Head of Data Engineering

il y a 6 heures


Paris, Île-de-France Nivoda Temps plein
About Nivoda

Nivoda is a leading B2B diamond and gemstones marketplace, connecting jewellery retailers to gemstone suppliers. Our platform enables businesses to buy and sell diamonds in a profitable, efficient, and hassle-free manner.

With a team of over 400 employees worldwide and a wealth of experience in the industry, Nivoda has developed an award-winning solution that empowers jewellery businesses to make informed decisions.

About the Role

We are seeking a Head of Data Engineering to lead our data strategy and drive business growth. As a key member of our team, you will be responsible for defining and delivering our data engineering, data governance, and data science roadmap.

You will work closely with department heads to empower our customers and drive business decisions. Your expertise will be crucial in building and managing teams, implementing platforms and processes, and delivering high-quality data insights.

Key Responsibilities
  1. Strategy Development: Craft and own the data engineering, data science, and data governance roadmap, aligning high-priority projects with cross-functional partners.
  2. Team Management: Lead a team of engineers and analysts, fostering collaboration with internal stakeholders to execute the strategy effectively.
  3. Data Governance: Implement and take forward our data governance strategy, ensuring the security and integrity of our data.
  4. Strategic Planning: Develop short and long-term strategies to enhance revenue growth and preserve platform value.
  5. Operational Excellence: Spearhead the enhancement of operational tooling strategies and vendor relationships to deliver impactful insights.
Your Qualifications and Experience
  • Proven track record in leading and managing diverse data teams.
  • Demonstrated ability to drive a data strategy that aligns with business objectives.
  • Strong people management skills with a focus on fostering collaboration and professional development.
  • Deep knowledge of data engineering, data science, and business intelligence tools and methodologies.
  • Experience with cloud data platforms and ML model frameworks.
Preferred Qualifications
  • Leadership of previous data function with strong stakeholder management.
  • Management consulting, marketplace growth operations, or strategy work in a large business.
What We Offer
  • Dynamic working environment in a fast-growing company.
  • Intellectually challenging work with opportunities for growth and scalability.
  • Collaborative and supportive work environment with flexible working hours.

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