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Teamleitung (m/w/d) – Datenmanagement | Data Engineering
Leads a data-management team at a fintech that builds risk-measurement and analytics solutions for banks, overseeing data pipelines and engineering practices.
Reservoir & Production Engineer - Data Analytics (all genders welcome)
Develops cloud-based software and AI models to analyze real-time flow data from energy production systems, optimizing upstream operations.
SAP Data Analytics Engineer (m/w/d) SAP Datasphere, SAP Analytics Cloud, Data Modeling
Builds and maintains SAP-based data models and analytics in Datasphere and Analytics Cloud for a global chemical distribution and production group.
Senior Data Engineer - Entwicklung & Optimierung / Technische Governance (a*)
Builds and optimizes data pipelines and analytics platforms using Python, PySpark, SQL, Azure, and Databricks to support energy-grid operations and governance.
Java Backendentwickler (m/w/d) Schwerpunkt IAM in Hamburg, 80% remote
Backend developer building and maintaining Java/Spring Boot IAM components for a government client in Hamburg, with 80% remote work.
Senior Backend Engineer - Health Data Platform & APIs
Builds and maintains the core health-data platform, ingesting and normalizing fitness and medical data while exposing secure APIs for downstream analytics.
Front End Developer – UI (React/TypeScript)
Build low-latency React/TypeScript trading interfaces that visualize real-time market data for a Tier 1 investment bank, migrating legacy Angular apps and optimizing browser performance.
Senior Java Backend Engineer — Real-Time Personalisation
Build low-latency Java/Spring Boot microservices and event-driven pipelines (Kafka, Flink) to power real-time personalization across Tesco’s web, mobile, and in-store channels.
Backend Software Developer
Builds and maintains .NET and Kotlin services that process millions of financial data points daily, using Kafka and Kubernetes to deliver real-time trading analytics.
Senior Frontend Software Engineer
Build and maintain React-based web apps and reusable client layers for AI-powered decision-support tools, integrating with REST/gRPC services and deploying on Google Cloud/Kubernetes.
Backend Software Developer
Builds and maintains .NET and Kotlin services that process real-time energy-trading data, using Kafka and Kubernetes to power a customer-facing analytics platform.
Lead DevOps Engineer - Cloud Native, Linux, Python, AWS
Lead a DevOps team to build and maintain cloud-native trading infrastructure using Linux, Python, AWS, Kubernetes, and CI/CD pipelines for low-latency electronic trading systems.
Kernel Backend Engineer - Core Graph DB
Builds and optimizes the core graph database engine at Neo4j, solving low-level data storage and query challenges in a high-performance distributed system.
Lead DevOps Engineer - AWS, Kubernetes, Terraform
Lead a DevOps team to build and maintain secure, scalable trading and analytics platforms using AWS, Kubernetes, and Terraform in JPMorganChase’s Electronic Trading Group.
Backend Developer
Build and optimize microservices, APIs, and ETL pipelines for a UK fintech startup using Laravel/PHP, MySQL, and AWS.
Senior Back-End Engineer
Build and own backend features for a global language-learning platform using Python/Django, integrating third-party services and guiding technical decisions in a fast-paced, data-driven environment.
On Lead Backend Engineer (Typescript)
Lead backend engineer building and scaling a customer communication platform using Ruby, Node.js (TypeScript), and event-driven systems to power personalized consumer experiences across On’s ecommerce touchpoints.
Senior DevOps Engineer
Senior DevOps Engineer designs and manages GCP-based cloud infrastructure and CI/CD pipelines for client data analytics projects, automating deployments and ensuring scalable, secure systems.
Data Engineer – Value & Analytics
Build and maintain data pipelines and dashboards to measure product performance and customer behavior for a global education and cultural organization.
Risk Control Data Engineer
Build and optimize data pipelines and warehouses for JD.com’s e-commerce risk control systems using Hadoop, Spark, and Flink.