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Salary
≈ $15k – $35k per year (Estimated)
Location
Remote (India)
Seniority
Middle · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Nov 13, 2025. Daimler Truck scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Daimler Truck is a German commercial vehicle manufacturer headquartered in Leinfelden-Echterdingen near Stuttgart, building trucks and buses under brands including Mercedes-Benz Trucks, Freightliner, Western Star, Thomas Built Buses, FUSO and Daimler Buses. Spun off from the former Daimler group and listed in Frankfurt since December 2021, it runs more than 40 production sites with over 100,000 employees, with Daimler Truck North America based in Portland, Oregon. Openings range from paint shop and warehouse staff in Mannheim, Ulm and Gaggenau to product design, simulation, quality and software engineers, credit analysts, accountants, interns and thesis students.

Tasks

ABOUT US

For internal job postings, you can remove that introduction text below

At Daimler Truck, we change today’s transportation and create real impact together. We take responsibility around the globe and work together on making our vision become reality: Leading Sustainable Transportation. As one global team, we drive our progress and success together - everyone at Daimler Truck makes the difference. Together, we want to achieve a sustainable transportation, reduce our carbon footprint, increase safety on and off the track, develop smarter technology and attractive financial solutions. All essential, to fulfill our purpose - for all who keep the world moving.

Become part of our global team: You make the difference - YOU MAKE US

This platform team is core of Data & AI department for Daimler truck helps developing world class AI platforms in various clouds(AWS, Azure) to support building analytics solutions, dashboards, ML models and Gen AI solutions across the globe.

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines using Snowflake and other cloud-based tools.
  • Implement data ingestion, transformation, and integration processes from various sources (e.g., APIs, flat files, databases).
  • Optimize Snowflake performance through clustering, partitioning, and query tuning.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
  • Ensure data quality, integrity, and security across all data pipelines and storage.
  • Develop and maintain documentation related to data architecture, processes, and best practices.
  • Monitor and troubleshoot data pipeline issues and ensure timely resolution.
  • Working experience with tools like medallion architecture, Matillion, DBT models, SNP Glu are highly recommended
  • Data Modelling experience and exposure to Medallion architecture

Required Skills & Qualifications:

  • Bachelor’s degree/Master's degree in Computer Science, Information Systems, or a related field.
  • 4-5 years of experience in data engineering or a similar role.
  • Strong hands-on experience with Snowflake (data modeling, performance tuning, SnowSQL, etc.).
  • Proficiency in SQL and experience with scripting languages like Python or Shell.
  • Experience with ETL/ELT tools such as dbt, Apache Airflow, Informatica, or Talend.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and services like S3, Lambda, or Data Factory.
  • Understanding of data warehousing concepts and best practices.
  • Candidate should have excellent communication skills, willing to reskill, adopt and build strong stakeholder relationship
  • An active team member, willing to go the miles and bring innovation at work

WHAT WE OFFER YOU

Note: Fixed benefits that apply to Daimler Truck, Daimler Buses, and Daimler Truck Financial Services.

Among other things, the following benefits await you with us:

  • Attractive compensation package
  • Company pension plan
  • Remote working
  • Flexible working models, that adapt to individual life phases
  • Health offers
  • Individual development opportunities through our own Learning Academy as well as free access to LinkedIn Learning
  • + two individual benefits

Qualifications

Required Skills & Qualifications:

  • Bachelor’s degree/Master's degree in Computer Science, Information Systems, or a related field.
  • 4-5 years of experience in data engineering or a similar role.
  • Strong hands-on experience with Snowflake (data modeling, performance tuning, SnowSQL, etc.).
  • Proficiency in SQL and experience with scripting languages like Python or Shell.
  • Experience with ETL/ELT tools such as dbt, Apache Airflow, Informatica, or Talend.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and services like S3, Lambda, or Data Factory.
  • Understanding of data warehousing concepts and best practices.
  • Candidate should have excellent communication skills, willing to reskill, adopt and build strong stakeholder relationship
  • An active team member, willing to go the miles and bring innovation at work

You don’t bring everything with you? No problem! We look for skills but hire for attitude!

#MAKEYOURMOVE and apply now - we‘re looking forward to it!

At Daimler Truck, we promote diversity and stand for an inclusive corporate culture. We value the individual strengths of our employees, because these lead to the best team performance and thus to the success of our company. Inclusion and equal opportunities are important to us. We welcome applications from people of all cultures and genders, parents, people with disabilities and people of any community.

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