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Senior Network Engineer Infoblox
Senior network engineer administering, sustaining and evolving large-scale corporate DNS, DHCP and IPAM (DDI) services across hybrid on-premises/cloud infrastructure, centered on Infoblox NIOS/Grid, with automation via PowerShell, Python and REST APIs plus Azure/AWS integrations.
Senior Data Engineer AWS & Data Platforms
Senior Data Engineer designing, building, and optimizing scalable data pipelines and modern data platforms on AWS (S3, Glue, Redshift, Athena, Lambda), using SQL, Python, and Spark for ETL/ELT, Data Lake/Warehouse work. Hybrid or remote role; regulated financial-sector background is a plus.
Engenheiro de Dados Cloud Senior
Senior cloud data engineer who works in squads to automate and test compliance processes, building data workflows on Databricks (Python, Spark, PySpark, Unity Catalog) on Azure, GCP or AWS, and using GitHub Copilot for development, debugging, and automated code review.
Engenheiro de Dados Cloud Pleno
Mid-level cloud data engineer in São Paulo migrating data platforms from Teradata to Databricks Lakehouse, modernizing ETL/ELT pipelines, and processing CRM/marketing campaign data. Core stack: Python, PySpark, SQL, Spark, Unity Catalog, and cloud (Azure/AWS/GCP).
AWS Data Engineer (PySpark Redshift Iceberg Airflow)
Nível Acadêmico: Ensino Superior Completo Turno/Horas -- Áreas de Atuação Profissional: TI - Projetos Descrição: 'Graduação em Sistemas de Informação, Ciência da Computação, Engenharia de Dados ou área relacionada;…
Développeur Data Engineer / Big Data (H/F)
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 situation de…
BI & DATA ENGINEER
Hands-on BI & data engineer on a two-person data team: builds extraction pipelines from vendor/internal systems into Azure (Data Factory, Azure SQL), models data in layered SQL, publishes Power BI reporting, and automates manual Excel-based finance/ops reports.
Data analytics engineer
Data analytics engineer at Meat&More, a Belgian food company, joining a 9-person BI team to translate business needs into reusable datasets, ETL pipelines, and data models, primarily using Databricks, Azure Data Factory, SQL, and Python to support advanced analytics, ML, and AI initiatives.
BI & Data Engineer
Builds and manages the Power BI platform, semantic data models, and scalable data pipelines for a fast-growing international environmental technology company (~450 employees, HQ near Roeselare, Belgium), translating stakeholder needs into reliable data solutions and raising the company's data maturity.
Junior Data Engineer
Contract role for a junior/mid-level data engineer at Invene, a remote-first U.S. healthcare software consultancy. You'll build ETL/ELT pipelines and data models (Microsoft Fabric, PySpark, SQL) across varied client projects, working with AI coding tools like Claude Code or Codex.
Technical Product Manager
Product manager at an early-stage AI company building an AI-powered data platform for data engineering teams. Defines roadmap from customer discovery, works with UX and engineering to ship GenAI features, and supports sales and marketing. Hybrid in Sunnyvale; requires modern data stack (dbt, Snowflake, Spark) and LLM/RAG experience.
Data Engineer - Snowflake, DBT, Azure
Contract data engineer at a London investment management firm, helping design and evolve its cloud data platform: Snowflake modelling with DBT on Azure, ETL/ELT pipelines and orchestration, CI/CD, and migration to a new investment-platform data model.
Senior Data Engineer Job Details | BBC
Senior Data Engineer in the BBC's Audience Data team, designing, building and maintaining scalable AWS-based data pipelines and integrations with CDP, CRM and marketing platforms to support audience insight and decision-making. Core stack includes Apache Airflow, Python, SQL, bash/linux and Amazon Redshift.
Data Engineer – MS Fabric Integration
Data engineer recruited via Adecco to build and optimise a Microsoft Fabric data platform for a Lancashire employer (hybrid, Preston). Day to day: designing scalable pipelines and data models, improving data quality/governance, and replacing manual spreadsheet processes using Fabric, SQL, Python and Power BI.
Data Engineer: Cloud Pipelines, ML & Analytics
Data engineer at Curve Analytics in London building cloud data pipelines, data models, and analytics solutions with Python, PySpark, and SQL across Databricks, Snowflake, and AWS, while supporting global analytics programmes and helping productionise ML models and APIs.
Director of Data Engineering
Director of Data Engineering owning WGSN's data platform — its architecture, data models and day-to-day operations. Leads a team of five data engineers, builds the 'trend spine' linking trend signals, taxonomies, forecasts and content, integrates social/search/imagery data, and lays AI-ready foundations for upcoming data products.
Data QA Lead: Quality Champion for Data Pipelines
Leads quality assurance for Rising Tide Digital's data engineering team in Mandaluyong: designs QA strategies, mentors testers, and ensures robust data pipelines. Core stack includes SQL, Python, hands-on ETL/ELT testing, Azure DevOps, and Agile/Scrum.
Senior AI Analytics Engineer
Senior engineer who spends the day writing and shipping production code for an AWS-based AI platform: extraction pipelines, Bedrock agents, RAG/knowledge-base retrieval, natural-language-to-SQL, and graph queries. Core stack is Python/TypeScript plus Lambda, Step Functions, DynamoDB, OpenSearch, Athena, and Neptune.
Data Warehouse Engineer (m/f/d)
Builds and maintains the company's data warehouse, semantic models, and ELT data pipelines to enable reliable reporting, analytics, and business decisions at Quentic (AMCS's EHS/ESG SaaS platform). Day-to-day centers on SQL, data modeling, pipeline optimization, and supporting BI reporting with tools like Power BI/Tableau/Looker.
Intermediate Data QA Engineer
Data QA engineer at Axos (a US digital bank) working in a delivery team under a Data QA Lead: designing and running data validation, integration, regression and source-to-target tests across SSIS, dbt, Fivetran, Python and Databricks pipelines, logging defects in Azure DevOps, and building automated regression checks.