Data Engineer

Bravofly

Lisboa

Presencial

EUR 40 000 - 60 000

Tempo integral

14 dias+

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Vantagens oferecidas por esta oferta de emprego

Flexible working hours
Volunteering opportunities
Travel industry discounts
Professional development training

Resumo da oferta

Bravofly is seeking a Data Engineer to enhance the traveler's journey through data-driven solutions. This role requires 5 years of experience and involves designing scalable data systems on Google Cloud Platform. You will be part of a collaborative Data Analytics Team, driving innovation with cloud technologies. The position offers a flexible working environment to foster personal growth and training, while ensuring data integrity and performance. Join us to make a significant impact in the travel industry.

Qualificações

  • 5 years of experience as a data engineer with a proven track record in data systems.
  • Strong knowledge of SQL and cloud-based Big Data platforms.
  • Expertise in data modeling and ETL/ELT processes.

Responsabilidades

  • Design, develop, and maintain data pipelines on Google Cloud Platform.
  • Partner with internal stakeholders to understand their data needs.
  • Ensure performance and reliability of data systems through testing.

Conhecimentos

Data modeling
SQL
Python
Data visualization tools
Big Data platforms
Communication skills
ETL/ELT processes
Workflow management

Formação académica

5 years experience as a data engineer

Ferramentas

Google BigQuery
Airflow
Terraform
dbt

Descrição da oferta de emprego

The Company

At lastminute.com, we live for the holidays. We are the European Travel-Tech leader in Dynamic Holiday Packages. With technology, we turn spontaneous thoughts into meaningful experiences, helping people travel the world.

Job Description

We are looking for a Data Engineer to join our team of around 1,700 people worldwide to help us power up the traveller’s journey for millions of holidaymakers. If you are passionate about using data to improve business performance, enjoy challenging projects and are skilled at data modeling, keep on reading, as you might be the perfect fit for this job.

The job in brief:

  • Job Title - Data Engineer
  • Team - you will join the Data Analytics Team
  • Level – Professional
  • Location- Portugal
  • Contract- Permanent – full-time (36 h/week)

What your impact will be:

  • Architect & Build: Design, develop, and maintain robust and scalable data pipelines and architectures on Google Cloud Platform (GCP).
  • Innovate: Champion new approaches and technologies, leveraging AI to optimize data processes and generate deeper insights.
  • Collaborate: Partner closely with internal and business stakeholders to understand their data needs, translating requirements into effective technical solutions.
  • Prioritize: Manage competing demands and strategically prioritize projects to deliver maximum business value.
  • Ensure Quality: Guarantee the performance, reliability, and scalability of our data systems through rigorous testing and maintenance.
Qualifications

Your expertise:

  • Experience: 5 years of experience as a data engineer, with a proven track record of building and maintaining production‑grade data systems.
  • Cloud Expertise: Strong knowledge of SQL and hands‑on experience with cloud‑based Big Data platforms like Google BigQuery.
  • ETL/ELT: Expertise in data modeling and developing and maintaining data transformation pipelines using tools like dbt.
  • Orchestration: Experience with workflow management engines such as Airflow.
  • Automatisation: Use Terraform/AWS CloudFormation to manage and automate the provisioning and configuration of cloud infrastructure.
  • Programming: Proficiency in at least one programming language, with a strong preference for Python.
  • Communication: Exceptional communication and presentation skills, with the ability to influence technical and non‑technical stakeholders.
  • Visualization: Familiarity with data visualization tools such as Qlik, Tableau, Looker, or Power BI.
  • Extract and Process: Develop and implement solutions to scrape and extract data from various sources and transform it into a usable format.
  • Domain Knowledge: Previous experience in the travel, digital, or e-commerce industries.
  • Analytical Skills: A strong understanding of data analysis principles and how to apply them to improve business outcomes.
Additional Information

Perks of working with us:

How we work together:

  • An inclusive, friendly, and international environment (you’ll be working with colleagues from more than 10 countries and over 48 nationalities)
  • Shorter working week (36h as full time), with a half working day on Fridays
  • Flexible start and end of the working day, with core hours from 10:00 to 4:00 pm
  • Possibility to work from anywhere for a period of time per year defined according to local regulations

How we learn together:

  • Fri‑Yays: half a day on Friday morning with a no‑meeting mandate and dedicated to deep work, personal growth, learning and training and/or focus time.
  • Professional and managerial skills development training paths, access to e‑learning platforms such as O’reilly, Udemy, Coursera (depending on the department), and to our internal platform offering bespoke training content

Other perks:

  • 2 paid days off per year for volunteering purposes
  • Occasional social events to foster connections among colleagues
  • Travel industry discounts and flash exclusive staff fares
  • We support our employees through life’s significant moments with leave options (e.g parental responsibilities, marriages, bereavements, relocations, etc.) in line with local laws.

Wish you were here? We do, too!

Selection process steps*:

  • HR interview
  • 2nd Manager Interview + Technical Test (1 hour)

(*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview)

Our commitment to celebrate diversity and generate belonging

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.

Eligibility criteria:

By submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.

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