Data Engineer

lastminute.com is looking for a Data Engineer for its Sales & Partnerships team inside the Data & Analytics department.

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.

The candidate will have the opportunity to become a key member of the team leveraging their engineering skills to acquire, manipulate, orchestrate and monitor data.

Data is at our core and its reliability and effectiveness have direct impact in producing actionable insights and improving business performances

Requirements

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
• Strong team player with a willingness to challenge existing processes and applications