IT - Data Engineer at Calderys SA Pty Ltd

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

30 Aug, 26

Salary

0.0

Posted On

01 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, ETL/ELT, Data Pipeline Development, Data Lake Management, Data Warehouse Management, API Management, Enterprise Application Integration, Predictive Analytics, Artificial Intelligence, Master Data Management, Business Intelligence, Data Quality Management, Databricks, Snowflake, BigQuery, Talend

Industry

Manufacturing

Description

Role The IT Data Engineer will report to the Global BI and Datta Leader and will be responsible for building a robust architecture and providing technical expertise of data technologies to the various Data Analysts and to Business Areas and Functions. Responsibilities * 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 Requirements * Bachelor’s or master’s degree in computer science, Engineering or a related field. * 5+ years of functional experience in IT & Data related functions * 5+ years of experience facilitating the development and implementation of business initiatives and projects, based on management objectives * 3+ years of practical experience in projects in application interface development and data integration * Extensive experience implementing, migrating, managing data lake/data warehouse implementations (Databricks, Snowflake, BigQuery…) * Extensive experience in data technologies related to business intelligence, analytics, Extract/Transform/Load (Talend, Alteryx, Informatica, ODI…), API management, enterprise application integration (EAI), predictive analytics, artificial intelligence and master data management. * Experience integrating Business systems. * Strong analytical and problem-solving skills. As a global organisation operating across multiple countries, compensation for this role may vary depending on location, local market benchmarks, and experience. In line with our commitment to pay transparency, a salary range relevant to your location will be shared with you during the early stages of the recruitment process, before any interview is scheduled. #LI-DNI

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Responsibilities

The IT Data Engineer is responsible for designing and maintaining scalable data pipelines and architecture to support business intelligence needs. They will lead the adoption of new technologies, drive data engineering best practices, and provide technical expertise to data analysts and business functions.