At a Glance
- Tasks: Design and maintain real-time data pipelines using Kafka and Confluent components.
- Company: Join a leading tech firm with a focus on innovative data solutions.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and innovation.
- Why this job: Be at the forefront of data streaming technology and make a significant impact.
- Qualifications: 5+ years in Apache Kafka, strong coding skills in Java, Python, or Scala.
The predicted salary is between 60000 - 80000 £ per year.
Your role: As a Confluent Consulting Engineer, you will be responsible for designing, developing, and maintaining scalable real-time data pipelines and integrations using Kafka and Confluent components. You will collaborate with data engineers, architects, and DevOps teams to deliver robust streaming solutions.
Required:
- 5+ years of hands-on experience with Apache Kafka (any distribution: open-source, Confluent, Cloudera, AWS MSK, etc.)
- Strong proficiency in Java, Python, or Scala
- Solid understanding of event-driven architecture and data streaming patterns
- Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure
- Familiarity with Docker, Kubernetes, and CI/CD pipelines
- Excellent problem-solving and communication abilities
Preferred: Candidates with experience in Confluent Kafka and its ecosystem will be given preference:
- Experience with Kafka Connect, Kafka Streams, KSQL, Schema Registry, REST Proxy, Confluent Control Center
- Hands-on with Confluent Cloud services, including ksqlDB Cloud and Apache Flink
- Familiarity with Stream Governance, Data Lineage, Stream Catalog, Audit Logs, RBAC
- Confluent certifications (Developer, Administrator, or Flink Developer)
- Experience with Confluent Platform, Confluent Cloud managed services, multi-cloud deployments, and Confluent for Kubernetes
- Knowledge of data mesh architectures, KRaft migration, and modern event streaming patterns
- Exposure to monitoring tools (Prometheus, Grafana, Splunk)
- Experience with data lakes, data warehouses, or big data ecosystems
Personal: Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include:
- High analytical skills
- A high degree of initiative and flexibility
- High customer orientation
- High quality awareness
- Excellent verbal and written communication skills
Remote Confluent Kafka Engineer in Livingston employer: N Consulting Ltd
As a Remote Confluent Kafka Engineer, you will join a forward-thinking company that values innovation and collaboration in the fast-paced world of data streaming. Our inclusive work culture fosters continuous learning and professional growth, offering employees access to cutting-edge technologies and the opportunity to work alongside industry experts. Enjoy the flexibility of remote work while being part of a dynamic team dedicated to delivering impactful solutions in the UK market.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Confluent Kafka Engineer in Livingston
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Remote Confluent Kafka Engineer in Livingston
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at N Consulting Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at N Consulting Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at N Consulting Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at N Consulting Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
