Senior Software Engineer

Virtusa; Valencia; On-site; EUR 70,000 - 100,000; Full time

Job summary

Virtusa is seeking a seasoned Test Automation & Data Quality Engineer to lead architecture, data pipelines validation, and quality systems across batch and streaming workloads.

You will shape testing strategies, enforce CI/CD gates, collaborate with data engineers and platform teams, and drive proactive reliability through advanced data quality tooling.

Qualifications

• 9+ years in automation or quality engineering.
• 5+ years building frameworks for data platforms at scale.

Responsibilities

• Test Automation Architecture & Strategy for data pipelines (batch and streaming).
• APIs and backend services data testing framework engineering (SQL based assertions and reconciliation).
• Schema validation and evolution checks; break systems proactively (destructive testing mindset).
• ETL and Streaming validation at scale (row, aggregate, and hash based reconciliation).
• Data Quality & Observability integration (Great Expectations, Soda).
• CI/CD & DataOps enforcement (pre-merge gates and release blockers).
• Selective and parallel test execution (test data management).
• Masking and anonymization; encryption and access control considerations.
• Concurrency and stress testing; incident analysis & prevention.

Skills

Programming & Framework Development

Data Engineering Ecosystem

Data Quality & Observability

Streaming Systems

CI/CD & DevOps

Cloud & Infrastructure

API contract testing (PACT)

UI automation for end to end

Data mesh / data product architectures

Tools

Great Expectations

Soda

Job description

Key Responsibilities

• Test Automation Architecture & Strategy Data pipelines (batch and streaming)

APIs and backend services

• Data Testing Framework Engineering SQL based assertions and reconciliation

Schema validation and evolution checks

• Break Systems Proactively (Destructive Testing Mindset) Schema drift and backward incompatibility

Late arriving data and partial failures

• ETL and Streaming Validation at Scale Row, aggregate, and hash based reconciliation

Incremental and backfill validation

• Data Quality & Observability Integration Great Expectations, Soda

Accuracy, completeness, uniqueness, timeliness

• CI/CD & DataOps Enforcement Pre merge gates and release blockers

Selective and parallel test execution

• Test Data Management Synthetic data generation

Masking and anonymization

• Performance & Reliability Testing Pipeline and query performance benchmarks

Concurrency and stress testing

• Security & Compliance Validation PII or PHI exposure

Encryption and access control

• Cross Functional Quality Leadership Work with data engineers, platform teams, and architects to embed quality early

Challenge poor design decisions that impact reliability

• Incident Analysis & Prevention Analyze production data issues and failure patterns

Reduce flaky tests and false alarms

Mandatory Skills

• Programming & Framework Development
• Data Engineering Ecosystem
• Data Quality & Observability
• Streaming Systems
• CI/CD & DevOps
• Cloud & Infrastructure

Desired Skills

• Experience with API contract testing and tools like PACT
• Basic UI automation for end to end validation
• Exposure to data mesh or data product architectures

Experience

• 9+ years in automation or quality engineering
• 5+ years building frameworks for data platforms at scale