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For Companies At a Glance
- Tasks: Design and maintain real-time data pipelines using cutting-edge streaming technologies.
- Company: Confluent is a leader in data streaming, helping organisations innovate with continuous data flow.
- Benefits: Enjoy a diverse workplace, opportunities for growth, and the chance to work with advanced tech.
- Why this job: Join a mission-driven team that values creativity and collaboration in a fast-paced environment.
- Qualifications: Degree in Computer Science or related field; strong programming skills in Python, Java, or Scala.
- Other info: Confluent embraces diversity and inclusion, welcoming applicants from all backgrounds.
The predicted salary is between 28800 - 48000 £ per year.
Join to apply for the Associate Data Engineer role at Confluent. At Confluent, organizations harness the power of continuous data flow to innovate and succeed in the digital age. We are pioneering a new category within data infrastructure—data streaming. Our technology enables organizations to create impactful experiences and utilize data in transformative ways. This mission drives us to improve daily.
About The Role
We seek a Data Engineer to help build, optimize, and maintain our real-time data streaming infrastructure. Ideal for someone passionate about distributed systems, stream processing, and data engineering best practices. You will collaborate with experienced engineers to design, develop, and deploy scalable data pipelines supporting critical applications.
What You Will Do
- Design, develop, and maintain real-time data pipelines using Apache Kafka, Flink, and other streaming technologies.
- Work with structured and unstructured data for analytics, monitoring, and event-driven applications.
- Optimize data ingestion, transformation, and storage for performance, reliability, and scalability.
- Collaborate with software engineers, data scientists, and DevOps teams to integrate data solutions into production environments.
- Implement data quality, observability, and governance best practices.
- Troubleshoot and resolve performance issues in streaming applications and distributed systems.
What You Will Bring
- A degree in Computer Science, Data Engineering, Software Engineering, or related fields.
- Strong programming skills in Python, Java, or Scala.
- Familiarity with SQL and NoSQL databases.
- Basic understanding of Kafka, Flink, Spark, or similar stream processing technologies (hands-on experience is a plus).
- Exposure to cloud platforms (AWS, GCP, Azure) and infrastructure as code.
- Interest in distributed systems, data architectures, and real-time analytics.
- Strong problem-solving skills and eagerness to learn in a fast-paced environment.
What Gives You An Edge
- Experience with Apache Kafka.
- Knowledge of batch and streaming data architectures.
- Product mindset to understand business needs and develop scalable engineering solutions.
Come As You Are
Confluent values diversity and inclusion. We are committed to building a global team that reflects a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are based on job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected classes.
Associate Data Engineer employer: Confluent
Contact Detail:
Confluent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Data Engineer
✨Tip Number 1
Familiarise yourself with Apache Kafka and Flink, as these are key technologies for the role. Consider building a small project or contributing to open-source projects that utilise these tools to demonstrate your hands-on experience.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with streaming technologies. Attend meetups or webinars related to data streaming to gain insights and potentially make connections that could help you land the job.
✨Tip Number 3
Showcase your problem-solving skills by preparing for technical interviews. Practice coding challenges that focus on data structures and algorithms, as well as real-time data processing scenarios to impress during the interview.
✨Tip Number 4
Stay updated on the latest trends in data engineering and streaming technologies. Follow relevant blogs, podcasts, or online courses to enhance your knowledge and demonstrate your passion for continuous learning during the interview process.
We think you need these skills to ace Associate Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Associate Data Engineer position. Familiarise yourself with key technologies mentioned in the job description, such as Apache Kafka and Flink.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your programming skills in Python, Java, or Scala, and any hands-on experience with data streaming technologies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of distributed systems. Mention specific projects or experiences that demonstrate your ability to design and maintain data pipelines.
Highlight Your Problem-Solving Skills: In your application, provide examples of how you've tackled challenges in previous roles, particularly in relation to data quality, performance issues, or working with cloud platforms. This will show your readiness for the fast-paced environment at Confluent.
How to prepare for a job interview at Confluent
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills in Python, Java, or Scala. Highlight any hands-on experience you have with Apache Kafka, Flink, or similar technologies, as this will demonstrate your capability to handle the role's technical demands.
✨Understand Data Streaming Concepts
Familiarise yourself with data streaming and distributed systems. Be ready to explain how you would design and optimise real-time data pipelines, as this is a key aspect of the Associate Data Engineer role.
✨Collaborate and Communicate
Since the role involves working with various teams, practice articulating your thoughts clearly. Prepare examples of past collaborations with software engineers, data scientists, or DevOps teams to showcase your teamwork skills.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss specific challenges you've faced in previous projects, particularly related to data quality or performance issues. Show how you approached these problems and what solutions you implemented, as this will highlight your analytical skills.
