Engineering Manager - Data Processing & Metrics

Résumé du poste
CDI
Salaire : Non spécifié
Télétravail occasionnel
Expérience : > 5 ans
Compétences & expertises
Contenu généré
Python
Sql
Dbt
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Splio
Splio

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Le poste

Descriptif du poste

Our company

Splio is a scale-up in the marketing and digital technology market, headquartered in Paris. The company has about 200 employees in 4 offices across Europe and MEA.

Splio publishes a SaaS marketing platform that integrates CDP and Marketing Automation, as well as all essential CRM features (loyalty, Mobile Wallets), into a single platform powered by AI.

The platform enables CRM teams in retail, e-commerce, FMCG, and Telecoms to communicate and engage with their customers in a personalized manner across all channels (email, SMS, Push Wallet...).

More than 500 retail, e-commerce, FMCG, and Telecom companies across Europe and the MEA use Splio on a daily basis, including Nature et Découvertes, Longchamp, Bazarchic, APC, The Kooples, Fnac-Darty, Micromania, Faguo, Cyrillus, Orange, and Samsung.

    Job description

     💌 Your role as Engineering Manager:

    • Be directly in charge of the Data Processing & Metrics team : organize and conduct 1o1’s & make sure of the well-being of 5 team members
    • Conduct regular performance evaluations (mid-year and end-year), set clear performance goals for all team members, and provide ongoing feedback to team members
    • Empower your team to build better products and provide guidance to help them to thrive in their role and grow within the company
    • Participate in the recruitment of new talents and ensure their integration in the team
    • You are accountable for team organization, efficiency to allow expected delivery
      • Ensure that projects are completed on time, within budget, meet quality standards and product goals by defining and monitor the delivery KPIs.
    • You work as Individual Contributor with the team (50% of your time)
    • You are responsible for the quality of service, we follow the concept “you build it, you run it”:
      • Build, manage & improve several hundred data pipelines
      • Focus on :
        • 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 work closely with :
      • a Principal Engineer who defines the technical strategy for your team in accordance with company technical strategy and product goals and is the technical Expert referent for the team.
      • a Product Manager, who defines and specifies products goals for the team in accordance with the company strategy
      • a Facilitator who supports team’s Agile organization, defines and follows best practices. The facilitator ensures continuous improvement mindset and helps the EM building team cohesion.
    Stack:

    -Langages : SQL Python

    -Framework/lib : dbt

    -Environnement : GCP, Airflow

    Job requirements

    ⚙️ A strong backgroung in engineering allowing you to handle new technologies & to challenge technical choices;

    🏛 Proficiency with relevant programming languages, frameworks, and technologies (SQL, Python,  dbt, GCP, Airflow)

    📣 Excellent communication skills & coaching skills to enhance your team's performance

    🧑🏻‍🏫 Able to lead by example and take ownership

    🔁 Comfortable in dealing with change and uncertainty during the software development lifecycle

    🤸‍♂️ Good knowledge about Agile development practices

    🇬🇧 Good English skills (speaking and writing)

    Perks & Benefits

    🌴 12 Splio days (extra days off), in addition to the 25 legal days

    🛋️ Friendly remote policy (5 days mandatory on site per month in one of the cities where there’s a Splio office - Paris, Barcelona, Tunis)

    😋 A Swile card that you can use for lunch

    👨‍👩‍👦‍👦 Possibility to attend or participate in conferences once or twice a year

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