Senior Data Engineering Manager - T&T

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 13, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Data Engineering Manager - T&T Region/Country Poland | State/Province/County All-Poland | City Lodz Senior Data Engineering Manager As a Senior Data Engineering Manager at McCormick, you will play a pivotal role in delivering the design, implementation and maintenance of data and analytics solutions from simple to complex and supporting McCormick AI engineers with their data needs. Your responsibilities will include implementing and maintaining data solutions delivering data required by McCormick AI solutions. You will work with Data Scientists and AI Engineers to convert business expectations into data solutions and data models used to deliver AI-driven recommendations to stakeholders and executives. Responsibilities Design and implement scalable ELT pipelines on an Azure analytics platform to ingest, harmonize and transform data into data models optimized for AI consumption. Write efficient and scalable code to transform and clean large volumes of data. Ensure performance, security and data integrity across end-to-end data processing. Cooperate with cross-functional teams to design and deliver new data solutions and improve and enrich existing ones. The role will report to the Azure Analytics Product Owner and requires close collaboration with the entire Enterprise Data Services team and McCormick AI team to conceptualize, visualize, and build an enterprise data management framework. Candidate Profile Proven experience with Azure Databricks. Proven experience with ML/AI tools. Proven experience with Azure Analytics toolset (Data Factory, Synapse, Storage Accounts, Key Vau

Read the full description at careers.mccormick.com. FewerJobs shows a preview and links to the original posting.