Data Governance Engineer

HBX Group; Belluno; In loco; EUR 40.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading company is seeking a Data Governance Specialist responsible for scaling and automating data governance processes. The role includes designing automatic policies, ensuring data quality, and collaborating on data management projects. Ideal candidates will have advanced programming skills and a strong educational background in data analytics, driving governance and compliance across the data lifecycle.

Competenze

• Master’s degree preferred; experience in BI & Data Analytics.
• Advanced skills in Python and SQL required.
• Strong background in data management and governance.

Mansioni

• Implement automated data governance policies and detect bad practices.
• Design and manage data lifecycle, ensuring compliance with regulations.
• Collaborate with various teams to enhance data management and quality.

Conoscenze

Data Governance

Data Management

Communication

Project Management

Data Quality

Data Security Management

Formazione

Master’s degree in BI & Data Analytics

Education in Computer & Information Science

Strumenti

SQL

Python

Airflow

Tableau

Snowflake

Descrizione del lavoro

You will be responsible for scaling, automating, and optimizing HBX data governance policies and processes across the entire data lifecycle.

This role is a key contributor to delivering and executing the Data Governance Roadmap. You will be actively involved in creating the company's data quality foundations by developing and implementing technical solutions related to:

• Data Governance & Management policies as code
• Automatic Data Observability and Quality metrics implementation
• Effective and efficient Metadata Management & Data Catalogue
• Automation of Data Policies and Procedures
• Automation of Data Security processes and controls

Responsibilities :

Reporting to the Head of Data Governance Office, this role will be responsible for:

• Designing and implementing automatic Data Governance policies and procedures, detecting bad practices, and preventing data quality issues across various data layers and lifecycle phases.
• Designing and implementing automatic Data Management policies, procedures, and controls (policy as code) to prevent data misuse.
• Designing and implementing automatic Data Quality controls, validation, metrics, and alerts.
• Collaborating with Data Governance Enterprise Architect to design data extraction, transformation, and loading processes using SQL, Python, and AWS big data technologies.
• Building and deploying Data Governance tools for Data Analysts and Data Scientists.

Skills

• Education in Computer & Information Science, Computer Engineering, Mathematics, or related fields; Master’s degree in BI & Data Analytics, Big Data preferred.
• Advanced Python skills, experience with databases, enterprise applications, and ML apps.
• Strong SQL knowledge, experience with relational databases, and data security management.
• Experience with data systems automation, root cause analysis, and working with structured and unstructured datasets.

Technical Skills

• Cloud Data Warehouse Platforms: Snowflake or similar
• Programming: SQL, Python, RestAPI
• ETL tools: Airflow, Snowpipe, or similar
• Data Transformation: dbt or similar
• Governance platforms: Collate, Open Metadata, Collibra, Infosphere, Montecarlo, Informatica
• Visualization: Tableau or similar
• Version control: Bitbucket, Gitlab, Github
• Documentation: Atlassian Confluence or similar

Soft Skills

• Excellent communication and project management skills (Agile, Scrum, Kanban)
• Proficiency in English and Spanish
• Strategic thinking, results-driven, data literacy, and visualization skills

Day-to-day activities

• Governance and management of HBX Data Platform Stack, including security, user management, roles, permissions, and policy implementation.
• Design and implement automated data governance policies, detective controls, and alerts.
• Ensure data platform connectivity and governance via API integrations.
• Develop and support data security policies and compliance with regulations like GDPR.
• Manage the full data lifecycle, including upgrades, management, decommissioning, and archiving, in accordance with data retention policies.