Senior Data Engineer, Málaga

Jordan martorell s.l.; Málaga; Híbrido; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

An innovative firm is seeking a Senior Data Engineer to join its fast-moving team in the e-commerce sector. In this role, you will design and optimize data pipelines, manage cloud infrastructure, and write high-performance Python code. You will be part of a dynamic environment that values agility and creativity, working with a diverse team from over 30 countries. This position offers flexible working hours, hybrid work options, and a range of perks including private health insurance and comprehensive training. If you're ready to take your career to the next level, this is the 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

Beautiful sunny location

Formación

• 5+ years of experience as a Data Engineer with strong SQL skills.
• Proficient in Python for data engineering and AWS services.

Responsabilidades

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

Conocimientos

Data Engineering

SQL

Python

AWS

Airflow

Linux

Agile Methodologies

Problem-Solving

Herramientas

Git

Jupyter Notebooks

Jira

Docker

Terraform

Spark

Kafka

Descripción del empleo

Senior Data Engineer

At Marbill, we're passionate about empowering businesses to succeed in the competitive world of e-commerce. Our innovative software solutions help merchants manage customers, mitigate risk, streamline payments, and enhance service offerings, ultimately optimizing their financial operations.

Join Marbill Technologies and thrive in a dynamic, global e-commerce environment!

What we offer:

1. Flexible working hours - Work when you're most productive!
2. Hybrid positions - Enjoy the best of both worlds, remote office work.
3. Top-notch equipment - Everything you need to excel in your role.
4. Private health insurance - Your well-being matters to us.
5. Referral bonuses - Get rewarded for bringing great talent on board.
6. Comprehensive training - We invest in your growth from day one.
7. Competitive salary - Based on your experience, with regular reviews.
8. 25 days of annual leave - Recharge and enjoy your time off.
9. Lunch snacks - Keep energized throughout the day.
10. Parking available - Convenient and stress-free.
11. Sunshine almost every day - Work in a beautiful, sunny location.

We are an ambitious, fast-moving team that thrives in a dynamic and agile environment. Our professionals, hailing from over 30 countries, are resilient, accountable, and solution-oriented. We make things happen quickly, embracing challenges with fresh ideas and a focus on impactful results. We equip our team with the tools and support they need to succeed, fostering both professional and personal growth.

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

What you'll do:

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

What you'll bring:

1. Minimum of 5 years of experience as a Data Engineer.
2. Strong proficiency in SQL and relational database management.
3. Hands-on experience with AWS services, including S3, Athena, and SageMaker.
4. Advanced knowledge of Python for data engineering and automation tasks.
5. Familiarity with Airflow for workflow orchestration.
6. Comfortable working in a Linux environment and using Linux commands.
7. Experience with Agile methodologies and tools like Jira.
8. Strong problem-solving skills and ability to work effectively in a team environment.
9. Experience optimizing Data Science scripts and deploying them into production environments.

Bonus Skills:

1. Experience working with data lakes and data warehouses.
2. Knowledge of containerization tools like Docker.
3. Exposure to infrastructure-as-code tools such as Terraform.
4. Experience with distributed computing frameworks (e.g., Spark).
5. Familiarity with real-time data processing tools such as Kafka.

Apply now and let's make an impact together!