Senior Data Engineer

Marbill Technologies; Málaga; Híbrido; EUR 50.000 - 90.000; Jornada completa

Descripción de la vacante

An innovative firm is seeking a Senior Data Engineer to join their dynamic team in a hybrid work environment. This role offers the chance to design and optimize scalable data pipelines, manage AWS infrastructure, and write high-performance Python code. With a focus on professional growth, the company provides comprehensive training, flexible working hours, and a supportive atmosphere. Ideal candidates will have a strong background in SQL, AWS, and data engineering, and will thrive in a collaborative, agile setting. If you're ready to make an impact in the e-commerce landscape, this is the perfect opportunity for you!

Servicios

Flexible working hours

Hybrid positions

Top-notch equipment

Private health insurance

Referral bonuses

Comprehensive training

25 days of annual leave

Lunch snacks

Parking available

Sunny location

Formación

• 5+ years as a Data Engineer with strong SQL and Python skills.
• Experience with AWS services and workflow orchestration using Airflow.

Responsabilidades

• Design and optimize scalable data pipelines for smooth operations.
• Debug Airflow tasks and maintain cloud infrastructure on AWS.

Conocimientos

SQL

Python

AWS

Airflow

Linux

Agile methodologies

Problem-solving

Data Engineering

Herramientas

Git

Jupyter Notebooks

Docker

Terraform

Spark

Kafka

Descripción del empleo

Join Our Team as a Senior Data Engineer at Marbill Technologies

Join to apply for the Senior Data Engineer role at Marbill Technologies.

At Marbill, we are passionate about empowering businesses in the competitive e-commerce landscape. Our innovative solutions help merchants manage customers, mitigate risks, streamline payments, and enhance service offerings, ultimately optimizing financial operations.

We offer a dynamic, global environment where you can thrive!

What We Offer

• Flexible working hours – Work when you're most productive!
• Hybrid positions – Enjoy the benefits of both remote and office work.
• Top-notch equipment – Everything you need to excel.
• Private health insurance – Your well-being matters.
• Referral bonuses – Rewards for bringing talent onboard.
• Comprehensive training – We invest in your growth from day one.
• Competitive salary – Based on experience, with regular reviews.
• 25 days of annual leave – Recharge and enjoy your time off.
• Lunch snacks – Keep energized throughout the day.
• Parking available – Convenient and stress-free.
• Sunshine almost every day – Work in a beautiful, sunny location.

Our team is ambitious, fast-moving, and thrives in an agile environment. Comprising professionals from over 30 countries, we are resilient, accountable, and solution-oriented. We embrace challenges with fresh ideas and focus on impactful results, providing tools and support for both professional and personal growth.

If you're looking to boost your career, this is the perfect opportunity! We are seeking a Senior Data Engineer to join our team.

Responsibilities

• Design, develop, and optimize scalable data pipelines to ensure smooth data operations.
• Debug and troubleshoot Airflow tasks for efficient workflow execution.
• Write and maintain high-performance Python code for data engineering tasks.
• Develop and optimize SQL queries for relational databases.
• Manage and maintain cloud-based infrastructure, particularly AWS services.
• Utilize Git for version control and collaboration.
• Oversee deployments and work with Jupyter Notebooks for data analysis and documentation.
• Provide technical mentorship to junior team members and contribute to best practices.

Qualifications

• Minimum of 5 years of experience as a Data Engineer.
• Strong proficiency in SQL and relational databases.
• Hands-on experience with AWS services like S3, Athena, and SageMaker.
• Advanced Python skills for data engineering and automation.
• Familiarity with Airflow for workflow orchestration.
• Comfortable working in a Linux environment.
• Experience with Agile methodologies and tools like Jira.
• Strong problem-solving skills and teamwork abilities.
• Experience deploying Data Science scripts into production.

Bonus Skills

• Experience with data lakes and data warehouses.
• Knowledge of Docker and infrastructure-as-code tools like Terraform.
• Experience with distributed computing frameworks such as Spark.
• Familiarity with real-time data processing tools like Kafka.

Apply now and make an impact together!