Data Engineer (m/f/d)

Avomind; München; Híbrido; EUR 90.000 - 120.000; Tempo integral

Benefícios oferecidos por esta vaga

Competitive salary package

Sales success participation

Digital Leaders of Tomorrow program

Hybrid work model

Company pension

Resumo da vaga

Avomind is seeking a data engineer to design, build, and optimize scalable data pipelines and architectures that underpin analytics and AI solutions. You will ensure seamless data integration from multiple sources and collaborate with data scientists, consultants, and product owners to deliver end-to-end data solutions.

You will own ETL/ELT processes, emphasize data quality and observability, and manage cloud infrastructures (Azure, AWS, or GCP).

Qualificações

• Bachelor's or higher in CS, data engineering, IS, math, physics or related field.
• Strong Python and SQL skills for data integration and automation.
• Hands-on with ETL/ELT pipelines and data workflows.
• Experience with cloud environments (Azure preferred, AWS/GCP ok).
• Familiar with Docker, Airflow and Terraform for scalable setups.
• Knowledge of data lakes, data warehouses, streaming tech (Kafka, Kinesis).
• Experience with distributed processing (Spark, Snowflake, Databricks).
• Focus on data quality, observability, and monitoring; strong team player.
• Excellent communication and ability to explain complex topics; fluent English.

Responsabilidades

• Design, build, and optimize scalable data pipelines and architectures.
• Ensure data from multiple sources is integrated, transformed, and accessible for analytics.
• Collaborate with Data Scientists, Consultants, and Product Owners to deliver end-to-end data solutions.
• Develop and maintain ETL/ELT processes ensuring quality and performance.
• Own cloud data infrastructures (Azure, AWS, GCP) and improve them continuously.
• Leverage Docker and Airflow to create robust, automated data systems.

Conhecimentos

Python

SQL

ETL/ELT pipelines

Data integration

Data quality & observability

Cross-functional collaboration

Communication

Formação

Degree in Computer Science or related field

Ferramentas

Docker

Airflow

Terraform

Kafka

Kinesis

Spark

Snowflake

Databricks

CI/CD

Descrição da vaga

What client look for:

• You design, build, and optimize scalable data pipelines and architectures that form the foundation for analytics and AI solutions.
• You ensure thatdata from various sources is efficiently integrated, transformed, and made available for business and analytics use cases.
• You collaborate closely with Data Scientists, Consultants, and Product Owners to deliver end-to-end data solutions with measurable business impact.
• You develop and maintainETL/ELT processes that ensure data quality, reliability, and performance.
• You take ownership ofcloud-based data infrastructures (Azure, AWS, or GCP) and contribute to their continuous improvement.
• You leveragecontainerization and workflow tools (e.g. Docker, Airflow) to build robust, automated, and reproducible systems.
• You develop solutions with a clearend-to-end mindset, from raw data ingestion to production deployment.
• You actively contribute to the evolution of our data strategy, tooling, and best practices within Client.

What the client requires:

• You hold a degree with excellent grades in Computer Science, Data Engineering, Information Systems, Mathematics, Physics, or a related field.
• You have strong experience in Python and SQL as foundational tools for data integration, transformation, and automation.
• You have hands-on experience in building and managingETL/ELT pipelines and data workflows.
• You are experienced withcloud environments (preferably Azure, alternatively AWS or GCP).
• You are familiar withcontainerization and workflow orchestration tools such as Docker and Airflow.
• You have experience withInfrastructure as Code (e.g. Terraform) to manage scalable, reproducible setups.
• You understanddata lakes, data warehouses, and streaming technologies (e.g. Kafka, Kinesis).
• You ideally have experience withdistributed processing systems like Spark, Snowflake, or Databricks.
• You ensuredata quality, observability, and monitoring as integral parts of your solutions.
• You enjoycross-functional collaboration with Data Scientists, Product Owners, and clients.
• You are aservice-oriented and communicative team player with a high degree of self-responsibility and passion for your work.
• You havestrong communication and presentation skills, and can explain complex topics clearly.
• You speak English fluently; regional languages are an advantage.

What you can expect:

• Your impact is crucial: You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation.
• Your hard work pays off!You benefit from attractive salary packages, participation in sales success, and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits.
• Your development:From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility, and have the opportunity to shape your individual career at the company. You will become a digital leader!
• Your working environment:You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, London, Amsterdam, Milan, and Berlin.
• Your view into the future:You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries.
• Your benefits on top:You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, access to local fitness and wellness partnerships, as well as mobility and meal allowances, and a wide range of other company benefits.