Engineering Manager - Data Processing & Metrics
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
- Département
- PRODUCT & TECH - R&D
- Localisations
- Paris
- Statut à distance
- Hybride
Engineering Manager - Data Processing & Metrics
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