Aveva

2 days ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Design, build, and optimize scalable data pipelines for enterprise business intelligence, analytics, and reporting. Partner with data analysts, business stakeholders, and technology teams to ensure reliable, accessible data. Develop ETL/ELT integrations, data models, and warehousing solutions with strong quality and performance. Support both batch and real-time processing, troubleshoot issues, maintain documentation, and uphold data governance, security, privacy, and regulatory requirements.

Location: California

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Design, develop, and maintain scalable data pipelines using Azure Synapse Analytics and related Azure services.
•Build and support data integration and ETL/ELT processes to ingest, transform, and consolidate data.
•Develop and maintain data models and data warehousing solutions for enterprise reporting and analytics.
•Implement data cleansing, transformation, validation, and enrichment to ensure high-quality data.
•Monitor, troubleshoot, and optimize pipeline performance for reliability, scalability, and compliance with governance/security/privacy requirements.

Pay and Benefits

Salary: USD 89,100 - 148,700 annually

Perks:MedicalDentalVision401kParental LeavePaid LeaveWell-being Support

Key Requirements

•Bachelor’s degree in Engineering, Computer Science, Information Systems, Mathematics, Statistics, or another STEM-related field.
•Minimum 3 years of professional experience in Data Engineering, Data Warehousing, or a related field.
•Experience designing and developing data pipelines and ETL/ELT processes.
•Experience working with SQL and relational database technologies.
•Experience supporting data integration, transformation, and data quality initiatives.

Experience:3+ yearsData engineeringData warehousing

Education:Bachelor's in Engineering, Computer Science, Information Systems, Mathematics, Statistics, or another STEM-related field

Skills:AnalyticalProblem-solvingTroubleshootingCommunicationCollaboration

Tech Stack:AzureAzure Synapse AnalyticsAzure Data FactoryAzure Data LakeSQLPythonSparkETLELTData warehousingBatch processingReal-time processing

Company Brief

Aveva

Provides industrial software for engineering, design, and information management across industries including oil & gas, manufacturing, and utilities. Delivers solutions for digital transformation, asset performance, and operations optimization.

Industry: Industrial Automation

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cambridge, United Kingdom

Founded: 1967

Glassdoor: 3.6

Website LinkedIn

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Aveva

2 days ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: California

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Design, develop, and maintain scalable data pipelines using Azure Synapse Analytics and related Azure services.
•Build and support data integration and ETL/ELT processes to ingest, transform, and consolidate data.
•Develop and maintain data models and data warehousing solutions for enterprise reporting and analytics.
•Implement data cleansing, transformation, validation, and enrichment to ensure high-quality data.
•Monitor, troubleshoot, and optimize pipeline performance for reliability, scalability, and compliance with governance/security/privacy requirements.

Pay and Benefits

Salary: USD 89,100 - 148,700 annually

Perks:MedicalDentalVision401kParental LeavePaid LeaveWell-being Support

Key Requirements

•Bachelor’s degree in Engineering, Computer Science, Information Systems, Mathematics, Statistics, or another STEM-related field.
•Minimum 3 years of professional experience in Data Engineering, Data Warehousing, or a related field.
•Experience designing and developing data pipelines and ETL/ELT processes.
•Experience working with SQL and relational database technologies.
•Experience supporting data integration, transformation, and data quality initiatives.

Experience:3+ yearsData engineeringData warehousing

Education:Bachelor's in Engineering, Computer Science, Information Systems, Mathematics, Statistics, or another STEM-related field

Skills:AnalyticalProblem-solvingTroubleshootingCommunicationCollaboration

Tech Stack:AzureAzure Synapse AnalyticsAzure Data FactoryAzure Data LakeSQLPythonSparkETLELTData warehousingBatch processingReal-time processing

Company Brief

Aveva

Industry: Industrial Automation

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cambridge, United Kingdom

Founded: 1967

Glassdoor: 3.6

Website LinkedIn