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Senior Data Engineer

Remote
  • Barcelona, Catalunya [Cataluña], Spain
Tech

Job description

About seQura

We provide innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers. Our unique risk scoring capabilities allow us to give access to credit to many shoppers that otherwise would be left out, providing the highest acceptance rates for flexible payments in the market. We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique context and needs and deliver superior results.
We also empower shoppers who seek value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months.
Born in Barcelona, seQura is a privately-owned fintech in the scaleup phase. Present in southern Europe and Latin America, we are growing above 50% CAGR and approaching 100 Million in Annual Recurring Revenue. Over 5000 businesses, almost 2 million shoppers, and 300+ employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.7/5.

About the role 🤓

As a Senior Data Engineer you will work in the Data team to improve and increase the company’s data flows. Your mission at SeQura will be to design and develop our data ecosystem, big data pipelines, data tooling and processes. Also to set up, evolve and maintain an infrastructure so the different company departments can be independent to understand, handle and manipulate their own data and KPIs.


What you'll do 🚀

  • Implement the new Modern Data Infrastructure working closely with the DevOps team

  • Include a Data Governance system, Data Infrastructure and GDPR com

  • Work closely with and for Domain Analytics Engineers in order to understand and provide them the most useful tools for analytical purposes

  • Develop complex and efficient pipelines to transform raw data sources into powerful, reliable components for our data lake

  • Optimize and improve existing features or data processes for performance and stability

  • Coach Analytics Engineers on software engineering best practices


What we offer 😎

We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible.

One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge.

In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need.

  • 23 vacation days + 2 days of free disposal per year.

  • Professional development that includes access to a language learning platform with courses available for 24 languages, including both group and private classes.

  • Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee.

  • Health insurance discounts with Sanitas and DKV

  • Hybrid work from Barcelona or remote work from Spain or other EU countries

  • Flexible working hours

  • A personal budget for professional development

  • Office workshops and meet-ups to encourage community participation and career growth

Moreover, we have a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you.

Job requirements

What you’ll need 🫲🏽

  • 5+ Years experience working as a Data Engineer

  • Solid SQL knowledge and expertise. You can write complex queries and optimize them for performance, scalability and ease of maintenance

  • Solid experience with Python

  • Solid experience orchestrating Data Pipelines with Airflow

  • Experience with Terraform, Spark and Kafka

  • 2+ Years experience working with AWS or any other Cloud Platform (E.g. GCP, Azure)

  • Demonstrable experience defining technical roadmaps and data observability .

  • Experience with software development best practices, such as version control, testing, CI/CD and automation

  • Excellent communication and interpersonal skills

  • Fluent in English, both verbal and written


Which are the next steps?

  1. Interview with People Team

  2. Technical take-home assessment

  3. Live Peer review of the assessment

  4. Meet the team

We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all.


Do you want to be part of the change? Join us! 👇

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