Senior Data Engineer

intro; Madrid; Híbrido; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

A leading FinTech firm in Madrid is seeking a Senior Data Platform Engineer. The role involves leading the development of a robust data platform, collaborating with various teams, and driving innovation in data solutions. Ideal candidates should possess strong proficiency in Python and SQL, along with experience in data warehousing and cloud platforms. This position offers a hybrid work environment with 4 days onsite and 1 day remote.

Formación

• Strong proficiency in Python for data transformation and validation.
• Expertise in SQL, handling large datasets.
• Solid understanding of data modelling techniques.

Responsabilidades

• Lead the development of a robust and scalable data platform.
• Collaborate cross-functionally for actionable insights.
• Evaluate and implement technologies for data infrastructure.

Conocimientos

Python for data transformation

SQL expertise

Data modelling techniques

Graph database modelling

Data warehousing experience

Cloud platforms (GCP preferred)

Financial Services experience

Descripción del empleo

Senior Data Platform Engineer - Hybrid 4 days Onsite / 1 day Remote

Location : Madrid / Malaga

About the Company

Join a thriving FinTech firm, known for being one of the fastest-growing international companies in its sector. With its headquarters in London, the company boasts over 1,500 staff from more than 50 nationalities, working across 27 offices worldwide, serving over 45,000 clients daily.

About the Team

You’ll be a key player in the Data Platform team, responsible for designing, building, and maintaining scalable and resilient data solutions. As a Senior Data Platform Engineer, you'll collaborate with stakeholders across the business to understand data needs, drive innovation, and help shape the future of the platform.

Responsibilities

• Lead the development and maintenance of a robust and scalable data platform
• Collaborate cross-functionally to deliver actionable insights from diverse data sources
• Evaluate and implement emerging technologies to enhance data infrastructure
• Establish and uphold data governance standards to ensure quality and compliance

Technical Skills / Experience Required

• Strong proficiency in Python for data transformation and validation
• Expertise in SQL and experience handling large structured and unstructured datasets
• Solid understanding of data modelling techniques (e.g., dimensional modelling, slowly changing dimensions)
• Experience with graph database modelling (a plus)
• Proven experience with data warehousing, data lakes, and cloud platforms (GCP preferred – BigQuery, Cloud Run, Cloud Functions)
• A proactive, curious mindset with a passion for innovation and continuous improvement
• Experience working in the Financial Services sector (ideally FinTech) is essential for the role