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Hands-on technical leadership role designing scalable Java-based systems across enterprise, IoT, and data-driven domains using Java 17+, Spring Boot, Spring Cloud, and microservices architectures.
Databricks-focused Data Engineer at a digital product consultancy, designing and building production data pipelines, Lakehouse architectures, and AI/ML foundations on Databricks for client engagements.
Lead a team to architect, scale, and maintain ID.me’s high-availability PostgreSQL and Identity Trust Graph databases while enforcing strict SRE practices and regulatory compliance for secure identity verification services.
Data Engineer building and maintaining scalable batch and real-time data pipelines for an IoT-enabled worker safety platform, using AWS data services, Python/SQL/Java/Scala, Kafka, Terraform, and AWS Glue.
Data Engineer building and maintaining real-time and batch IoT data pipelines using AWS services (Redshift, EMR, S3, Lambda, Kinesis, MSK), SQL, and Python/Java/Scala to deliver data to analytics and product teams.
Designs and maintains data pipelines, warehousing, and analytics tooling to monitor AI safety, detect misuse, and enforce safeguards at a leading AI lab.
Job Title: Senior Python Developer Contract type: Contractor Contract hours: Full-time Location: Remote (within 2 hours of London timezone) Salary: €60k - €70k About Adzuna Adzuna is a job search engine that lists…
Designs and maintains scalable AWS cloud data pipelines, ETL/ELT workflows, and ML integrations using PySpark, AWS Glue, and SageMaker while automating infrastructure with Terraform/Opentofu.
The Java Developer will build and maintain RESTful APIs and data pipelines for a major investment client using Java, Spring Boot, and various AWS services. The role requires working from the Campinas office three days a week and collaborating with international teams on regulatory-compliant financial solutions.
The Lead ML/AI Platform Engineer will own the end-to-end machine learning infrastructure, including training, model serving, and integration with Java microservices. The role focuses on driving the company's GenAI and agentic workflow strategy using AWS-based tools and open-source ML frameworks.
About Reward Reward, part of the Rezolve Ai Group, is transforming the way people, banks, brands and retailers connect through everyday commerce. Operating across 15+ markets throughout the UK, Europe, the Middle East…
This role involves building production-grade agentic systems and AI-ready data platforms for enterprise clients using Snowflake, dbt, Airflow, and LLM frameworks. The engineer will focus on unstructured data extraction, agent orchestration, and establishing evaluation practices for non-deterministic AI workflows.
The Data Platform Engineer will design, build, and maintain a declarative data platform to support ingestion, transformation, and consumption across the company. The role involves working with cloud data warehouses, orchestration tools, and infrastructure-as-code to ensure scalable and reliable data systems.
Backend Engineer builds and maintains financial systems handling payments, reconciliation, and compliance for a supply-chain platform in Berlin, using Java, Spring Boot, PostgreSQL, and AWS.
Backend Engineer building scalable supply chain systems in Java/Spring Boot, integrating logistics providers and AI workflows to optimize procurement and tracking.
Senior Backend Engineer builds and scales AI-driven supply chain automation systems using Java/Spring Boot, Python, and AWS, while mentoring peers in a fast-growing startup environment.
Senior Software Engineer building and scaling backend systems for customer onboarding, billing/metering pipelines, and revenue data integrations at Temporal, primarily using Go, PostgreSQL, ClickHouse, and Kubernetes.
Builds and leads backend systems for billing, metering, and customer lifecycle at a devtools company, using Go and cloud-native stacks to ensure revenue integrity and scalability.
Infrastructure Engineer managing AWS EKS Kubernetes environments and Terraform-defined cloud infrastructure, with heavy focus on migrating legacy Perl/Chef services to a container-first platform and maintaining CI/CD pipelines.
Lead a team of Data Architects and Engineers designing enterprise data architectures, canonical models, and integration strategies across federal mission environments using lakehouse, data mesh, and multi-cloud platforms (AWS, Azure, GCP).
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