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The Senior Data Engineer will design and optimize scalable data pipelines using Azure Data Factory, Databricks, and Spark. The role focuses on delivering clean datasets for analytics while ensuring compliance with financial services data governance and security standards.
Data Engineer (Microsoft Fabric) Hybrid | UK-wide Client Projects |Permanent Eligibility - SC Eligible (lived and worked continuously in the UK for the last five years) Build data platforms that matter. At TXP, we're…
Senior data engineer designing scalable ETL/ELT pipelines and data lakehouse architectures for a public healthcare region, focusing on data integration, transformation, and analytics to support AI/ML initiatives.
Build and scale the central data platform at itsme, designing batch and streaming pipelines with Python, PySpark, SQL, and cloud tools like Databricks/Snowflake, migrating from Azure Synapse while supporting fraud detection and reporting.
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.
This role involves developing and maintaining data engineering processes within the Microsoft Fabric and Azure ecosystem. The engineer will design data pipelines, manage PySpark notebooks, ensure data quality and security, and implement CI/CD automation.
Data Engineer with AI focus supporting AFI Analytics, working with Python, PySpark, and SQL at a mid-level.
The Senior Data Engineer will develop and optimize data pipelines and analytics solutions for tax engagements using Azure, Python, PySpark, and SQL Server. The role involves designing scalable data models and ETL processes to support complex regulatory requirements.
The Data Engineer will develop and optimize data layer components, including databases, ETL packages, and SQL queries, to support tax technology solutions. The role requires expertise in Azure data platforms, SQL Server, and data modeling to integrate complex data for global tax services.
Senior Data Engineer migrating a legacy Netezza environment to Databricks, building scalable batch and streaming data pipelines with PySpark to modernize a customer-facing retail data platform.
The Data Scientist will design, build, and maintain scalable AI and data solutions for e-mobility, including telemetry analytics and computer vision. The role involves the full lifecycle of data products using Python, SQL, and Azure-based cloud platforms.
Designs and optimizes enterprise data pipelines and analytics platforms for ERP, financial, manufacturing, and supply chain systems using Azure Synapse, Microsoft Fabric, and PySpark to transform raw data into actionable business insights.
Senior data engineering leader building enterprise data pipelines and analytics platforms using the Microsoft Fabric/Azure stack (Synapse, Data Factory, SQL, Python, PySpark) to drive digital transformation for a large agro-food corporation.
Deploy Fundamental's NEXUS Large Tabular Model into production for Houston-based Oil & Gas enterprise customers, performing end-to-end ML work including benchmarking against XGBoost/LightGBM, data engineering, feature engineering, and last-mile integration (VPC, on-prem, air-gapped).
This Data Scientist role involves building data pipelines, developing machine learning models, and managing the data lifecycle to support business intelligence initiatives. The position requires proficiency in Python, SQL, and Big Data frameworks within an insurance environment.
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.
Leads end-to-end design, development, and maintenance of large-scale Microsoft BI solutions (SQL Server, SSIS, Power BI, SSAS) in fintech, focusing on data warehousing, ETL pipelines, and analytical modeling for enterprise reporting and dashboards.
Shift Technology is seeking a Senior Data Engineer to design and maintain scalable data platforms and high-performance pipelines using Python, Terraform, and distributed data systems. The role involves collaborating with cross-functional teams to support insurance-grade AI solutions within a hybrid work environment.
Data analyst at Sberbank building a multi-agent system to model causal relationships in corporate client data using SQL, Python, and AI tools.
The Data Engineer will design and implement a Medallion architecture using Microsoft Fabric, developing pipelines for data ingestion and transformation. The role focuses on building robust data models for BI and analytics using Spark, Python, and SQL within a logistics environment.
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