Lead Data Consultant
HybridPorto, Porto, Portugal
Job Summary
Provide expert advisory services to clients on advanced analytics and data engineering best practices, ensuring delivery of scalable and efficient solutions. Lead teams and projects, supporting all aspects of delivery from requirements gathering to solution design and implementation. Capture client requirements and lead the development of solution architectures that meet both current and future business needs. Design and develop bespoke Data Platform, Business Intelligence, and Advanced Analytics solutions, leveraging the latest cloud technologies. Lead the design, implementation, and optimisation of enterprise data engineering solutions on Microsoft Fabric and Azure Databricks. Build and oversee the development of dynamic, interactive reports and dashboards using Power BI. Guide teams in data modelling and transformation efforts, ensuring the development of optimised data architectures, including the design of ETL/ELT pipelines. Mentor and guide junior team members, sharing knowledge and best practices to support their professional development. Actively contribute to the development of the team in Portugal, ensuring close ties to the rest of the European team.
Required Qualifications
- 10+ years of experience designing and delivering cloud-based Data Engineering, Analytics, and AI solutions, ideally within a consulting or systems integration environment
- Extensive experience in a client-facing role, previously working for a consultancy or systems integrator, with a proven track record of leading teams or projects
- Hands-on experience with modern programming languages such as Python and SQL
- Familiarity with data integration tools like Azure Data Factory and data platform solutions such as Microsoft Fabric and/or Databricks
- Expertise in data visualisation and analytics using Power BI, QlikView or Tableau
- Strong experience in data modelling and transformation, including the design of ETL/ELT processes and data warehousing solutions
- Experience or awareness of Big Data and Data Science and/or AI technologies, including the integration of Machine Learning models and/or Generative AI components
- Experience in leading, mentoring, and developing Data & Analytics teams, with a passion for coaching and growing talent
- Demonstrated leadership within the Data Engineering and AI domain, acting as a trusted advisor to clients and internal teams
- Excellent communication, problem-solving, and client management skills
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