Data Engineer - €35.000 - €50.000 A Year - Remote

Webologix Ltd/ Inc; Córdoba; Remote; EUR 35,000 - 50,000; Full time

Job summary

Webologix Ltd/ Inc is seeking Senior Data Engineers to design, build, test, and deploy scalable data solutions on AWS. The roles are remote and permanent, with a salary of 35-50K euros gross per year.

Ideal candidates have hands-on experience with S3, Glue, Athena, EMR, EC2, Lambda, and modern data architectures such as data lakes, lake houses, and data mesh. You will collaborate with cross-functional teams to deliver robust data pipelines and governance.

Qualifications

• Minimum 3+ years cloud experience.
• In-depth knowledge of Spark/Scala, Python and SQL.
• AWS expertise: S3, Glue, Athena, EMR, EC2, Lambda.
• ETL design and data modelling.
• Strong analytical and problem-solving skills.
• Attention to detail.

Responsibilities

• Design, develop, test, and deploy data pipelines and platforms using AWS services.
• Implement and maintain data lake, lake house, or data mesh architectures.
• Collaborate with data engineers, analysts, and DevOps teams to deliver business solutions.
• Ensure compliance with data governance, security, and records management policies.
• Troubleshoot and resolve data-related issues, supporting change management processes.
• Demonstrate ownership of projects from inception to delivery.

Skills

Spark/Scala

Python

SQL

AWS data services

ETL design

Data modelling

Analytical thinking

Problem solving

Attention to detail

Education

University degree in technology, preferably in computer science

Tools

GitHub Actions

Apache Iceberg

Great Expectations

Deequ

Bash

HCL

Job description

Role : Senior Data Engineer ( 4 positions)

Location : Remote

Type : Permanent

Salary : 35-50K euros gross per year

We are seeking Expert Data Engineers to join our team, responsible for designing, developing, testing, and deploying robust data solutions. The ideal candidates will have hands-on experience with AWS data services such as S3, Glue, Athena, EMR, EC2, and Lambda, and a strong understanding of modern data architectures including data lakes, lake houses, and data mesh. They will collaborate with cross-functional teams to deliver scalable data pipelines, data warehouses, and data marts, ensuring data quality, security, and compliance.

Job Responsibilities / Role

• Design, develop, test, and deploy data pipelines and data platforms using AWS services
• Implement and maintain data lake, lake house, or data mesh architectures
• Collaborate with data engineers, analysts, and DevOps teams to deliver business solutions
• Ensure compliance with data governance, security, and records management policies
• Troubleshoot and resolve data-related issues, supporting change management processes
• Demonstrate ownership of projects from inception to delivery

Mandatory Skills

• In‑depth understanding of when to use a range of tools as opposed to limited practical experience in a specific set of tools
• Experience level to be a minimum of 3+ working years in cloud
• Spark/Scala
• Python
• SQL
• AWS expertise in services such as S3, Glue, Athena, EMR, EC2, and Lambda
• ETL design and data modelling
• Analytical thinking: ability to anticipate all edge cases and scalable xhfqzwm issues in the future
• Problem‑solving skills
• Attention to detail

Nice To Have

• Familiarity with CI/CD tools (e.G., GitHub Actions)
• Experience with Apache Iceberg or similar table formats
• Exposure to data quality frameworks (e.G., Great Expectations, Deequ)
• Knowledge of Bash and HCL would be an added advantage
• Strong communication skills
• Proactive and self‑motivated
• Commitment to continuous learning and improvement
• University degree in technology, preferably in computer science