Data Infrastructure Engineer Id35383 Coimbra

Data Infrastructure Engineer Id35383
Coimbra
Coimbra, Coimbra District, Portugal

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

• 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;

NICE TO HAVES

• Experience with
  -
  - code tools (e. g. , Terraform);
• Familiarity with container orchestration (e. g. , Kubernetes);
• Prior experience managing external data vendors;
• Background working
  - functionally with compliance, legal, and finance teams;
• Experience driving
  - wide data governance or permissioning frameworks.

THE BENEFITS OF JOINING US

• Professional growth : Accelerate your professional journey with mentorship, Tech
  Talks, and personalized growth roadmaps.
• Competitive compensation : We match your
  - growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
• A selection of exciting projects : Join projects with modern solutions development and
  - tier clients that include Fortune 500 enterprises and leading product brands.
• Flextime : Tailor your schedule for an optimal
  - life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

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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.