[Hiring] Confirmed Data Analytics Engineer

July 11, 2024

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Job Description

Your Mission

In our Data mesh organization, the Data Capabilities squad is in charge of the data products related to BlaBlaCar members (Identity, Trust and Safety, Community, Support), and BlaBlaCar platform (Authentication, Payment, Messaging systems). The squad builds a data warehouse on this scope to serve clean data to data practitioners, its stakeholders and any of the 700 employees. The squad provides analysis and tools to platform product managers, and owns services such as fraud detection and content moderation services. The data-warehouse, materialized in several layers, is built around three main components: Google BigQuery, Airflow and DBT. As a Confirmed Analytic Engineer, your role is to own members and platform data from the raw data ingestion layer to the data-mart layer. You will work closely with Data Analysts, Data Scientists and Software Engineers on your team to continuously provide data products to enable decision making on the product. You will be a contributing member of the Data Engineering Chapter, the group gathering all analytic engineers of the company, which aims at improving our data stack, set of tools, processes, and at streaming best practices to all squads.

Your Responsibilities

Translating analytical needs, current and anticipated, into a design for our data model layers and technical specifications for your data producers

Building efficient and robust data models for large volumes of data

Developing and optimizing the data workflows from the raw layer to the data mart in our data platform

Implementing solutions to improve the data quality

Being the point of communication for all Data Engineering decisions in your domain; working closely with the Data Analysts of your team

Contributing in the Data Engineering Chapter, defining policies and standards for data management

Articulating the strategy to build a data platform; this platform enables a mesh of autonomous data domains to interoperate.

Your Qualifications

Fluency in English

You have excellent communication skills, you’re humble, and you enjoy sharing & learning from others

You embrace change, are able to take a step back, prioritize, and focus on added-value tasks

You have a results-driven and impact-oriented mindset

You are capable of working hand-in-hand with data producers (devs) and data consumers (analysts) on a daily basis

You are capable of designing a data architecture

You have strong data engineering skills

You have strong SQL skills & work experience on a cloud data warehouse

You have strong experience with Python, including testing, deployment and codebase refactoring

Experience building DataMarts is a plus

Experience with Airflow, DBT is a plus

Experience with Salesforce APIs and objects is a plus

If you don’t meet 100% of the qualifications outlined above, tell us why you’d still be a great fit for this role in your application!

What we have to offer:

• Full remote possible in the country of employment

• 4 additional weeks parental leave 100% paid

• Financial support for home office equipment

• 25 days holiday per year + RTT

• Local meal plan policies (Swile card in France)

• 50% transportation paid in France (Forfait Mobilité Durable)

• Relocation package and visa support

• Free unlimited carpooling & bus rides

• Personal growth via trainings, mentorship, and internal mobility programs

• Employee Stock Ownership plan

• Regular team building events

Interested in joining the ride?

Here’s what your hiring journey will look like:

• a 45 min video-call with Chloé, Talent Acquisition Manager, to get to know you, understand your career expectations and answer your questions

• a 45 min video-call with one Data Engineering Manager,  to evaluate your communication and teamwork skills

• a fully remote exercise to evaluate your technical skills, followed by a 90 min video-call with Jose, your future colleague and another Data Engineer from the Data Engineering chapter to discuss your exercise and technical skills

Usually, our hiring process lasts 20-25 days and offers come within 48 hours.

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