Empowered by our motto, "Making Data Matter", Keyrus stands at the forefront of global consultancy in Data & Analytics, AI & Machine Learning, and Digital Transformation. With a presence in 27 countries across 4 continents, we're on a mission to elevate the impact of data.

We are data experts, guiding our clients through their data journey regardless of their level of maturity in analytics. As an end-to-end partner, we address varied challenges that our clients face, from Advanced Analytics, Cloud, Data Governance, Visualisation to Enterprise Performance Management, from advisory to delivery.

With more than 3200 employees in all corners of the world, Keyrus is dedicated to helping businesses taking advantage of the Data and Digital paradigm to enhance their performance, facilitating, and accelerating their transformation, and generating new drivers of growth, competitiveness, and sustainability.

Job Summary 

Keyrus is looking for an We’re looking for a Project Manager – Expert in Migration to oversee key initiatives that internalize and unify tools, enhance data governance, and unlock unparalleled performance. We value individuals who are detail-oriented, independent contributors with exceptional communication and problem-solving skills, ensuring that together, we continue to transform possibilities into reality.

This position is remote.

Note: All applications/CV’s must be submitted in English.

Key Responsibilities

• Develop comprehensive project plans and timelines for migration projects.
• Define and manage project scope, goals, and deliverables.
• Regularly monitor progress to ensure milestones and deliverables are met.
• Act as the primary coordinator, ensuring alignment between technical team members.
• Collaborate with cross-functional teams, where each member serves as the main technical contact for specific areas.
• Lead the migration of data infrastructure to Databricks, enhancing scalability and performance.
• Transition from Qlik Sense to Power BI, centralizing dashboards for improved collaboration.
• Oversee integration of Google data (Analytics, Ads, Search Console) with BigQuery for advanced insights.
• Keep internal stakeholders informed on project updates, challenges, and achievements.
• Provide strategic advice to support business objectives during and after migration.

Requirements for the role 

• Proven experience managing large-scale data migration projects.
• Knowledge of Databricks, Power BI, and BigQuery.
• Expertise in BI tool transitions and data lake architecture.
• Exceptional leadership and coordination abilities in cross-functional environments.
• Proficient in project management methodologies (e.g., Agile, Waterfall).
• Ability to drive collaboration and break down silos in a fast-paced environment.
• Fluent in English
• Must be a Portuguese or European citizen or have a work permit for Portugal

What we offer at Keyrus Portugal:

• Competitive salary based on your skills & experience and according to the Data market practice
• Meal allowance of €8.32 per day
• Flexible benefits option
• Private Medical Insurance
• 22 days of annual leave (increasing every 3 years up to a maximum of 25 days)
• Training Program through KLX (Keyrus Learning Experience) Platform

Why Keyrus?

Joining Keyrus means joining a market leader in the Data Intelligence field and an (inter)national player in Management Consultancy and Digital Experience.

Keyrus Portugal operates on five guiding pillars that shape our approach to work and collaboration – Diversity; Trust; Flexibility; Ownership & Innovation - we're dedicated to cultivating a team as diverse as the challenges we take on. 

We embrace and celebrate the rich variety of backgrounds, perspectives, and talents that each individual brings. We firmly believe that diversity fuels innovation, ignites creativity, and propels us towards greatness. 

Regardless of race, ethnicity, gender, sexual orientation, disability, age, or any other dimension of diversity, everyone is not only welcome but valued here. 

Join us in shaping a future where everyone can thrive!