Empregos em sql

**Your Mission**

Build and lead a high-performing international department that ensures the efficient recovery of customer receivables, reliable payment operations, and continuous process improvement through automation, technology, and operational efficiency.

**🌎 Location:** Headquarters, Parque das Nações

**⏰ Schedule:** Monday – Friday: 08:30 – 17:30 (one-hour break)

**💰 What we offer:**

– Salary up to 3500 euros (fix salary + meal card + performance bonuses) based on proven experience and competencies.
– Company car;
– International working environment;
– Opportunity to grow within a dynamic and fast-paced organization;
– Supportive and collaborative team culture.

**📋 Responsibilities:**

**Department Leadership**

– Lead and develop an international team of 10 specialists across multiple countries;
– Define the department’s strategy, objectives, and KPIs;
– Create a high-performance culture focused on accountability, continuous improvement, and customer experience;
– Manage department planning, workload allocation and resource optimization;
– Own the department budget and identify cost-saving & revenue optimisation opportunities.

**Collections**

Lead all post-rental financial recovery processes across the Group, including:

– Fines;
– Tolls;
– Damages;
– Late charges;
– Administrative fees;
– Customer debt recovery;
– Refunds;
– Bank disputes;
– Post-rental financial claims.

Ensure all cases are handled accurately, efficiently and within agreed service levels while maximizing recovery rates and maintaining a professional customer experience.

**Payments & Financial Infrastructure**

– Own the Group payment ecosystem;
– Manage relationships with banks and payment providers;
– Lead the administration of all POS devices across the Group;
– Coordinate payment providers such as Shift4, Monet and other financial partners;
– Oversee transaction monitoring, payment reconciliation and payment controls;
– Ensure compliance with card scheme and banking requirements.

**Digital Transformation & Automation**

– Lead the department’s digital transformation roadmap;
– Eliminate manual processes through automation;
– Lead migration to new business systems;
– Define business requirements for new software developments;
– Work closely with IT and business stakeholders to improve operational efficiency;
– Continuously identify opportunities to simplify, standardize, and automate processes.

**Operational Efficiency**

– Monitor department performance through KPIs and dashboards;
– Improve recovery rates while reducing operational costs;
– Standardize processes across Romania, Portugal, Austria and Hungary;
– Ensure operational risks are identified and mitigated;
– Continuously improve customer and internal stakeholder experience;

**Stakeholder Management**

Collaborate closely with:

– Operations;
– Finance;
– IT;
– Revenue Management;
– Reservations & Support;
– Legal;
– External banking and payment partners;

Act as the main point of contact for strategic initiatives related to Collections & Payments.

**💼** **What We’re Looking For****:**

**Required Experience**

– Minimum 3 years of management experience leading operational/debt recovery teams;
– Strong background in Operations, Shared Services, Financial Operations, Collections or Payments;
– Proven experience improving operational processes and implementing automation;
– Experience managing external vendors and strategic partners;
– Experience managing departmental budgets and KPIs;
– Experience leading cross-functional projects.

**Skills**

– Strong leadership and people management skills;
– Excellent analytical and problem-solving abilities;
– Strong organizational skills;
– Strong project management capabilities;
– Ability to simplify complex operational processes;
– Data-driven decision-making;
– Excellent stakeholder management and communication skills;
– Fluent English.

**Nice to Have**

– Experience in the mobility, car rental, banking or fintech industries;
– Experience with ERP implementations;
– Power BI, SQL or advanced Excel;
– Knowledge of payment processing, chargebacks or card schemes;
– Lean Six Sigma or other continuous improvement methodologies.

**Success in This Role**

During your first 12 months, you will be expected to:

– Implement accurate, actionable reporting to measure recovery performance, collection effectiveness, team productivity, and operational efficiency.
– Improve customer receivables recovery rates.
– Reduce operational costs through automation and process optimization.
– Successfully lead the department’s migration to new business systems.
– Increase operational efficiency by reducing manual work.
– Build standardized processes across all Group companies.
– Strengthen relationships with banking and payment partners.
– Deliver reliable operational reporting and performance visibility.

**🏢 Why Klass Wagen?**

Join us in shaping the future of Car Rentals!

*A World of Opportunities:* When you join Klass Wagen, you’re not just an employee; you’re a valued contributor to our vision of affordable and reliable transportation for all. We offer an environment where your ideas are heard, your growth is nurtured, and your ambitions are supported.

*Values That Drive Us:* At the core of our success are values that guide every aspect of our business. Integrity is our compass, ensuring that every interaction is marked by transparency and trustworthiness. Ambition fuels our determination to continually innovate and surpass expectations. Professionalism is our commitment to delivering the highest standards of service. Fellowship forms the strong bonds that unite us as a team.

*15 Years of Excellence:* With a rich history spanning over a decade, we’ve fine-tuned our expertise and cultivated a reputation for exceptional service and unbeatable prices in Romania, Hungary, and Portugal.

Are you ready to steer your career toward excellence, integrity, and a brighter future in the car rental industry?

Together, we’ll drive change and create a future where affordability meets quality. Join us today!

## Company Description

At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better.

## Job Description

– Design and maintain scalable data solutions that support AI applications and advanced analytics.
– Build and optimize semantic data models, ensuring high-quality, trusted metrics for business and AI consumption.
– Develop integrations between data platforms, semantic layers, and AI-powered solutions.
– Collaborate with cross-functional teams to translate business needs into reliable data products.
– Identify opportunities to improve data quality, governance, and semantic consistency across the platform.
– Apply causal inference and advanced analytical techniques to generate meaningful business insights.
– Support AI initiatives through LLM integration, prompt engineering, and Retrieval-Augmented Generation (RAG).
– Provide technical leadership through mentoring, code reviews, architectural guidance, and engineering best practices.
– Partner with Data Engineers, Analytics Engineers, Product Managers, and AI teams to deliver scalable solutions.
– Drive innovation by promoting modern data engineering, AI, and analytics best practices across the organization.

## Qualifications

– Bachelor’s or Master’s degree in Computer Science, Software Engineering, Industrial Engineering, Mathematics, or a related technical field.
– 5+ years of experience in senior Data Engineering, AI Engineering, Analytics Engineering, or related data-focused roles.
– Strong hands-on experience with modern data platforms, including Databricks (Delta Lake, Unity Catalog, MLflow, Databricks Apps) and Google Cloud Platform services such as BigQuery, Cloud Run, Pub/Sub, and Vertex AI.
– Solid expertise in Python for advanced data engineering, API development (FastAPI), and integration with LLM frameworks such as LangChain or Anthropic.
– Experience building and leveraging semantic layers and metric definitions to support advanced analytics, SQL workloads, and AI-powered applications.
– Strong understanding of causal inference techniques, including Difference-in-Differences (DiD), Regression Discontinuity Design (RDD), Instrumental Variables (IV), and modern Causal ML frameworks.
– Experience working with Generative AI solutions, prompt engineering, Retrieval-Augmented Generation (RAG), and evaluating LLM outputs.
– Good understanding of data governance, identity and access management (IAM), and secure data architecture principles.
– Proven ability to lead technical initiatives, mentor engineering teams, and influence architectural decisions across multiple stakeholders.
– Excellent communication, problem-solving, and collaboration skills, with the ability to explain complex technical concepts to both technical and business audiences.

## Additional Information

The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.

## Company Description

At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better.

## Job Description

We are looking for a hands-on technical leader to define, build, and scale our Data Visualization Practice.

You will serve as the “Player-Coach” for the unit: defining the Go-To-Market strategy and winning new business, while simultaneously acting as the Chief Architect who defines the engineering standards for the team. You will lead the transition to code-first BI (TMDL, Git) while ensuring our solutions integrate seamlessly with any modern data platform (Fabric, Databricks, BigQuery, Snowflake, etc.).

**1. Practice Strategy & Commercial Support**

– Go-to-Market Strategy: Support the definition and execution of the practice roadmap, service offerings, and sales strategy.
– Pre-Sales Support & Solutioning: Partner with the PreSales and Sales teams to support technical pre-sales, design solution architectures, and scope proposals (SOWs) for clients.
– Team Leadership: Recruit, mentor, and lead a team of BI Architects and Analysts, fostering a culture of technical excellence.

**2. Technical Architecture & Engineering Standards**

– Modern BI Governance: Enforce the use of TMDL (Tabular Model Definition Language), Git-based version control, and CI/CD pipelines to treat BI as a software engineering discipline.
– Advanced Data Modeling: Enforce strict Dimensional Modeling (Kimball) standards across the team to ensure scalability and performance.
– Source-Agnostic Integration: Architect robust semantic models that consume data from diverse modern data platforms, including Databricks, Google BigQuery, Amazon Redshift, Snowflake, and Microsoft Fabric, that also leverages a strategy for Import vs. DirectQuery vs. Composite Models to optimize performance over non-native sources (Databricks, Snowflake, etc.)
– Quality Assurance: Act as the lead technical reviewer for complex DAX, data models, and code merges, ensuring “pixel-perfect” and performant delivery.
– Al-Augmented Development: Lead the adoption of Al tools (Copilot in Fabric/Power BI) to accelerate DAX generation and documentation, tracking efficiency gains.
– Visual Governance: Enforce the ‘Mockup-First’ methodology, ensuring no development begins without a signed-off prototype from the UX/UI team.

## Qualifications

**Must-Have Technical Skills:**

– Power BI Mastery: Expert-level capability in DAX, Power Query (M), and calculation groups. You must be able to debug the most complex performance issues.
– Advanced SQL: You must be fluent in writing complex SQL queries for data analysis and validation across different dialects (T-SQL, Spark SQL, BigQuery SQL, etc.).
– Code-First BI Experience: Hands-on experience with Tabular Editor, TMDL, and Git integration.
– Data Modeling: Deep expertise in Star Schema design and Kimball methodologies.

**Broad Data Ecosystem Knowledge:**

– Proven experience connecting BI tools to non-Microsoft sources (e.g., Databricks Lakehouse, Google BigQuery, AWS Redshift). You understand the nuances of Direct Query vs. Import in these scenarios.

**Nice-to-Have Skills:**

– Tableau: Experience designing and deploying Tableau solutions (to support agnostic client requests).
– Python: Ability to use Python for light data engineering or scripting.
– dbt: Familiarity with dbt for transformation layers.

**Soft Skills:**

– Commercial Acumen: Experience in consulting pre-sales, commercial modeling, and writing proposals.
– Communication: Ability to translate technical complexity into clear business value for C-Level stakeholders.

**Success Metrics**

– Adoption: Successful rollout of the new “Code-First” workflow (TMDL/Git) across the team.
– Growth: Increase in practice revenue through successful pre-sales and new client wins.
– Quality: Reduction in rework and increase in stakeholder satisfaction via the new “Mockup-First” governance.

## Additional Information

The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.

## Company Description

At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better.

## Job Description

– Design and maintain scalable data solutions that support AI applications and advanced analytics.
– Build and optimize semantic data models, ensuring high-quality, trusted metrics for business and AI consumption.
– Develop integrations between data platforms, semantic layers, and AI-powered solutions.
– Collaborate with cross-functional teams to translate business needs into reliable data products.
– Identify opportunities to improve data quality, governance, and semantic consistency across the platform.
– Apply causal inference and advanced analytical techniques to generate meaningful business insights.
– Support AI initiatives through LLM integration, prompt engineering, and Retrieval-Augmented Generation (RAG).
– Provide technical leadership through mentoring, code reviews, architectural guidance, and engineering best practices.
– Partner with Data Engineers, Analytics Engineers, Product Managers, and AI teams to deliver scalable solutions.
– Drive innovation by promoting modern data engineering, AI, and analytics best practices across the organization.

## Qualifications

– Bachelor’s or Master’s degree in Computer Science, Software Engineering, Industrial Engineering, Mathematics, or a related technical field.
– 5+ years of experience in senior Data Engineering, AI Engineering, Analytics Engineering, or related data-focused roles.
– Strong hands-on experience with modern data platforms, including Databricks (Delta Lake, Unity Catalog, MLflow, Databricks Apps) and Google Cloud Platform services such as BigQuery, Cloud Run, Pub/Sub, and Vertex AI.
– Solid expertise in Python for advanced data engineering, API development (FastAPI), and integration with LLM frameworks such as LangChain or Anthropic.
– Experience building and leveraging semantic layers and metric definitions to support advanced analytics, SQL workloads, and AI-powered applications.
– Strong understanding of causal inference techniques, including Difference-in-Differences (DiD), Regression Discontinuity Design (RDD), Instrumental Variables (IV), and modern Causal ML frameworks.
– Experience working with Generative AI solutions, prompt engineering, Retrieval-Augmented Generation (RAG), and evaluating LLM outputs.
– Good understanding of data governance, identity and access management (IAM), and secure data architecture principles.
– Proven ability to lead technical initiatives, mentor engineering teams, and influence architectural decisions across multiple stakeholders.
– Excellent communication, problem-solving, and collaboration skills, with the ability to explain complex technical concepts to both technical and business audiences.

## Additional Information

The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.

A Expleo está a recrutar um/a Data Analyst para a área de IT & Digital, em regime remoto, com contrato permanente. Os candidatos devem residir em Portugal.

A Expleo é uma empresa global de engenharia, tecnologia e consultoria, presente em 30 países, que apoia organizações em processos de inovação, transformação tecnológica e melhoria da cadeia de valor.

Responsabilidades:

• Definir mapeamentos de dados e regras de migração, nomeadamente entre SuccessFactors, UKG e Payroll;
• Apoiar atividades de extração e limpeza de dados;
• Validar dados relacionados com colaboradores e payroll;
• Liderar atividades de reconciliação de dados;
• Garantir a qualidade dos dados e questionar inconsistências;
• Colaborar com Business Analysts para alinhar os dados com os processos de negócio.

Requisitos:

• 5 a 8 anos de experiência como Data Analyst;
• Forte experiência em migração e análise de dados;
• Conhecimento de modelos de dados de Recursos Humanos;
• Experiência com Excel e SQL;
• Fortes competências analíticas e de resolução de problemas;
• Elevada atenção ao detalhe;
• Capacidade para questionar outputs de fornecedores e garantir a qualidade dos dados;
• Inglês fluente obrigatório;
• Residência em Portugal.

O Grupo DATA está à procura de um/a Analista de Indicadores Pleno para integrar a sua equipa em Lisboa, em regime híbrido, com presença no escritório 3 vezes por semana.

O Grupo DATA desenvolve soluções de IT inovadoras para clientes em diferentes mercados, apostando num ambiente colaborativo, dinâmico e orientado para o crescimento das suas equipas.

Responsabilidades:

• Analisar diariamente indicadores por ATM, incluindo capacidade e consumo de cash permanente ou temporário;
• Gerar diariamente ordens de abastecimento de acordo com as necessidades de consumo;
• Elaborar relatórios de performance;
• Analisar faturas de fornecedores, validando-as face às ordens solicitadas e outros elementos relevantes;
• Elaborar conteúdos, apresentações, documentos e relatórios para clientes externos e internos;
• Participar em reuniões de equipa.

Requisitos:

• Licenciatura em Informática, Informática de Gestão, Estatística, Matemática, Gestão, Economia ou área relacionada;
• Experiência em análise estatística de indicadores e identificação de tendências ou padrões;
• Sólidos conhecimentos de Microsoft Office, nomeadamente Excel e Access;
• Conhecimentos de bases de dados relacionais, incluindo SQL Server e T-SQL;
• Boa capacidade analítica, organização e atenção ao detalhe;
• Disponibilidade para trabalhar em regime híbrido em Lisboa, com 3 dias por semana no escritório.

Será valorizado:

• Mestrado numa das áreas indicadas;
• Conhecimentos de linguagens de programação, como VBA;
• Conhecimentos de sistemas de informação e métodos de integração entre sistemas;
• Experiência no setor de gestão de cash, nomeadamente como gestor operacional de cash em Empresas de Transporte de Valores, ETV, ou em funções semelhantes em bancos junto das ETV.

A Inetum está à procura de um/a Data Engineer de nível mid-level para integrar a sua equipa em Ermesinde. A função envolve o desenho, otimização e manutenção de pipelines de dados complexas, garantindo a escalabilidade das soluções e a integração de modelos de Data Science em produção.

A Inetum é uma empresa europeia de serviços digitais que apoia organizações nos seus processos de transformação tecnológica, através de áreas como consultoria, serviços aplicacionais, engenharia digital, cloud, cibersegurança, plataformas e serviços de infraestrutura.

Responsabilidades:

• Desenhar, otimizar e manter pipelines de dados complexas;
• Garantir a escalabilidade, robustez e manutenção das soluções de dados;
• Trabalhar com grandes volumes de dados, otimizando desempenho e eficiência;
• Desenvolver pipelines de ingestão de dados através de APIs REST;
• Aplicar boas práticas de engenharia de software e DevOps;
• Apoiar o deployment, monitorização e produtização de pipelines de Machine Learning;
• Integrar modelos de Data Science em ambientes de produção.

Requisitos:

• Experiência comprovada de pelo menos 3 anos em Engenharia de Dados;
• Proficiência avançada em Python e SQL;
• Capacidade para conceber soluções robustas, escaláveis e de fácil manutenção;
• Experiência com bibliotecas de processamento de dados em memória, como Polars ou equivalentes;
• Experiência com soluções de processamento distribuído, nomeadamente PySpark;
• Experiência no desenvolvimento de pipelines de ingestão de dados através de APIs REST;
• Domínio de boas práticas de desenvolvimento, incluindo controlo de versões com Git;
• Conhecimentos de automação de CI/CD e testes de software;
• Experiência com deployment, monitorização e produtização de pipelines de Machine Learning;
• Disponibilidade para viajar dentro de Portugal;
• Disponibilidade para viajar para o estrangeiro, sempre que necessário.

Será valorizado:

• Experiência em plataformas de dados modernas, como Databricks;
• Experiência na gestão e agendamento de workflows com ferramentas de orquestração, como Apache Airflow;
• Conhecimentos e experiência em arquiteturas cloud, como AWS, Azure ou GCP.

A Continental está à procura de um/a ML Ops Engineer para integrar a área de Digital Solutions, em Lousado. A função terá foco na transformação de modelos de machine learning em soluções escaláveis, robustas e prontas para ambientes de produção.

A Continental é uma empresa líder no fabrico de pneus e no desenvolvimento de soluções sustentáveis, seguras e convenientes para fabricantes automóveis, clientes industriais e consumidores finais. Fundada em 1871, a empresa está presente em 54 países e mercados.

Responsabilidades:

• Desenhar e gerir pipelines de CI/CD para modelos de machine learning, desde o desenvolvimento até à produção;
• Criar e manter infraestrutura escalável de ML em plataformas cloud, utilizando práticas de infrastructure-as-code;
• Automatizar processos de deployment, monitorização e rollback, garantindo fiabilidade e reprodutibilidade;
• Implementar monitorização e ciclos de feedback para acompanhar a performance dos modelos e promover melhoria contínua;
• Colaborar com data scientists, data engineers e equipas multidisciplinares na integração de modelos de ML e normalização de workflows.

Requisitos:

• Formação superior em Ciência, Engenharia, Matemática ou área relacionada;
• Mais de 2 anos de experiência profissional como ML Ops Engineer;
• Fortes competências de programação em Python e SQL;
• Conhecimentos práticos de CI/CD e ferramentas de automação, como GitHub Actions;
• Domínio de containerização e orquestração, incluindo Docker e Kubernetes;
• Experiência prática em deployment e gestão do ciclo de vida de modelos de ML, com ferramentas como MLflow ou SageMaker;
• Bons conhecimentos de plataformas cloud, como AWS ou Azure, e práticas de infrastructure-as-code;
• Familiaridade com ferramentas de monitorização e acompanhamento de performance, como Grafana, e orquestração de workflows, como Airflow;
• Sólida compreensão de práticas de software engineering e DevOps, incluindo testes, GitOps e padrões de desenho de CI/CD;
• Experiência com metodologias Agile de gestão de projetos, como Scrum ou Kanban;
• Perfil fiável, colaborativo e com estilo de trabalho estruturado e autónomo;
• Proficiência em inglês, falado e escrito.

Oferta:

• Integração num ambiente de trabalho internacional e desafiante;
• Modelo de trabalho flexível;
• Estilo de trabalho Agile e colaborativo;
• Oportunidades contínuas de desenvolvimento pessoal e aprendizagem.

Diversidade e inclusão:

A Continental está comprometida em promover um local de trabalho onde todas as pessoas se sintam seguras, respeitadas e valorizadas. Todas as candidaturas são bem-vindas.