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Designs, governs, and modernizes NetSuite implementations for a supply-chain software company, replacing legacy customizations with native modules and integrations while mentoring teams and enforcing architectural standards.
Develops and optimizes Mapbox’s geocoding search engine, focusing on algorithms for place/point-of-interest retrieval, query understanding, and ranking to deliver fast, accurate location-based search solutions. Works with cross-functional teams to integrate AI and ensure system scalability, reliability, and real-time performance.
As a Data Platform Engineer Working Student, you will assist in designing and building Databricks-native Lakehouse architectures, implementing data governance, and automating CI/CD pipelines. You will work with Python, SQL, and cloud platforms to support internal projects and client data infrastructure.
The Intermediate Front End Developer will build and maintain the user interface for Smile Digital Health's clinical intelligence platform using Angular, TypeScript, and related web technologies. The role involves collaborating with cross-functional teams to design, develop, and test scalable UI components while mentoring other developers.
Build and maintain Azure-based data platforms with Microsoft Fabric and PySpark pipelines for a European remote team.
Designs and implements cloud-based data governance on GCP, building metadata, data catalog, quality, lineage, and secure access for a modern data platform.
Data Platform Engineer specializing in Apache Kafka and Java, designing and developing event-driven solutions, working with backend Java/Spring Boot, and integrating with MongoDB and GraphQL.
SoftServe is looking for a Senior Data Engineer to develop and optimize scalable batch and streaming ETL pipelines using the Databricks Lakehouse platform on Azure. The role involves designing data processing solutions with PySpark, Python, and SQL while managing cluster configurations and data governance via Unity Catalog.
This role involves developing and enhancing a cloud-based risk platform using Java, Spring Boot, and GCP technologies. The engineer will build and maintain scalable data pipelines and microservices while collaborating in an agile environment.
The Junior Data Engineer will develop and maintain data pipelines using Microsoft Fabric and Azure Data Factory. The role involves collaborating on data solutions, troubleshooting processes, and documenting technical specifications.
The Senior Snowflake Data Engineer will design and optimize scalable data pipelines across multi-cloud environments to support AI initiatives in the pharmaceutical industry. The role involves building data models, ensuring data governance, and maintaining infrastructure using tools like Snowflake, DBT, Python, and Terraform.
Designs and implements data governance frameworks, metadata management, and data quality solutions on GCP, migrating on-premise environments to cloud-based platforms while supporting AI/ML initiatives for a telecom client.
The Platform Engineer will support and standardize data pipelines for biological research, helping scientific teams utilize the Omics Workbench platform. The role involves optimizing cloud infrastructure and supporting AI/ML-assisted development workflows for global biopharma projects.
Sii is hiring a Junior Data Engineer to build and maintain data pipelines using Microsoft Fabric and Azure Data Factory. The role involves collaborating with a team to translate business requirements into effective cloud-based data solutions.
The Staff Big Data Engineer will lead a data migration project from on-premise systems to AWS, architecting scalable pipelines using Python, Spark, and Airflow. The role involves running Spark jobs on Kubernetes and mentoring senior engineering staff.
The Senior Big Data Engineer will design and maintain scalable batch and streaming ETL pipelines on the Databricks Lakehouse platform within Azure environments. The role involves optimizing data processing, implementing data governance with Unity Catalog, and collaborating with stakeholders to deliver production-ready data solutions.
The Staff Big Data Engineer will lead complex data migration projects from legacy systems to AWS, designing scalable pipelines using Python, Spark, and Apache Airflow. This role involves technical leadership, mentoring, and implementing modern data architectures using Apache Iceberg and Kubernetes.
This role involves developing and maintaining production-grade Big Data solutions and platform automation on Azure Databricks. The engineer will use Scala, Java, and Spark to build scalable infrastructure and CI/CD pipelines for a financial valuation and risk management platform.
Build and optimize data pipelines on Google Cloud Platform using BigQuery and Dataform, supporting analytics modernization for a client’s platform.
The Data Engineer will modernize data and analytics workflows on Google Cloud Platform using BigQuery, Dataform, and Python. The role involves collaborating with teams and requires monthly visits to the client's office in Warsaw.
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