Data engineer állások Külföldön (it programozás, fejlesztés)

• Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering or related quantitative field
• Minimum of 5 years of data engineering experience.
• Experience designing and supporting enterprise data pipelines and data integration solutions.

• Design, develop and maintain scalable, end-to-end data pipelines and data products
• Build reliable ETL/ELT solutions for data warehouse, data lake and lakehouse environments
• Partner with business analysts and stakeholders to understand their needs and translate them into effective technical solutions

• The data platform end to end: ingestion, storage, and the query paths that keep millions of records fast on screen. You design it, you build it, you run it in production.
• The platform layer, directly with the CTO: infrastructure, deployments, and the path to production for the whole team.

Develop, operate, and continuously improve SciCat and its associated microservices on our Red Hat OpenShift infrastructure, contributing relevant improvements to upstream open-source projects...

• Build and own scalable data pipelines and integration solutions our data warehouse and data platform.
• Integrate and transform data from ERP, CRM, finance, and other enterprise systems.
• Ensure high standards of data quality, reliability, performance, and operational excellence.

Building efficient and scalable ETL/ELT processes to ingest, transform, and load data from various structured and unstructured sources (databases, APIs, streaming platforms) into BigQuery and Cloud Storage...

• Become familiar with vacuum technology, gas dynamics, process chambers, and sensor systems.
• Support the setup and execution of experiments in our vacuum test laboratory.
• Plan experiments using a structured Design of Experiments approach.

• Processing raw data to ensure data quality
• Applying statistical and analytical techniques to extract meaningful insights from the data

You create data models from data of our central and operational management systems, ensuring the quality and performance of the models and monitoring them....

• Whether in the cloud or an on-premises data center, you expertly navigate the world of Big Data, helping our clients make their data business- or operations-ready.
• You access diverse data sources efficiently and reproducibly.
• You design, test, and monitor distributed data processing pipelines.

• Support and drive the set-up of the data quality remediation mechanism in collaboration with all relevant stakeholders (business, technical teams, and process owners)
• Ensure the implementation of quality metrics in alignment with business processes

Our Business Intelligence Engineer builds data pipelines, reports, dashboards, and analyses to deliver metrics and insights to the business. Our Business Intelligence Engineers tackle some of the most complex challenges in large scale computing, work in small teams across the company to contribute...

• Business analysis and requirements gathering with finance, accounting and controlling stakeholders
• Technical analysis and investigation across application and data layers
• Proven Business Analysis experience, ideally in a financial services, accounting or commodity trading environment

BUSINESS SYSTEMS ANALYST II (M/W/D)     R-293991 Vollzeit / Unbefristet   CSL ist ein weltweit führendes Biotechnologieunternehmen und entwickelt Therapien, die Menschen mit seltenen und schweren Erkrankungen ein besseres Leben ermöglichen. Grundlage vieler dieser Therapien ist menschliches Plasma,...

• Manage the IT Product Lifecycle for new and existing custom applications
• Take ownership of all activities related to the upcoming Mauser Customer B2B Portal
• Define and standardize the technology stack for custom application development

• Develop automated reporting solutions to support financial controlling and provide business insights.
• Build and maintain data models integrating SAP (SAP R/3, SAP S/4HANA, SAP BW), Salesforce, and other data sources.

Development and application of molecular modelling approaches and molecular dynamics simulations to support scientific research, including protein characterization and developability studies...

• Play a key role in establishing and scaling MEAG's Data Governance organization
• Contribute to the evolution of MEAG's Data Platform as the strategic data foundation for analytics and agentic AI capabilities

• Design, develop, and maintain enterprise-wide data models for analytical and reporting purposes.
• Develop and maintain data integration and transformation processes using SQL, Power Query, and ETL/ELT tools such as Azure Data Factory.

• Develop, validate and enhance quantitative models for financial risk management, including market, credit, liquidity and other banking risk topics.
• Analyse large and complex datasets, perform statistical testing and translate results into clear and actionable insights for clients.