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Sandav is seeking a Data Engineer with 5-8 years of experience in PowerBI or MicroStrategy to work on a long-term project. The role involves ETL, data analysis, and reporting, with a 100% remote work arrangement requiring residency near Madrid.
Entry-level data engineering consultant role at CapTech, building data pipelines and systems for clients using SQL, Python, and cloud platforms, targeting Dec 2026–Summer 2027 graduates.
Maintain and improve a secure, scalable cloud-based database platform for a digital bank, using AWS, Kubernetes, and observability tools while collaborating with product teams.
Au sein de la Business Line Développement Régional de Clermont-Ferrand, nous accompagnons de grandes entreprises dans la réalisation de leurs projets de data. Nous sommes notamment en charge de créer de nouvelles…
Senior Data Platform Engineer building a governed data sharing platform using PostgreSQL, Kafka, Debezium CDC, DataHub, and Kubernetes to enable contract-driven data publishing and consumption across Smartly's ad tech systems.
The Data Governance Specialist develops and implements enterprise data governance frameworks, policies, and standards to ensure data quality, privacy, and regulatory compliance. The role involves managing metadata, facilitating stakeholder workshops, and monitoring policy adherence across the organization.
The Data Engineer/Analyst will process large datasets using Apache Spark and Hadoop to identify risks and anomalies for the retail business. The role involves developing complex SQL queries and translating business requirements into technical solutions.
Designs and maintains hybrid data infrastructure (SQL Server, Azure Synapse, Data Lake) and builds automated ETL pipelines to ensure secure, scalable analytics and reporting.
The Data Engineer for AI will design, build, and maintain scalable data pipelines and reusable components on Databricks and Foundry to support AI, ML, and GenAI initiatives. The role focuses on enabling self-service data consumption while ensuring high quality, security, and compliance within the Allianz Global Investors platform.
Design and maintain scalable data pipelines in Palantir Foundry using Python, PySpark, and cloud services to process pharmaceutical/life-sciences data.
Senior Data Engineer builds and maintains high-throughput pipelines and data-quality frameworks to power fraud detection and AML decision engines for a European fintech.
Design and maintain a hybrid-cloud data platform (AWS + GCP/BigQuery) for a European fintech, building data lakes, orchestrating pipelines, and optimizing costs to power analytics and AI transformation.
Build and maintain Snowflake-based ELT pipelines and dbt semantic models to power a multi-country fintech analytics platform that delivers credit solutions to users and merchants across Latin America.
Lead the design and build of a multi-country Snowflake/GCP data platform for credit risk analytics and device financing, using dbt, Datastream CDC, and Snowpipe to deliver real-time analytics across 8 LATAM markets.
Trainee role assisting with building and maintaining data pipelines using Python, SQL, and Big Data technologies like PySpark and Apache Spark.
Build and maintain a global consumer data lake using Snowflake, Python, and dbt to process and model data for analytics and personalization.
The Middle Data Engineer will build and maintain scalable AWS-based data lakehouse pipelines for an e-commerce client. The role involves developing data models, managing data quality, and collaborating with cross-functional teams using Python, PySpark, and various AWS services.
Builds and optimizes data pipelines, transforms models into services, and automates reports using Python, Airflow, Vertica, ClickHouse, and PySpark for Ozon’s ecommerce platform.
Senior/Lead Data Engineer builds and scales production-grade data systems, including pipelines, services, and storage solutions for data collection, processing, and delivery using Python, Airflow, and NoSQL databases.
Job Summary The Data Engineer designs, builds, and maintains scalable data pipelines and architectures that enable efficient data processing and analysis within the institution. This position works closely with data…
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