Data Governance Engineer

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

Descrizione del lavoro

A leading company in data management seeks a Data Governance Specialist to optimize and automate data governance policies across the data lifecycle. The role includes developing solutions for data quality, security, and metadata management, requiring a robust technical background in SQL and Python, alongside strong analytical skills. This position promises exciting challenges for an experienced professional looking to shape data governance in an innovative environment.

Competenze

• Degree in Computer & Information Science, Engineering, Mathematics, or related fields.
• Advanced knowledge of Python and SQL with experience in relational databases.
• Strong analytical skills with structured and unstructured data.

Mansioni

• Design and implement automatic data governance and management policies.
• Govern the HBX Data Platform Stack, ensuring data security and compliance.
• Manage the full data lifecycle in accordance with policies.

Conoscenze

Advanced Python

SQL

Data Security Management

Root Cause Analysis

Automation

Analytical Skills

Data Literacy

Project Management

Formazione

Degree in Computer & Information Science

Degree in Computer Engineering

Degree in Mathematics

Degree in BI & Data Analytics

Degree in Big Data

Strumenti

Snowflake

ETL tools like Airflow

Data Transformation tools like dbt

Tableau

GitHub

Confluence

Descrizione del lavoro

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, including bad practices detection and data quality issues prevention across different layers of the data stack and phases of the data lifecycle.
• Automatic Data Management policies, procedures, and controls (policy as code) to prevent data misusage across the organization.
• Automatic Data Quality controls, validation, metrics, and alerts.
• Data Observability alerts and workflows.

In coordination with the Data Governance Enterprise Architect, you will design systems for governed and quality data extraction, transformation, and loading from various data sources using SQL, Python, and AWS big data technologies. You will also build or deploy Data Governance tools for Data Analysts and Data Scientists to support product development into an industry leader.

Skills:

Education: Degree in Computer & Information Science, Computer Engineering, Mathematics, BI & Data Analytics, Big Data.

Experience: Advanced Python and SQL knowledge, experience with relational databases, data security management, root cause analysis, automation, and strong analytical skills working with structured and unstructured data.

Technical Skills: Snowflake or similar cloud data warehouse, SQL, Python, RestAPI, ETL tools like Airflow, data transformation tools like dbt, governance platforms like Collibra, visualization tools like Tableau, Git repositories like GitHub, documentation tools like Confluence.

Soft Skills: Excellent communication, project management (Agile, Scrum, Kanban), bilingual in English & Spanish, strategic thinking, results-driven, data literacy, visualization, and innovation skills.

Day-to-day activities include governing the HBX Data Platform Stack, designing automated data governance policies and controls, ensuring data security and compliance, and managing the full data lifecycle in accordance with policies.