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Designs, develops, and optimizes cloud-based data platforms using Snowflake, SQL, and tools like Apache Airflow and dbt to build scalable ELT pipelines and support enterprise analytics.
Build and maintain Snowflake-based data pipelines using Apache Airflow and dbt, optimizing SQL queries and modeling data for analytics.
Lead the technical direction of analytics engineering for Vinted’s revenue, purchase, and orders domains, building scalable, maintainable data models and pipelines using SQL, dbt, and cloud platforms like BigQuery.
Leads data engineering teams to design, build, and optimize scalable data pipelines and lakehouse architectures on Databricks/AWS, ensuring platform reliability, cost efficiency, and cross-team alignment for business intelligence, analytics, fraud detection, and reporting at a global sports-tech company.
Senior data engineer builds and maintains a data platform for a Brazilian education company, using distributed processing, cloud infrastructure, and modern data stack tools.
Build and optimize a company-wide Data Lakehouse using Spark, Iceberg, and Hadoop to centralize B2C data, focusing on high-load batch and streaming pipelines.
We are seeking a Lead AI Engineer, Databricks, to design and build data engineering frameworks, reusable components, and best practices that empower hundreds of SAP Data Engineers to build AI-ready Data Products at…
As a Senior IT Developer (Data Engineer), you'll build data-driven solutions using Azure Databricks, Power BI, Microsoft Foundry, PySpark, SQL, Terraform, and Azure DevOps/GitHub, collaborating with stakeholders to translate business needs into scalable technical solutions.
Lead Data Engineer builds and maintains enterprise-scale data platforms using Azure Databricks and Microsoft Fabric to support analytics, AI, and ML in a Federal Government environment.
Data Architect in Lisbon focused on defining and implementing Data Governance and Data Quality frameworks, using cloud platforms (Azure/AWS/GCP), Microsoft Fabric, and Databricks.
Senior Business Data Analyst for a data modernisation program, covering data flow analysis, data quality, and LakeHouse/Data Warehouse projects with occasional project management duties.
The Senior Data Engineer will define and implement data governance and data quality frameworks, standards, and KPIs. The role involves collaborating with cross-functional teams to manage data lineage, catalogs, and quality monitoring using technologies like Microsoft Fabric and Databricks.
The Analytics Engineer will join the Data Platform team to build and maintain internal tooling, improve observability, and enforce engineering standards across Emma's data infrastructure. The role involves working with the full data stack, including AWS, dbt, and orchestration tools, to support data analysts and scientists.
Build and maintain Databricks-based Lakehouse architectures using Delta Lake and Medallion patterns to ingest, transform, and monitor environmental and climate data for a government agency.
Lead a greenfield data platform, build scalable pipelines, and embed AI across the data lifecycle for a hospitality-focused SaaS provider.
TOPSYS IT is Hiring! Job Title: Solution Architect – Data & AI Platform Location: Remote Duration: Long Term Contract Lead enterprise Data & AI architecture using Databricks Lakehouse, Delta Lake, Unity Catalog, Spark,…
Builds and maintains DeepL's data infrastructure, including a Databricks-based lakehouse and Kafka ingestion systems, to enable reliable, scalable data workflows for AI-powered products and teams.
Dit is waarom je Medior Data Engineer bij Creates wilt worden: Je fungeert als sparringpartner en ervaren engineer voor onze klanten en collega’s op het gebied van data engineering. Je realiseert dataplatformen met…
About the Opportunity The Dayforce Data Platform team is building the next generation of our enterprise data platform. We are looking for a software developer who enjoys building services, APIs, frameworks, and core…
Build and govern Power BI and Microsoft Fabric reporting products and semantic models to turn healthcare benefits data into trusted, actionable insights for leadership and plan sponsors.
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