Aviva plc is seeking an experienced Data Scientist to join the Services Excellence Centre in Warsaw. You will develop and deploy Data Science and ML models, work with Python, R, and SQL, and present findings to business stakeholders. We value a 5+ year track record, strong English, and experience in cloud-based environments. ...
... and maintain scalable and efficient data pipelines in Azure and Databricks Develop and optimize ETL processes using Azure Data Factory and Databricks Build Big Data solutions aligned with business requirements Collaborate with Data Science, BI, and development teams to ensure high-quality data Monitor performance of data ...
... scalable data processing solutions on Azure, transforming and cleaning large structured and unstructured datasets efficiently. - Design, build, and maintain robust data pipelines integrating data from diverse sources (databases, APIs, streaming platforms). - Collaborate with cross‑functional teams including data engineers, data ...
We are seeking a Data Solution Architect for data-driven projects. Together, we design and drive lots of solutions that generate value from data, taking advantage of scalable platforms, cutting-edge technologies, and machine learning algorithms. Data Solution Architect is an expert who empowers an organization's digital ...
... data platform solutions. In this role, you will act as a technical leader and solutions architect, driving automation strategies, API enablement, and modern data architectures such as Data Mesh. You will work closely with international, cross-functional teams to deliver scalable, secure, and cost-efficient data products ...
... of Data & Analytics. THE WORK Develop and implement scalable data processing solutions on Azure, transforming and cleaning large structured and unstructured datasets efficiently. Design, build, and maintain robust data pipelines integrating data from diverse sources (databases, APIs, streaming platforms). Collaborate with ...
... and maintain scalable data pipelines and data solutions. Work extensively with Snowflake and SQL to transform, integrate and manage data. Develop and optimize data processing workflows to ensure performance, reliability and data quality. Integrate data from multiple sources and support efficient data flows across systems. ...
... track to reach €1 billion in revenuethis year. Our Core Areas of Expertise Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI. Cloud & Application Services: We integrate leading platforms ...
... Windows About the project, We are seeking an experienced Senior Azure Data Engineer to join our team and contribute to the design and development of a modern data platform leveraging Azure Databricks, Apache Spark, and Data Lake. If you are passionate about building scalable data solutions and working with the latest cloud ...
... Google Cloud Platform, AWS, Databricks, Apache Spark, PySpark, Apache Airflow, GitHub Actions, Terraform, Bicep About the project, At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including leaders ...
... Google Cloud Platform, AWS, Databricks, Apache Spark, PySpark, Apache Airflow, GitHub Actions, Terraform, Bicep About the project, At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including leaders ...
... scale. As a Senior Data Engineer (Spark) , you will join a complex data engineering project focused on building and developing scalable data pipelines and modern data processing solutions. The role combines approximately 70% hands-on data engineering with 30% technical leadership . Alongside designing and developing data solutions, ...
... data pipelines and data models in cloud environments (Azure is our main ecosystem)., Close collaboration with clients - gathering requirements, discussing solutions, communicating progress clearly., Implementing best practices in data engineering: data integrity, quality checks, testing, documentation, and data lineage., ...
... of Data Hub defining patterns, templates, and best practices for data engineering establishing data governance, access policies, and security frameworks for data layer / Data Hubs ensuring efficient storage, retrieval, and processing of large-scale datasets preparing solutions for streaming and batch data ingestion, transformation, ...
... governance, data management, or data migration., Education: Bachelor’s in Computer Science, Data Science, Information Systems, Business, or related., Working with data: proficiency in SQL, spreadsheets, and reporting/BI; bonus points for hands-on with metadata repositories, MDM, and data quality solutions., Business & leadership: ...
... Developing advanced data science solutions and predictive insights to empower business teams and drive strategic decision-making., Working hand-in-hand with Data Engineers who support data pipeline heavy-lifting on GCP., Cooperating closely with cross-functional stakeholders: business teams, product managers, data engineers, ...
... ETL/ELT workflows to support analytical and operational use cases, Implement data modeling strategies aligned with modern data lakehouse architectures, Ensure data quality, governance, and monitoring across all data assets, Deliver secure, scalable, and highly available data solutions following operational best practices, ...
... mapping of SAP data into the central cloud ecosystem. Develop, optimize, and maintain highly efficient ETL/ELT workflows using AWS Glue. Implement and enforce DataOps quality gates to guarantee data integrity, accuracy, and reliability across all environments. Architect scalable, secure data solutions while providing technical ...
... optimization., Design and optimize complex ETL/ELT processes, Data Warehouses, Data Marts, and Data Lakes., Gather and analyze requirements to design logical and physical data models., Utilize a variety of data storage and database technologies to implement and maintain robust solutions., Deploy and manage data applications in production ...
... scripts and procedures to automate processes. Testing data quality. Work with analytics and business teams to understand requirements, develop appropriate solutions, and deliver data in the right format and at the right time. Develop and maintain documentation on data infrastructure, ETL/ELT processes, database schemas ...