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The Lead Data Engineer will design and deliver scalable data solutions on Microsoft Azure, building data pipelines and mentoring team members to support enterprise analytics and AI initiatives. This is a hands-on contract role requiring expertise in cloud data architecture and modern data engineering practices.
Mid-level Full-Stack Developer building and maintaining Bench Connect, a media technology platform, with a strong backend, data, and infrastructure focus using Go, PostgreSQL, AWS, Docker, and Terraform.
Lead data-science projects at a UK automotive marketplace, building ML-driven features like personalised recommendations, search improvements, and AI tools for listings while mentoring analysts and engineers.
The Staff Data Engineer will build and maintain GTM data foundations, entity-resolution, and enrichment pipelines for Salesforce and Marketo. The role utilizes dbt, Snowflake, Airflow, and LLM-enabled tools to support AI-driven customer support operations.
The Staff Data Engineer will build and maintain the data foundation for go-to-market operations, focusing on account identity, hierarchy modeling, and LLM-powered enrichment. You will work within the data team to integrate systems like Snowflake, Airflow, and Salesforce to drive sales and marketing efficiency.
чем предстоит заниматься: разрабатывать и доводить до продакшена модели компьютерного зрения, решать задачи речевой аналитики: транскрибация звонков, диаризация спикеров, извлечение сущностей и интентов, оценка…
Senior Data Engineer designing and building scalable data pipelines, driving cloud migration to Azure, and transforming large-scale datasets. Core tech: Azure Fabric, Azure Databricks, PySpark, Python, SQL, DBT, Snowflake, Docker, Kubernetes.
Builds and maintains scalable data pipelines, optimizes storage/retrieval systems, and collaborates with teams to integrate data solutions using Python, SQL, and cloud infrastructure.
Build multimodal embeddings and LLM-based representations for Reddit Ads, using NLP/CV models to power relevance, targeting, and ranking systems.
The Data Infrastructure & MLOps Engineer will design, build, and maintain scalable data pipelines and machine learning platforms to support Doodle's B2B SaaS products. The role focuses on automating infrastructure, ensuring system reliability, and enabling efficient model deployment using technologies like Python, SQL, and cloud-native tools.
The Data Engineer will design and optimize cloud-based analytics pipelines, build data models, and implement data quality measures. The role utilizes Azure SQL, Snowflake, BigQuery, Airflow, and Power BI to support analytics and product teams.
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.
Build and scale robust ETL/ELT pipelines and cloud data warehouses to process petabytes of user activity for a global social discovery platform.
The Senior Data Engineer will build and scale reliable ETL/ELT pipelines and design cloud-based data warehouse architectures. The role involves ensuring data quality and collaborating with cross-functional teams to transform raw data into actionable insights using tools like Python, SQL, BigQuery, and Airflow.
The Data Engineer will design, build, and maintain scalable data pipelines to support global supply chain and AI initiatives using Python, SQL, Snowflake, and DBT.
The Senior Data Engineer will design and maintain scalable data pipelines and customer-facing data products using PySpark, Airflow, and AWS technologies. The role involves working with complex SQL and geospatial data to support analytics and data enrichment across various cloud storage platforms.
The Senior Data Engineer will build and optimize scalable data pipelines across Snowflake, GCP, and Salesforce to support Go-To-Market revenue operations. The role involves developing ETL/ELT workflows, modeling data assets, and collaborating with cross-functional teams to ensure data quality and availability.
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.
Data Engineer building scalable batch and streaming pipelines, data products, and AI-facing integration layers (e.g., MCP servers) for an internal Agentic AI ecosystem using Python, SQL, dbt, orchestration tools, and cloud data platforms.
Bachelor s or master s degree in computer science, Information Systems, or a related field. 8 years of data engineering experience (at least 2 years in financial services or regulated environments). Expert knowledge of…
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