Chief Data Engineer leading Scania’s Commercial Data Engineering team for growing sustainable transport solutions. Focused on data products and pipelines for BI, analytics, and AI.
About the role
- Data Engineer at Dow responsible for driving technical implementation and contributing to scalable data product design. Involves complex technical challenges on the Azure Databricks Lakehouse Platform.
Responsibilities
- Collaborate with senior data engineers to translate complex business requirements and ambiguous problem statements into clear, robust, and scalable technical designs and data models.
- Design, build, and deploy high-volume data transformation logic using highly optimized PySpark.
- Contribute significantly to the design and improvement of CI/CD pipelines in Azure DevOps/Git.
- Deeply understand and connect to various source systems.
- Proactively implement and maintain advanced data quality frameworks and monitoring solutions.
- Serve as a go-to technical resource for peers, conducting technical code reviews and informally mentoring Associate Data Engineers.
Requirements
- A minimum of a bachelor’s degree or relevant military experience at or above a U.S. E5 ranking or Canadian Petty Officer 2nd Class or Sergeant OR 5 years relevant experience in lieu of a Bachelor’s degree.
- Minimum of 2 years of professional experience in Data Engineering, Software Engineering, or a closely related field.
- A minimum requirement for this U.S. based position is the ability to work legally in the United States.
- No visa sponsorship/support is available for this position.
- Experience with cloud cost management principles related to compute (Databricks) and storage (ADLS).
- Experience with Infrastructure as Code (e.g., Terraform, ARM templates).
- Proficiency with data visualization and dashboarding tools (e.g., Power BI, Tableau).
Benefits
- Equitable and market-competitive base pay and bonus opportunity across our global markets, along with locally relevant incentives.
- Benefits and programs to support your physical, mental, financial, and social well-being.
- Competitive retirement program that may include company-provided benefits, savings opportunities, financial planning, and educational resources.
- Employee stock purchase programs (availability varies depending on location).
- Student Debt Retirement Savings Match Program (U.S. only).
- Robust medical and life insurance packages that offer a variety of coverage options.
- Opportunities to learn and grow through training and mentoring, work experiences, community involvement and team building.
- Workplace culture empowering role-based flexibility to maximize personal productivity and balance personal needs.
- Competitive yearly vacation allowance.
- Paid time off for new parents (birthing and non-birthing, including adoptive and foster parents).
- Paid time off to care for family members who are sick or injured.
- Paid time off to support volunteering and Employee Resource Group’s (ERG) participation.
- Wellbeing Portal for all Dow employees.
- On-site fitness facilities to help stay healthy and active (availability varies depending on location).
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineer designing and building scalable ETL/ELT pipelines for enterprise - grade analytics solutions. Collaborating with product teams to deliver high - quality, secure, and discoverable data.
Entry - Level Data Engineer at GM, focusing on building large scale data platforms in cloud environments. Collaborating with data engineers and scientists while migrating systems to cloud solutions.
Data Engineer responsible for data integrations with AWS technology stack for Adobe's Digital Experience. Collaborating with multiple teams to conceptualize solutions and improve data ecosystem.
People Data Architect designing and managing people data analytics for Gen, delivering actionable insights for HR. Collaborating across teams to enhance data - driven decision - making.
Data Engineer role focused on shaping future connectivity for customers at Vodafone. Involves solving complex challenges in a diverse and inclusive environment.
VP, Senior Data Engineer responsible for designing and developing cloud data solutions for insider risk in Information Security at SMBC. Collaborating with multiple teams to enhance cybersecurity data platform.
Data Engineer responsible for architecting, developing, and maintaining Allegiant’s enterprise data infrastructure. Overseeing transition to cloud hosted data warehouse and developing next - generation data tools.
Senior Data Engineer developing Azure - based data solutions for clients in the Data & AI department. Collaborating with architects and consultants to enhance automated decision making.
Data Engineer II focusing on strategic ingestion product for Travelers. Building data solutions and collaborating across teams to support analytic transformation.