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diconium

Data Engineer

diconium

. Gather and process raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks .

Posted 10/15/2026full-timeLisbon • PortugalMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and managing data pipelines, utilizing technologies such as Python, Spark, and AWS to deliver innovative data solutions. Strong communication skills support collaboration with stakeholders to drive technology decisions across various industries.

Highest-signal resume keywords
PythonETLSparkAmazon Web Services (AWS)SQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonETLSparkSQLScripting with BashScripting with GoScripting with RubyData ArchitectureStreaming Processing with KafkaData Warehouse
Soft Skills
Good Communication Skills
Tools & Technologies
Amazon Web Services (AWS)CI/CDAgile Methodologies
Certifications & Qualifications
Suitable Degree
Industry Keywords
MobilityAutomotiveIndustrialConsumerFinancialNon-Profit

Tech Stack

Tools & technologies
AWSETLKafkaPythonRubySparkSQLGo

About the role

Key responsibilities & impact
  • Gather and process raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks
  • Monitor and improve pipeline performance
  • Work on fast-paced and innovative projects to deliver innovative solutions for customers
  • Support internal and external stakeholders in making technology decisions
  • Design, implement, and manage data pipelines for internal and external clients
  • Help customers obtain necessary data easily and transparently to develop intelligent data products across mobility, automotive, industrial, consumer, financial, and non-profit fields

Requirements

What you’ll need
  • Python
  • Scripting with Bash, Python, Go, or Ruby
  • ETL
  • Spark
  • Amazon Web Services (AWS)
  • Good communication skills
  • CI/CD
  • Data Warehouse
  • Data Architecture
  • English-speaking
  • Suitable degree
  • Streaming processing with Kafka, EventHub, etc.
  • SQL
  • Relevant working experience of 5+ years
  • Agile Methodologies (nice to have)
  • Software Development (nice to have)

Benefits

Comp & perks
  • Training programs
  • Free language courses
  • Competence centers
  • Active tech community
  • Hybrid work
  • Workation
  • Flexible hours
  • Parental support
  • Sabbaticals
  • Sustainability Hub
  • Diverse communities
  • Diversity Taskforce
  • After-work activities
  • Public transport tickets
  • Job bikes
  • Exclusive Volkswagen employee conditions when leasing or purchasing a vehicle
  • Health offers
  • Supplementary insurances
  • Pension plan
  • Various discounts