
Lead the design and implementation of scalable ML systems, including supervised, unsupervised, and LLM-based solutions
Teneo Online School · Developer
Build and maintain backend services, APIs, webhooks and integration services.
Lemon.io · Development
4+ years of software development experience
Lemon.io · Development
The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.
Lemon.io · Development
The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.
Lemon.io · Development
The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.
Lemon.io · Development
The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.
Lemon.io · Development
The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.
Lemon.io · Development
The rate depends on your skills and experience. We've already paid out over $11M to our engineers.
Perplexity · AI Research & Systems
Build the systems and pipelines that enable Search, Product, and other teams to independently access and utilize reliable eval verdicts without bottlenecks
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