You will:
- Take ownership of and drive the technical development of scalable, reusable data models and analytics solutions.
- Gather and analyze data requirements, converting business needs into efficient and reusable technical designs.
- Establish and maintain data governance standards, ensuring high data quality and consistency.
- Work closely with data architects, analytics teams, and data scientists to build sustainable data pipelines and analytical solutions.
- Cooperate with business stakeholders and IT teams to deliver solutions that support key business objectives.
- Oversee the integration of multiple data sources to create standardized global data models and KPI frameworks.
- Coordinate and support delivery teams, providing effort estimates and ensuring high-quality project execution.
You bring:
- At least 5 years of professional experience in Data & Analytics.
- Strong expertise in data engineering and architecture, including Spark-based technologies such as Azure Data Factory, Azure Databricks, SQL, and Python.
- Solid understanding of data modeling principles and the ability to guide and mentor engineering teams.
- Hands-on experience with Tableau or Power BI, as well as data governance and management practices.
- Familiarity with version control tools, particularly GitHub.
- Experience in building data products and leading data engineering initiatives.
- Understanding of commercial and business-related data domains.
- Experience working in Agile environments and methodologies.
- Excellent analytical, problem-solving, and communication skills.
- Fluent English and the ability to collaborate effectively in international environments.
