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Data Engineer building scalable data pipelines, APIs, and data products using SQL, BigQuery, and DBT on cloud infrastructure within an Agile team at a major insurance group.
Vivanti Consulting is seeking a Data Engineer to design and build data pipelines, data lakes, and warehouses for global clients. The role involves working with cloud technologies like GCP, Python, Spark, and Airflow in a collaborative consulting environment.
The Lead Data Engineer will build and scale a real-time event-streaming platform using Kafka, Flink, and ClickHouse while managing end-to-end data pipelines with BigQuery, dbt, and Python. The role involves setting technical direction, mentoring engineers, and ensuring high standards for data quality and observability.
Build and maintain scalable data pipelines and lakehouse systems for AI-driven analytics and ML at a consumer tech company with 97.8M users.
This role involves full-stack development for Equities and Cross Asset Financing trading platforms using Java, cloud infrastructure, and relational databases. The developer will work in an agile environment to build, test, and maintain scalable services while focusing on automation and production resilience.
Вимоги Практичний досвід самостійного управління SEO-проєктами від 3 років Вміння управляти фахівцями та процесами: координація SEO, контенту, розробки (dev) та лінкбілдингу. Робота з масштабними SEO-задачами,…
Data Engineer writing production Python pipelines, libraries, and APIs for Bain's Coro B2B analytics/GTM software suite, deploying to cloud platforms with CI/CD and IaC.
The Principal DevOps Engineer will lead the architecture, scaling, and reliability of the company's Azure-based AI-native cybersecurity platform. This role focuses on building robust CI/CD pipelines, managing containerized microservices, and driving SRE practices to support high-volume security data processing.
Designs and maintains secure, scalable data pipelines for federal agencies using cloud tools like AWS Glue, Databricks, and Spark, while ensuring data quality and compliance.
Design, build and maintain scalable ETL/ELT pipelines and GCP data infrastructure (BigQuery, Cloud Storage, Dataflow) to power AI applications, with a key focus on enabling Retrieval-Augmented Generation (RAG) systems.
This role is for a mid-level Data Engineer to design and optimize cloud-based data pipelines and warehouses on AWS while acting as a consultant to support presales and customer delivery. The position requires a blend of hands-on technical expertise in SQL, Python, and AWS services with strong communication skills to translate business challenges into scalable technical solutions.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and platforms to support AI and analytics initiatives. The role involves using SQL, Python, and cloud data warehouses while mentoring junior team members and ensuring data governance.
Senior Data Engineer building data infrastructure from scratch at an AI-first influencer marketing company, owning pipelines and warehouse architecture on GCP/AWS with BigQuery, dbt, Python, and Airflow/Dagster/Prefect to power AI agents, creator matching, and campaign attribution.
Builds and maintains data pipelines and products in a hybrid cloud environment (AWS/GCP) to power analytics across The New York Times, using Python, SQL, PySpark, and dbt.
The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that…
Technical Product Manager building data platforms to enable data-driven decisions, analytics, and user experiences at a journalism-focused company.
Senior Software Engineer at The New York Times builds and maintains systems for data privacy, governance, and compliance, including APIs, SDKs, and automated workflows for data classification, access control, and retention.
The Senior Software Engineer, Data Platform will lead the design and optimization of scalable batch and streaming data pipelines using Python, SQL, and AWS technologies. This role involves architecting enterprise cloud data platforms, managing ETL/ELT workflows, and utilizing AI-assisted tools to ensure system reliability and performance.
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