Valtech is an experience innovation company that partners with recognized brands and offers growth opportunities, a values-driven culture, and international careers.
The environment at Valtech is designed for continuous learning, meaningful impact, and professional growth.
The role of Data Engineer requires candidates to have strong quantitative backgrounds and analytical discipline.
Ideal candidates should be curious problem solvers, collaborators, and excited by the intersection of technology, creativity, and data.
Responsibilities include building and supporting non-interactive and real-time data pipelines, developing fault-tolerant data computational pipelines, providing consultation for complex programs, maintaining documentation, tuning queries, and performing root cause analysis.
Requirements:
Candidates must have proven industry experience in data engineering, analytics, or data science projects, or possess a Bachelor's/Master's degree in quantitative studies such as Engineering, Mathematics, Statistics, Computer Science, or computation-intensive Sciences and Humanities.
A minimum of 2 years of experience is required in Spark (PySpark) using Databricks, Jupyter Notebooks, or Colab.
Hands-on experience with data pipeline development and Azure orchestration tools like Azure Data Factory (ADF) or Airflow is necessary.
Proficiency in SQL and denormalized data modeling for big data systems is essential.
Candidates should be collaborative, proactive, communicative, and able to work remotely while remaining engaged as a team member.
Strong analytical and design skills are required, along with an advanced level of English.
Benefits:
Valtech offers a competitive compensation package that includes flexibility with remote and hybrid work options, depending on the country.
There are opportunities for career advancement, including international mobility and professional development programs.
Employees have access to cutting-edge tools, training, and industry experts for learning and development.