What positions are currently available at Arktic?

Arktic is currently hiring for Basic Data Engineer (Spark / Scala). These positions offer competitive employment opportunities for qualified candidates.

How can I apply for positions at Arktic?

Interested candidates should prepare their complete application including updated CV, educational certificates, experience documents, CNIC copy, and recent photographs. Submit through the specified application method before the deadline mentioned in the job advertisement.

What documents are required when applying to Arktic?

Required documents for application to Arktic typically include: Updated CV/Resume, CNIC/National Identity Card copy, all educational certificates and transcripts, professional experience certificates, recent passport-sized photographs, domicile certificate, and any other position-specific documents mentioned in the application requirements.

What is the selection process at Arktic?

The selection process at Arktic typically involves multiple stages: Initial application screening and document verification, written tests or skill assessments for certain positions, personal interviews with the selection committee, final document verification, and official appointment. Only shortlisted candidates will be contacted for subsequent stages.

What is the application deadline for positions at Arktic?

The application deadline for current positions at Arktic is December 18, 2026. Applications must be submitted before this date to be considered for the selection process.

Where are the job locations for Arktic positions?

The job locations for Arktic positions are primarily in Madrid. Specific location details for each position are provided in the detailed job advertisement.

Basic Data Engineer (Spark / Scala) at Arktic Madrid

Career opportunity at Arktic located in Madrid for the position of Basic Data Engineer (Spark / Scala).

This employment notice was announced on 03 November, 2026 through Website.

Candidates possessing a Bachelor degree are encouraged to submit their application.

Interested individuals should apply directly to Arktic for these vacancies in the Data Engineering division.

The estimated application deadline is 18 December, 2026, but please verify the exact date in the official advertisement.

To understand the application process and explore other job openings at Arktic, visit the official source or see more details on https://www.

jobseed.

pk.

Private

Bachelor Degree

full-time

Spain

Jobs Date Posted:	03 November, 2026
Jobs Last Date to Apply:	18 December, 2026
Industry:	Information Technology
Jobs Industry Type:	Private
Job Hiring Organization:	Arktic
Experience Required (In months):	36
Occupational Category:	Data Engineering
Education Requirements	Bachelor Degree
Employment Type:	full-time
Advertisement Source:	Website
Job Location:	Madrid
Country of Appointment:	Spain
Employer Department:	Data Engineering

🎓 Qualifications Required

Bachelor

Further Details

Arktic is now recruiting in Madrid. Apply for the position of Basic Data Engineer (Spark / Scala). The required qualification is Bachelor. This role is within the Information Technology industry. A bachelor degree is preferred. The application process commenced on 03 November, 2026 via Website. Interested and eligible candidates must submit their applications before the deadline on 18 December, 2026. This is a prime opportunity to join a renowned organization. For a step-by-step application guide and full eligibility criteria, please see the official advertisement on https://www.jobseed.pk.

Basic Data Engineer (Spark / Scala) at Arktic

We have an immediate opening for the post of Basic Data Engineer (Spark / Scala). The job location is Madrid.

Key Requirements:

Qualification: Bachelor
Experience: 36 months minimum
Vacancies: 1

This is a fantastic chance to work with a reputed organization and grow professionally.

Skills

At least 03 years of experience in developing and implementing ETL processes
03 years of experience working with Apache Spark and developing in Scala
Experience with Business Intelligence tools and analytical platforms like Databricks, Power BI, Starburst, or similar
Experience in data design and modeling
Knowledge and experience in Data Lake environments (Apache Hive, Amazon S3, AWS)
Advanced proficiency in SQL
Experience in data validation and quality control
Experience working with relational databases
Experience in unit testing and applying good code quality practices using tools like SonarQube or Fortify
Experience in implementing and managing CI/CD processes

Duties and Responsibilities:

Design and develop scalable data engineering solutions in Big Data environments
Build and optimize processing pipelines using Spark and Scala
Manage and leverage data on AWS Data Lake architectures
Ensure the quality, availability, and performance of information used by business and analytics areas
Implement best practices in development, automated testing, and CI/CD
Collaborate on data transformation and analytical exploitation projects using BI tools
Participate in data model design and optimization of analytical platforms