Data Engineer Lead

• Making Science is a leading digital marketing and technology consulting firm, that is listed in the Madrid Stock Exchange. We are currently expanding our operations internationally, and our offices are located in Madrid, Barcelona, Valencia, Alicante, Mallorca, Lisbon, Paris, London, Dublin, Milan, Padua, Gothenburg, Copenhagen, Stockholm, Ciudad de México, Bogotá, Tbilisi, Miami, Chicago and New York. We are a company that specializes in providing comprehensive marketing and technological solutions for digital businesses. Our team is composed of more than 1100 digital native professionals, who have a wide knowledge in the different stages and disciplines of the digital transformation: Digital Strategy, Infrastructures, Software Development, Creativity and UX/UI Design, Digital Marketing, and Big Data. 
• Making Science is People Centric, and we actively bet on our employees! We believe that they are the key to any successful business, and therefore, our greatest asset. We strive to provide daily learning opportunities for those who work with us and their colleagues. It is also really important that they enjoy what they do, and have positive experiences. We want our employees to feel proud of their accomplishments, and that they belong to a company that is in constant growth, because each person’s contribution is essential to achieve our success. 
• Making Science Group is an equal opportunities employer. We give equal opportunities regardless of ethnicity or national origin, sexual orientation, religion or belief, marital or civil partnership status, age, pregnancy or maternity, colour, race, gender reassignment or disability. 

Technical Lead for a data-centric system rooted in Python and Google Cloud Platform (GCP), responsible for orchestrating the entire data lifecycle, from data ingestion to activation in real-time.

The Technical Lead role combines strong technical expertise in Python, machine learning, data engineering, and GCP services with leadership and project management skills.

The Technical Lead will also mentor and manage a technical team and collaborate with cross-functional stakeholders.

This position demands both hands-on technical proficiency and strategic vision to create innovative, high-performing data systems.

Google Cloud Platform: Proficiency in GCP services, including BigQuery, Cloud Storage, Cloud Run, Dataflow, Vertex AI.

Machine Learning: knowledge of machine learning frameworks and libraries, such as TensorFlow, PyTorch, scikit-learn, and the ability to develop and deploy machine learning models.

Database Management: Understanding of various databases, both relational and NoSQL, for data storage and retrieval. Deep understanding of SQL.

Data Transformation and Cleaning: Skills in data preprocessing, data quality, and cleaning to ensure data integrity.

System Architecture: Ability to design scalable and reliable systems for handling data, from ingestion to activation, with a focus on data pipelines and machine learning infrastructure. 

Version Control: Proficiency with version control systems, like Git, for code management and collaboration.

Certifications: Relevant certifications in GCP, machine learning, or data engineering can be a valuable asset.

Expertise in Javascript and the Node.js framework.

Strong Leadership and Team Management Skills: as this role involves guiding and mentoring a technical team.

Documentation: The ability to document processes, architecture, and project specifications clearly for the team.

Interpersonal Skills: Effective communication skills to collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders.

Strong problem-solving and analytical skills to address technical and business challenges.

A commitment to staying updated with the latest trends in machine learning, data engineering, and cloud technologies.

Knows how to explain complex technical issues to both a technical and non technical audience.