
¡Activa las notificaciones laborales por email!
Genera un currículum adaptado en cuestión de minutos
Consigue la entrevista y gana más. Más información
A leading analytics consulting firm in Madrid seeks an experienced Data Engineer with over 8 years of industry experience. The role involves strong knowledge of data engineering principles, Pyspark, and Azure technologies. Responsibilities include leading discussions, mentoring junior team members, and implementing data architecture patterns. This position offers excellent career development opportunities in a fast-paced environment and the chance to work on complex user stories.
Tiger Analytics is the largest AI and advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring depth in the industry and deep expertise in Data Science, Data Engineering, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership. We are headquartered in Silicon Valley and have our global delivery center in Chennai, India. We also have a in Europe, Singapore and LATAM markets.
8+ years of overall industry experience specifically in data engineering
Strong knowledge of data engineering principles, data integration, and data warehousing concepts
Very Strong technical developer ( Pyspark, Python, DBX, Azure DE stack (ADF, Logic apps, devOps – CI / CD)).
Preferably Databricks or Microsoft certified Engineer (advanced level certifications)
Hands on person, should be able to write code as he needs to work on complex user stories
Very good at understanding and has ability to implement published common data architecture patterns in Azure.
Ability to lead and guide junior team members in programming & code deployment activities.
Participate in engineering discussions and lead discussions into constructive actionable, tangible task items.
Identify and highlight engineering and business risks at right moments, propose mitigation plans.
Participate in engineering–product scrum discussions and help prioritize, document user stories, and look after
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.