Detalhe da Função
Unono is a StartUp that operates in recruitment and pre-selection in Portugal and Spain, with thousands of users and partner companies on its platform.We’re looking for a data-savvy & customer-obsessed lead engineer for our customer service squad who’ll be working from our Lisbon office together with customer success engineers & customer success managers.
You’ll be responsible for ensuring the customer service squad has acustomer-first mindset. You proactively try to find the best way to deliver the customer needs.Your customer-centric mindset will be an inspiration for all other squads.
You will be translating customer needscoming from customer success managers into actions for the engineering team which can be planned in. We expect you to help identify how we can service certain customers using our product/platform.
Technical onboarding & maintenance of customers. You are responsible for the setup & maintenance of our platform for new customers.You will follow-up the execution of customer projects from start to finish and if work is required by one of our other squads you’ll involve them as required and follow them up.
We strive for excellence when it comes to serving our customers, this entails:We QA our outputbefore we deliver it to customer success managers & proactively flag doubts/suspicions.We ensure all data we expect to be there is there.We understand speed of delivery is importantto our customers so we align often & frequently with customer success managers in order to deliver what’s needed as quickly as possible.
From an efficiency perspective you will strive to use existing API’s as much as possible, furthermore when you detect short-comings or inconsistencies with our APIs/platform you will try to overcome them yourself or involve our other squads. You’ll also continuously try to simplify the existing APIs to make future projects easier.
Your typical tasks :
You will be working onprojects that deliver immediate value to our customers.In order to do this you’ll need a mixture of data-related hard-skills & people skills:
Data analysis skills will be needed to make sense of the data & to deliver the required insights, we use Python + pandas.
Data engineering skills will be needed to onboard customers onto our platform, we use Snowflake, Airflow & AWS.
Data visualisation skills will be needed to build rich dashboards for our customers. We use Tableau & Metabase and are looking into Looker.
You’ll need to be able to clearly communicate with other squads in case work is needed from them.
You will assist the customer success managers in identifying how our solutions can bring value to our customers & what would be the best way to service them.
You will steer the team with planning their projects and ensuring deliveries are done in a predictable manner, even if this involves work from other squads.
You have at least5 years of professional data analysis/engineering experience, ideallyusing SQL and Python (with pandas).
Your business mindset is just as strong as your technical capabilities.You will be working at the boundary between the technical team and the customer and will need to be able to effortlessly bridge between the two. Thus you’ll need to be highly proficient in both spoken and written English.
You have a great eye for detail and are able to produce accurate, timely reports that meet (or exceed) the needs of our customers.
You are proactive in your problem-solving and can think out of the box.
You thrive in a fast-paced start-up environment and can adapt to changes in priorities based on dynamic customer needs.
Previous experience with big data technologies (such as data warehouses, schedulers such as Airflow);
You’ve been in the front-line directly working with customers;
You have some project management experience & know how to break up a complex project in manageable pieces;
A background in retail/e-commerce is a big plus so you speak the language of our customers;
Great coding skills in Python (with pandas, numpy, …) and deep knowledge of SQL.
40 hours flexible hours;
Home Office 2x a week;
Direct contract with customer;