Senior Data Science Engineers

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in Argentina
Remote
Senior level
Information Technology • Consulting
The Role
Design, build, and maintain data warehouses and processing pipelines; develop and deploy machine learning models; perform requirement analysis, planning, design, development, and testing; collaborate across product, operations, and engineering teams to deliver reliable, high-performance data solutions using agile methodologies.
Summary Generated by Built In

Join a diverse team of approx. 2000 professionals across four continents, driving innovation and growth within intive’s technology hubs. Work alongside industry experts trusted by leading brands like Audi, BMW, Deichmann, Meta, NewsCorp, Tandem, Paramount, Vorwerk, and Warner Bros. Discovery to create pioneering, sustainable digital experiences.

At intive, agile thinking and deep industry expertise come together across Automotive & Mobility, Commerce, Financial Services, Healthcare & Life Sciences, and Technology, Media & Communication. Be part of a team that’s shaping the future of digital innovation.

What You Will Be Doing 

  • Design and build clean data Wherehouse and data processing.   

  • Participate in the entire development process, from designing small components to independently completing user stories.  

  • Lead and contribute to requirement analysis, planning, design, development and testing.  

  • Break down complex problems into manageable tasks and contribute to well-architected solutions.  

  • Collaborate with peers and seniors within your team and across the organization.  

  • Work with product managers using agile methodologies to deliver high-quality solutions on time.  

  • Partner with operations teams to ensure applications and services are highly available and reliable.  

  • Understand and address engineering-related concerns such as performance, network utilization, and resource impact.  

You Are a Good Match If You Have: 

  • 2-3 years of experience in developing and deploying machine learning models.

  • Intermediate level or greater experience with SQL or Spark.

  • Intermediate to advanced knowledge with Python.

  • Experience working with Snowflake or other as a data warehouse.

  • Proven experience building dimensional data models.

  • Hands-on experience with DBT for data transformation and testing.

Why Join intive? 

We cultivate an environment where innovative ideas and excellence have room to thrive - even with a remote workforce. Our culture of learning rewards curiosity and gives our team members opportunities to learn, grow, and own the evolution of their careers. 
 

  • Career Path Planning – You can create a career path based on your goals. We provide training, mentoring, and support to help you along the way. 

  • Training & Mentorship – Learning and Development is a big part of our company culture. You will have unlimited access to Udemy, internal courses and training, and a robust mentorship program. 

  • Hubs – You will join the community of intivers sharing the same professional profile. There is space for knowledge sharing with people with similar capabilities to yours and to access the latest technology trends. 

  • Culture & Connection – We cultivate connections within teams, across functions, and up and down the org chart. We make sure everyone is noticed and feels connected to our mission and each other. 

 
All intive entities are joint controller of your personal data. Your data will be processed for recruitment purposes only. You’ll find more information, especially about your rights connected with data processing, in our Privacy Policy, especially in “Conducting recruitment activities” part.” 

Skills Required

  • 2-3 years of experience developing and deploying machine learning models.
  • Intermediate level or greater experience with SQL or Spark.
  • Intermediate to advanced knowledge of Python.
  • Experience working with Snowflake or another data warehouse.
  • Proven experience building dimensional data models.
  • Hands-on experience with dbt for data transformation and testing.
  • Experience designing and building clean data warehouses and data processing pipelines.
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The Company
HQ: Munich
1,742 Employees
Year Founded: 1999

What We Do

intive is a global technology company that combines deep industry expertise, user-centric design, and world-class software engineering. With its human-centric approach, intive creates digital products that empower users, deliver business value, and make an impact on society. intive has over 24 years of experience innovating with customers across industries, including Technology, Media and Communications, Retail, Automotive, FinTech, and Telecommunications. By focusing on creating sustainable impact through digital products, intive has won the trust of leading brands such as Audi, BASF, BMW, Deichmann, Discovery, Facebook, Tandem, Paramount, and Vorwerk. Headquartered in Munich, Germany, intive is present across Europe, Asia and the Americas, with a diverse team of +2,000 people

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