Sales & Partnerships - Data Engineer

hace 3 meses

Madrid, España lastminute.com A tiempo completo

**Company Description**

Our mission is to lead the travel industry by leveraging technology to simplify, personalise, and enhance our customers’ travel experience. Experts in brightening up online travel, we help our customers find and do "whatever makes them pink".

We continuously invest in talented people who ensure our offering is closer to the needs of the customers and keep us at the cutting edge of technology evolution. More than 1,700 employees spread across our offices worldwide develop our own products and services to power the entire traveller journey for millions of people.

At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.

The activities of the Sales & Partnerships domain team are focused on reports, tables, analysis and, more generally, all sorts of deliverables related to company's sales data in order to create an important value in supporting decision-making of the business. Significant emphasis will be placed on partnerships data preparation and analysis, helping our business to find best solutions with the partners, monitoring performances and evaluating the effectiveness of sales campaigns, agreements and initiatives through the time.

Data is at our core and its reliability and effectiveness have direct impact in producing actionable insights and improving business performances
- **Please note that this is a hybrid working model position, remote possibilities can be evaluated inside Spanish territory only.**

**Qualifications** Key Responsibilities**
- Understand and analyse functional needs, raw data and develop data dimensional models
- Design, build and deploy data pipelines with a focus on automation, performance optimization, scalability, and reliability aspects
- Helps the business to understand the data and find insights that enable the company to take data driven decisions
- Leverage data and business principles to solve large-scale web, mobile and data infrastructure problems
- Build data expertise and own data quality for your area

**Skills and Experience**

**Essentials**
- At least 2 years of experience in similar role in a fast-paced environment
- SQL advanced knowledge
- Experience in Data Modelling
- Experience in ETL design, implementation and maintenance
- Experience with workflow management engines (e.g. Airflow, Google Cloud Composer, Talend)
- Experience with data quality and validation
- Fluent in English both written and spoken

**Desirable**
- Bachelor or master degree in Statistics, Mathematics, Engineering or Physics or similar fields
- Experience working with cloud or on-prem Big Data/MPP analytics platform (e.g. AWS Redshift, Google BigQuery or similar)
- Programming languages knowledge (e.g. Python, R, Scala)
- Experience in analysing data to discover opportunities, address gaps and anomaly/outlier detection
- Experience with Analytics tool (e.g. QlikView, Tableau, Spotfire)
- Familiarity with digital and e-commerce business

**Abilities/qualities**
- Problem solving and decision making skills and innovative thinking
- Proactivity and strategic approach
- Ability to interface with business stakeholders by presenting and negotiating one's solutions
- Passionate about digital world, ambitious and motivated with a can-do attitude
- High attention to detail and ability to effectively manage multiple projects at a time, successfully able to meet deadlines

**Additional Information** What we offer**

By joining our company, you will have the chance to:

- Join a dynamic team in an inclusive-international environment
- Grow thanks to the career journey and our internal mobility perspective
- Manage your own schedule thanks to the flexible start and end of the working day
- Work a shorter working week (36h), of which 4 hours on Friday morning
- Get focus time for learning, development and deep work on Friday mornings
- Enjoy continuous training thanks to our company platform
- Benefit from employee discounts on travel
- Receive 2 days off per year for the purpose of volunteering
- Get free snacks / fruit / hot drinks / water / beverages at our offices

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