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About Starburst Starburst delivers enterprise intelligence at scale by giving organizations secure, governed access to all their data, wherever it lives. Built for distributed data environments, Starburst helps…
Lead Alpaca’s data governance program: set classification, access, and protection standards for its global brokerage-data lakehouse and analytics stack, ensuring compliance with financial regulations and partner requirements.
Engineering Manager leading the Compute and Storage team within NYT's Data Platform, managing engineers who build and run shared compute engines, lakehouse storage, streaming and orchestration infrastructure. Day to day: roadmap execution, architecture guidance, SLO/SLA and on-call practices, budgets, and partnering with teams that consume the platform. Core tech: Kubernetes, cloud infrastructure,
Build and maintain a self-service, AI-ready data platform for SumUp, focusing on scalable infrastructure, ETL, orchestration, and real-time analytics using modern tools like Snowflake, Airflow, and Kubernetes.
Designs, builds, and maintains scalable data integration pipelines and Python/FastAPI microservices powering enterprise Generative AI platforms — connecting legacy data stores (Hadoop, Starburst, PostgreSQL, MongoDB) to GCP/BigQuery and deploying low-latency RAG solutions with vector stores like PGVector — in a hybrid Kraków role for a global banking client.
Designs and maintains data integration pipelines and Python/FastAPI microservices for Generative AI platforms at a global banking client — connecting Hadoop, Starburst, PostgreSQL and MongoDB with GCP/BigQuery and building low-latency RAG services using vector stores like PGVector. Hybrid role in Kraków (2-3 days/week onsite), B2B contract via Randstad.
Principal backend engineer on Zscaler's Analytics team (Avalor) in Tel Aviv, designing and optimizing scalable, data-intensive microservices in Scala and Java/Spring Boot across stores like Snowflake, Trino, and Apache Iceberg. Also mentors junior engineers and partners with product, UX, and frontend teams from inception to production.
Senior SRE at CluePoints, a Belgian scale-up making Risk-Based Quality Management software for clinical trials. You own the Azure/AKS platform end to end — Terraform, Argo CD GitOps, observability, managed databases, security and cost optimisation — while leading incidents, on-call and cross-team technical initiatives.
Data platform engineer at Meituan building AI-augmented data infrastructure: LLM/Data Agents for SQL generation, metric lookup, and data QA, plus OLAP query services (StarRocks, ClickHouse, Doris, Trino) and Flink-based real-time pipelines. Day to day spans Java/Go/Python engineering, real-time computing, and AI Agent engineering work.
Location: Hybrid, Iselin, NJ Medidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week following Company policy.…
Company Description NCS is a leading technology services firm that operates across the Asia Pacific region in over 20 cities, providing consulting, digital services, technology solutions, and more. We believe in…
Role Summary You are an autonomous AI Engineer, responsible for creating the harness for designing and building the AI harness, agent framework, and reusable engineering components required to operate a modern data…
RESPONSABILITÉS : Nous recherchons un(e) Architecte Expérimenté(e), passionné(e) par la technologie, pour travailler soit en interne, en collaborant de manière transversale sur divers projets passionnants, soit…
Key Responsibilities Design, develop, and maintain scalable data platform solutions across AWS and hybrid/on-premises environments. Build, optimize, and support production-grade data pipelines using Python, PySpark,…
Nagyméretű adatkészletek feldolgozását és elemzését támogató megoldások fejlesztése, Adatintegrációs, ETL/ELT- és adattranszformációs folyamatok kialakítása és optimalizálása, Data Lakehouse architektúrához kapcsolódó…
Job description: Own the end-to-end architecture and technical roadmap for the Lakehouse platform, including data products, data marketplace, knowledge layer, and agentic workloads. Define target architecture, reusable…
Description du poste : En tant qu'organisateur de forums de recrutement, Talents Handicap accompagne de très nombreuses entreprises & organisations en France dans leurs recrutements de collaborateurs en…
Data Platform Engineer at Macquarie Group's Data Services team in London, designing, building, and optimising a petabyte-scale cloud data lake and platform serving trading teams. Core stack is AWS (S3, EKS, Glue, Airflow, Trino, Redshift, Parquet, upcoming Iceberg) plus Python, SQL, and DevOps/CI-CD automation.
Early-career-friendly engineer role on Zema Global's Data Surface team, building and maintaining the company's AWS Lakehouse: data ingestion pipelines (DynamoDB/Oracle to Apache Iceberg), Bronze-Silver-Gold Spark transformations, batch/streaming workflows, and data-access APIs. Core stack: Python and/or Java/Scala, AWS (S3, EKS, Lambda, Glue), Spark, SQL. Hybrid London role (8 office days/month),
Senior Data Engineer in Dubai who leads the design, build, and optimization of batch and real-time data pipelines, owning data modeling, ingestion, and lakehouse platform reliability while mentoring the team. Core stack: dbt, Airflow, Spark/PySpark, Dremio/Iceberg on S3, Python, advanced SQL, and hands-on NoSQL stores.
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