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Builds and maintains data pipelines, feature repositories, and ML model deployments using Python, SQL, PySpark, and MLOps tools to support data science teams in production environments.
Must have skills: In-depth knowledge and hands-on experience in designing solutions in Azure./Databricks services. Knowledge and experience in Databricks with Pyspark. Experience in designing data ingestion, data…
Builds and deploys AWS-based applications using CloudFormation, Python, and PySpark, with a focus on DevOps practices and AWS data analytics tools like EMR and Glue.
Builds and deploys AWS-based applications using CloudFormation and Python, with DevOps practices and data engineering (PySpark, EMR, Glue).
Build and maintain data pipelines using PySpark, Python, and Azure Databricks; enforce governance in Unity Catalog and SQL Server; validate data quality and automate workflows.
Build and modernise cloud-native data platforms and pipelines for clients, using Python, SQL, and tools like Azure/AWS/GCP and Databricks.
Build and optimize cloud-native data platforms and pipelines for clients using Python, SQL, and tools like Azure Data Factory, Databricks, and Snowflake.
Senior Data Engineer responsible for conceptualizing data solutions, modernizing data environments, and building data pipelines using technologies like Microsoft Azure, Power BI, Python, and Fabric/Databricks. Works with clients and cross-functional teams to deliver actionable insights and optimize data infrastructure.
For one of our international clients, we are looking for an experienced Cloud Data Engineer to join the team and be responsible for both the development and operation of cloud-based client services. You have several…
Who You'll Work With Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard…
Build and deploy ML models in Python/SQL, from experimentation to production, using MLOps and A/B testing to drive business impact.
Principal Data Engineer – Databricks | Spark | Delta Lake | PySpark | Data Lakehouse | AWS/Azure Location: Toronto Work Model: Onsite (4 days/week) Key Requirements 12–18 years of overall Data Engineering experience.…
🚀 We’re hiring | Data Analyst 🚀 At Empa‑T, we believe that data is one of the most powerful drivers of business transformation. By transforming complex information into actionable insights, organizations can make…
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From…
Senior Data Scientist Sobre Nós – Habber Tec A Habber Tec é uma organização com espírito de inovação e há mais de 20 anos a transformar o negócio de centenas de clientes na Europa, América e África. Como empresa…
About the Role We are looking for a Data Analyst to join a team responsible for delivering data-driven insights and analytical solutions within a dynamic financial markets environment. The role involves close…
With just over 9 years of experience in the Portuguese market, we share our DNA with more than 200 workers and position our offer according to 3 lines of service: Strategy (Outsourcing, NeXel, Team as a Service, Tech…
Build and maintain ML pipelines, deploy models, and curate data for analytics using Python, PySpark, SQL, and MLOps tools to support insurance-focused AI solutions.
Position: Data Engineer (AWS + Databricks) Location: Singapore Experience: 4 to 8 Years Key Skills Required Strong hands-on experience with Databricks Expertise in PySpark and Spark SQL Good experience with AWS Cloud…
Build and optimize scalable data pipelines and dbt projects to power Decathlon’s ecommerce, stores, and logistics across APAC using Python, SQL, Spark, and cloud platforms like AWS and GCP.
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