Job
In this role, you will develop a Lakehouse data platform on AWS, implement data pipelines using Python and SQL, and shape the data strategy along with the design and quality of our data systems.
Job summary
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Job technologies
Your role in the team
- A range of responsibilities awaits you that will challenge and inspire you:
- Lakehouse & Data Platform: Technical design, hands-on development, and continuous optimization of our lakehouse data system, data platform components, and other cloud-based data solutions on AWS using Infrastructure as Code with AWS CDK and TypeScript.
- Data Strategy & Target Architecture: Contribute to shaping the data strategy and planning the architecture for the data systems landscape. This includes preparing architectural decisions and implementation proposals, taking feasibility, maintainability, and enterprise architecture requirements into account.
- Data Pipelines & Integration: Building resilient data pipelines and ETL/ELT processes with Python and SQL, orchestrating them with Apache Airflow, and planning and implementing the integration of internal and external systems via various interfaces and integration methods (APIs, event messaging, and streams).
- Data Quality & Data Protection: Planning and implementation of anonymization and pseudonymization in existing data systems to ensure GDPR-compliant data processing, as well as ensuring data quality and consistency across all datasets in accordance with established data governance.
- Visualization & Business Intelligence: Development of components for dashboards, reports, and BI applications, including with Grafana and potentially other BI tools, as a foundation for business analytics and data-driven decision-making.
- Machine Learning & AI: Contribute to data preparation for use cases such as AI-powered analytics, and build and operationalize ML and AI applications through to production.
- Standards & Quality: Defining guardrails and best practices for the software lifecycle in the data systems domain, as well as conducting design and code reviews to ensure functional and non-functional requirements such as performance, memory usage, scalability, and stability.
- Responsibility & Collaboration: Work as an equal in a cross-functional team with Data Engineers, Data Analysts, and Data Scientists, coordinating closely with the Solution Owner for data solutions and stakeholders from various business areas.
Our expectations of you
Qualifications
- Your expertise stands out:
- Data Quality & Privacy Engineering: Proven experience establishing data quality standards and ensuring data protection, particularly through privacy-by-design approaches in data systems and techniques such as tokenization, masking, and hashing.
- Data Stack & Methodology: You have a good overview of the current technology landscape in the data space, data platform solutions (e.g., Snowflake, Databricks, etc.), and modern approaches such as data catalogs, data contracts, and data mesh, and can assess their use from a subject-matter perspective.
- Language skills: Excellent written and spoken German and English, both at least at C1 level.
Experience
- Professional experience: You have at least 6 years of experience in technical roles in the data engineering field, including at least 2 years as an IT Solution Architect, Data Architect, Technical Lead, or Senior Data Engineer. Experience in integration-intensive and/or enterprise environments is an advantage.
- Data Architecture & Engineering: Extensive experience with modern data strategies and architectures (e.g., lakehouse), as well as strong hands-on expertise in ETL/ELT approaches, event-driven architectures, and API design.
- Cloud Engineering: Extensive hands-on experience with AWS in data and serverless environments. A current AWS certification (Solutions Architect and/or Data Engineer) is an advantage.
- Programming & IaC: Proficiency in Python, TypeScript, and SQL, as well as hands-on experience with Infrastructure as Code (AWS CDK or Terraform).
- Production operations: Experience operationalizing production data systems for processing large volumes of data, with a focus on reliability and observability. MLOps knowledge is a plus.
- Teamwork & Communication: Experience working in agile, cross-functional teams (Scrum/Kanban). You think analytically, communicate clearly, explain trade-offs, and take responsibility for sustainable solutions.
What we offer
- What you can look forward to:
- We’re not looking for 100% matches, but for people with potential, curiosity, and a desire to learn.
- We support your personal development through workshops, further training, and regular feedback.
- Collaboration and team culture aren’t just buzzwords for us; they’re actively fostered and developed.
- Remote work with flexibility and genuine in-person connections at the office, so team spirit doesn’t get overlooked.
- We live and breathe electric mobility: With us, you have the opportunity to lease an electric company car at attractive rates.
- At our cafeteria, you can enjoy delicious, healthy, and varied meals at discounted prices.
- You can also look forward to additional benefits such as EGYM Wellpass, e-bike leasing, company pension plans, corporate benefits, and remote work in Germany.
- At EWE, diversity and inclusion mean working together without prejudice, recognizing and valuing individual differences as a strength. Together with colleagues (all genders) from 14 nations, we bring this diversity to life every day.
- For us, climate protection is not a trend but a responsibility—be part of it: climate-neutral by 2035!
Benefits
Health, fitness & fun
Work-Life-Integration
Food & drink
Higher take-home pay
Topics you will work on
Job locations
About your employer
We believe that energy, telecommunications, and information technology are three of the most important industries for the future. Our employees also form connections with each other and with our company – an employer who is committed to taking responsibility.
- Established Company
- Onsite, Hybrid, Full Remote
- Power Sector, Economy
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