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Digway is seeking a Data Engineer to design and industrialize data pipelines on AWS and Snowflake. The role involves integrating data and collaborating with Data, DevOps, and Security teams on a client data platform.
The Senior Data Product Owner will lead the product vision and roadmap for the data engineering team at RIDCHA DATA. This role involves managing the backlog, coordinating with technical teams, and ensuring data quality and governance.
This Data Engineer role involves designing data pipelines, modeling data warehouses, and migrating decision-making platforms to the cloud using Spark, SQL, and Databricks. The position requires strong technical expertise in data transformation and quality, alongside the ability to collaborate directly with business stakeholders.
Data Engineer on a 12-month contract migrating a decisional platform to the cloud, designing data warehouses, building Spark pipelines, and ensuring data quality using Spark, SQL, and Databricks.
This Data Engineer role involves designing and deploying data architectures on GCP to integrate financial services into mobile applications. The position focuses on building ETL pipelines using Python, Airflow, and BigQuery, while managing infrastructure as code with Terraform.
Au sein de notre équipe d’architecture, vous intervenez aux côtés d’un Architecte Technique Senior sur un projet de transformation et d’évolution de systèmes d’information d'un de nos clients. L’objectif est de…
Design, deploy, and maintain a scalable and secure cloud data platform using AWS, Snowflake, and Terraform, with a focus on CI/CD automation, cost optimization, security, and observability.
Cloud Data Engineer on GCP building ETL pipelines (Python/Airflow, DBT) and managing infrastructure via Terraform for financial-services mobile apps, with reporting in Data Studio/Power BI.
Data Architect/Senior Data Engineer designing and building data infrastructure for governance at scale on Databricks, including data retention automation, DSAR pipelines, access control, and metadata integration. Core technologies include Databricks (Unity Catalog, Delta Lake, Spark), AWS, Terraform, and data governance tools.
You will modernize a data platform and migrate it to the cloud by developing and maintaining Spark data pipelines, migrating legacy processes, and ensuring data quality.
Data Engineer focused on Snowflake for banking client projects—building data ingestion, transformation flows, and CI/CD pipelines using Snowflake, Python, SQL, and PySpark.
Data Engineer designing and hardening datawarehouses and datamarts, building integration pipelines with Spark and SQL on a decisional platform migrating to the cloud, based in Lyon on a 12-month CDD.
Senior Data Engineer on Snowflake, designing and industrializing data pipelines for clients—using Airflow for orchestration, Spark for distributed compute, and Terraform/Docker/K8s for infrastructure and deployment.
Cloud Data Engineer helping enterprise clients migrate to GCP, implementing full DevOps CI/CD pipelines, with hands-on work in containerization, Python, and API management.
Lead Data Engineer managing a data team and designing scalable data architecture, datalakes/warehouses, and large-scale search/indexing systems (e.g., SOLR, vector search) for a B2B SaaS client.
Cloud Data Engineer designing, deploying, and maintaining a scalable data platform on AWS and Snowflake, with daily use of Terraform, DBT, Python, and GitLab CI for CI/CD automation, monitoring, and cloud cost optimization.
Senior Data Engineer/ETL consultant placed at a major fund-industry client in Paris to build and optimize ETL flows, configure Adjuto workflows, model transactional data, and support operational teams—using SQL, ETL tools (Informatica, Talend, SSIS, DataStage), and financial formats (SWIFT, CSV, XML, JSON).
Data Engineer role developing and optimizing data pipelines using Azure, Databricks, PySpark, and Azure Data Factory within a Data Warehouse Cloud environment, with responsibilities spanning both data engineering and DevOps/infrastructure tasks.
Data Engineer building and consolidating a GCP Data Cloud platform, designing ingestion/transformation pipelines with BigQuery, dbt, Composer, Python, and SQL in an Agile team.
Data Engineer responsible for modernizing a data platform and migrating it to the cloud, building Spark pipelines (Java), migrating legacy SQL/PL-SQL treatments, and industrializing pipelines on Databricks.
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