Tech jobs
Job listings
Senior Data Engineer – Secure Defence Data Platform
Build secure data pipelines and platforms for defence using Python, Spark, Kafka, and Kubernetes in a hands-on role.
Data Engineer
The Data Engineer will design, build, and optimize scalable ELT pipelines and data models using Snowflake, dbt, and Python. The role involves applying software engineering best practices to data development while collaborating with stakeholders to deliver impactful data products.
Staff Data Engineer
Lead the design and evolution of MoonPay’s data platform, building scalable pipelines, governance, and ML enablement while partnering with engineering and compliance teams.
Data Engineer – Snowflake
Build and maintain Snowflake data pipelines and models for a fintech payments company, using Streams, Tasks, and Dynamic Tables to create BI-ready datasets.
Data Engineer
Build and own data pipelines that ingest, reconcile, and normalise fragmented police-force data into a unified, secure system for AI-powered policing.
DevOps Software Engineer
Build and deploy healthcare analytics pipelines and integrations using Python, Docker, and cloud platforms to deliver precision-medicine solutions across partner environments.
DevOps Engineer (Cloud Infrastructure & Data Platforms)
Owns and optimizes AWS cloud infrastructure for real-time financial market-data products, including streaming APIs, client platforms, and data pipelines, using Terraform, Kubernetes, Kafka, and observability tools.
Java Developer
Senior Java Developer maintaining and evolving international backend solutions using Java, Spring Boot, microservices, and cloud-native architectures with Kubernetes and Kafka.
Python Developer for AI-Driven Integrations
Build and maintain AI-driven integration pipelines using Python, Airflow, and Claude Code to power a global SaaS platform.
Python Developer, Madrid España
Desarrolla y mantiene la plataforma de integraciones de Fracttal en Python, optimizando flujos con IA nativa y asegurando escalabilidad y seguridad en las conexiones con sistemas externos.
Senior Data Platform Reliability Engineer (L3)
Senior Data Platform Reliability Engineer (L3) at Tata Consultancy Services ensures reliability, performance, and stability of the enterprise data platform, troubleshooting workflows and driving operational excellence across Databricks, Airflow, and DBT environments.
Data Engineer - L3 Support
L3 support engineer troubleshooting and optimizing Databricks, Airflow, and DBT workflows to maintain enterprise data platform reliability, performance, and stability.
Data Engineer (Platform / Product Data)
Builds and scales data pipelines, warehouses, and infrastructure to power AI, EdTech, and AdTech products with reliable, clean datasets.
Manager Data Engineer (m/w/d)
Leads the design, development, and optimization of a scalable data warehouse and ETL/ELT pipelines, ensuring robust data infrastructure for business needs. Focuses on data modeling, tool selection, and integrating AI-driven automation while mentoring the team.
Data Platform Engineer 80-100%
Builds and maintains the hospital’s data and integration platforms (DPoP, MuleSoft Anypoint) on VMware-vSphere, focusing on DevSecOps automation, security, observability, and scalability for data/API engineers.
Data Platform Engineer 80-100%
Build and operate the hospital’s data and integration platforms, automating pipelines and ensuring secure, scalable infrastructure for analytics and APIs.
Data Platform Engineer 80-100%
Build and operate the hospital’s Data Platform of Platforms and Integration Platform, automating data pipelines and APIs on a private VMware-vSphere stack to enable a digital hospital.
Senior Data Platform Reliability Engineer
Senior engineer maintains and improves production data platforms on Kubernetes across on-prem, AWS, and GCP, using GitOps and observability tools to ensure reliability and scale.