Intern Data Engineering

Company Description

IFS is a billion-dollar revenue company with 5000+ employees on all continents. We deliver award-winning enterprise software solutions through the use of embedded digital innovation and a single cloud-based platform to help businesses be their best when it really matters–at the Moment of Service™.
At IFS, we're flexible, we're innovative, and we're focused not only on how we can engage with our customers, but on how we can make a real change and have a worldwide impact. We help solve some of society's greatest challenges, fostering a better future through our agility, collaboration, and trust.
We celebrate diversity and accept that there are so many different perspectives in this world. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.
By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.
We're looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs.
If you want to change the status quo, we'll help you make your moment. Join Team Purple. Join IFS.

Job Description

Are you passionate about data and eager to gain hands-on experience in data engineering? Join IFS as a Data Engineering Intern and work with cutting-edge Azure technologies like Power BI, Microsoft Fabric, Azure Synapse, and Azure Data Lake.

Key Responsibilities:

• Data Pipeline Development: Assist in creating and maintaining ETL data pipelines from diverse sources into our data lake.
• Data Quality Assurance: Collaborate on data validation and quality checks to ensure accurate and reliable data.
• Database Management: Work with relational databases, optimizing data storage and retrieval.
• Technology Exploration: Learn and apply new data engineering tools and frameworks.
• Documentation: Create and update pipeline and workflow documentation.
• Collaboration: Work with cross-functional teams to understand data requirements.
• Performance Optimization: Optimize data pipelines for efficiency and scalability.
• Data Security: Apply data security best practices and privacy regulations.

Qualifications

• Enrolled in a Computer Science, Data Science, or related program.
• Basic understanding of data engineering, ETL, and relational databases.
• Familiarity with SQL & Power BI (DAX and M-Query)
• Strong problem-solving skills.
• Eagerness to learn and adapt.
• Excellent communication and teamwork.
• Attention to detail and commitment to data quality.

What the Role Offers

• Hands-on experience with Microsoft Fabric, Azure Synapse, and more.
• Mentorship from experienced data professionals.
• Exposure to cutting-edge data technologies.
• A collaborative and inclusive work environment.
• Networking opportunities.
• Competitive compensation and potential for full-time employment.

Additional Information

We believe that coming together as a community, in person, is important for innovation, connection and fostering a sense of belonging. Our roles have the right balance of remote and in-office working to enable flexibility for managing your life along with ensuring a real connection with your colleagues and the broader IFS community.