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We are looking for a Data & Analytics Engineer to join our team.
The focus is predominantly on Data & Analytics Engineering (backend), with limited exposure to reporting and dashboarding (frontend — QuickSight vs QlikView) for those who join.
Responsibilities:
The focus is predominantly on Data & Analytics Engineering (backend), with limited exposure to reporting and dashboarding (frontend — QuickSight vs QlikView) for those who join.
Responsibilities:
- Apply database modeling and database exploration skills with data architecture strategy and design principles to support metrics, analytics, AI/machine learning, and self-service business intelligence across the company.
- Support the team with data sets/products for building, standardize, and maintain reporting and self-service analytics as part of data lake and data mesh concepts;
- Preprocess and engineer features from structured and unstructured data, ensuring quality, lineage, and reliability;
- Analyze data from multiple sources to optimize strategies, operations, and portfolio decisions;
- Implement models and data products with cross functional teams; set up monitoring, alerting, and lifecycle management;
- Leverage cutting-edge cloud technologies such as AWS (preferable) and Azure and data warehouses
- Communicate insights clearly through compelling visualizations and narratives tailored to technical and business audiences;
- Deliver projects safely, on time, and cost effectively while upholding IT governance
- Proactively propose process optimizations, make timely data-driven decisions, and demonstrate resilience through change.
- Senior experience in data management and data analytics with considerable experience in manipulating large datasets and data products;
- Strong autonomy to lead analytic solutions from design to deployment; and strong foundation in analytics framework and data management;
- Strong experience with cloud data-lake architecture and technology, in particular AWS; familiarity with Python data processing libraries; knowledge of IaC is a plus;
- Advanced proficiency in SQL and Python; familiarity with R and object‑oriented scripting is a plus;
- Strong experience with Git for version control, including branch management, code reviews, and collaborative workflows in agile teams is a plus; Hands-on experience with SQL Server Integration Services (SSIS) for ETL/data integration workflows is a plus
- Solid data modeling and experience in data visualization and reporting technologies-especially AWS QuickSight (preferable), MS Fabric/PBI or QlikSense.
- Communication and mediation skills with the ability to influence and engage stakeholder and ability to understand technical concepts and turn them into business terms.
- Familiarity with agile work methodologies (e.g. SCRUM).
- Fluency in English is a requirement; Portuguese proficiency strongly preferred (ability to engage stakeholders in both languages)
Key Skills
Ranked by relevance
aws
python
cloud
sql
data visualization
sql server
server
git
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- Posted
- Jul 01, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Lisbon
- Company
- emagine
Industries
IT Services
IT Consulting
Categories
Research
Analyst
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
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2026-07-03
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Information Technology
View Job Details
Related
Data Analyst - GCP
2026-07-01
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Data Engineer
2026-07-02
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