Data Engineer (Real Time) (Remote)
Data Engineer (Real Time) (Remote)

Data Engineer (Real Time) (Remote)

Full-Time 48000 - 84000 Β£ / year (est.) No home office possible
J

At a Glance

  • Tasks: Design and develop Real-Time Data Processing applications using cutting-edge technologies.
  • Company: Join RemoteStar, a leading iGaming operator with a global reach and innovative gaming products.
  • Benefits: Enjoy a hybrid work model, flexible hours, and a fun, collaborative team environment.
  • Why this job: Be part of an exciting industry, enhance your skills, and make a real impact in data engineering.
  • Qualifications: Strong knowledge of Scala and experience with streaming frameworks like Spark and Kafka required.
  • Other info: Work in an Agile environment and collaborate with talented professionals across various disciplines.

The predicted salary is between 48000 - 84000 Β£ per year.

DATA ENGINEER (Real Time)About client: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.About the Data Engineer role: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. #J-18808-Ljbffr

Data Engineer (Real Time) (Remote) employer: JobLeads GmbH

RemoteStar is an exceptional employer that champions a hybrid work model, allowing Data Engineers to enjoy the flexibility of working from home while also fostering collaboration in the office. With a vibrant work culture that prioritises innovation and teamwork, employees are encouraged to grow their skills through hands-on experience with cutting-edge technologies in the iGaming sector. The company not only values technical expertise but also promotes a fun and supportive environment, making it an ideal place for professionals seeking meaningful and rewarding careers.
J

Contact Detail:

JobLeads GmbH Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Data Engineer (Real Time) (Remote)

✨Tip Number 1

Familiarise yourself with the specific technologies mentioned in the job description, such as Spark Streaming and Kafka. Consider building a small project or contributing to open-source projects that utilise these frameworks to demonstrate your hands-on experience.

✨Tip Number 2

Engage with online communities or forums related to data engineering and real-time processing. Networking with professionals in the field can provide insights into the role and may even lead to referrals or recommendations.

✨Tip Number 3

Showcase your problem-solving skills by preparing for technical interviews. Practice common data engineering scenarios and be ready to discuss how you would approach troubleshooting and incident management in a real-time environment.

✨Tip Number 4

Research RemoteStar and their client’s iGaming platform to understand their business model and challenges. Tailoring your discussions during interviews to reflect your understanding of their needs can set you apart from other candidates.

We think you need these skills to ace Data Engineer (Real Time) (Remote)

Real-Time Data Processing
Spark Streaming
Spark Structured Streaming
Kafka Streams
Kafka Connect
Data Manipulation
Agile Methodologies
SDLC Processes
Troubleshooting Skills
Scala Programming
Distributed Computing Frameworks
Apache Hadoop Ecosystem
Containerization
Docker
Kubernetes
Time-Series Databases
Elasticsearch
AWS Services (S3, EC2, EMR, Redshift)
Data Monitoring Tools (Prometheus, Grafana)
Version Control (Git)
Data Warehouse Concepts
ETL Processes
Analytical Skills
Problem-Solving Skills
Learning Mindset
Task Prioritisation

Some tips for your application 🫑

Understand the Role: Before applying, make sure you fully understand the responsibilities and preferred skills for the Data Engineer position. Tailor your application to highlight your relevant experience with real-time data processing and the technologies mentioned.

Craft a Tailored CV: Your CV should reflect your expertise in Scala, Spark, Kafka, and other relevant technologies. Use specific examples from your past work that demonstrate your ability to develop and maintain real-time data applications.

Write a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with their needs and provide insights into your problem-solving abilities and collaborative mindset.

Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail and professionalism, which are crucial in a technical role.

How to prepare for a job interview at JobLeads GmbH

✨Showcase Your Technical Skills

Be prepared to discuss your experience with Scala, Spark, and Kafka in detail. Highlight specific projects where you've used these technologies, and be ready to explain your thought process and problem-solving approach.

✨Demonstrate Your Agile Experience

Since the role involves working in an Agile environment, share examples of how you've successfully collaborated within a team using Agile methodologies. Discuss any specific roles you’ve played in sprints or retrospectives.

✨Prepare for Problem-Solving Questions

Expect to face technical challenges during the interview. Brush up on your troubleshooting skills and be ready to walk through your thought process when solving data-related issues, especially in real-time processing.

✨Ask Insightful Questions

Prepare thoughtful questions about the company's data architecture, the tools they use, and their approach to innovation. This shows your genuine interest in the role and helps you assess if it's the right fit for you.

Data Engineer (Real Time) (Remote)
JobLeads GmbH
J
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>