SQL roles open to Germany.

5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role

• Lead
• AWS
• Azure
• Java
• +5

5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role

• Lead
• AWS
• Azure
• Java
• +5

Work across the entire Linux stack, from kernel, networking, storage, to applications,

• AWS
• Azure
• GCP
• +4

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,

• Lead
• AWS
• Azure
• CI/CD
• +4

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,

• Lead
• AWS
• Azure
• CI/CD
• +4

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,

• Lead
• AWS
• Azure
• CI/CD
• +4

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,

• Lead
• AWS
• Azure
• CI/CD
• +4

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,

• Lead
• AWS
• Azure
• CI/CD
• +4

Developing and maintaining processes for handling large volumes of data using state of the art tooling like BigQuery, Airflow and dbt.

• Senior
• GCP
• Python
• SQL

Build and support data pipelines that ingest data from external systems

• Senior
• GCP
• Java
• LLM
• +3

3+ years working with production PostgreSQL databases

• Senior
• PostgreSQL
• Python
• SQL

Design, build, and maintain scalable MLOps infrastructure for machine learning and Generative AI applications.

• Senior
• AWS
• Azure
• CI/CD
• +6

Prototype ingestion and connector patterns (batch + streaming) using NiFi, Kafka, Kafka Connect/Streams, and CDC approaches.

• Middle
• Kubernetes
• Python
• SQL

Design und Implementierung kompletter ETL/ELT-Pipelines – von der Ingestion bis zum konsumierbaren Datenprodukt

• Senior
• Azure
• Salesforce
• SQL

Cultivated a community of more than 650,000 active developers and builders

• Senior
• CI/CD
• Python
• SQL

Build and scale data pipelines for product events, usage data, and customer datasets.

• Middle
• PostgreSQL
• Python
• SQL

Own the full lifecycle of predictive models in production — architecture, training pipelines, inference infrastructure, deployment, and ongoing model health

• Senior
• Python
• SQL

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.

• Middle
• AWS
• CI/CD
• GCP
• +4

Own the reliability, availability, and accuracy of our data infrastructure, ensuring compliance with data privacy standards

• Senior
• AWS
• Python
• Snowflake
• +1

Implementation, and documentation of MBS loan data and securitized products data to be leveraged for research, model calibration, model execution, and interactive applications.

• Senior
• Python
• SQL

Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.

• Middle
• Azure
• Python
• Spark
• +1

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.

• Senior
• LLM
• Python
• Salesforce
• +1

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.

• Middle
• AWS
• Azure
• GCP
• +5