Data Quality Automation Engineer

Lansweeper; Roma; Ibrido; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading technology asset intelligence platform in Rome is looking for a Data Quality Automation Engineer to enhance data quality across its systems. This role involves developing automated test frameworks, contributing to the reliability of data pipelines, and working closely with the development team. The successful candidate should have a strong background in data quality, proficiency in Python and SQL, and experience in CI/CD automation. Competitive salary and hybrid working arrangements are part of the offer.

Servizi

Competitive salary according to industry benchmarks

Career growth & learning opportunities

Flexibility in working hours

Engaging company culture with team events

Competenze

• 4+ years in Quality Engineering, Data Quality, or ML Test Automation roles.
• Strong proficiency in Python and SQL for building validation and monitoring tools.
• Experience in testing distributed systems such as API validation and Kafka.

Mansioni

• Work with the development team to deliver high-quality software.
• Implement test frameworks across infrastructure and data pipelines.
• Design and implement automated data quality test plans.

Conoscenze

Python

SQL

CI/CD automation

Data quality frameworks

Distributed systems testing

Cloud-based data infrastructure

Analytical mindset

Communication skills

Strumenti

GitHub Actions

CircleCI

Airflow

Descrizione del lavoro

3 giorni fa

Data Quality Automation Engineer role at Lansweeper

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Context & Impact

Lansweeper’s growth in Asset intelligence means our systems rely on complete, accurate, and trusted data. With the Redjack acquisition, we’re increasing our asset visibility with on‑prem network sensors. We’re building scalable, intelligent pipelines that power our next generation of insights.

To accelerate this transformation, we’re hiring a Data Quality Engineer within our Quality Engineering (QE) Team. You'll help build out automated test systems for Lansweeper’s and Redjack’s integrated Data/ML pipelines, design test plans alongside the team and help test the product, ensuring integrity and reliability.

Your goals

• Implement test frameworks across RedJack’s infrastructure as it integrates with Lansweeper’s architecture.
• Implement data quality test frameworks across combined data pipelines (ML and analytics).
• Automated e2e & regression testing within CI/CD pipelines.
• Ensuring smooth integration of RedJack’s data pipelines with Lansweeper’s systems.
• Testing deployments of network sensors to a variety of IT environments.
• Scaling automated data quality checks across hybrid data environments.
• Embedding data validation and testing into CI/CD pipelines to safeguard model and product reliability.

Key Responsibilities

• Work with the development team to continuously deliver high quality software to production.
• Participate in test planning and cross‑team QA efforts for data products.
• Maintain and write e2e automated test scripts for our CI/CD workflows (CircleCI, Github actions, etc) Deploying and testing Network sensors to various platforms (Linux, Windows, etc) and various IT environments (TAP, SPAN, ERSPAN, NETFLOW, etc)
• Set up monitoring dashboards, alerts, and anomaly detection pipelines for proactive issue management.
• Document and evolve testing strategies for data validation, profiling, and pipeline reliability.
• Design and implement automated data quality test plans for structured and unstructured data within machine learning pipelines.

Job requirements

Hard Skills

• 4+ years in Quality Engineering, Data Quality, or ML Test Automation roles.
• Strong proficiency in Python and SQL for building validation and monitoring tools.
• Skilled in automating tests within CI/CD (Airflow, Kubeflow, MLflow, Github Actions).
• Experience with data quality frameworks (Great Expectations, dbt, Apache Deequ).
• Experience in testing distributed systems (API validation, Kafka, etc).
• Experience with cloud‑based data infrastructure (Snowflake, BigQuery, AWS S3).

Nice To Haves

• Experience with Rust.
• Familiarity with mocking libraries (Mockito, mountebank, etc).
• Familiarity with Docker & Kubernetes.
• Familiarity with Networking concepts.
• Experience in AWS, GCP, and Azure.

Soft Skills

• Analytical mindset with strong problem‑solving capability.
• Excellent communication and cross‑team collaboration.
• Detail‑oriented, structured, and committed to continuous improvement.

Our Offer

• Competitive salary according to industry benchmarks.
• Career growth & learning opportunities within a fast‑scaling SaaS company.
• Flexibility in working hours and hybrid work options.
• Engaging company culture with team events and international collaboration.

Company Info

Lansweeper is the Technology Asset Intelligence platform that transforms raw asset data into trusted, actionable insights — spanning hardware, software, cloud, IoT, and OT. With a single solution, organizations gain full visibility across their technology estate, empowering IT, security, operations, and finance teams to make smarter, faster decisions.

We Help Our Customers

• Tame hybrid infrastructures
• Manage compliance risks
• Reduce complexity by delivering timely, accurate visibility and seamless integration into their ecosystems.

Our Culture Is Built On Four Values

• One Team – united across boundaries
• We Care – customers and people at the center
• We Grow – learning, sharing, improving
• We Deliver – focusing on what truly matters

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Seniority level

Employment type

Job function

Engineering and Information Technology

Software Development

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