Grundläggande
Data Engineer
Publicerat: 22.05.2026
Slutdatumet: 06.07.2026
Jobbreferens: d4341c73800e794c4da438c7d8a96ae3
Jobbinformation
Läge
Lisboa, Lisbon Metropolitan Area, Portugal
Företaget
Jobio
Klient / Arbetsgivare
Diconium
Jobbreferens
d4341c73800e794c4da438c7d8a96ae3
Listningstyp
Grundläggande
EU-arbetstillstånd krävs
Nej
Publicerat
22.05.2026
Slutdatumet
06.07.2026
Arbetsbeskrivning
Join our global team of experts At Diconium, we do digital business transformation across various industries. As a team member, you will work on projects that generate value from software, data, and AI by delivering strategies and solutions that challenge conventional industry practices and drive technological progress. Together with over 2,300 fellow experts, you enable Fortune 500 firms, global market leaders, and SMEs to maximize the impact of their digital initiatives and achieve digital excellence. In everything we do, we prioritize people and genuine human connections, ensuring a supportive and inclusive work environment. And we give you maximum flexibility thanks to our hybrid workplace. WHAT YOU CAN EXPECTYou 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 ALONGMust haves:Python, Scripting (Bash/Python/Go/Ruby), ETL, Spark, Amazon Web Services (AWS), good communication skills,, CI/CD, Data Warehouse, Data ArchitectureEnglish-speakingsuitable degreestreaming Processing (Kafka, eventhub etc), SQLrelevant working experience of 5+ yearsNice to have:Agile Methodologies, Software DevelopmentWHAT 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, health offers, supplementary insurances, a pension plan and various discounts.WHAT WE VALUEAt 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. If you have any questions, feel free to reach out.Your contact person isInes, ********
Färdigheter
analyse pipeline database information
cloud technologies
Computer Science
create data models
create data sets
Data Analytics
Data Models
data storage
Data Warehouse
database management systems
design database in the cloud
develop data processing applications
digital data processing
establish data processes
implement data warehousing techniques
manage data
manage ICT data architecture
manage quantitative data
manage research data
perform dimensionality reduction
process data
SAS Data Management
Statistics
store digital data and systems
Teradata Database
Unstructured Data
use data processing techniques
use databases