Data Governance Engineer

JR Italy; Siena; In loco; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

A leading company in data governance is looking for a professional to optimize and automate data governance policies. In this role, you'll develop technical solutions ensuring data quality and security while collaborating with a team to implement strategic data management practices. Ideal candidates will possess advanced skills in Python and SQL, along with a Master's degree related to data analytics.

Competenze

• Master's in BI & Data Analytics required.
• Advanced skills in SQL and Python, plus experience in data governance.
• Strong analytical skills with multiple data types.

Mansioni

• Design and implement automated data governance policies.
• Manage the HBX Data Platform Stack including security and user management.
• Ensure compliance with data security regulations.

Conoscenze

Data Security management

Strong analytical skills

End-to-end process orientation

Formazione

Master's Degree in BI & Data Analytics, Big Data

Strumenti

SQL

Python

ETL tools: Airflow

Data Visualization: Tableau

Descrizione del lavoro

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

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

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

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 phases of the data lifecycle
• 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 controls
• Designing and implementing automatic Data Observability alerts & workflows
• Collaborating with the Data Governance Enterprise Architect to design the optimal data architecture & infrastructure for governed and quality data extraction, transformation, and loading using SQL, Python, and AWS technologies
• Building and deploying Data Governance tools to support Data Analysts and Data Scientists in developing innovative products

Skills

Education:

• Master's Degree in BI & Data Analytics, Big Data

Experience:

• Advanced Python knowledge and experience with databases for enterprise applications and ML
• Advanced SQL knowledge and experience with relational databases
• Data Security management (encryption, masking, GDPR, PCI, secrets, SSO, MFA)
• Experience in root cause analysis and process improvement
• Experience in Data systems automation and administration
• Strong analytical skills 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
• Data Management & Governance platforms: Collate, Collibra, Infosphere, Montecarlo, Informatica
• Data Visualization: Tableau or similar
• Version Control: Bitbucket, Gitlab, Github
• Documentation: Atlassian Confluence or similar

Soft Skills:

• Project Management: Agile, Scrum, Kanban
• End-to-end process orientation
• Strategic Thinking
• Data literacy and promoting a data-driven culture

Day-to-day activities:

• Managing the HBX Data Platform Stack in terms of security, user management, roles, permissions, and policies
• Implementing automated data governance policies and preventive controls
• Designing detective controls and alerts across the organization
• Ensuring system connectivity via API for data governance and consistency
• Implementing data security policies to ensure compliance with regulations
• Supporting the full data lifecycle management in line with data retention policies