Senior Data Engineer (ELT/ELT, Python, Snowflake, AWS)

Reap; Remote; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A dynamic data-driven company in Germany is seeking a Senior Data Engineer to join their innovative data team. The ideal candidate will design and deploy scalable ETL/ELT pipelines, work collaboratively with cross-functional teams, and stay updated with industry trends. Candidates should have 6+ years in data engineering, strong technical skills in Python and SQL, and a passion for problem-solving. This role offers a remote work-friendly environment and a chance to make a significant impact on projects.

Leistungen

Global & Dynamic Team

Remote Work Friendly

Qualifikationen

• 6+ years work experience in data engineering and cloud platforms.
• Expertise in ETL, data modeling, and cloud data warehousing.
• Strong programming skills in Python, SQL, AWS, and Snowflake.
• Experience in Credit Cards, Payments, and AWS certification would be advantageous.
• Exposure to AI, machine learning, and predictive analytics is desirable.

Aufgaben

• Design, develop, and deploy scalable ETL/ELT pipelines and APIs.
• Work closely with cross-functional teams for seamless product development.
• Stay updated with industry trends and technologies.
• Build monitoring and alerts for data pipelines.

Kenntnisse

ETL

Data modeling

Python

SQL

AWS

Snowflake

Big data processing

API integrations

Analytical skills

Problem-solving

Jobbeschreibung

Role Overview:

As part of a rapidly growing data team, we are looking to hire Senior Data Engineers to contribute to our dynamic and innovative projects. We are looking for someone who is ready for the challenge, is solutions-oriented, and thinks out of the box. The ideal candidate should be passionate about using data to drive impact across the organization and a collaborative mindset to work effectively within cross‑functional teams. If you are enthusiastic about pushing boundaries, solving complex problems, and making a significant impact, we encourage you to apply and be part of our exciting journey in shaping the future of our products.

Responsibilities:

• Design and development: Design, develop, and deploy scalable ETL/ELT pipelines and APIs for ingestion and transformation. Implement data modeling best practices for optimal accessibility, flexibility and query performance. Implement data governance practices, including data security, privacy, and compliance, to ensure data integrity and regulatory compliance.
• Collaboration: Work closely with cross-functional teams, including product managers, designers, and other engineers, to ensure seamless product development from concept to deployment. Influence product and cross-functional teams to identify data opportunities to drive impact.
  
• Continuous learning: Stay updated with the latest industry trends and technologies, ensuring our tech stack remains modern and competitive.
• Observability and Support: Build monitor and alerts for data pipelines monitoring, identify and resolve performance issues, troubleshoot data-related problems in collaboration with other teams, and ensure data platform SLAs are met.

To be successful you will need to have:

• Experience: 6+ year work experience in data engineering and cloud platforms. Previous experience in a senior or lead engineering role.
• Technical proficiency: Expertise in ETL, data modeling, and cloud data warehousing. Strong programming skills in Python, SQL, AWS, Snowflake and related tech stack. Hands‑on experience with big data processing and API integrations.
• Problem solving: Strong analytical and problem-solving skills, with a keen attention to detail and a passion for troubleshooting and debugging
• Experience in Credit Cards, Payments and AWS certification would be an advantage.
• Exposure to AI, machine learning, and predictive analytics is highly desirable.

Benefits

• A Global & Dynamic Team
• Remote Work Friendly

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