Senior Analytics Engineers / Mid Analytics Engineers

IRIUM Portugal; Lisboa; Presencial; EUR 55 000 - 60 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Formação tecnológica ilimitada

Seguro médico

Ambiente de trabalho inovador

Resumo da oferta

A IRIUM Portugal está à procura de Engenheiros Analytics (Sênior e Intermediário) em Lisboa. O papel envolve modelagem de dados, construção de pipelines ETL e monitoramento de qualidade.

Os candidatos devem ter um mínimo de 3 a 5 anos de experiência em ambientes de dados, com um diploma em ciência de dados ou área similar. O trabalho oferece um modelo híbrido e um salário competitivo entre 55k e 60k euros anuais.

A empresa promove oportunidades de desenvolvimento profissional e aprendizado contínuo.

Qualificações

• Experiência mínima de 5 anos em ambientes de dados para Engenheiro Sênior.
• Experiência mínima de 3 anos em ambientes de dados para Engenheiro Intermediário.
• Proficiência em inglês no nível B2 ou superior.

Responsabilidades

• Modelar e transformar dados em estruturas analíticas consistentes.
• Construir e otimizar pipelines ETL e testes de qualidade.
• Monitorar conjuntos de dados, qualidade e performance.

Conhecimentos

Modelagem de Dados Avançada

Otimização de Modelos em Larga Escala

Automação e Orquestração de Pipeline

SQL e Engenharia de Performance

Transformações com Python/Spark

CI/CD para Pipelines de Dados

Frameworks de Qualidade de Dados

Governança e Catalogação de Dados

Modelagem BI e Performance

Arquitetura e Armazenamento em Nuvem

Formação académica

Licenciatura em Ciência de Dados, Ciência da Computação, Análises ou área relacionada

Ferramentas

Azure Data Factory

Apache Airflow

Databricks

Power BI

BigQuery

Snowflake

Descrição da oferta de emprego

Senior Analytics Engineers / Mid Analytics Engineers

Responsibilities

• Model and transform data into consistent analytical structures.
• Build and optimize ELT pipelines and quality tests.
• Ensure clear documentation (business rules, lineage, transformation logic).
• Monitor datasets, quality, SLAs, and performance.
• Support DS/BI/ML with reliable data and semantic layers.
• Collaborate closely with DE/DS/MLE/PO for integrated and value-driven deliveries.

Technical Skills

• Advanced Data Modeling and Architecture: Expertise in star schema, dimensional modeling, medallion architecture, schema evolution management, and semantic layer design.
• Large Scale Semantic Layer & Data Model Optimization: Building and optimizing large-scale models, ensuring performance, consistency, and governance.
• Pipeline Orchestration and Automation: Experience with ETL/ELT tools like Azure Data Factory, Apache Airflow, Microsoft Fabric, Databricks Workflows.
• SQL Expertise & Performance Engineering: Proficiency in query tuning, partitioning, clustering, and handling large volumes of data with scalable SQL.
• Advanced Transformations with Python/Spark: Expertise in using PySpark, Spark SQL, and structured Python for advanced data transformations.
• CI/CD and Versioning for Data Pipelines: Experience with implementing CI/CD pipelines, version control, and DevOps best practices for data.
• Data Quality Frameworks & Observability: Rule definition, automated data validation, end-to-end monitoring, and observability.
• Data Governance, Cataloging, and Lineage: Practical use of tools like Microsoft Purview or Unity Catalog for governance, cataloging, and lineage tracing.
• BI Modeling and Performance: Advanced semantic modeling in Power BI, DAX optimization, and efficient analytical model design.
• Cloud Data Warehousing and Technical Architecture: Hands‑on experience with platforms like BigQuery, Snowflake, Synapse, Delta Lake, ADLS, and Redshift; understanding system interdependencies.

Soft Skills

• Ability to clearly align and bridge the needs of business, Business Intelligence, Data Science, and Data Engineering teams, transforming requests into actionable technical requirements.
• Supports the growth of junior profiles through guidance and functional reviews while promoting collective improvement in the team's output quality.
• Demonstrates accountability for delivering high-quality, consistent, and stable models and analyses while sustaining team trust and reliability.
• Tackles ambiguous issues with a structured approach, identifies root causes, and proposes scalable and effective solutions to mitigate them.
• Easily adapts to shifting priorities, efficiently generates workload plans, and proactively communicates risks to maintain smooth operations.

Experience Requirements

Senior Analytics Engineer

• Professional Experience: Minimum 5+ years in data analytics environments with a proven record of architecting and deploying production‑grade analytical solutions.

Mid Analytics Engineer

• Professional Experience: Minimum 3+ years in data analytics environments with hands‑on contribution to reliable data solutions.

Other Requirements

• Educational Background: A degree in Data Science, Computer Science, Analytics, Machine Learning, or a related domain.
• Language Skills: Proficiency in English at a minimum B2 level or higher.

Location

Lisbon, hybrid.

Salary

Range Salarial
Remuneração bruta anual:55k - 60k - Brutos anuais /2.800€ – 3.050€ líquido/mês.

Nota:Inclui todas as componentes: Fixo, Variável, Subsídio de Alimentação, Teletrabalho e Benefícios.

Benefits

• An innovative and growing company, with a lot of opportunities for professional development.
• Retribution according to your experience and performance. Access to flexible pay and medical insurance as a social benefit.
• Unlimited access to technological training in free mode.

Equal Opportunity Statement

At IRIUM we defend a world without stereotypes or limitations and we believe in equality for all, principles that we subscribe to in our Equality Plan and Code of Ethics, guaranteeing equal treatment and opportunities regardless of any personal, physical or social condition.