Data Engineer

About Us
At SILVARE, we’re a dynamic team achieving remarkable results. We’ve built a reputation for delivering fast, impactful results that keep our clients coming back, many of whom are some of the biggest names in tech.

What Μakes Us Different
We’re easy to talk to, we get straight to the point and we’re all about making things happen. We’re proud of the strong relationships we build, both with our team and our clients. We believe in keeping our people happy, whether it’s through improving benefits, having open conversations about their projects or just being there when they need us. It’s a supportive environment and culture that helps both us and our people thrive. If you’re ready to work on exciting projects, grow alongside industry leaders and make a real impact, we’d love to have you join us at SILVARE.

Role Overview

We are looking for a Data Engineer to join our team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support analytics and business intelligence. You will work closely with data analysts, data scientists, and IT teams to ensure reliable, high-quality data for strategic decision-making.

What You’ll Be Doing

• Design, develop, and maintain data pipelines and ETL processes to ingest, transform, and store data from multiple sources.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver appropriate solutions.
• Ensure data quality, consistency, and integrity across all systems.
• Implement and optimize database architectures and data storage solutions (SQL/NoSQL, cloud storage).
• Monitor, troubleshoot, and optimize data pipelines and workflows for performance and scalability.
• Stay up to date with emerging data engineering technologies, frameworks, and best practices.
  
  

What You’ll Bring

• 3+ years of experience in data engineering or related roles.
• Strong proficiency in SQL and programming languages such as Python, Java, or Scala.
• Hands-on experience with ETL frameworks and data pipeline tools (e.g., Apache Airflow, Talend, Informatica).
• Experience with cloud platforms (AWS, Azure, GCP) and their data services.
• Solid understanding of data modeling, warehousing, and big data technologies (e.g., Hadoop, Spark).
• Bachelor’s degree in Computer Science, Information Systems, or a related field.
  
  

Nice to Haves

• Experience with real-time streaming data technologies (e.g., Kafka, Kinesis).
• Familiarity with BI and analytics tools such as Tableau, Power BI, or Looker.
• Knowledge of data governance, security, and compliance standards.
  
  

How We Support Your Growth

🍽️ Lunch Is On Us: Monthly allowance for your favorite meals.
🏥 Health First: Private health & life insurance for peace of mind.
💻 Set Up For Success: The right tools to stay connected and perform your best.
📚 Curiosity Never Retires: Access to Udemy for unlimited learning.
🚀 Career Rocket Fuel: Coaching and mentorship programs tailored to your goals.
🎯 Work With The Best: Collaborate with industry-leading clients.
🌈 Celebrate Diversity: Be part of a team that values every perspective.
💸Performance Pays Off: Annual discretionary bonus based on yearly contributions.
🌱 Social Responsibility: Give back through volunteering and sustainability.

Excited to Make an Impact? Apply today and be part of what we’re building together 🙂

At SILVARE, we are committed to diversity, equity, and inclusion in all aspects of our workplace. We welcome applicants from all backgrounds and do not discriminate based on race, gender, religion, sexual orientation, age, disability, or any other characteristic protected by law.