Data Engineer

Job Description

Job Role: Data Engineer

Location: Frankfurt Germany (Remote with Occasional travel to Frankfurt)

Job Type: Permanent/Contract

: Must be a Fluent German and English

Candidate must be based in Germany

Job Description:

•\t4-6 years of experience in various data architecture and engineering roles within data & analytics

•\tCollaborate with stakeholders to understand and document data requirements, business rules, and objectives for the data platform.

•\tDesign and develop conceptual, logical, and physical data models that accurately represent the organization's data assets and support its business needs.

•\tEnsure designs meet documented objectives for reliability, scalability, supportability, user experience, security, governance, performance and more

•\tImplement data engineering practices, including normalization, denormalization, and indexing, to ensure data integrity, performance, and scalability.

•\tWork closely with architects to integrate data engineering into the overall platform architecture, ensuring efficient data processing and storage.

•\tCommunicate effectively with technical and non-technical stakeholders to present and explain data engineering, design decisions, and recommendations.

•\t3+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).

•\tKnowledge of Sagemaker/Jupyter, and data lake

•\tExperience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.

•\tImplement 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).

•\tIdentify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.

•\tHands-on modeling, design, configuration, installation, performance tuning, and sandbox POC

•\tEnsuring that data are modelled and processed according to architecture and requirements both functional and non-functional

•\tUnderstanding and implementing required development guidelines, design standards and best practices

•\tDelivering right solution architecture, automation and technology choices

•\tWorking cross-functionally with enterprise architects, information security teams, and platform teams

•\tSuggesting and implementing architecture improvements.