Basic
Lead Data Engineer
Posted: 22.05.2026
Closing date: 06.07.2026
Job reference: 3eefd6637266b620ab91f351d425ac70
Job information
Location
Lisboa, Lisbon Metropolitan Area, Portugal
Company
Jobio
Client / Employer
Irium Portugal
Job reference
3eefd6637266b620ab91f351d425ac70
Listing type
Basic
EU work permit required
No
Posted
22.05.2026
Closing date
06.07.2026
Job description
At IRIUM we want you to always chase your dreams. Here, prepare yourself to conquer your goals, while enjoying the journey. We are currently looking for. Lead Data EngineerRequirements:We are seeking a skilled Lead Data Engineer with expertise in cloud-native data pipeline development within Microsoft environments. The ideal candidate will have a strong background in data architecture, data modelling, and the ability to implement high-performance data solutions that support our business objectives. You will play a key role in driving data-driven decision-making and enabling scalable analytics solutions across the organization.Required Qualifications to be successful for Lead profiles:Technical Skills:Strong experience in end-to-end data architecture and design, including ingestion, modeling, storage, and orchestration (ex. Medallion).Proficiency in cloud-native engineering, with a focus on Microsoft technologies (Fabric, Azure Data Factory, Synapse) but open to other cloud platforms (AWS, Google Cloud) with comparable tools.Hands-on experience with data warehousing and data lake solutions (e.g., BigQuery, Azure Data Lake, Delta Lake, Amazon Redshift).Proficiency in programming languages such as Python (with data-related libraries: e.g. Pandas, Boto3), SQL, or Spark.Strong knowledge of RDBMS (e.g., Oracle, MS SQL Server) or NoSQL databases (e.g., MongoDB, ElasticSearch, GBQ).Experience with DevOps/DataOps practices, including CI/CD pipelines.Ability to implement data validation, lineage, documentation, and monitoring at scale.Proven ability to optimize pipelines and storage solutions for performance, cost, and reliability.Strong technical leadership experience, with proven ability to guide teams and communicate effectively. Soft Skills:Ability to evaluate trade-offs and make clear, defensible technical choices.Translate complex engineering decisions into clear, accurate explanations for non-technical stakeholders.Uplift and mentor mid/junior engineers, enforce standards, and foster a collaborative technical culture.Break down ambiguous, complex problems into clear, actionable steps and drive them to resolution.Take responsibility for outcomes, anticipate issues, and drive long-term platform evolution. Experience:Minimum 8 years of experience in data engineering, with a focus on cloud-native solutions and data architecture.English proficiency should be at least B2 level.Location: Lisbon, Braga, Coimbra, hybridWhat do we offer? ➡ An innovative and growing company, with a lot of opportunities for professional development.➡ Retribution according to your experience and performance. Access to flexible pay and medical insurance as a social benefit.➡ Unlimited access to technological training in free mode.IRIUM is a company with dynamic and proactive professionals. Our values are responsibility and commitment to work quality. This is the spirit we are looking for at IRIUM, whatever your age is. If you recognize yourself in this, this is your company!We can build the future together. Let’s talk! Send your CV to: [email protected]At IRIUM we defend a world without stereotypes or limitations and we believe in equality for all, principles that we subscribe to in our Equality Plan and Code of Ethics, guaranteeing equal treatment and opportunities regardless of any personal, physical or social condition.
Skills
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