Evo is the anti-forecast. We monitor every day data on billions of people, places, products and transform it in real-time software delivery, to drive automated instant learning that improves our clients’ supply chain, pricing and customer decisions. By overcoming the traditional limits of sales forecasting, segmentation and elasticity measurements, our artificial intelligence achieves 20-30% improvement in efficiency of inventory, pricing and customer decisions.

At Evo, you’ll be joining a highly-skilled, passionate and principled team of international professionals working from anywhere in the world or from our London (UK) and Turin (ITA) offices, to serve global clients in diverse business sectors such as consumer goods, retail, utilities, logistics, fashion, insurance and more.

As a Data Engineer, your mission will be to bring our data-related technologies to the next level:

• Own data architecture and data model
• Design scalable solutions together with the Product and Client teams
• Maintain the data acquisition, ingestion and transformation workflows
• Stay informed on new, relevant technologies game-changing opportunities
• Propose ideas to boost productivity and work enjoyment!

You are a qualified Data Engineer with at least 2 years of experience, able to work in a fast-paced ever-changing environment, intellectually curious team player with knowledge of:

• Python (pandas/Airflow) for data analysis, automation and orchestration
• MS SQL Server (TSQL), SQL language and ideally SSIS
• OLAP and multi-dimensional analysis tools
• Distributed (R)DBMS and data-warehousing e.g. Redshift, Snowflake
• English communication skills.

Your role, like all others, requires open mind, ability to adapt and can-do mindset. This may stretch the boundaries of your previous experience and education!

Does it sound like you? We offer:

• Challenging problems & an informal team in rapid evolution
• Flexible working hours, accelerated career and tangible real-world impact
• Friendly and meritocratic corporate culture + significant bonus potential
• Ability to grow your level of responsibility and potentially become part of our long-term team
• Growth opportunities within our merit-driven culture of investing in our staff

To apply, please send:

• Curriculum in a file called: Name_Surname_CV.pdf
• Cover Letter (optional) in a file called Name_Surname_CL.pdf
• Academic credentials
• Link to LinkedIn profile
• Answers to the mandatory context questions

CONTEXT QUESTIONS

1. Current contract role and level?
2. Initial remuneration expectations, fixed & bonus?
3. Growth ambitions in 3-5 years?
4. First available start date or notice period?
5. Technologies you are specifically confident with?

Happy applying, and welcome to our Evo Family!