Data Engineer

• Lead the design, development, and maintenance of scalable data pipelines and data architecture to support analytics and business intelligence needs.
• Drive best practices for data engineering, such as ETL/ELT processes, data quality management, and automation.
• Foster data engineering culture within the organization (documentation, knowledge sharing sessions, code review)
• Advocate for and lead the adoption of new technologies or methodologies to enhance efficiency and impact (Tech stack modernization)
• Keep up to date with the latest trends and developments around the data engineering market (e.g.: attending conferences/seminars)
• Document processes, flows, and methodologies to ensure transparency and reproducibility
• Provide training and support to teams to enhance data literacy and usage across the organization.
• Proactively suggest and drive enhancement and optimization initiatives on Calderys’ Data platform

• Design and build scalable data pipelines that collect, transform, and deliver structured and unstructured data from internal and external sources.
• Partner with business and technology teams to define data requirements for AI use cases and operational workflows.
• Develop data models, integrations, and data quality controls to support analytics, automation, and model performance.
• Ensure data is available, reliable, secure, and properly governed across systems and environments.
• Work closely with AI engineers, product owners, and process teams to prepare data for experimentation and production use.
• Monitor pipeline health, troubleshoot issues, and continuously improve performance, reliability, and maintainability.
• Support metadata, lineage, and documentation practices that improve data transparency and trust.

HUF 20,000,000 - HUF 26,000,000 per year

• Design and build robust, scalable, secure batch and streaming analytics pipelines, data platforms, and enterprise data lake solutions
• Cover the whole product development lifecycle starting from performing PoCs to integrate and deploy modern BI & analytics solutions into production
• Work as a technical expert alongside business process owners, product owners, DevOps, ML and infrastructure engineers to figure out how to reach business objective targets
• Represent the voice for data product developers internally and influence our service offerings and data product strategy by working with cloud platform team and other cross-functional teams
• Manage and orchestrate complex data pipelines using Azure Data Factory (ADF).
• Design, implement, and optimize data transformation processes using Python libraries (Pandas, Numpy, PySpark).
• Develop, maintain, and troubleshoot scalable data workflows on Databricks.
• Utilize Azure Data Explorer (ADX) for real-time data analysis and complex queries.
• Create and optimize SQL queries to extract, transform, and load data.
• Automate routine data tasks with Automation Runbooks and Azure Functions.
• Design and manage scalable data storage solutions using Azure Data Lake.
• Write and execute unit tests to ensure the integrity and quality of data.
• Utilize CI/CD pipelines using Azure DevOps for seamless integration and deployment.
• Optimize Azure usage to manage and reduce costs effectively.
• Ensure to work in compliance with Hydro Quality system, HSE regulations, policies and standardized operating procedures.
• Perform all other tasks upon the instructions of the superior in charge which may be necessitated by the operations of the related unit and which do not conflict with any applicable laws, statutory provisions and company rules.

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Data Engineer

Data Engineer

Data Engineer