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- Tasks: Design and develop Real-Time Data Processing applications using cutting-edge technologies.
- Company: Join a world-class iGaming operator with a fun, collaborative culture.
- Benefits: Flexible hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Make an impact in the exciting world of online gaming while working with innovative tech.
- Qualifications: Strong knowledge of Scala and experience with streaming frameworks like Spark and Kafka.
The predicted salary is between 60000 - 80000 £ per year.
At RemoteStar, we are hiring for a client who is a world-class iGaming operator offering various online gaming products across multiple markets through proprietary gaming sites and partner brands. Their iGaming platform supports over 25 online brands and is used by hundreds of thousands of users worldwide. The company embraces a Hybrid work-from-home model, with the flexibility of working three days in the office and two days from home.
You will contribute to designing and developing Real-Time Data Processing applications to meet business needs. This environment offers an excellent opportunity for technical data professionals to build a consolidated Data Platform with innovative features while working with a talented and fun team.
Responsibilities include:
- Development and maintenance of Real-Time Data Processing applications using frameworks like Spark Streaming, Spark Structured Streaming, Kafka Streams, and Kafka Connect.
- Manipulation of streaming data, including ingestion, transformation, and aggregation.
- Researching and developing new technologies and techniques to enhance applications.
- Collaborating with Data DevOps, Data Streams teams, and other disciplines.
- Working in an Agile environment following SDLC processes.
- Managing change and release processes.
- Troubleshooting and incident management with an investigative mindset.
- Owning projects and tasks, and working effectively within a team.
- Documenting processes and sharing knowledge with the team.
Preferred skills:
- Strong knowledge of Scala.
- Familiarity with distributed computing frameworks such as Spark, KStreams, Kafka.
- Experience with Kafka and streaming frameworks.
- Understanding of monolithic vs. microservice architectures.
- Familiarity with Apache ecosystem including Hadoop modules (HDFS, YARN, HBase, Hive, Spark) and Apache NiFi.
- Experience with containerization and orchestration tools like Docker and Kubernetes.
- Knowledge of time-series or analytics databases such as Elasticsearch.
- Experience with AWS services like S3, EC2, EMR, Redshift.
- Familiarity with data monitoring and visualization tools such as Prometheus and Grafana.
- Experience with version control tools like Git.
- Understanding of Data Warehouse and ETL concepts; familiarity with Snowflake is a plus.
- Strong analytical and problem-solving skills.
- Good learning mindset and ability to prioritize tasks effectively.
Data Engineer (Real Time) (Remote) in England employer: RemoteStar
Contact Detail:
RemoteStar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Real Time) (Remote) in England
✨Tip Number 1
Network like a pro! Reach out to people in the iGaming industry, especially those working at RemoteStar or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to Real-Time Data Processing. This is your chance to demonstrate your expertise with tools like Spark and Kafka in a way that a CV simply can't.
✨Tip Number 3
Prepare for the interview by brushing up on Agile methodologies and the SDLC processes. Be ready to discuss how you've tackled challenges in past projects, especially around troubleshooting and incident management.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Engineer (Real Time) (Remote) in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with real-time data processing, frameworks like Spark and Kafka, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention any specific technologies or methodologies from the job description that you’re familiar with.
Show Off Your Projects: If you've worked on any cool projects related to data processing or streaming, don’t hesitate to include them! We love seeing practical examples of your work, especially if they demonstrate your problem-solving skills and innovative thinking.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at RemoteStar
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Scala, Spark, and Kafka. Brush up on your knowledge of real-time data processing frameworks and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in data engineering. Think about times when you had to troubleshoot issues or optimise processes, and be ready to explain your thought process and the outcomes.
✨Understand Agile Methodologies
Since the role involves working in an Agile environment, be prepared to discuss your experience with Agile practices. Highlight any relevant projects where you’ve collaborated with cross-functional teams and how you adapted to changing requirements.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data platform, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.