Data Engineer
1 mese fa
At XTEL, we understand large FMCG players like nobody else.
We are a leading software provider of sales automation solutions for the Consumer Goods Industry worldwide.
Our mission is to partner with our customers to unlock growth through smart investment and ensure that they take the right steps to drive more sales, optimising their promotional plans.
To continue making data accessible and help our clients make strategic business decisions, we are seeking an experienced Data Engineer with strong business-oriented mindset, good command of ETL tools, and a true passion for Technology.
We are currently searching for a versatile engineer with experience in the Python data stack to be an integral part of our existing engineering team, working collaboratively to help improve and maintain our suite of products.
We are a passionate team and strongly motivated working in an open-minded agile way.
We develop and maintain an articulated suite of OLAP analysis libraries developed for the data treatments in the CPG industry.
Core technology covers ingestion, cleaning and validation of data, AI-powered enrichment, and automation phases, API integration, data presentation and CD/CI pipelines.
Are we a phenomenal fit?
We are looking for someone who: Is Optimistic – whether it's sorting out a knotty problem or calming a stressed-out collaborator, can you look on the forward-thinking side?
Is Original – we love to hear ideas on how we can be doing things differently so that we can all be more engaged and successful with our clients.
Makes and takes Opportunities – are you the kind of person who will step up and volunteer to take something on, even if it's outside of your comfort zone?
Takes Ownership – for the team
You use your strengths to help us grow together.
Has an Open Mind – we favor constructive feedback given in a kind way and appreciate the same in return.
Our Data Engineer will: Contribute code and pipelines directly.
Work in synergy with the team and Product Owner in taking decisions, proposing solutions and new technologies.
Collaborate with other teams in integrating solution production grade.
A great candidate will have: Strong knowledge of Python Strong knowledge of Architecture and Design patterns Experience with ETL applications, Data Analytics or Big Data platforms.
Solid understanding of agile methodologies such as CI/CD, Application Resiliency Proficiency with Git and GitHub workflows Good English knowledge, both written and spoken Experience as a DevOps engineer or in a similar software engineering role Hands-on practical experience in software design, application development, testing and deployment PhD or Master's degree in data science, engineering or similar education Familiarity with automation tools Good communication and interpersonal skills for working in a multicultural work environment Experience in data science Problem-solving attitude Collaborative team spirit What will you get: Challenging position in a fast-growing AI-driven revenue management company.
Being a part of a diverse and international team with a strong ownership and can-do mentality.
The opportunity to meaningfully contribute to the continued growth and development of the organization.
A cross-functional role that spans across geographies and departments in the company.
Flexible working with possibility of hybrid work (the company HQ is based in Bologna).
We as a team have a passion for learning and growing to be the best version of ourselves.
Do you have strengths you can share?
If so, we'd love to hear from you.
We appreciate that everyone has different backgrounds and experience, so if you don't meet all the criteria above, please don't be deterred from applying.
We could be just what you are looking for
Please note that this job description provides a general overview of the responsibilities and qualifications required.
It is not an exhaustive list, but we believe it captures the essence of this exciting role.
XTEL is an equal opportunity employer and values diversity.
All applicants will be considered for employment without attention to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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