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Big Data Engineer

Location: Amsterdam Salary: Negotiable
Sector: IT & Telecoms Specialism:
Type: Contract Contact: Mark Crorkin

Big Data Engineer

My client is looking for a hands-on experienced data engineer capable of leading the technical decisions of the team, communicating these decisions and their trade-offs clearly to different stakeholders (business, engineers, architects, POs, managers etc) and implement them in practice

Responsibilities of the Big Data Engineer

  • Create and design software tooling/methodologies for efficient design of Machine Learning accelerators in our data analytics landscape.
  • Work with business and technical stakeholders across functions to identify, analyze, sell, and prove opportunities to apply ML to existing and new use-cases.
  • Support the ED&A teams and lead by example on how to create production ready ML models using all the best practices and the MLOps methodology.
  • Design and prove optimal data pipeline architectures to support M
  • Design, manage and support the preparation of large, complex data sets in line with functional and technical requirements.
  • Understand and implement practices to comply with GDPR and other data privacy requirements.
  • Provide hands-on leadership, coaching, mentoring, and ML engineering best practices with squads.
  • Work collaboratively with internal, Geo and external partners.
  • Conceptual intelligence and creativity of a Solution Architect)

Skills

  • Proven track-record of deploying software products powered by ML using large commercial datasets and pipelines
  • Experience in partnering with business stakeholders to shape process optimization use cases powered by ML
  • Real world experience in applying MLOps; operating ML models in production
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of schema formats
  • Solid experience building and optimizing big data pipelines, architectures and data sets.
  • Strong analytic skills related to working with unstructured datasets.
  • Algorithmic modelling of machine learning workloads
  • Strong experience with knowledge and metadata management principles and methods.
  • Hands on experience with MSBI stack, a bonus
  • Working knowledge of REST and implementation patterns pertaining to Analytics.
  • Solid experience with advanced analytics/ML modeling/Visualization tools

Big Data Engineer - Amsterdam

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