Senior Data Engineer - (Híbrido - 1x Porto - Rio Tinto) (M/F)
- Salary
- €40K–€50K
- Hiring from
- Portugal
- Work type
- Hybrid
- Posted
627,359 remote jobs, straight from company career pages
100% free · New jobs every minute
Show job descriptionHide job description
Senior Data Engineer - (Híbrido - 1x Porto - Rio Tinto) (M/F)
Oportunidade
A Sysmatch tem uma oportunidade para uma Empresa Multinacional Americana de Soluções de tecnologia da informação!
Perfil/ Requisitos:
Professional Experience:
•5 years working as a data engineer.
•2/3 years in a lead / senior role (owning design decisions, reviewing work of others).
•Strong experience with: Customer 360 / CDP or similar customer data platforms and Large-scale data pipelines on Snowflake (core requirement).
•Experience moving data platforms from on-prem BI/DWH to cloud.
Technical Skills :
Data Engineering
•Strong SQL (joins, window functions, query tuning) and strong knowledge in Python
•Design and build of ETL/ELT pipelines: Incremental loads using timestamps or change flags and error handling, restart / re-run without data issues.
•Good knowledge of data modelling: Dimensional models (facts and dimensions) and Customer data concepts: identities, events, sessions, behaviour.
Snowflake
•Hands-on with: Warehouses, schemas, stages, file formats; tasks, streams, Time Travel, micro-partitions; roles, permissions and separation of environments (dev/test/prod).
•Used to improving performance and cost: query tuning and clustering and warehouse sizing and auto-suspend.
Integration & Marketing Data
•Experience connecting data to MarTech / CDP tools (e.g. Braze, Salesforce Marketing Cloud, Adobe Campaign, etc.) and Ingesting data from: CRM / ecommerce platforms (e.g. Salesforce or similar), Web/app analytics tools (GA/GA4 or similar) and POS / store systems and customer support tools.
•Comfortable working with event data and near real-time feeds.
Cloud, Orchestration & CI/CD
•Experience with at least one major cloud (Azure, AWS or GCP).
•Worked with orchestration tools (Azure Data Factory, Airflow, dbt, or similar).
•Git-based development (branches, pull requests, code review).
•Basic CI/CD for data pipelines (e.g. Azure DevOps, GitHub Actions).
Data Quality & Monitoring
•Setting up data checks (completeness, duplicates, basic business rules).
•Monitoring jobs and data freshness, creating alerts when something fails.
Range Salarial: €40k - €50k Bruto/Anual+ Outras Componentes/Benefícios.
✅ Para se candidatar envie o seu CV para marta.simoes@sysmatch.pt!
