What positions are currently available at Arktic?

Arktic is currently hiring for Basic Data Engineer (Spark / Scala) – Madrid, Spain. 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) – Madrid, Spain

Arktic, a dynamic and innovative Spanish consulting firm, is seeking a skilled Basic Data Engineer to join their expanding team in Madrid.

Successful candidates will benefit from these job openings.

This full-time position offers an excellent opportunity for professionals with at least three years of experience in ETL processes using Apache Spark and Scala.

Successful candidates will benefit from these latest jobs.

Candidates will design, build, and optimize scalable data pipelines within AWS Data Lake architectures, ensuring high data quality and accessibility for business intelligence initiatives.

The role demands advanced SQL proficiency, data modeling expertise, and familiarity with BI tools such as Databricks or Power BI.

Competitive salary packages, professional development prospects, and a collaborative work environment make this an attractive career move for data professionals aiming to excel in big data engineering.

Private

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
Employment Type:	full-time
Advertisement Source:	Website
Job Location:	Madrid
Country of Appointment:	Spain
Employer Department:	Data Engineering

🎓 Qualifications Required

📌 Job Positions:

Basic Data Engineer (Spark / Scala)

Further Details

A leading Spanish technology consultancy, Arktic, announces a full-time Data Engineer vacancy in Madrid, Spain. This position targets professionals holding a bachelor's degree and possessing a minimum of 36 months of hands-on experience with Spark, Scala, and AWS Data Lake technologies. Successful candidates will benefit from these Information Technology employment opportunities. Responsibilities include constructing robust ETL pipelines, implementing CI/CD practices, and enhancing data quality through automated testing and validation. The successful candidate will contribute to transformative data projects, leveraging advanced SQL and orchestration tools to drive analytical insights. Arktic offers an inclusive workplace with a focus on continuous learning and career advancement, making this role ideal for those passionate about data engineering and technological innovation.

Key Highlights of the Data Engineer Role

Arktic, a prominent Spanish consultancy, is offering a full-time Data Engineer position in Madrid, Spain, ideal for professionals with a bachelor's degree and three years of experience in Spark, Scala, and AWS Data Lake technologies. Successful candidates will benefit from these Information Technology jobs in Madrid. This role is critical for building efficient data pipelines and supporting data-driven decision-making across the organization.

Location: Madrid, Spain
Experience: 36 months in ETL development and big data environments
Key Technologies: Apache Spark, Scala, AWS, SQL, Databricks, Power BI
Benefits: Professional growth, innovative environment, and excellent workplace culture

Join a company that values equality and inclusivity, where your expertise can shine and contribute to cutting-edge data solutions.

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