Data Infrastructure Engineer Id35383 Aveiro

Data Infrastructure Engineer Id35383
Aveiro
Aveiro, Aveiro District, Portugal

Job Description

Agile
Engine is one of the Inc. 5000
- growing companies in the US and a
- 3 ranked dev shop according to Clutch. We create
- winning custom software solutions that help companies across 15+ industries change the lives of millions.

If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment every day, there’s no better place - guaranteed! : )

WHAT YOU WILL DO

• Architect, build, and maintain modern and robust
  - time and batch data analytics pipelines;
• Develop and maintain declarative data models and transformations;
• Implement data ingestion integrations for streaming and traditional sources such as Postgres, Kafka, and Dynamo
  DB;
• Deploy and configure BI tooling for data analysis;
• Work closely with product, finance, legal, and compliance teams to build dashboards and reports to support business operations, regulatory obligations, and customer needs;
• Establish, communicate, and enforce data governance policies;
• Document and share best practices with regards to schema management, data integrity, availability, and security;
• Protect and limit access to sensitive data by implementing a secure permissioning model and establishing data masking and tokenization processes;
• Identify and communicate data platform needs, including additional tooling and staffing;
• Work with
  - functional teams to define requirements, plan projects, and execute on the plan.

MUST HAVES

NICE TO HAVES

THE BENEFITS OF JOINING US

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Requirements

5+ years of engineering and data analytics experience; Strong SQL and Python / Scala skills for complex data analysis; Hands-on experience building automation tooling and pipelines using Python, Scala, Go, or Type
Script; Experience with modern data pipeline and warehouse tools (e. g. , Snowflake, Databricks, Spark, AWS Glue); Proficiency with declarative data modeling and transformation tools (e. g. , DBT, Sql
Mesh); Familiarity with
- time data streaming (e. g. , Kafka, Spark); Experience configuring and maintaining data orchestration platforms (e. g. , Airflow); Background working with
- based data lakes and secure data practices; Ability to work autonomously and drive projects
-
- end; Strong bias for simplicity, speed, and avoiding overengineering; Upper-intermediate English level.