Senior Big Data Engineer (Poland, Georgia, Spain, Portugal)

Profitero is a leading global SaaS commerce platform that uses predictive intelligence to help brands anticipate, activate, and automate their next best action to fuel profitable growth. Our technology monitors 70 million products daily, across 700 retailers and 50 countries, helping brands optimize search placement, product content, pricing, stock availability, reviews, and more. News outlets, including Good Morning America, The Wall Street Journal, and Ad Age frequently cite and trust Profitero as a source of data for their stories.

Now’s an exciting time to join our fast-growth business.

Profitero has recently joined Publicis Groupe (a $13 billion global marketing services and technology company) as a standalone commerce division, infusing our business with significant product development resources and investment while giving our employees an incredible launchpad for their careers. Profitero’s tech and data combined with Publicis’ tech, data, and activation services positions us to be a true end-to-end partner for helping brands maximize eCommerce market share and profits.

Come be a part of our fast-paced, entrepreneurial culture and next stage of growth.

We are inviting a Senior Big Data Engineer to join our product team that is creating a next-generation eCommerce intelligence service for retailers and manufacturers. We will be happy to welcome new team members who are not afraid of non-trivial tasks, can offer non-standard technical solutions, and take initiative.

About the project:

We are developing new products to allow our customers to track the on how their products perform online at the different retailers in various locations. It is a kind of system, where we are collecting, processing, and presenting a big amount of data to the customer. 

It is being developed using Snowflake, Airflow/Spark technologies and hosted in GCP. In our current solution we are processing billions of rows daily and storing it in DataMarts.

Key responsibilities:

• Design and build scalable and resilient Data & Analytics solutions
• Integrating solutions with other components of the system
• Design and development of Data pipelines
• Designing data models
• Engaging in proof of concepts and experiments
• Participate in overall testing and production maintenance
• Leading development process from the beginning to the end
• Presenting end results to stakeholders
• Working closely with the Architecture team to influence new technologies choice
• Improve existing data pipelines by using data engineering best practices

We expect:

• Strong knowledge of Python with a minimum of 2+ years of practical experience
• 5+ years experience in Data Engineering
• Strong knowledge of Apache Spark and Airflow
• Strong knowledge of SQL
• Working experience in an Agile environment

• Solid understanding of data models and data pipeline design
• Experience developing solutions in a Cloud environment
• A natural interest in modern data processing technologies and the ability to learn new things
• Passion to get into the development processes quickly and deliver good quality code
• Ability to work without supervision
• English level B2+ or higher

Nice to have:

• Experience with Snowflake
• Understanding of distributed architecture
• Understanding of CI/CD and DevOps methodologies
• Experience working in the containerized environment (Docker, Kubernetes)
• Experience in implementing projects & solutions using GCP Stack (GCS, Data Proc, Composer and etc)

What do we offer:

• Our vacancy implies a remote full-time work
• Vacation (20 working days per year, 100% paid)
• Health insurance reimbursement (up to 250 USD gross per year)
• Paid sick leave (80% of the daily base salary)
• 4 days for recovery without a sick leave document during the year (80% of the daily base salary)
• Individual sports activities reimbursement (50% of the check, up to 45 USD gross max per month)
• English classes reimbursement (100% of the check, up to 57 USD gross max per month)
• Professional development opportunities are reimbursed by the company
• Team-building activities