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Data Engineer at a consulting firm designing and building scalable data pipelines and AI-first, cloud-native data solutions using Python, SQL, PySpark, and platforms like Databricks, Snowflake, and Microsoft Fabric.
Data Engineer building and maintaining ETL/ELT data pipelines with Python and SQL on cloud data warehouses for a pharma/life-sciences consulting firm.
The Data Engineer will design and maintain a centralized Azure-based data lake, building ETL/ELT pipelines to integrate EHR and operational data. The role involves complex data migrations, modeling, and ensuring data integrity and compliance within a healthcare environment.
The Data Engineer will design, develop, and maintain scalable data pipelines and analytics platforms using Snowflake, dbt, Apache Airflow, and Azure. The role involves building robust data transformation frameworks, automating workflows, and implementing CI/CD practices within an Agile environment.
Data Engineer building scalable ETL/ELT pipelines and data models on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Composer) using SQL and Python for enterprise analytics and AI use cases.
First dedicated data engineer owning the AWS-based data warehouse and pipelines, using Redshift, dbt, Python and SQL to model data for a UK property technology company.
Data Analyst Great opportunity to work at a successful electronics distributor Previous experience as a data analyst Data Analyst Experience translating business problems into analytical solutions Experience of data…
Designs and maintains secure data pipelines for industrial cybersecurity analytics, modeling complex OT data sources and ensuring governance in cloud and on-prem environments.
Designs and builds scalable data platforms and real-time analytics solutions using technologies like Apache Druid, Kafka, and Flink to process billions of events for enterprise clients.
Analytics Engineer transforming enterprise data into trusted, analytics-ready datasets using Azure Databricks, Python, and PySpark to support reporting, BI, and AI initiatives at a law firm.
The Senior Data Engineer will design data pipelines and structures to support cybersecurity products, focusing on data contracts, observability, and performance. The role requires expertise in cloud-native architectures, stream processing, and software development in languages like Go or Python.
The Lead Data Engineer will design and implement scalable data platforms and AI-ready pipelines using the Azure ecosystem, including Microsoft Fabric and Power BI. This role involves leading analytics projects, mentoring team members, and ensuring data governance and security for enterprise clients.
Senior Data Engineer at Sytac building production-grade ETL/ELT pipelines in Python, PySpark, and SQL on Azure/GCP for large Dutch enterprises, treating data pipelines as software with IaC, CI/CD, Kubernetes, and Airflow.
Senior SAP Data Analyst designing analytical/planning models, building dashboards and Analytic Applications with SAC scripting, and supporting pre-sales for asset-intensive industry clients using SAP Analytics Cloud.
The Data Engineer will design and maintain scalable ETL/ELT pipelines to integrate data from various enterprise systems into a centralized platform. The role focuses on creating high-quality datasets using SQL, Python, and cloud technologies to support business intelligence and analytics initiatives.
Senior Data Architect at Allianz Services in Bucharest, leading data modernization and migration programs — architecting cloud-native data warehouse solutions using Snowflake, dbt, and Data Vault 2.0 patterns.
Lead data pipelines and engineering teams to design scalable, AI-assisted data solutions using Microsoft Fabric, SQL Server, MongoDB, and Power BI for analytics and reporting.
Builds and maintains analytical infrastructure for Love, Bonito’s ecommerce business, focusing on dashboards, forecasting models, customer segmentation, and data governance to drive decision-making.
Responsibilities Define and execute data quality test strategies for batch and (if applicable) near-real-time data pipelines. Build and maintain automated data quality checks across medallion layers…
About us We are a leading consultancy with a purpose to make an enduring impact on health and healthcare. We work with leaders and frontline teams to improve health, transform healthcare, drive adoption of innovation…
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