Data Engineer (Intern) - remote job

Mactores is hiring a Data Engineer (Intern) - a junior role, which makes it one of the rarer ways into the international market. The role sits in IT and programming and is fully remote. The company places no restriction on where the candidate lives, so you can apply from anywhere.

The main tools named in the advert are: AWS, SQL. Your CV should show concrete examples of exactly these skills.

The employer did not publish a figure; that is settled at interview. The advert sets no condition on working hours.

This vacancy passed an automated check: the list excludes any advert requiring a foreign work permit, visa sponsorship, a particular citizenship, or residence in a specific country.

Mactores specializes in transforming legacy systems into modern, agent-native AWS solutions. Many projects stall in pilot stages, slip deadlines, or exceed budgets. Our mission is to ensure successful delivery, with operational systems in production and legacy systems retired. We leverage Aedeon, our proprietary agent platform, to handle routine tasks like discovery, dependency mapping, and validation, freeing our engineers to focus on critical architecture and transition phases.

This internship offers hands-on experience in data platform modernization, a core focus at Mactores. You will engage in writing real pipeline code, collaborating with business stakeholders, analysts, and data scientists to understand the domain. Then, you will work closely with engineers to develop data products that enhance decision-making processes.

Here’s what you can expect:

- Develop efficient code using technologies like Spark or Apache Beam. - Explore innovative solutions and technologies to tackle business challenges. - Collaborate with both technical and non-technical teams to improve data products and services. - Ensure timely project delivery and keep stakeholders informed throughout the process.

We seek candidates who:

- Have experience with Apache Spark. - Understand ETL concepts, particularly with pySpark and SparkSQL. - Are familiar with SQL queries and stored procedures, and are eager to take on complex projects with a supportive mentor.

We prefer candidates who:

- Have worked with AWS EMR and Apache Airflow. - Hold AWS Certified Big Data - Specialty or Azure certifications. - Are Cloudera or Hortonworks Certified Big Data Engineers. - Demonstrate knowledge of DataOps Engineering.

Our work process involves a blend of agent deployment and forward-engineering. You will see firsthand how data platforms transition into production and learn to use agents as essential tools rather than barriers.

Compensation and Benefits

At Mactores, we prioritize a culture that positively impacts the lives of every team member. Our 10 Core Leadership Principles guide our operations, emphasizing decision-making, leadership, collaboration, and curiosity.

1. Stay proactive. 2. Aim for excellence. 3. Embrace boldness. 4. Focus on details. 5. Embrace challenges. 6. Be curious and take action. 7. Lead with confidence. 8. Own your responsibilities. 9. Provide value. 10. Foster collaboration.

For more insights into our work environment, visit [https://mactores.com/careers](https://mactores.com/careers).

The Application Process

Mactores follows a structured three-stage hiring process:

1. Pre-Employment Assessment: Technical evaluations to assess your suitability. 2. Managerial Interview: In-depth discussions with the hiring manager covering technical skills, hands-on experience, leadership potential, and communication. 3. HR Discussion: A 30-minute session with the HR team to discuss the offer and next steps.

Mactores is committed to equal opportunity in all aspects of employment, ensuring a fair and inclusive environment for all candidates.

Please ensure your application is comprehensive to expedite the hiring process.