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Data Engineer at Axiom Software Solutions Limited. Location Information: Frankfurt am Main West, Hessen, Germany - Remote. . Job Role: Data Engineer. Location: Frankfurt Germany (Remote with Occasional travel to Frankfurt). Job Type: Permanent/Contract. Language : Must be a Fluent German and English speaker. Candidate must be based in Germany. Job Description:. • . 4-6 years of experience in various data architecture and engineering roles within data & analytics . • Collaborate with stakeholders to understand and document data requirements, business rules, and objectives for the data platform. . • Design and develop conceptual, logical, and physical data models that accurately represent the organization's data assets and support its business needs. . • Ensure designs meet documented objectives for reliability, scalability, supportability, user experience, security, governance, performance and more . • Implement data engineering practices, including normalization, denormalization, and indexing, to ensure data integrity, performance, and scalability. . • Work closely with architects to integrate data engineering into the overall platform architecture, ensuring efficient data processing and storage. . • Communicate effectively with technical and non-technical stakeholders to present and explain data engineering, design decisions, and recommendations. . •. 3+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and . ETL. and data ingestion protocols). . • Knowledge of Sagemaker/Jupyter, and data lake. • . Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.. • Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).. • Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.. • . Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC. • Ensuring that data are modelled and processed according to architecture and requirements both functional and non-functional. • Understanding and implementing required development guidelines, design standards and best practices . • Delivering right solution architecture, automation and technology choices. • Working cross-functionally with enterprise architects, information security teams, and platform teams. • Suggesting and implementing architecture improvements. . .