Role: Data Engineer
Location: Frankfurt Germany (Remote with Occasional travel to Frankfurt)
Type: Permanent/Contract
Rate: 400-470 euros per day
Salary : 60-65K euros gross per year
Language Must be a Fluent German and English speaker
Candidate must be based in Germany
· 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, No SQL 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 No SQL) 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.
Job Types: Full-time, Contract, Permanent
Pay: 48.323,74€ - 89.836,60€ per year
Application Question(s):

• Authorized to work in Germany

Experience:

• Data Engineer: 6 years (Required)
• ETL: 5 years (Required)
• Data Lake: 3 years (Required)
• No SQL: 4 years (Required)

Language:

• German (Required)

Location:

• 60549 Frankfurt am Main (Preferred)

Willingness to travel:

• 25% (Preferred)

Work Location: Hybrid remote in 60549 Frankfurt am Main