Project Manager Data | Lisboa

Decskill; Lisboa; Presencial; EUR 52 000 - 80 000; Tempo integral

Resumo da oferta

Decskill is seeking a Data Integration Engineer to join an international data team building a global Marketing & Sales Data Platform. You will design, integrate, and maintain data solutions that enable a unified view of the customer journey from campaigns to revenue across multiple countries.

The role focuses on scalable data pipelines with Snowflake, CRM integrations (Salesforce, HubSpot, Dynamics), data modelling, and data quality.

Qualificações

• Experience with Snowflake or modern cloud data platforms.
• Experience designing and maintaining data pipelines (ETL/ELT).
• Experience with data modelling and data quality frameworks.
• Experience integrating CRM, Marketing, or Sales platforms (e.g., Salesforce, HubSpot, Dynamics, Funnel.io).
• Understanding of Data Warehouse concepts and modern analytics architectures.
• Experience working in Agile environments (Scrum/Kanban).
• Strong communication and stakeholder management skills.
• Experience working in international or distributed teams.

Responsabilidades

• Design, develop, and maintain scalable data pipelines using cloud platforms, with a focus on Snowflake.
• Integrate data from CRM, marketing, and business systems (Salesforce, HubSpot, Dynamics).
• Develop and optimize data models for Marketing & Sales analytics across the customer lifecycle.
• Define and implement data quality controls, monitoring, and standards.
• Create reusable standards, templates, and reference implementations for international scalability.
• Provide technical guidance to teams across countries on data integration and data product development.
• Collaborate with Product Owners, Stakeholders, BI teams, and Data Platform teams.
• Support the adoption of Data Mesh principles and best practices across the organization.

Conhecimentos

Strong communication

Stakeholder management

Agile (Scrum/Kanban)

International teams

Mentoring teams

Ferramentas

Snowflake

Salesforce

HubSpot

Dynamics

Funnel.io

Descrição da oferta de emprego

We are looking for a Data Integration Engineer to join an international data team responsible for building and scaling a global Marketing & Sales Data Platform.

This role will play a key part in designing, integrating, and maintaining data solutions that support business decision-making across multiple countries, enabling a unified view of the customer journey from marketing campaigns to revenue and profitability.

Responsibilities

• Design, develop, and maintain scalable data pipelines using modern cloud data platforms, with a strong focus on Snowflake.
• Integrate data from CRM, marketing, and business systems, including platforms such as Salesforce and campaign management solutions.
• Develop and optimize data models to support Marketing & Sales analytics across the full customer lifecycle.
• Define and implement data quality controls, monitoring processes, and data standards.
• Create reusable technical standards, templates, and reference implementations to support international scalability.
• Provide technical guidance and mentoring to teams across different countries on data integration and data product development.
• Collaborate closely with Product Owners, Business Stakeholders, BI teams, and Data Platform teams.
• Support the adoption of Data Mesh principles and best practices across the organization.

Requirements

Experience with Snowflake or modern cloud data platforms.

Experience designing and maintaining data pipelines (ETL/ELT).

Experience with data modelling and data quality frameworks.

Experience integrating CRM, Marketing, or Sales platforms (e.g., Salesforce, HubSpot, Dynamics, Funnel.io).

Understanding of Data Warehouse concepts and modern analytics architectures.

Experience working in Agile environments (Scrum/Kanban).

Strong communication and stakeholder management skills.

Experience working in international or distributed teams.

Nice to Have

• Experience with Data Mesh.
• Marketing Analytics or Sales Analytics exposure.
• Knowledge of CRM data models.
• Experience supporting multiple countries or global data products.
• Experience mentoring teams and promoting data best practices.