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Caterpillar

Makes heavy machinery, engines and gas turbines

Senior Data Specialist

Data Engineering +1Confirmed live in the last 24 hours
Full-timeKošice, SlovakiaIn-person

About the Job

Requirements

  • Strong hands-on experience developing and maintaining Power BI reports, dashboards, data models, and analytics solutions.
  • Experience working with Snowflake and strong SQL skills for querying, transforming, validating, and troubleshooting data.
  • Working knowledge of Python for data processing, automation, and supporting data engineering solutions.
  • Experience building, maintaining, and troubleshooting data pipelines and ETL processes across multiple data sources.
  • Understanding of data modeling, transformations, data quality, lineage, and modern cloud-based data solutions.
  • Ability to turn business requirements and complex data into reliable analytical datasets, reports, and actionable insights.
  • Familiarity with Agile development, version control, testing, GitHub, VS Code, and GitHub Copilot.
  • Ability to explain technical topics clearly and work effectively with technical and business stakeholders.

Responsibilities

  • Use Power BI extensively to build and support reporting, analytics, and semantic data solutions.
  • Design, build, maintain, and troubleshoot analytical data products and data pipelines using Snowflake, SQL, Python, and modern development tools while improving data quality, consistency, and governance across multiple platforms.
  • Develop reliable, repeatable, and well-documented data products that support decision-making across teams and groups.
  • Follow coding standards, version-control practices, and development workflows using tools such as GitHub, VS Code, and GitHub Copilot.
  • Investigate data discrepancies, reporting inconsistencies, and production issues by tracing data through source systems, transformation logic, and downstream applications.
  • Partner with Product Owners, Business Analysts, Data Stewards, and Analytics teams to translate business needs into scalable technical solutions.
  • Develop documentation describing data definitions, transformations, technical specifications, and lineage, and participate in Agile development, team reviews, and continuous improvement initiatives.

Desired Qualifications

  • A bachelor's degree in Computer Science, Information Systems, Engineering, Data Analytics, Data Science, or a related discipline; equivalent experience demonstrating strong technical capability and measurable results will also be considered.
  • Experience in Data Engineering, Analytics Engineering, Business Intelligence, Data Analytics, Data Science, or a related technical data role.
  • Hands-on experience with Power BI, Tableau, dbt, semantic data layers, enterprise data architecture, data governance, data quality initiatives, or master data management practices.
  • Experience working with Snowflake, SQL, Snaplogic, Python, cloud-based data platforms, modern data engineering practices, and analytical data pipelines.
  • Familiarity with AI-enabled analytics, intelligent automation, agentic AI concepts, or development tools such as GitHub Copilot.
  • Strong communication, collaboration, stakeholder management, and technical documentation skills.
  • Ability to independently investigate complex data challenges, trace information across systems and reporting layers, determine root causes, and communicate findings and recommendations.
  • Ability to work between technical teams and business stakeholders while translating complex concepts into clear, actionable information.
  • Adaptability to changing priorities while balancing project work, troubleshooting, production support, and business requests in a fast-paced environment.
  • Curiosity, attention to detail, and a proactive approach to solving challenging data problems while contributing to a collaborative team environment.

About the Company

Caterpillar

Makes heavy machinery, engines and gas turbines

Caterpillar makes construction and mining machines, diesel and natural gas engines, industrial gas turbines and locomotives for contractors, mines, energy companies and data center builders. It is the world's largest maker of construction and mining equipment, and its yellow Cat bulldozers and excavators work in nearly every country. Customers buy or rent machines through independent Cat dealers, while its engines and turbines generate electricity and push natural gas through pipelines. Caterpillar earns money from equipment sales and from the parts and repairs that dealers supply over a machine's working life. It was formed in 1925 when California's Holt and Best tractor companies merged, and it is based in Irving, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Irving, TX
Founded
1925

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