Senior Engineering Leader for Data Processing and Metrics

hace 2 semanas


Barcelona, Barcelona, España Splio A tiempo completo

At Splio, a leading marketing and digital technology scale-up headquartered in Paris, we are seeking an experienced Senior Engineering Leader to head our Data Processing & Metrics team.

As an Engineering Manager at Splio, you will be directly responsible for the organization and conduct of 1o1's and the well-being of five team members. You will also conduct regular performance evaluations, set clear performance goals, and provide ongoing feedback to team members.

You will empower your team to build better products, providing guidance to help them thrive in their role and grow within the company. Additionally, you will participate in the recruitment of new talents and ensure their integration into the team.

Your key responsibilities will include:

  • Ensuring that projects are completed on time, within budget, meet quality standards, and product goals by defining and monitoring delivery KPIs.
  • Working as an Individual Contributor with the team (50% of your time).
  • Being responsible for the quality of service, following the concept 'you build it, you run it.'

Key challenges you will face include building, managing, and improving several hundred data pipelines. Your focus areas will be:
  • Multi-Tenancy: Every client has its own data schema, ability to build flexible and configurable KPIs.
  • Scalability: Client's data can be big, but the computation and scoring we process for our clients are even bigger.
  • Cost efficiency: Linked to the amount of data to process for each client, we maintain the cost low to make profit.

You will work closely with a Principal Engineer who defines the technical strategy for your team, a Product Manager who defines and specifies product goals, and a Facilitator who supports the team's Agile organization.

The ideal candidate should have a strong background in engineering, allowing you to handle new technologies and challenge technical choices. Key skills include:
  • Languages: SQL, Python

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