The growth that drives permanent impact and building long -term capabilities with our customers is not easy to work. You are the type that flourishes in a high -performance/high -performance culture culture – do difficult things, pick up yourself when you stumble, and the presence of flexibility to try another way to move forward.

In exchange for your leadership, design and curiosity, we will provide the resources, guidance and opportunities you need to become a stronger leader than you think it is possible. Your colleagues will invest – at all levels – deeply in your development, as much as they invest in providing exceptional results to customers. Every day, you will receive vocational training, training and exposure that will speed up your growth in ways that you will not find anywhere else.

When you join us, you will have:
• Continuing learning: The culture of our vocational learning and training, supported by organized programs, revolves around your help in growing with the creation of an environment in which the comments are clear and implemented and focus on your development. The real magic occurs when the inputs take from others to its heart and embrace a fast -paced learning experience, and possess your journey.
• An important voice: From the first day, we appreciate your thoughts and contributions. It will achieve a tangible effect by presenting innovative ideas and practical solutions. We are not only encouraging various views, but they are crucial in pushing the best possible results.
• The global community: With colleagues in 65 countries and more than 100 different nationalities, the diversity of our company nourishes creativity and helps us to reach the best solutions to our customers. In addition, you will have the opportunity to learn from exceptional colleagues with various backgrounds and experiences.
• World -level benefits: In addition to a competitive salary (based on your site, your experience and skills), we offer a comprehensive benefits package to enable the comprehensive luxury for you and your family.

Your influence

As a data engineer, you will design and database pipelines, to manage safe data environments and prepare data for advanced analyzes during cooperation with multi -functional teams and customers. It will address the real world challenges, contribute to innovative artificial intelligence solutions, and grow as technology through work alongside various experts throughout industries.

In this role, you will design and create a developmentable data pipeline. You will evaluate the landscape of data, ensure data quality, and prepare data for advanced analytical models. In addition, it will manage safe data environments, contribute to research, development, internal asset development projects, and expand your technical experience.

Your business will address the real world challenges across industries. In cooperation with the McKinSey’s Quantumblack and Labs teams, it will help build innovative automatic learning systems that speed up artificial intelligence and solve widespread work problems, allowing customers to have a meaningful effect.

It will be based in Amsterdam or Brussels as part of our global data engineering community. By working on multi -functional graceful teams, you will cooperate with data scientists, automatic learning engineers and industry experts to provide advanced analyzes solutions. In partnership with clients, data owners to C. CEOs at the C level will help solve complex problems that pay the value of the work.

This role provides an exceptional environment for growth as a technician and a collaborator. You will develop experience in the intersection of technology and business by facing various challenges. Surrounded by inspiring and multidisciplinary teams, you will gain a complete understanding of Amnesty International while working with some of the best talents in the world.

Our technology pile

While we call for the use of the right technology for the right task, we often benefit from the following technologies: Python, Pyspark, Pydata Stack, SQL, Airflow, Databricks, Docker Open Open-Opeen, and more, such as AS, AS AS,

Your qualifications and skills
• A degree in computer science, engineering, mathematics, or equivalent experience
• 0-2+ years of experience in building data pipelines in a professional environment (for example, internal training) will be considered plus
• The ability to write a clean and maintenance symbol in a language directed towards the object, for example, Bethon, Scala, Java
• Knowledge of analysis libraries (such as Pandas, Numby, MATPLOTLIB), distributed computing frameworks (EG Spark, DASK), and cloud platforms (such as AWS, Azure, GCP)
• Exposure to software engineering concepts and best practices, Inc. Devops, Dataops and Mlops will be useful
• While we call for the use of the appropriate technology for the right task, we often benefit from the following technologies: Python, Pyspark, Pydata Stack, SQL, Airflow, Databricks, Framewithes Open Open Opens, such as AS, such as AS, AS, AS,
• Strong, verbal and written communication skills, in English, with the ability to adjust your style to suit different views and seniority levels. French or Dutch knowledge is estimated.
• An exceptional time management to meet your responsibilities in a largely complex and independent work environment.

a company:

McKinsey and Partners

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Experience level (years):

Senior (5 years of experience)

Seasoning as follows: industryand Automated learningand Hollandand NLP