Senior Data Engineer

Job Description
Are you a data expert with a passion for building scalable data solutions? As a Senior Data Engineer at Stefanini, you will design, develop, and optimize modern data architectures, enabling advanced analytics and business intelligence capabilities. You'll work with cutting-edge technologies, including Databricks, Microsoft Fabric, Azure Synapse, and Azure Data Factory, while collaborating with cross-functional teams to deliver high-performance data solutions that drive business success.

Key Responsibilities

• Data Architecture & Engineering: Design, build, and maintain robust data pipelines and architectures using Databricks, Microsoft Fabric, Azure Synapse, and Azure Data Factory.
• Data Integration & ETL: Develop scalable ETL/ELT processes to extract, transform, and load data from various sources into cloud-based data platforms.
• Performance Optimization: Optimize data models, queries, and storage strategies for high-performance analytics and reporting.
• Big Data Processing: Work with large-scale datasets and distributed computing frameworks to support advanced analytics, machine learning, and business intelligence.
• Cloud Data Solutions: Design and implement data solutions leveraging cloud services, ensuring security, scalability, and cost-efficiency.
• Collaboration & Stakeholder Engagement: Partner with business analysts, data scientists, and BI teams to understand data needs and deliver efficient, scalable solutions.
• Data Governance & Security: Implement best practices for data governance, quality, lineage, and compliance with industry standards.
• Automation & CI/CD: Utilize DevOps principles to automate data workflows, testing, and deployment using CI/CD pipelines.
• Documentation & Maintenance: Maintain clear documentation of data pipelines, architecture, and processes for transparency and knowledge sharing.

Job Requirements

Required Skills & Experience

• Education: Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related field.
• Experience: 5+ years of hands-on experience in data engineering, working with large-scale data processing and analytics.

Technical Proficiency:

• Expertise in Databricks, Microsoft Fabric, Azure Synapse, and Azure Data Factory for data engineering and analytics workloads.
• Strong skills in SQL for data modeling, querying, and performance tuning.
• Experience with Python or Scala for data processing and automation.
• Proficiency in ETL/ELT pipeline development and data integration across cloud platforms.
• Strong knowledge of data modeling, warehousing, and optimization techniques.
• Cloud Expertise: Proven experience with Azure cloud services and modern data architectures.
• Data Governance & Security: Understanding of best practices in data governance, security, compliance, and lineage tracking.

Nice to have:

• Big Data & Distributed Computing: Familiarity with Spark, Delta Lake, and Parquet for large-scale data processing.
• DevOps & Automation: Experience in CI/CD for data engineering, using tools like Terraform, Git, and Azure DevOps.
• Additional Tools: Knowledge of SAP BI, SAP Business Warehouse, and integration with cloud-based data platforms is a plus.
• Machine Learning & AI: Experience supporting machine learning workflows and feature engineering pipelines.
• Streaming Data & IoT: Familiarity with Kafka, Event Hubs, or real-time data processing is advantageous.
• API & Integration: Experience with REST APIs, GraphQL, and data API development is a plus.

Why Join Us?

• Work with cutting-edge data technologies to shape modern data solutions.
• Collaborate with a team of data-driven professionals on impactful projects.
• Gain exposure to AI, machine learning, and advanced analytics use cases.
• Enjoy a flexible, innovative, and growth-oriented work environment.
• Competitive salary, benefits, and continuous learning opportunities.

The preceding job description had been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties and responsibilities required of employees assigned to this job.

What we offer

You will find here not only a challenging and interesting workplace, but also a rewarding work experience, with competitive compensation and benefit packages:

• Career development: opportunity to grow within the team;
• Special referral bonuses for recommending your friends;
• Private Medical subscription;
• A monthly budget for flexible benefits program;
• Flexible working hours and work from home, aligned with project needs;
• Friendly team who is eager to meet you.

What's next

It's best to apply today, because job postings can be taken down and we wouldn't want you to miss this opportunity. In case you need further information, just send us a message at recruitmentEMEA@stefanini.com and we'll be happy to assist!

Diversity & inclusion

Here at the Stefanini Group, we value plurality and equity, regardless of race, sexual orientation, disability, age, ancestry, religion, gender, and nationality. We understand and encourage the importance of being you!

About us

We are a Brazilian company with over 35 years of experience in delivering IT services worldwide, ranging from IT outsourcing to application development or IT staffing. We have a direct presence in 41 countries, through our 70 offices located throughout the world. We have managed to become the preferred partner of many small-to-midsize local and regional companies as well. Most of our clients come from industries such as financial services, manufacturing, telecommunications, chemical, services, technology, public sector and utilities.

Stefanini has career opportunities locally and around the world for professionals interested in a vibrant, passionate, team-oriented workplace. If you are a customer-centric person with a "get it done" attitude, come over for coffee and a talk on your future career with us!

Learn more about us on www.stefanini.com and join us on LinkedIn, Facebook and Instagram where we regularly post insights from our colleagues.