At a glanceSummarised by Seekless from the posting.
Must have13
13–14 years of experience in Data Engineering, ETL, Data Warehousing, or related domains
Strong hands-on experience with dbt
Strong hands-on experience with Snowflake
Strong hands-on experience with Apache Airflow
Strong hands-on experience with Python
Strong hands-on experience with SQL
Advanced SQL skills, including complex transformations, query optimization, and performance tuning
Strong Python programming experience for data processing, automation, and validation
Hands-on experience with GitLab, including source code management, CI/CD pipeline creation, GitLab Jobs, GitLab Runners
Strong understanding of Data Structures and Algorithms
Deep knowledge of ETL/ELT, Data Warehousing, Dimensional Modeling, and Data Governance
Experience working on AI/ML projects, including data preparation and feature engineering, ML pipeline integration, MLOps concepts, supporting model deployment and monitoring
Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, Data Science, or a related field
Nice to have3
Experience with AWS, Azure, or GCP
Exposure to Generative AI, RAG architectures, Vector Databases, or AI-powered analytics solutions
Experience leading technical teams and driving architecture decisions
Skills
dbt
Snowflake
SQL
Python
Airflow
Apache Airflow
GitLab CI/CD
GitLab
AWS
Azure
GCP
About the company
Our world is transforming, and PTC is leading the way. Our software brings the physical and digital worlds together, enabling companies to improve operations, create better products, and empower people in all aspects of their business.
Our people make all the difference in our success. Today, we are a global team of nearly 7,000 and our main objective is to create opportunities for our team members to explore, learn, and grow – all while seeing their ideas come to life and celebrating the differences that make us who we are and the work we do possible.
About the role
We are seeking a Senior Data Engineer with 13–14 years of experience in designing, developing, and managing enterprise-scale data platforms and ETL/ELT solutions. The ideal candidate should have strong expertise in dbt, Snowflake, SQL, Python, Airflow, and GitLab CI/CD, along with hands-on experience supporting AI/ML initiatives.
Key Responsibilities
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Develop, and maintain scalable ETL/ELT pipelines using dbt, Snowflake, and Airflow.
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Implement complex business transformation logic using SQL and Python.
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Design and optimize enterprise data models, data marts, and data warehouse solutions.
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Build, schedule, monitor, and troubleshoot workflows using Apache Airflow.
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Develop and automate deployment processes using GitLab CI/CD, including creation and management of jobs and runners.
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Ensure data quality, governance, observability, and performance optimization.
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Support AI/ML initiatives by building feature-ready datasets and scalable data pipelines.
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Collaborate with Data Scientists, Analysts, Architects, and business stakeholders to deliver data-driven solutions.
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Mentor team members and drive best practices in data engineering and software development.
Required Skills
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13–14 years of experience in Data Engineering, ETL, Data Warehousing, or related domains.
•
Strong hands-on experience with:
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dbt
•
Snowflake
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Apache Airflow
•
Python
•
SQL
•
Advanced SQL skills, including complex transformations, query optimization, and performance tuning.
•
Strong Python programming experience for data processing, automation, and validation.
•
Hands-on experience with GitLab, including:
•
Source code management
•
CI/CD pipeline creation
•
GitLab Jobs
•
GitLab Runners
•
Strong understanding of Data Structures and Algorithms.
•
Deep knowledge of ETL/ELT, Data Warehousing, Dimensional Modeling, and Data Governance.
•
Experience working on AI/ML projects, including:
•
Data preparation and feature engineering
•
ML pipeline integration
•
MLOps concepts
•
Supporting model deployment and monitoring
Preferred Skills
•
Experience with AWS, Azure, or GCP.
•
Exposure to Generative AI, RAG architectures, Vector Databases, or AI-powered analytics solutions.
•
Experience leading technical teams and driving architecture decisions.
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, Data Science, or a related field.
Life at PTC is about more than working with today’s most cutting-edge technologies to transform the physical world. It’s about showing up as you are and working alongside some of today’s most talented industry leaders to transform the world around you.
If you share our passion for problem-solving through innovation, you’ll likely become just as passionate about the PTC experience as we are. Are you ready to explore your next career move with us?
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