Num relance
- Tarefas: Gerir a integridade dos dados de RH e garantir qualidade na ingestão de dados.
- Empresa: Siemens Energy, uma empresa inovadora com cultura colaborativa.
- Benefícios: Salário competitivo, benefícios de saúde e oportunidades de desenvolvimento profissional.
- Outras informações: Ambiente dinâmico com excelentes oportunidades de crescimento na carreira.
- Porquê este emprego: Trabalhe com dados em nuvem e faça a diferença na gestão de informações de RH.
- Qualificações: Habilidades em SQL, Python e experiência com plataformas de dados em nuvem.
O salário previsto situa-se entre 60750 - 74250 € por ano.
Data Engineer and Operations Specialist About the Role Job ID 287350 Location Portugal Lisboa Amadora Remote vs.
Office Hybrid (Remote/Office) Company Siemens Energy Unipessoal Lda.
Organization EVP Global Functions Business Unit Digital Core Full / Part time Full-time Experience Level Professional / Experienced A Snapshot of Your Day You will own the integrity of HR master data across our landscape.
Your day blends hands‐on analysis (SQL/Python), ingestion quality work on our AWS/Snowflake‐based HR Data Hub, and collaboration with domain and system owners to diagnose breaks between source systems (Workday, local HCMs), the hub, and 235+ downstream consumers.
Your goal: clean, timely, and trusted HR data, validated at the point of entry, not repaired downstream.
How You'll Make an Impact Ingestion quality gates: Design and operate automated validation at the point of entry for inbound integrations, schema checks, completeness, and referential integrity against source; so downstream consumers receive trusted data by default.
End-to-end data quality assurance: Ensure correct HR master data across source, hub, and target systems; identify, classify, and resolve data errors with documented root cause.
Data matching & reconciliation: Build matching logic and reconciliation processes (person, position, org structures) between source systems and the hub to enforce consistency.
Pipeline reliability & monitoring: Develop and optimize Snowflake/Snowpipe ingestion and integration pipelines, including monitoring, alerting, and SLAs.
Interface stewardship: Maintain technical interfaces (Workday data provider; local HCM HR Data Hub receiving systems) and support change delivery.
Test support for enhancements: Plan and execute UAT/regression tests; track defects and validate production fixes.
What You Bring
Data engineering skills: Proficiency in SQL and Python; experience with ETL/orchestration and REST/batch APIs.
Cloud data platform experience: Hands‐on with Snowflake (Snowpipe, Streams/Tasks) on AWS; understanding of S3‐based ingestion patterns, IAM least‐privilege access, and Cloud Watch monitoring.
Data quality tooling: Experience implementing automated DQ checks at ingestion (, Great Expectations, dbt tests, Snowflake data metric functions).
HR data domain expertise: Knowledge of HR master data domains (employee, position, organization, compensation) and lifecycle events; hands‐on experience with Workday or SAP HCM/S4 is a plus.
Quality mindset: Experience in data profiling, matching, deduplication, reconciliation, and root cause analysis.
Compliance: Understanding of privacy, access control, and audit requirements in HR data (regional requirements apply).
Empregador para Data Engineer And Operations Specialist in Lisbon: Siemens Energy
A Siemens Energy é um empregador de excelência, oferecendo um programa de formação inovador que combina experiência prática com oportunidades de crescimento pessoal e profissional. Com um ambiente de trabalho inclusivo e diversificado, os colaboradores têm acesso a mentores experientes e uma rede global, permitindo-lhes desenvolver competências em finanças corporativas e inovação digital. Localizada em Munique, a empresa proporciona uma experiência internacional enriquecedora, contribuindo para a transição energética sustentável e impactando positivamente a sociedade.
