WHO WE ARE LOOKING FOR:

Are you passionate about solving complex data challenges and developing innovative cloud-based data solutions? Do you enjoy applying logical thinking to technical problems, and take satisfaction in seeing your solutions make a tangible impact?
We are seeking a Junior Data Engineer who is eager to learn, grow, and contribute to the way we move, store, and process data within our Corporate Risk and Broking (CRB) business. Whether you have experience with cloud platforms such as Azure, Google Cloud, or AWS, or you’re just starting out, what matters most is your curiosity, motivation, and willingness to learn.
If you’re someone who thrives in a fast-paced, collaborative environment, and you’re keen to develop your skills in modern data engineering practices, we’d love to hear from you.

THE REQUIREMENTS:

• 1+ years of experience in Data Engineering, with competency in Cloud Data Tools.
• Solid programming skills in a language like C# or Python.
• Understanding of data warehousing, modeling, and basic data architecture either through experience or education
• Strong problem-solving skills and a knack for debugging tricky data issues.
• Excitement of working with data and the business outcomes from data.
• Massive curiosity of how things work and are built.
• Great communication skills and a team-player attitude.

WHY YOU’LL LOVE WORKING HERE

• Work with the latest cloud and AI technologies, always stay ahead of the game.
• Mentoring and coaching through your journey will be all around you due to the many team members you will interact with
• Be part of a collaborative and forward-thinking team that values your ideas.
• Competitive salary, benefits, and plenty of opportunities to grow your career.
• A flexible, modern work environment designed for how people work today.
  We’re not just looking for someone to check off the skills list, we want a problem solver, an innovator, and someone who loves working with data.

• Designing, building, and optimizing data pipelines using Azure Synapse, Azure Data Factory, and Azure Fabric.
• Writing and fine-tuning PySpark notebooks to handle massive data workloads efficiently.
• Troubleshooting and enhancing ETL/ELT workflows in Azure Synapse.
• Managing and organizing Data Lakes to ensure seamless data access and performance.
• Integrating AI/LLM models into data pipelines to drive innovation and insights.
• Collaborating with Data Scientists, AI Engineers, Data Analysts, and Business domain experts to create powerful data-driven solutions.
• Participating and assisting with data security, governance, and compliance within our Azure ecosystem.
• Staying ahead of the curve with emerging cloud, AI, and big data technologies.