Data & Analytics Engineer

sonnen GmbH

Data & Analytics Engineer designing data products and analytical solutions for the energy sector. Collaborating with stakeholders to enhance data governance and analytics strategies at sonnen.

Posted 6/29/2026full-timeCairo • 🇪🇬 EgyptMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering and Analytics, with a strong focus on designing scalable data models, implementing data quality controls, and collaborating with stakeholders to drive data-driven decision-making. Proficient in modern data architecture concepts and cloud-based analytics environments.

Highest-signal resume keywords

Data EngineeringData ArchitecturePythonSQLAWS Redshift

ATS Keywords

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Hard Skills

Data ModelingData TransformationAnalytics EngineeringData Quality ManagementData Governance

Soft Skills

Stakeholder CollaborationEffective Communication

Tools & Technologies

DatabricksREST APIsVersion Control

Industry Keywords

Data ProductsAnalytics StrategyCloud-Based AnalyticsOperational SystemsData Ecosystem

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudPythonSQL

About the role

Key responsibilities & impact

Partner with business stakeholders and subject matter experts to understand analytical needs, identify opportunities, and define requirements for data products and analytical solutions.
Translate business requirements into scalable data models, curated datasets, and actionable insights that enable data-driven decision-making.
Design, develop, and maintain data products by integrating data from operational systems, backend services, SAP solutions, and other internal and external data sources.
Collaborate with software engineering and data engineering teams to ensure reliable integration of data into sonnen's analytics platform and data ecosystem.
Contribute to the evolution of our data architecture, data governance, and analytics strategy, helping establish sustainable and scalable data products.
Develop and maintain data transformation logic, analytical datasets, and semantic models that support reporting, analytics, and advanced use cases.
Implement data quality controls, monitoring mechanisms, and validation processes to ensure data accuracy, consistency, and trustworthiness.
Drive continuous improvement of our data products and analytics capabilities by identifying gaps, opportunities, and emerging technologies.
Ensure high standards for documentation, maintainability, and software engineering practices using version control and collaborative development workflows.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
3+ years of professional experience in Data Engineering, Analytics Engineering, Data Analytics, Data Architecture, or a similar role.
Proven ability to work effectively with both business and technical stakeholders and translate business requirements into technical solutions.
Experience designing and implementing data models, curated datasets, and analytics-ready data structures.
Understanding of modern data architecture concepts, data warehousing, and lakehouse platforms (e.g., AWS Redshift, Databricks).
Experience working with structured and unstructured data from multiple operational systems and APIs.
Strong knowledge of Python, SQL, REST APIs, and data transformation frameworks.
Familiarity with data quality management, governance principles, and monitoring practices.
Ability to contribute to strategic discussions around data architecture, data products, and analytics enablement.
Experience in cloud-based analytics environments is highly desirable.
Fluency in English; German is a plus.

Benefits

Comp & perks

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