About the Role:
As a Data Engineer in the Data team you will take on big data challenges in an agile way. You will build data pipelines that enable data analysts, data scientists, operation teams and stakeholders across the wider business to make data accessible to the entire company. You are encouraged to think out of the box and utilize the latest technologies. Successful candidates must demonstrate strong technical capabilities, a can-do attitude and the flexibility to work seamlessly with stakeholders and team members located across different international time zones.
What You Will Do:
- Design, construct, and deploy highly efficient and reliable data pipelines that seamlessly transfer data across various platforms, including Data Warehouses and real-time systems.
- Develop deep expertise in these data pipelines and manage their Service Level Agreements (SLAs) to ensure optimal performance.
- Optimize data ingestion, transformation, and storage for performance, reliability and scalability.
- Collaborate with Data Analysts, Data Scientists and business stakeholders to create internal data products aimed at boosting operational efficiencies across the organization.
- Implement data quality, observability and governance best practices.
We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform.
Come As You Are
Belonging isn’t a perk here. It’s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what’s possible.
What You Will Bring:
- Up to 5 years of experience including internship within a technology company.
- Bachelors or Masters degree in Computer Science, Information Technology or a related field.
- Competent in SQL and Python. Can implement advanced data manipulation and build highly reliable data ingestion pipelines from scratch.
- Proven ability & demonstrated flexibility to collaborate effectively with distributed teams and stakeholders across global time zones.
- Exposure to cloud computing platforms (AWS, GCP, or Azure) and infrastructure as code.
- Communicate clearly, especially to technical audience effectively, both verbally and in writing
- The ability to adapt to new situations and learn quickly is valuable in a fast-paced work environment.
- Able to collaborate and work well with others can contribute to a positive work environment.
- Can manage their time effectively and prioritize tasks is more likely to be productive and efficient.
