Data Engineer (m/f/d)

Insight 42; United States; À distance; USD 73 000 - 106 000; Plein temps

Avantages offerts par ce poste

No commute / remote work in Germany

Competitive compensation

Growth opportunities

Résumé du poste

Insight42, a data platform company, is hiring a Data Engineer (m/f/d) to join a growing distributed team. You will design and build high-performance data pipelines and architectures that deliver data to analytics, AI, and product teams across Europe.

Requirements include 3+ years in data engineering, Python or Scala, data warehousing (BigQuery, Snowflake, or Redshift), ETL tools (Airflow, dbt, Prefect), SQL and IaC/CI/CD. English fluency is required; German is a plus.

Qualifications

• 3+ years of experience as a Data Engineer or similar
• Strong programming in Python or Scala
• Experience with data warehousing (BigQuery, Snowflake, or Redshift)
• Proficiency with ETL tools and workflow orchestration (Airflow, dbt, or Prefect)
• Solid understanding of SQL and schema design principles
• Experience working with IaC and CI/CD for data infrastructure
• Fluent communication in English; German is a plus

Responsabilités

• Develop and maintain robust data pipelines and ETL processes
• Build and optimize data models for analytics and reporting
• Work with cloud-based data environments (Azure, GCP, or AWS)
• Ensure data quality, consistency, and governance with standards
• Collaborate with analytics, DevOps, and product engineering teams
• Monitor and optimize data systems for performance and scalability

Connaissances

Python

Scala

SQL

Data modeling

Data governance

CI/CD

Airflow

dbt

Prefect

Outils

BigQuery

Snowflake

Redshift

Airflow

dbt

Prefect

Description du poste

Data Engineer (m/f/d), 100% remote in Germany

Job type: Full-time
Experience: 3+ years in data engineering

Who you work for

With this Data Engineer job you join Insight42, based in Ingolstadt and led by its founder Martin-Peter Lambert. The company won the German Innovation Award for decentralized, risk-eliminating architectures. Your team builds sovereign data platforms that turn complex data into decisions for European clients.

What you will work on

Your pipelines feed analytics, AI and product teams. In our growing distributed team you design and build high-performance data pipelines and architectures, so data reaches every team reliably and on time.

Your tasks

• Develop and maintain robust data pipelines and ETL processes
• Build and optimize data models for analytics and reporting
• Work with cloud-based data environments (Azure, GCP, or AWS)
• Ensure data quality, consistency, and compliance with governance standards
• Collaborate with analytics, DevOps, and product engineering teams
• Monitor and optimize data systems for performance and scalability

What you bring

• 3+ years of experience as a Data Engineer or similar role
• Strong programming skills in Python or Scala
• Experience with data warehousing (BigQuery, Snowflake, or Redshift)
• Proficiency with ETL tools and workflow orchestration (Airflow, dbt, or Prefect)
• Solid understanding of SQL and schema design principles
• Experience working with IaC and CI/CD for data infrastructure
• Fluent communication in English; German is a plus

Nice to Have

• Familiarity with Spark or distributed data frameworks
• Experience in building real-time or streaming data systems
• Knowledge of ML pipelines or feature engineering workflows
• Exposure to containerized environments (Docker, Kubernetes)

What you get

• No commute or relocation: work from anywhere in Germany
• Competitive compensation and growth opportunities
• A collaborative team with its own products, like Secretary42
• Modern cloud and data tools that keep your skills current