Senior Fullstack Engineer

il y a 2 semaines


Paris, Île-de-France Metyis AG Temps plein

Metyis is growing We are looking for a Senior Fullstack Engineer with 3+ years of experience to join our Technology team in Paris.


Who We Are

The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.

With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

What we offer
  • A balanced work environment where you will have autonomy, responsibility, and ownership while working

  • Be part of a fast-growing company that helps businesses leverage data analytics for better decision-making.

  • Collaborate with a highly skilled, dynamic, and supportive team.

  • Opportunities for career growth and continuous learning in analytics and consulting.

  • Competitive salary and benefits package, including training, mentorship, and travel opportunities.

What you will do
  • Work on a company-wide batch & streaming data processing framework that can be viewed as a software application as part of an IT-Analytics team of data engineers

  • Design, develop, test, and deploy software & data pipelines using various batch & streaming technologies, and automate & monitor CI/CD/CT pipelines for an Azure based Data Platform

  • Optimize existing code for performance, reliability, and scalability

  • Debug and troubleshoot issues and provide technical support as needed

  • Follow best practices and standards for coding, documentation, testing, and security

  • Mentor and provide technical guidance to other data professionals, fostering a culture of knowledge sharing and continuous learning

  • Be proactive and be willing to work closely with Data Science, DevOps/MLOps, Cloud Infrastructure, or IT-Security colleagues

  • Research and evaluate new technologies and trends to improve existing software or create new solutions

What you'll bring
  • Academic degree in computer science, software engineering, machine learning engineering, or related field

  • From 3 to 8 years of professional software development experience using languages such as Python, Spark, SQL, Scala, or Rust

  • Strong knowledge of cloud technology such as Microsoft Azure, or GCP

  • Strong knowledge of all-in-one analytics platforms such as Databricks, or Microsoft Fabric

  • Strong knowledge of data pipeline orchestration platforms such as Azure Data Factory, or Control-M

  • Experience in using data warehouse and data lake solutions such das SAP BW and Azure Data Lake

  • Experience with test driven development as well as with testing & data quality frameworks such as pytest, or great expectations in Python

  • Experience with SQL & No-SQL databases such as Azure SQL, or MongoDB

  • Experience with RESTful APIs and microservice architecture

  • Experience with GIT version control

  • Strong knowledge of software design patterns & principles, functional programming, and object-oriented programming

  • Strong ability to write clean, maintainable and scalable code

  • Strong knowledge of Azure Event Hub, Apache Kafka and its ecosystem

  • Strong knowledge of stream processing frameworks such as Confluent KSQL, or Spark Structured Streaming

  • Strong knowledge of containerisation and orchestration technologies such as Docker, or Kubernetes

  • Experience with data serialization languages such as JSON, or YAML

  • Experience with infrastructure as code such as Terraform

  • Experience with DevOps tools such as Azure DevOps, or GitHub

  • Experience with agile methodologies, such as Scrum or Kanban (e.g. with tools such as Azure DevOps, or Jira/Confluence)

  • Excellent communication, collaboration, and problem-solving skill

In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.


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