Mactores Data Engineer Internship: Remote Data-Platform Work
Mactores has an active Data Engineer internship on its official Lever careers page. The listing is labelled Mumbai, Maharashtra, with a remote work arrangement and full-time intern employment type. It focuses on data-platform modernisation, writing pipeline code and collaborating with engineers and business teams. It is not a permanent Data Engineer vacancy, even though the work involves real project delivery.
The official listing does not disclose a stipend amount, fixed internship duration or application deadline. Do not assume that compensation advertised for a different Mactores internship applies here. Applicants should confirm the financial and scheduling terms directly during recruitment. The role and active application form were checked on 20 September 2026.
Internship overview
- Employer: Mactores.
- Role: Data Engineer (Intern).
- Department: Data Engineering and Data Science.
- Location label: Mumbai, Maharashtra.
- Work mode: Remote.
- Employment type: Full-time internship in the role listing.
- Stipend: Not disclosed in the verified official advertisement.
- Duration: Not fixed in the advertisement; the form asks applicants for their preferred commitment.
- Deadline and vacancy count: Not stated on the checked page.
- Application method: Official Mactores Lever application form.
The remote label should be read together with the Mumbai location and India-specific internship questionnaire. The listing does not establish an unrestricted worldwide hiring arrangement. It also does not publish equipment support, meeting hours, time-zone overlap or a fixed weekly calendar. Confirm these details rather than assuming that remote work removes all location and availability expectations.
What the team works on
Mactores describes its business as AWS modernisation and explains that this internship sits within data-platform work. The advertised scope involves moving beyond legacy data warehouses and helping data platforms reach production on AWS. Interns work with business leads, analysts and data scientists to understand requirements, then collaborate with engineers on useful data products.
The employer also describes an agent-assisted delivery model. It says its Aedeon platform handles repetitive discovery, mapping and validation activities while engineers retain responsibility for architecture and production cutover decisions. The internship is presented as a learning role within that system, not ownership of a customer's entire migration or independent responsibility for cutover.
This distinction is important for applicants. The opportunity concerns learning engineering judgement alongside tools, not simply generating code without understanding the underlying data. The official page emphasises production delivery and business relevance. It does not promise a particular customer assignment, project size or access to every technology named in the advertisement.
Advertised responsibilities
The first responsibility is writing efficient code using the technologies selected for a project, with Spark and Apache Beam given as examples. The team also expects interns to explore new technologies and techniques, work across engineering and business groups, and contribute to better data products and services. Tool allocation depends on the assigned work.
Delivery discipline is part of the role. Interns help the team complete projects and keep customers updated on time. That does not mean an intern should make unapproved commitments; it means progress, questions and obstacles need to be communicated clearly within the team's delivery process. The exact reporting structure is not specified in the notice.
Data quality connects the technical work to business decisions. Applicants should be interested in whether the data behind a metric is reliable, not just whether code runs once. The advertisement describes learning why such decisions matter. A useful application can show how you checked the output of a project and explained any limitations to someone using it.
Required exposure and preferred qualifications
The employer asks for exposure to Apache Spark, ETL concepts using PySpark and Spark SQL, and SQL queries and stored procedures. It also looks for an appetite for challenging projects under mentor-oriented leadership. The checked listing does not prescribe a particular degree, academic percentage, graduation year or minimum number of employment years.
Preferred experience includes AWS EMR and Apache Airflow. The page also lists cloud or big-data certifications and understanding of DataOps engineering as preferences. These should not be rewritten as mandatory requirements. The existence of a preferred certificate does not mean a candidate must purchase a course or certification before applying.
Describe the technologies you have actually used. For a classroom or personal project, make its context clear instead of calling it production experience. If your exposure is introductory, explain the task you completed, what you understand and where you needed help. A concise, accurate account is more informative than claiming equal expertise across every tool mentioned.
Duration and availability questions
The application form asks which internship duration the candidate is seeking, offering three months, four to six months, and six months or above. These are applicant-preference options, not three separate guaranteed programme lengths. The final duration needs agreement with the employer.
The form also asks about daily availability, with four-hour and eight-hour options, while the vacancy itself is labelled full time. Report both honestly: the questionnaire collects preferences, but does not by itself confirm that a part-time arrangement will be offered. Applicants should resolve the expected commitment before accepting an offer.
Other questions cover the expected start date, interest in a full-time role after the internship, and reasons for joining Mactores. Asking about later employment is not a guarantee of conversion. Stipend, leave arrangements, payment dates, equipment and any future job offer remain terms to clarify individually.
Selection process described by Mactores
The careers page sets out pre-employment assessment, managerial interviews and an HR discussion. The application questionnaire explicitly asks whether the candidate is willing to take aptitude and role-related technical tests before the initial interview. These are advertised stages, but the employer does not publish test questions, a passing score or a guaranteed selection timeline.
Managerial discussions are described as covering technical skills, hands-on experience, communication and leadership potential. The HR conversation addresses the offer and next steps. Being invited to an assessment or discussion should not be treated as an appointment. Confirm the actual process in communication from the recruitment team.
Preparing useful evidence for your application
The following is editorial guidance, not an additional application requirement. A small data project can help explain how you load information, transform it and check the result. Describe the source, intended output, assumptions and validation steps. If you used Spark or SQL, explain why that tool was appropriate rather than simply listing it in a technology stack.
Include examples of handling missing values, duplicates or unexpected input if these were part of your actual work. Explain the difference between an error you fixed and a limitation that remains. Do not invent scale, processing-speed improvements or customer outcomes. A reviewer should be able to understand your contribution without relying on exaggerated claims.
Keep shared code and documents free of passwords, access tokens, private customer data and materials you are not authorised to distribute. A public repository is optional on the application form, so confidential previous work need not be exposed to demonstrate experience. A non-confidential project description can communicate the relevant skills.
How to apply through the official form
- Read the official Data Engineer internship description.
- Open the linked application form and confirm the same role title and remote arrangement.
- Prepare your resume, contact details and LinkedIn URL, which the form marks as required.
- Enter your location and any optional portfolio links accurately.
- Answer the duration, daily availability, start-date, motivation and assessment questions truthfully.
- Review the application and submit it through Lever; retain any confirmation provided.
No closing date is published in the verified listing, so check that the form remains active when applying. Jobsii is sharing an official employer opportunity, not conducting recruitment or guaranteeing a paid offer. Discuss the undisclosed stipend and agreed duration before making a commitment.
Apply for Mactores Data Engineer (Intern) through the official form.
