Data Engineer (all genders)
Read straight from Diconium's careers page, verified 1d ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
LocationLisbon; Porto
Work modehybrid
Typefull-time
SenioritySenior
Experience5+ yrs
Company size1,001–5,000 people
PostedOct 15, 2026 · 3w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Python, Scripting (Bash/Python/Go/Ruby), ETL, Spark, Amazon Web Services (AWS), good communication skills, CI/CD, Data Warehouse, Data Architecture
English-speaking
suitable degree
streaming Processing (Kafka, eventhub etc), SQL
relevant working experience of 5+ years
Agile Methodologies, Software Development
Skills
Python
Bash
Go
Ruby
ETL
Spark
Amazon Web Services (AWS)
CI/CD
Data Warehouse
Data Architecture
Kafka
Eventhub
SQL
Agile Methodologies
Software Development
Benefits
Professional development
Training
Language courses
Hybrid work
Workation
Flexible hours
Parental support
Sabbaticals
Sustainability hub
Diversity communities
Diversity taskforce
After work activities
Public transport tickets
Job bikes
Vehicle leasing discount
Health offers
Supplementary insurances
Pension plan
Discounts
Join our global team of experts
At Diconium, you will work on projects that connect software, data, AI, and human expertise to create digital products, services, and operating models that deliver measurable business impact. Together with 2,500 experts across our international teams, you will help build, run, and scale intelligence across the full value chain.
In everything we do, we prioritize people and genuine human connections, ensuring a supportive and inclusive work environment. Our hybrid workplace also provides a high degree of flexibility.
WHAT YOU CAN EXPECT
•
You will gather and process raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks.
•
You will monitor and improve the performance of the pipelines.
•
You will work on fast paced and innovative projects with the goal to deliver innovative solutions for our customers.
•
You will support different stakeholders (internal/external) in making the right technology decisions.
•
You will design, implement, and manage data pipelines for our clients (internal/external)
•
You will support our customers in obtaining the necessary data easily and transparently in order to develop intelligent data products in different fields (mobility, automotive, industrial, consumer, financial & non-profit organizations).
WHAT YOU BRING ALONG
Must haves:
•
Python, Scripting (Bash/Python/Go/Ruby), ETL, Spark, Amazon Web Services (AWS), good communication skills, CI/CD, Data Warehouse, Data Architecture
•
English-speaking
•
suitable degree
•
streaming Processing (Kafka, eventhub etc), SQL
•
relevant working experience of 5+ years
Nice to have:
•
Agile Methodologies, Software Development
WHAT WE HAVE TO OFFER
Discover new skills and improve your strengths, adapt your working day to your personal lifestyle, celebrate community, sustainability and diversity. And sweeten your working life with awesome perks and benefits!
Professional & Personal Growth: Develop yourself both professionally and personally through training programs, free language courses, competence centers and an active tech community.
Flexible Work-Life Balance: Benefit from hybrid work, workation, flexible hours, parental support and sabbaticals.
Embrace Diversity & Sustainability: Engage in our Sustainability Hub, diverse communities, Diversity Taskforce and after-work activities.
Comprehensive Benefits: Enjoy public transport tickets, job bikes, access to exclusive Volkswagen employee conditions when leasing or purchasing a vehicle, health offers, supplementary insurances, a pension plan and various discounts.
WHAT WE VALUE
Legal
At Diconium, we value and recognize the unique perspectives and experiences of each individual. With this in mind, we welcome and cherish every single application equally. At the same time, we stand up against any type of discrimination and harassment based on gender, age, skin color, religion, sexual orientation, origin, disability, gender identity and other protected characteristics.