Lead Data Engineering Manager

il y a 4 semaines


Paris, Île-de-France N-iX Temps plein
Join N-iX's Data Engineering Team as a Lead Data Engineering H/F

N-iX is a software development service company with a 21-year history, leveraging Eastern European talent to serve Fortune 500 companies and tech startups.

Our Data and Analytics practice, within the Technology Office, specializes in data strategy, governance, and platforms, shaping the future for our clients.

We are seeking a forward-thinking and highly skilled Lead Data Engineering, specialized in Databricks, to helm the engineering side of a significant data transformation program for our customer.

This leader will not only execute standard data engineering tasks but will also leverage advanced techniques like generative AI and other automation methods to optimize data and pipeline migrations.

Key Responsibilities:
  • Define data architectures, data models, and data integration strategies aligned with business goals.
  • Lead the design and implementation of data pipelines and data lakehouse solutions.
  • Establish scalable data pipelines for analytics use cases.
  • Develop and optimize technical and physical data models.
  • Leverage generative AI to streamline workflows and automate pipeline and data migrations.
  • Continuously seek methods to reduce delivery time using automation and generative AI techniques.
  • Collaborate with technology partners to ensure high data quality.
  • Build data solutions following best practices.
  • Mentor the Data Engineering team for quality code production.
Requirements:
  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • Over 6 years of experience in Data Engineering, with a strong emphasis on architecture.
  • In-depth knowledge of data lakehouse concepts, data management processes, and data integration techniques.
  • Experience with performance tuning and optimization of data pipelines.
  • Innovative mindset with a constant eye on improving the productivity of data engineering work.
  • Experience in leveraging generative AI to increase data engineering productivity is highly preferred.

We offer a competitive salary and good compensation package, professional development tools, and a flexible working format - remote, office-based or flexible.


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