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Role Summary/Purpose: We are looking for a VP, Cloud Data Solution Architect to lead the strategic design of Synchrony’s enterprise data ecosystem in the cloud that supports both operational and analytic objectives.…
Rackspace Technology™ is a leading end-to-end, hybrid cloud and AI solutions company. We can design, build, and operate our customers' cloud environments across all major technology platforms, irrespective of…
At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our…
VF Corporation is looking for a Associate Data Scientist to join our team in Stabio, Switzerland. Let’s talk about the role! As an Associate Data Scientist at VF Corporation, you will focus on demand forecasting for…
Senior Data Engineer for the NSW Government's Department of Planning, Housing and Infrastructure, based in Parramatta with flexible working. They build secure, scalable data pipelines with SQL, Azure Data Factory, Python/PySpark and Azure serverless tools, and lead the department's migration to Microsoft Fabric.
Staff Product Manager on Cribl's Core Search foundation team, owning the roadmap and delivery for Federated, Metric, and Lakehouse search. Day to day: gathering customer/partner feedback, triaging and prioritizing features and bugs, coordinating with engineering, and enabling sales and marketing — requiring deep experience with observability/big data analytics and query languages like SQL, KQL, an
Designs and builds complex batch and streaming data pipelines (Python, SQL, Spark) for a global data platform on AWS and Databricks, working with Lakehouse architectures (Delta Lake/Iceberg/Hudi), CDC/upsert strategies, and Airflow orchestration. Hybrid role in Madrid for a data engineer with 4+ years of experience.
Senior Data Engineer for an international client project building a global data platform on AWS and Databricks: designing batch and streaming pipelines with Python, SQL and Spark, implementing Lakehouse architectures (Delta Lake, Iceberg, Hudi), CDC/upsert strategies and Airflow orchestration. Hybrid role in Madrid with 3 days remote.
Senior/Staff Data Engineer owning and evolving the data platform (ETL/ELT pipelines, data warehouse, data quality) for Cerebras, an AI chip company. Day-to-day involves building production data pipelines in Python and SQL on cloud infrastructure (AWS/GCP/Azure) while partnering with analytics and engineering stakeholders.
Staff Data Engineer at an applied AI engineering consultancy, designing and building enterprise data platforms (lakes, warehouses, pipelines) on AWS with a focus on real-time processing and AI/ML data flows.
XCentium, a digital consultancy, is hiring a remote (India) Senior Data Engineer to build end-to-end data pipelines and lakehouse solutions on Microsoft Fabric and Databricks — covering medallion architecture, CDC, PySpark streaming, data quality and governance — while mentoring junior engineers and acting as senior technical lead on client engagements.
Designs and builds production-grade ETL/ELT pipelines and Lakehouse platforms on Azure/AWS Databricks using PySpark, Spark SQL, Delta Lake, and Unity Catalog, supporting BFSI modernisation, migration, and AI-ready data programs. Full-time, pan-India role for engineers with 5–10 years' experience including 3+ years hands-on Databricks.
XCentium, a digital consultancy, is hiring a full-time remote Data Engineer in India to build and maintain client data pipelines and lakehouse components using Microsoft Fabric and/or Databricks. Day-to-day work involves implementing ingestion, transformation, and data quality logic across Bronze/Silver/Gold Medallion layers with PySpark and Delta Lake.
Senior/Principal Azure Data Engineer building scalable data platforms: designing ETL/ELT pipelines with Azure Data Factory and Databricks, transforming data with PySpark/Spark SQL and Delta Lake, and maintaining a lakehouse on ADLS Gen2 with Synapse, Event Hub, and Key Vault/SharePoint integrations. Requires 5+ years of Azure data engineering and UAE business-hours availability.
NorthBay - Pakistan is hiring a Senior Azure Data Engineer in Islamabad (hybrid) to design and build scalable ETL/ELT pipelines and lakehouse architectures on Microsoft Azure, working with ADF, Azure Databricks, ADLS Gen2, Synapse, Event Hub, Logic Apps, and Azure SQL, aligned to UAE business hours.
Senior Data Engineer at Systems Limited in Punjab, Pakistan, building and maintaining real-time and batch data pipelines with Kafka, Flink, and Spark (PySpark), orchestrating workflows via Airflow/Azure Data Factory, and running containerized workloads with Docker, Helm, and Kubernetes, while leading and mentoring a team of data engineers.
Senior Data Engineer at Systems Limited in Punjab, Pakistan, designing and maintaining scalable data pipelines. Day-to-day work spans real-time streaming (Kafka, Flink, Spark Streaming), batch processing (Spark/PySpark), containerization, orchestration with Airflow or Azure Data Factory, lakehouse storage, data quality with Great Expectations, and mentoring a team.
A data engineer designs, builds, and optimises scalable cloud data pipelines (ETL/ELT) and Medallion-architecture lakehouse models for enterprise clients, using Databricks, Microsoft Fabric, and Azure services, with SQL, Python, PySpark, and CI/CD DevOps practices.
Data engineer joining the BI & Data team of the BENU pharmacy chain (PHOENIX Pharma Switzerland) in Köniz to design, build and govern a modern analytics platform on Microsoft Fabric. Day-to-day work covers ETL/ELT pipelines, Lakehouses, data quality/monitoring and governance, using PySpark/Python, SQL and Fabric (Notebooks, Pipelines, Dataflows), with Power BI as a plus.
Senior Data Platform Engineer at Avaloq in Tessin, Switzerland, designing, building, and operating a secure, governed data platform for security, audit, operational, and analytics workloads. Daily work spans batch and streaming pipelines, data modeling, quality and governance controls, and integration with SIEM, monitoring, and BI platforms, using Python, SQL, and Terraform.
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