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Digital Sarthi Software Solutions is looking for a Data Engineer to design, build, and optimize scalable data pipelines to support various use cases such as Research Digitization, Banking, Global Markets, and Data Monetization. The ideal candidate will also develop and operationalize data products that integrate both structured and unstructured sources, including alternative data. Additionally, they will deploy, manage, and performance-tune large-scale Spark workloads on Databricks, ensuring that these systems are reliable, scalable, and cost-efficient.

Synchrone Fr is looking for a Data Engineer Cloud H/F to join ambitious digital transformation projects. As a Data Engineer, you will be responsible for designing and deploying robust ETL/ELT pipelines on cloud platforms like AWS, GCP, and Azure. You will also optimize real-time and batch data processing using tools like Apache Spark and Kubernetes, ensuring data quality and governance while collaborating with Data Science and DevOps teams.

83zero is looking for a Data Engineer. The ideal candidate will have experience in Data Engineering with Databricks, including Spark programming using Scala and Python, and SQL, as well as knowledge of Delta Lake. Familiarity with Azure Data Lake for data ingestion and ETL/ELT frameworks is essential. You should also have expertise in Data Governance, Metadata, and Data Quality alongside a good understanding of Data Modelling concepts. Experience with Unity Catalog or similar components for Data Governance management is highly valued.

BME - Building Materials Europe is looking for a Senior Data Engineer to join our Group Digital Team. In this role, you'll build and optimize data platforms using Azure technologies and tools. The position's key responsibilities include developing data lakes, designing ETL pipelines, and collaborating with IT teams and stakeholders to deliver innovative data solutions.

TekRek is looking for a Senior Data Engineer to build a cloud-native data platform that supports large-scale analytics, real-time processing, and machine learning. The successful candidate will design and build robust data platforms on GCP, AWS, or Azure, develop scalable pipelines using Spark, Kafka, dbt, and Airflow, and implement ETL workflows with strong data governance.

TekRek is looking for a Senior Data Engineer to scale the data platform infrastructure from the ground up. This high-impact role involves designing and building robust data platforms on major cloud services, developing scalable pipelines, and collaborating with a team of engineers and analysts to foster data access and insights.

EPAM Systems is looking for a Databricks Engineer with expertise in cloud infrastructure, big data processing, data integration and analytics, particularly with Azure. In this role, you will play a crucial part in advancing our client's Data-Driven Company initiative within the insurance sector. Your role will involve designing and building robust data architecture to support various aspects of the client's business.

EPAM Systems is looking for a Databricks Engineer to advance our client's Data-Driven Company initiative within the insurance sector. This role involves designing and building robust data architecture to support various aspects of the client's business while leveraging expertise in cloud infrastructure, big data processing, data integration, and analytics, particularly with Azure. The successful candidate will design, develop, and maintain scalable data pipelines and architectures and collaborate with Machine Learning engineers to integrate AI-driven insights and recommendations.

EPAM Systems is looking for a Lead Data Software Engineer with proven experience in Databricks and a strong background in data engineering. You will lead a small team to create and maintain scalable data pipelines, develop data models, implement quality checks, and drive innovation within an Agile framework. Excellent English communication skills are essential for this role.

EPAM Systems is looking for a Senior Data Software Engineer with a strong background in Databricks to join our team in Madrid, ES. The ideal candidate will design, develop, and maintain scalable data pipelines and architectures while optimizing data models and ETL processes. They will ensure high data integrity through quality checks and monitoring, stay updated with emerging data engineering trends, and mentor junior engineers.