Data Engineer

Acosom GmbH; Grézet-Cavagnan; Hybrid; EUR 75,000 - 120,000; Full time

Job summary

Acosom GmbH in France is seeking experienced data engineers who are enthusiastic about stream processing, big data and modern data architectures to join our team.

You will design and optimize ETL/ELT pipelines, explore Kafka, Flink and MongoDB, and help establish data mesh practices across distributed systems. Relocation assistance is offered; remote work from Switzerland is possible.

Qualifications

• Strong programming skills in data ecosystems.
• Experience with ETL/ELT pipelines and data-intensive architectures.
• Experience with container technologies such as Docker and Kubernetes.

Responsibilities

• Design and implementation of ETL/ELT pipelines and high-performance data-intensive architectures.
• Learning and consulting on stream processing frameworks and distributed databases.
• Conducting workshops on Kafka, Flink, MongoDB.
• Performance tuning of various CDC pipelines.
• Establishment and advice on data mesh.

Skills

ETL/ELT pipelines

Stream processing

Distributed databases

Kafka

Flink

MongoDB

Docker

Kubernetes

German language

English language

Tools

Kafka

Flink

MongoDB

Job description

At Acosom we specialize in stream processing, big data, databases anddata-intensive software architectures. For our team, we are looking forexperienced and motivated employees who are enthusiastic about the techindustry, would like to contribute their skills and know-how to the team and areready to master any challenge with us. We promise it’s worth it!

• Design and implementation of modern ETL/ELT pipelines and high-performance data-intensive architectures
• Learning and consulting on stream processing frameworks and distributed databases
• Conducting workshops on Kafka, Flink, MongoDB
• Performance tuning of various CDC pipelines
• Establishment and advice on data mesh

Experiences

• Profound programming skills
• Familiarity with ETL/ELT pipelines
• Experience with distributed OLTP/OLAP/hybrid databases
• Experience with stream processing systems
• Experience with container technologies such as Docker and Kubernetes
• Good knowledge of German or English
• Fully/partially remote work from Switzerland possible without any problems
• Work in the rhythm in which you are productive, with us there are no fixed working hours
• Work alongside IT veterans with over 15 years of experience
• Relocation assistance is offered

Our values

• We trust our employees 100%
• Our decisions are made democratically, without weighting anyone’s job title
• The collective is above the individual, we work as a team
• Loyalty and trust must be earned day by day, that goes for employees as well as employers