Data Engineer

SeQura; Barcelona; Híbrido; EUR 50.000 - 80.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

23 vacation days + 2 personal days

Flexible compensation plan

Health insurance discounts

Personal budget for professional development

Wellness program

Descripción de la vacante

A leading fintech firm in Barcelona is seeking a Data Engineer to enhance its data ecosystem, create big data pipelines, and maintain a robust infrastructure. The ideal candidate has over 5 years of experience with solid skills in SQL, Python, and AWS. This full-time position offers a supportive work environment and various benefits such as hybrid working options and a wellness program.

Formación

• More than 5 years of experience as a Data Engineer.
• Ability to write and optimize complex SQL queries.
• Strong experience with Python and ingestion tooling.

Responsabilidades

• Implement modern Data Infrastructure working with Infrastructure team.
• Develop efficient pipelines to transform raw data sources.
• Coach Analytics Engineers on best software engineering practices.

Conocimientos

SQL

Python

Data pipelines orchestration

Terraform

Kubernetes

AWS

MLOps knowledge

Interpersonal skills

Educación

5+ years as a Data Engineer

Herramientas

Airflow

Airbyte

Descripción del empleo

About SeQura

seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers.

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 3 million shoppers, and 350+ employees continue to rate us as one of the most loved and trusted fintechs with metrics such as an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.7/5.

Job Description

As a 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. You will also set up, evolve and maintain an infrastructure so the different company departments can independently understand, handle and manipulate their own data and KPIs.

What Challenges You'll Be Solving

• Implement the new Modern Data Infrastructure working closely with the Infrastructure team
• Include a Data Governance system, Data Infrastructure and GDPR-compliant frameworks
• Work closely with Domain Analytics Engineers to understand and provide 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 with freedom and trust to contribute effectively. We value fellowship and a supportive culture that fosters belonging and career growth. Our office offers a comfortable and inspiring environment with everything you need.

• 23 vacation days + 2 days of personal time per year
• Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee
• Health insurance discounts with Sanitas and DKV
• Hybrid work from Barcelona
• Flexible working hours
• A personal budget for professional development
• Office workshops and meet-ups to encourage community participation and career growth

We also have a Wellness Program covering six areas (occupational, physical, financial, emotional, social, environmental) with activities to configure a plan that fits you.

What You’ll Need

• 5+ years of experience as a Data Engineer
• Solid SQL knowledge; ability to write and optimize complex queries for performance and maintainability
• Strong experience with Python and ingestion tooling, such as Airbyte
• Extensive experience orchestrating data pipelines using Airflow
• Solid knowledge of Terraform and Kubernetes
• 3+ years of experience with AWS or other cloud platforms
• Familiarity with software development best practices (version control, testing, CI/CD, automation)
• Experience defining technical roadmaps and managing data quality and observability
• Experience with metadata tools and data governance, including data catalogs
• Knowledge in MLOps is a plus
• Excellent communication and interpersonal skills
• Fluency in English, both spoken and written

Next steps

• Interview with People Team
• Technical Test (Home Assessment)
• Pairing session
• Cultural Interview

We kindly ask that you submit your CV in English, as it is the official language of our community.

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!

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

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