Βασικό
Data Engineer GCP (Google Cloud Plataform)
Δημοσιεύτηκε: 18.05.2026
Καταληκτική ημερομηνία: 02.07.2026
Αναφορά εργασίας: b4d652612433af7b00b6aaf934a0a3a8
Πληροφορίες εργασίας
Τοποθεσία
Lisboa, Lisbon Metropolitan Area, Portugal
Εταιρεία
Jobio
Πελάτης / Εργοδότης
Alter Solutions
Αναφορά εργασίας
b4d652612433af7b00b6aaf934a0a3a8
Τύπος καταχώρησης
Βασικό
Απαιτείται άδεια εργασίας της ΕΕ
Όχι
Δημοσιεύτηκε
18.05.2026
Καταληκτική ημερομηνία
02.07.2026
Περιγραφή καθηκόντων
Company DescriptionAlter Solutions Portugal is an IT Consultancy Company, promoter of Digital Transformation, part of the Alter Solutions Group, created in 2006, in Paris.In 2022, Alter Solutions joined the act digital group, constituting a global community of talent in Technology, with presence in thirteen countries: Germany, Belgium, Brazil, Canada, United States of America, Mexico, Morocco, Spain, France, Luxembourg, Poland, Portugal and Serbia. Also in 2023, we were certified as a Great Place to Work©.In Portugal, we partner with over 120 clients and a team of over 500 people, working in projects for industries as diverse as banking, insurance, transportation, aviation, energy, and telecom.Headquarters of the Nearshore IT center, Alter Solutions Portugal has a dedicated team of around 30 specialized professionals, integrated into projects with several internationally renowned clients.Job DescriptionWe are looking for a skilled Data Engineer to join our team. As a Data Engineer, you will be responsible for understanding business and technological challenges, develop data pipelines tackling those challenges, and ensuring their smooth deployment. You will as well be responsible of the applications of standard industry and within-the-company good practices,and the application and evolution of our various patterns. This is a remote position. MAIN RESPONSABILITIES• Projects understanding and Communicationo Understand problems from a user perspective and communicate to clearly understand the issue.o Ensure the architecture provided by the Data Architect is clearly understood by yourself.o Communicate with the Data Architect and your peers on the technical solution you’re developing and communicate with the Project Manager in charge of the project you’re working on.• Developmento Write and communicate on new or updated interface contracts.o Develop data pipelines based on the defined architecture.o Ensure the regular good practices are applied.o Deploy requested infrastructure, particularly using Terraform.o Make peer reviews and ask to your peers to review your code when merging a new version of the codebase. • Testingo Define tests with your project manager, based on the functional and technical requirements of the pipeline you’re developing.o Perform those tests and communicate regularly on the results.o Regularly summarize the results of your tests in a dedicated document.• Deploymentso Present to the Data Architect in charge of the architecture, and the Lead DataOps, the development that was performed through our Deployment Reviews.o Track and communicate on any potential errors in the entire period of active monitoring following a deployment.o Ensure diligent application of deployment process, logging, and monitoring strategy.REQUESTED HARD SKILLS• Google Cloud Platform: General knowledge of the platform and various services, and at least one year of experience with GCP.• Azure Cloud Platform: A general knowledge of the platform is a plus.• Apache Airflow: At least two years of experience with the Airflow orchestrator, experience with Google Composer is a plus.• Google BigQuery: Extensive experience (at least 2 years) with GBQ, know how to optimize tables and queries, and able to design database architecture. The candidate should know more than the regular creation of tables, and should be aware of trade-offs in developing and deploying some infrastructure versus others.• Terraform: At least one years of experience with Terraform.• Apache Spark: This is an optional expertise we would highly value. Some of our pipelines are slowly being rewritten using pySpark, the Data Engineer should be able to maintain get them evolving.• Additional knowledge and experience that are a plus:o Pub/Subo Kafkao Google Cloud Storageo Dataflow (or Apache Beam)
Δεξιότητες
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