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The Opportunity We are seeking a skilled data engineer with at least 2 years of experience to join our team in London. You will design, build, and maintain data pipelines transforming data from hundreds of thousands of…
Senior Data Engineer designing and maintaining scalable data pipelines, building ETL/ELT processes, and working with cloud data platforms using Python, SQL, Azure Data Factory, and Apache Spark.
HUMAN-AI-Z Nexus Technology in Dubai seeks a Senior Database Developer with 7+ years of hands-on experience in enterprise database development and data warehousing. You will design, develop, test, and maintain scalable…
The Senior Manager of Data Engineering will lead a team to design and maintain scalable ETL/ELT pipelines and data warehouse models. The role focuses on technical strategy, data governance, and cross-functional collaboration using Python, SQL, and cloud-based data platforms.
The Analytics Engineer will build and maintain data pipelines using dbt, Python, and Airflow while developing Power BI dashboards and data models. The role requires extensive experience in SQL, cloud data warehousing, and dimensional modeling to support business reporting and data quality.
Designs, maintains, and optimizes data pipelines for healthcare claims/membership data in Snowflake, ensuring data quality and timeliness while mentoring engineers and collaborating with cross-functional teams.
Data Engineer at ALL IN GROUP (an e-commerce company) in Munich, owning and developing the data warehouse platform, building ETL/ELT pipelines using Python, SQL, GCP, BigQuery, dbt, SQLMesh, and Airbyte.
Designs and maintains scalable data infrastructure (data lakes, pipelines, feature stores) to enable AI-driven media analytics, audience intelligence, and business decision-making for a media company.
Data Engineer on a 3-month contract focused on Marketing Digital & eCommerce at Rexel, building Qlik dashboards, automating web analytics pipelines, running A/B tests, and developing predictive models with Python for the rexel.fr webshop.
Builds and maintains data integration pipelines using Talend and Oracle to ensure reliable, high-performance data processing for actuarial and business intelligence systems.
Data Engineer on an 18-month interim contract deploying SAP IBP for MRO Supply Chain, managing the full data lifecycle—from analysis and quality control to integration into an AWS Data Platform.
Build and maintain data pipelines to feed SAP IBP and AWS Data Platform, ensuring data quality and governance for aerospace supply-chain planning.
Build and optimize an embedded analytics stack for livestock performance, from data ingestion to OLAP modeling and BI dashboards.
Senior Data Engineer responsible for developing and evolving Data platforms, building Talend-based ETL pipelines, optimizing SQL for a Data Warehouse and Actuarial base, and ensuring data quality — on-site in Paris.
Build and maintain data pipelines for a private wealth management bank, moving data from Azure Blob to Snowflake with dbt and SQL, ensuring clean, reliable datasets for reporting and analytics.
Builds and maintains data pipelines, warehouses, and lakes; designs data architectures; ensures data quality and reliability for business use cases using Python, SQL, and cloud platforms.
Design, develop, and optimize AWS data pipelines using services like Glue, S3, Redshift, Athena, EMR, and Kinesis, with SQL and PySpark, to deliver reliable datasets to analysts and scientists.
Build and modernize data pipelines for an energy company, migrating batch to webhook-driven architectures and laying groundwork for MDM and AI-driven analytics.
Designs data pipelines and dashboards to transform and analyze client data in Data Lake/Warehouse environments using SQL, Python, and Power BI.
Data Engineer at ICT company Craon, designing and managing scalable data pipelines using Python/Scala, SQL, Big Data platforms (Spark, Hadoop, Hive, Cloudera), and Cloud services (AWS, Azure, GCP) on an enterprise project. Hybrid in Milano/Torino.
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