Data Engineer (Marketing & Media)

Data Engineer (Marketing & Media)

• Full-time
• Department: Technology

Company Description

lastminute.com is the European Travel Tech leader in Dynamic Holiday Packages. It operates a portfolio of well-known brands such as lastminute.com, Volagratis, Rumbo, weg.de, Bravofly, Jetcost and Hotelscan.

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.

lastminute.com N.V. is a publicly-traded company listed under the ticker symbol LMN on the SIX Swiss Exchange.

Job Description

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

The activities of the Marketing & Media team are aimed at achieving the following goals:

• Elevated Marketing Effectiveness: By delving into comprehensive data analysis and modelling of marketing and media campaigns, we endeavour to enhance the effectiveness of our strategies, resulting in heightened audience engagement and conversion rates.
• Revenue Optimization: Through the meticulous optimization of data-driven marketing interactions and channels, our objective is to maximise customer engagement, retention, and ultimately, revenue generation for our digital initiatives.
• Operational Efficiency: Leveraging our in-depth insights into marketing performance metrics and consumer behaviours, we strive to streamline operational processes, eliminate inefficiencies, and minimise unnecessary expenditures, contributing to cost reduction and resource optimization within the marketing and media domain.

The candidate will have the opportunity to become a key member of the team leveraging his/her 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.

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

Qualifications

Skills and Experience

Essentials

• Proven experience of 2-3 years in data engineering or related role in a fast-paced environment
• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
• Strong SQL skills with experience in working with relational and non-relational databases
• Experience in custom ETL design, implementation and maintenance
• Programming languages knowledge (e.g. Python, R, Scala)
• Experience with workflow management engines (e.g. Airflow, Google Cloud Composer)
• Experience in Data Modelling
• Experience with data quality and validation
• Experience working with cloud or on-prem Big Data/MPP analytics platform (e.g. AWS Redshift, Google BigQuery or similar)
• Ability to work creatively and analytically with a strong attitude for problem solving
• Excellent problem-solving and analytical skills with attention to detail.
• Fluent in English both written and spoken

Desirable

• Experience in analysing data to discover opportunities and address gaps
• Experience with SQL performance tuning and E2E process optimization
• Experience with anomaly/outlier detection
• Familiarity with digital and e-commerce business
• Experience with containerization technologies such as Docker and Kubernetes
• Previous experience in the travel industry

Abilities/qualities

• Problem solving and decision making skills and innovative thinking
• 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
• Proactivity and strategic approach
• Strong team player with a willingness to challenge existing processes and applications

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
• Work partially or fully remote according to local laws
• 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
• Receive a voucher after some years in the company
• Get free snacks / fruit / hot drinks / water / beverages at our offices
• Participate in amazing winter and summer corporate events
• Benefit from extended parental or marriage leave according to local laws
• Welfare platform (Corporate Benefits) where you will find dedicated discounts with more than 1500 partners.