Senior Data Engineer

About the Role

As a Senior Data Engineer at SeQura, you will be responsible for developing and maintaining data pipelines using ETL processes. You will design data flows to enable scaling and repeatable use, optimize code to ensure processes perform optimally, and ensure data consistency and accuracy through data validation and cleansing techniques. You will support data-versioning processes and work closely with the data science team to implement data analytics pipelines. Communication with a team of data scientists, data engineers, and business leads is crucial, as is documenting the processes.

Key Responsibilities

Develop and maintain data pipelines using ETL processes.
Design scalable and repeatable data flows.
Optimize code for performance.
Ensure data consistency and accuracy.
Support data-versioning processes.
Collaborate with data science teams to implement analytics pipelines.
Document processes and communicate with team members and stakeholders.

What We Offer

A strong and sustainable foundation with a secure and reliable workplace.
Freedom and trust to make the best contribution possible.
A supportive culture fostering a sense of belonging.
Challenging projects to enhance your skills and knowledge.
A unique office environment with everything you need.
23 vacation days + 2 days of free disposal per year.
Professional development opportunities, including access to a language learning platform.
Flexible compensation plan for transportation, restaurants, and kindergarten.
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.
A Wellness Program covering occupational, physical, financial, emotional, social, and environmental consciousness.

Qualifications

Bachelor's degree in Computer Science, Software Engineering, Physics, or related field.
5+ years of experience with ETL processes, data modeling, and data lake concepts.
Proficient in SQL, Python, PySpark, and Java.
Experience with big data technologies like Terraform, Spark, and Kafka.
Solid experience orchestrating data pipelines with Airflow.
Experience with AWS services such as Athena, Redshift, EMR, Elasticsearch.
Familiarity with software development best practices, such as version control, testing, CI/CD, and automation.
Understanding of tools used by data scientists and ML&AI techniques.
Excellent communication and interpersonal skills.

Next Steps

Interview with People Team
Team interview
Technical take-home assessment
Live peer review of the assessment
Meet the tech team

SeQura promotes 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.

Join us and be part of the change!

Benefits
Extracted with AI

Medical insurance
23 vacation days + 2 days of free disposal per year
Professional development
Flexible compensation plan
Health insurance discounts
Hybrid work
Flexible working hours
Personal budget for professional development
Office workshops and meet-ups
Wellness Program

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