Data Engineer transforming data into actionable insights at InnoWave. Designing data pipelines and collaborating between technical teams and business stakeholders in Lisbon.
About the role
- Data Engineer supporting, developing, and maintaining a data analytics platform with agile delivery. Working with business and IT teams to leverage data technologies effectively.
Responsibilities
- Supports, develops and maintains a data and analytics platform.
- Effectively and efficiently process, store and make data available to analysts and other consumers.
- Works with the Business and IT teams to understand the requirements to best leverage the technologies to enable agile data delivery at scale.
- Implements and automates deployment of our distributed system for ingesting and transforming data from various types of sources (relational, event-based, unstructured).
- Implements methods to continuously monitor and troubleshoot data quality and data integrity issues.
- Implements data governance processes and methods for managing metadata, access, retention to data for internal and external users.
- Develops reliable, efficient, scalable and quality data pipelines with monitoring and alert mechanisms that combine a variety of sources using ETL/ELT tools or scripting languages.
- Develops physical data models and implements data storage architectures as per design guidelines.
- Analyzes complex data elements and systems, data flow, dependencies, and relationships in order to contribute to conceptual physical and logical data models.
- Participates in testing and troubleshooting of data pipelines.
- Develops and operates large scale data storage and processing solutions using different distributed and cloud based platforms for storing data (e.g. Data Lakes, Hadoop, Hbase, Cassandra, MongoDB, Accumulo, DynamoDB, others).
Requirements
- Preferred working experience in technologies like Spark with Databricks and/or Snowflake, PowerBI and deep understanding of conceptual developments in Agentic AI.
- Knowledge of SQL (strong)
- Python (basic for data handling)
- Databricks notebooks (basic transformations)
- Understanding of bronze → silver → gold architecture
- Familiarity with cloud concepts and technologies in Azure
- External candidate must have completed a degree from an accredited US University within the past 2 years.
- External candidate must currently reside in the US.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Tech skills
Location requirements
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