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We are looking for brilliant engineers to join Monq. We’re pushing the boundaries of AI with next-generation agentic systems that autonomously negotiate high-value enterprise contracts in a $4.2T strategic procurement…
About the Role We are seeking a talented and driven Data Engineer to join a forward-thinking organisation where data sits at the heart of decision-making. You will design and build scalable, high-performance data…
Citywire's data platform powers products across the company, both internal and external, from our industry ratings to our growing estate of production AI systems. We're hiring a Data Engineer to help build the…
Data Engineer building end-to-end data pipelines, owning data quality, and evolving the data platform architecture at a veterinary health-tech startup. Core stack includes Python, Apache Spark, AWS, Docker, and Airflow.
Job Description Joining Busuu means being part of one of the top EdTech companies in the world, a multiple award‑winner recognised for its innovation and impact in language learning. Busuu’s vision is to empower people…
RSSB приглашает опытного data engineer для обеспечения качества и доступности данных, разработки пайплайнов и API на Python. Ваша работа будет включать планирование решений, работу с Airflow, Databricks и…
Data Engineer building scalable ETL pipelines and data processing solutions on AWS (Redshift, S3, Glue, Lambda) using Python, SQL, Airflow, and Spark for a major UK organisation's large-scale transformation programme.
Lead Python Developer building web scraping and browser automation solutions using Python, Playwright, and AWS serverless services (Lambda, Step Functions, S3) for a financial technology platform.
Builds and deploys Python-based web scraping tools using Playwright and AWS Lambda to extract data from secure portals, handling MFA and CAPTCHAs.
Senior Software Engineer at Voyager Technologies designing and building scalable geospatial data systems, especially for Synthetic Aperture Radar imagery, to support national security and space missions using Python, C++, and cloud tools.
Builds and maintains geospatial software systems, focusing on processing and visualizing large-scale SAR imagery datasets for national security and defense applications using Python and Linux.
Data engineering internship in Jakarta working on in-house data platforms, ML services, and cloud ops using BigQuery, Airflow, Kubernetes, and Terraform on GCP.
Lead a data engineering team to design, build, and maintain scalable ETL/ELT pipelines and data warehouses for a top Indonesian bank.
Senior Software Engineer in Data building data infrastructure and products at an Indonesian fintech, collaborating with international and local teams. Core stack centers on Java, Python, or Node.js with a preference for GCP/AWS, Apache Beam, DBT, Airflow, and big data warehousing tools.
An internship assisting senior engineers in executing small-to-medium data engineering projects, contributing to APIs, scripts, and bug fixes while learning fintech-focused data platforms (BigQuery, Airflow) and DevOps tools (Kubernetes, Terraform) on Google Cloud.
Builds and maintains data pipelines, governance, and analytics layers to enable predictive/prescriptive modeling in a FinTech context, using dbt, cloud warehouses, and BI tools.
Design, build, and operate cloud-native data platforms across AWS and Azure using Databricks and Microsoft Fabric, covering the full data lifecycle from ingestion through transformation, modelling, and serving to enable analytics and AI use cases.
Data Engineer building and maintaining real-time and batch data pipelines for financial analytics and payments within an iGaming company's fintech ecosystem, using SQL, ETL/ELT workflows, and streaming platforms like Kafka.
The AI Platform Engineer will build and maintain production infrastructure for AI models, focusing on deployment, monitoring, and automation within media workflows. The role utilizes MLOps practices, Python, and cloud technologies to ensure reliable, scalable AI service delivery.
This role involves building and scaling a strategic data platform using Python and AWS serverless technologies to support enterprise data integration and pipelines. The engineer will design backend services and data processing frameworks while collaborating with cross-functional teams to deliver trusted data products.
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