Description

WHO ARE WE

We are a Retail Intelligence Company that provides data science solutions and digital tools delivering quantifiable insights and actionable recommendations with direct and sustainable impact on key metrics.

InovRetail is backed by a highly experienced, highly motivated team, with more than 40 years’ retail experience, having worked in different geographies at Tier 1 and Tier 2 Retailers.

Our team of experts and our solutions offer a highly-differentiated approach to Data Science, delivering innovative and fully integrated solutions on an everyday changing world. More than 40 highly skilled Consultants, Data Scientists and Engineers; 20+ Customers operating in 5 countries; Data from more than 700 stores collected and analysed; More than 1.000.000.000 data records processed and analysed; More than 10 partners worldwide.

OUR PRODUCT

SeePlus is a Retail Performance Platform, designed to drive value from the rich insights produced from our data science based predictive engine and providing a unique platform to connect with your business like never before. Through our array of retail channel applications, available on a variety of portable and wearable devices, insights can be used to drive sustainable benefit. Truly it’s your Business Operating System.

Our solutions are SaaS based, fast to deploy, easy to use and help retailers in three key areas:

• Digital Sales Assistant: Store digital tools delivering superior Customer engagement and staff sales performance
• Stock Recalibration: Data driven Allocations & Replenishment for better in season trading
• Multi-dimensional Forecasting: High precision sales forecasting encompassing a wide range of environmental and market factors to support every day proactive decision making

WE ARE LOOKING FOR

We are looking for a passionate Data Engineer to design, develop and implement data solutions.

Data Engineer responsibilities include ETL and data quality automation supported with professional and bullet-prof software code writing in various languages, but mainly Python and DB oriented ones.

Our ideal candidates are familiar with the software development life cycle from preliminary analysis to tests and deployment.

WHAT YOU’LL DO

• Design and develop scalable ETL processes to account different business specificities;
• Build and deploy robust data pipelines of high data quality in a scalable fashion;
• Support and increase automation and scale of complex data sets;
• Develop and deploy scalable and real-time data quality processes;
• Translate business specificities into actionable logical data operations;
• Maintain and improve the performance of existing software;
• Clearly and regularly communicate with management, technical support and quality colleagues;
• Participate on continuous improvement process to enhance existing software;

WHO YOU ARE

• Have hands on experience with schema design and data modeling.
• Have programming experience in Python. You have a software engineering mindset and strive to write elegant, maintainable code and you're comfortable working in a variety of tech stacks.
• You should a software engineer with a focus or passion for data-driven solutions.
• You have strong SQL skills and knowledge and familiarity with other distributed data stores such as MongoDB or ElasticSearch.
• You have 1+ years’ experience in data engineering and software development, and a degree in computer science or similar.

OTHER REQUIREMENTS

• Ability to work independently, multi-task effectively and to follow guidelines;
• Strong attention to detail;
• Good team working attitude with analytical and creative problem-solving abilities;
• Strong communication skills;
• Advanced interpersonal skills to effectively promote ideas, collaborate across teams and influence teams to resolve issues;
• Strong organizational, problem-solving, and analytical skills;
• Availability to travel.

To apply, send a copy of your CV/LinkedIn profile to [email protected]