Data Engineer Lead

📍 Ort: Eschborn 🏷️ Skills: Data Processing, Data Engineer, professional / experienced

Stellenbeschreibung

Data Engineer – AWS Lead

📍 Location: Spain- Germany - Barcelona

Work Mode: Hybrid 2 days a week to office
🕒 Experience: 8–12+ Years

We are seeking an experienced AWS Data Engineer Lead to design, build, and manage scalable data solutions on the AWS cloud platform. This role requires deep hands-on expertise in AWS data services along with strong leadership skills to drive data engineering initiatives and mentor teams.

Tasks

Key Responsibilities

  • Lead the design, development, and optimization of end-to-end data pipelines on AWS.
  • Architect scalable data lake and data warehouse solutions using AWS services.
  • Manage and mentor a team of data engineers, ensuring high-quality deliverables.
  • Collaborate with cross-functional teams to define data strategies and solutions.
  • Implement robust data governance, security, and compliance practices.
  • Optimize performance, cost, and reliability of AWS-based data systems.
  • Drive best practices for CI/CD, DevOps, and DataOps in data engineering.
  • Stay updated with evolving AWS technologies and recommend improvements.

Requirements

Required Skills & Qualifications

  • 8+ years in data engineering with at least 2+ years in a lead role.
  • Strong experience in Python, SQL, and ETL/ELT frameworks.
  • Hands-on experience building data pipelines on AWS cloud.
  • Expertise in big data tools like Spark, Hadoop.
  • Solid understanding of data modeling, warehousing, and lake architecture.
  • Experience working with Snowflake or Redshift.
  • Strong problem-solving, stakeholder management, and leadership skills.

Find Jobs in Germany on Arbeitnow

Typische Aufgaben & Verantwortlichkeiten

  • Datenbereinigung und ‑aufbereitung aus verschiedenen Quellen
  • Explorative Datenanalyse und Hypothesentests
  • Erstellung von Prognosemodellen und Berichten
  • Kommunikation von Erkenntnissen an Stakeholder

Gesuchte Fähigkeiten & Skills

  • Fähigkeit, mit SQL und NoSQL‑Datenbanken zu arbeiten
  • Kenntnisse in Statistik, Machine Learning und BI‑Tools
  • Erfahrung mit Python (pandas, scikit‑learn) oder ähnlichen Sprachen
  • Starke Kommunikationsfähigkeiten zur Vermittlung komplexer Analysen

💰 Geschätzte Gehaltsspanne

€70.000 – €120.000 pro Jahr

Schätzwert auf Basis vergleichbarer KI-Stellen in Deutschland. Tatsächliches Gehalt kann abweichen.