Senior Azure Data Engineer/ Analyst

Jobgether SRL; Brasil; Presencial; BRL 180 000 - 280 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health and dental insurance

Meal and food allowance

Childcare assistance and extended Par.

Profit sharing (PLR)

Life insurance coverage

Access to CI&T University

Wellness and fitness partnerships (Way

Mental and well-being programs

Language learning platforms

Resumo da oferta

Jobgether SRL in Brazil is seeking a Senior Azure Data Engineer/Analyst to drive a data modernization initiative within logistics. You will design Azure-based pipelines while delivering BI outputs for decision-making across teams.

This senior role emphasizes cloud-native architecture, cross-functional collaboration, and cost-efficient data platforms. You will work with Data Factory, Synapse, Databricks, Power BI, Tableau, and SQL/KQL to turn complex data into actionable insights.

Qualificações

• Strong IT experience with focus on Data Engineering, BI, or Data Analytics.
• Proven ability to design analytical data models and dashboards in Power BI and Tableau.
• Proficient in SQL and Kusto (KQL) for large-scale data processing.
• Experience in Agile/Scrum environments using Jira.
• Advanced English (C1+) with global distributed teams.
• Strong analytical mindset translating datasets into business impact.
• Ability to work independently while collaborating with technical and non-technical stakeholders.
• Experience with ETL tools, data modeling approaches, or Azure PL-300 certification is a plus.
• Familiarity with logistics domain or SAP environments is a strong advantage.

Responsabilidades

• Design, build, and maintain scalable data pipelines using Azure Data Factory, Synapse Analytics, Databricks, and Data Lake.
• Develop and optimize data models and integration across on-premise and cloud environments.
• Build dashboards and reports using Power BI and Tableau for decision making.
• Write and optimize SQL and Kusto queries, and data extraction scripts.
• Ensure data reliability, scalability, performance, and cost efficiency across cloud environments.
• Act as a technical reference for data engineering and analytics teams.
• Collaborate in Agile/Scrum environments, using Jira to manage tasks.
• Support stakeholders in understanding and interpreting data to drive business decisions.

Conhecimentos

Power BI

Tableau

SQL

KQL

Jira

Agile/Scrum

English (C1+)

Formação académica

Azure PL-300 certification

Ferramentas

Azure Data Factory

Synapse Analytics

Databricks

Data Lake

Descrição da oferta de emprego

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AZURE Data Engineer / Analyst based in Brazil.

This role sits at the core of a large-scale data modernization initiative within the logistics sector, focused on transforming complex operational and business data into high-value insights. You will work across both data engineering and analytics domains, building scalable Azure-based pipelines while also delivering meaningful dashboards and analytical outputs for decision‑making. The environment is highly collaborative and distributed, requiring strong autonomy and the ability to act as a technical reference for both business and engineering stakeholders. You will be responsible for designing reliable data architectures that integrate on‑premise and cloud systems while ensuring performance, scalability, and cost efficiency. In parallel, you will translate data into actionable insights through BI tools and advanced analytics. This is a senior‑level role where your expertise will directly influence data strategy, operational intelligence, and business performance. The context is fast‑paced, modern, and strongly oriented toward cloud‑native transformation.

Accountabilities:

• Design, build, and maintain scalable data pipelines and solutions using Azure services such as Data Factory, Synapse Analytics, Databricks, and Data Lake.
• Develop and optimize data models and integration processes across on‑premise and cloud environments.
• Build dashboards and reports using Power BI and Tableau, translating data into actionable business insights and performance indicators.
• Write and optimize complex SQL and Kusto queries, as well as scripts and API‑based data extraction processes.
• Ensure data reliability, scalability, performance, and cost efficiency across cloud environments.
• Act as a technical reference for data engineering and analytics, guiding teams on best practices and data usage.
• Collaborate within Agile/Scrum environments, managing tasks and priorities using tools such as Jira.
• Support stakeholders in understanding and interpreting data to drive business decisions and operational improvements.

Requirements:

• Strong experience in IT, with a focus on Data Engineering, Business Intelligence, or Data Analytics roles.
• Proven ability to design analytical data models and develop dashboards using Power BI and Tableau.
• Strong proficiency in SQL and Kusto Query Language (KQL) for large‑scale data processing.
• Experience working in Agile/Scrum environments using tools such as Jira.
• Advanced English (C1 level or higher), with the ability to communicate effectively in global, distributed teams.
• Strong analytical mindset with the ability to translate complex datasets into business impact.
• Ability to work independently while collaborating across technical and non‑technical stakeholders.
• Experience with ETL tools, data modeling approaches, or cloud certifications (e.g., Azure PL-300) is a plus.
• Familiarity with logistics domain or SAP environments is a strong advantage.
• Health and dental insurance
• Meal and food allowance
• Childcare assistance and extended parental leave
• Profit sharing (PLR)
• Life insurance coverage
• Access to continuous learning platforms and technical training (CI&T University)
• Wellness and fitness partnerships (Wellhub / TotalPass)
• Mental, physical, and well‑being support programs
• Language learning platforms and professional development resources
• Discount programs and additional corporate benefits
• Inclusive work environment with accessibility and support initiatives

How Jobgether works:

We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role’s core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice:

By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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