Manager - Data Engineering

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

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Salary

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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

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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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

Manager - Data Engineering Bengaluru, KA, India Company Description: Every minute of every day, Smiths Detection's threat detection and security screening technology helps to protect people and infrastructure, making the world a safer place. Smiths Detection is a global leader in the development, manufacture and management of security and detection solutions designed to make the world a safer place. Our technology provides threat detection and screening solutions for customers in our key markets: aviation, ports and borders, defence, and urban security. Our expertise spans 21 global offices, seven manufacturing sites and five R&D centres, with a global network of 3,000 dedicated colleagues contributing towards over 40 years at the frontline of advances in safety and security. This results in careers built on variety and the opportunity to work on a range of state-of-the-art solutions, where you can develop your knowledge and experience every day. Job Description: Duties / Key Responsibilities: Supervise and manage a team of Data Engineers, providing technical guidance, mentorship, performance review and support for professional development. Own the Data Lake architecture setup, maintenance, and optimization across the enterprise platform. Lead the design and implementation of data ingestion, transformation, and integration pipelines, including ETL/ELT workflows across enterprise systems such as SAP and Salesforce. Ensure compliance with data governance, privacy, and security standards in alignment with organizational policies. Define and implement data engineering best practices, including version control, CI/CD, performance tuning, and automation across all delivery activities. Oversee data quality frameworks, validation rules, and monitoring processes to ensure accuracy

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