Data Engineer F/M/X

5 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

At Amaris Consulting, we’re on the lookout for bold, versatile, and forward-thinking individuals to join our Data & AI Center of Excellence as Data Consultants. Whether your strength lies in analytics, engineering, or machine learning—your expertise belongs here.



What does it mean to be a Data Consultant at Amaris?

As a Data Consultant, you’ll be at the heart of strategic and technical projects for top-tier organizations. From building scalable data pipelines to deploying cutting-edge ML models, your work will directly shape how clients turn raw data into real-world impact. You'll collaborate across teams, industries, and geographies—delivering solutions that matter.



Who we’re looking for:


Data Engineer

You don’t just work with data—you build the engines that power data-driven products. You’re fluent in Python and SQL, and you know how to architect clean, scalable pipelines that deliver results. You’ve worked with AI-enabled solutions, integrating pre-trained models, embeddings, and computer vision into production environments. You love solving problems, thrive in fast-paced product teams, and feel right at home in client-facing settings and global, cross-functional collaborations.



🔥 What You’ll Do as a Data Consultant:

  • Work in cross-functional teams with engineers, scientists, analysts, and project managers
  • Build and optimize data pipelines for AI and product development use cases
  • Collaborate with AI teams to operationalize models, including vision and NLP-based pre-trained systems
  • Participate in client discussions to translate technical needs into valuable solutions
  • Ensure code quality and scalability using best practices in Python and SQL
  • Shape and implement technical solutions across cloud, hybrid, or on-prem environments
  • Support product development initiatives by embedding data capabilities into features
  • Contribute to internal R&D and knowledge-sharing efforts within the CoE



Our Environment & Tech Stack:

  • We’re tech-agnostic and pragmatic: we adapt our stack to each client’s needs. Some of the most used technologies include:
  • Languages: Python, SQL
  • AI & ML: Pre-trained models, embedding models, computer vision frameworks
  • Cloud platforms: Azure, AWS, GCP
  • Orchestration & Transformation: Airflow, dbt, Kedro
  • Big Data & Storage: Spark, Databricks, Snowflake
  • MLOps & DevOps: MLflow, Docker, Git, CI/CD pipelines
  • Product & API Development: REST APIs, microservices (bonus)



Your Profile:

  • 4–5 years of experience as a Data Engineer
  • Excellent skills in Python and SQL
  • Experience with pre-trained models, embeddings, and computer vision
  • Exposure to product development and AI integration in live environments
  • Comfortable in client-facing roles and interacting with international teams
  • Strong communicator with the ability to explain complex topics to both technical and business audiences
  • Fluent in English; additional languages are a plus
  • Autonomous, proactive, and a continuous learner



🚀 Why Join our Data & AI Center of Excellence?

  • Work with major clients across Europe and globally on impactful projects
  • Join a community of 600+ data professionals in our Center of Excellence
  • Access continuous upskilling, tech exchanges, and mentorship opportunities
  • Grow into technical leadership, architecture, or specialized AI domains



We are an independent company that values:

  • Agility – thrive in a flexible, dynamic, and stimulating environment
  • International scope – engage in daily cross-border collaboration and mobility in 60+ countries
  • Intrapreneurship – contribute to transversal topics or launch your own initiatives
  • Attentive management – benefit from personalized support and career development



Amaris Consulting is proud to be an equal-opportunity workplace. We are committed to promoting diversity and creating an inclusive work environment. We welcome applications from all qualified individuals, regardless of gender, orientation, background, or ability.

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