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- Tasks: Join us as a Data Engineer, working on exciting data projects and pipelines.
- Company: Be part of a dynamic team in Birmingham, focused on innovative data solutions.
- Benefits: Enjoy hybrid work options and competitive pay up to £414 per day.
- Why this job: This role offers hands-on experience with cutting-edge technologies in a fast-paced environment.
- Qualifications: Strong DevOps skills and experience with Python, ETL/ELT pipelines, and cloud technologies required.
- Other info: Contract runs until 31/10/2025; ideal for those looking to grow their tech career.
The predicted salary is between 60000 - 84000 £ per year.
Role Title: Data EngineerDuration: contract to run until 31/10/2025Location: Birmingham, HybridRate: up to £414 p/d Umbrella inside IR35Key Skills/ requirementsStrong DevOps engineering backgroundCICD pipelineGit / GithubGithub actions / hooksJenkinsSonarQubeLinux, e.g. RedhatGroovy / Bash / Python scriptsNexusGood understanding of Python library and application developmentDependency management and package management, e.g. Poetry, pipPandas and numpyAPI, e.g. Flask, DashIDE (Pycharm, VsCode) and remote developmentGood understanding of Data engineeringETL / ELT pipelineSparkAirflowSQL / no-SQLDelta lakeParquetAvroPartitioningStarburstS3 bucketPostgresMLFlowExperience in Cloud and ContainerizationGCP / Internal cloudDocker / KubernetesArgo CDMonitoring tooling, e.g. ELKService Mesh, e.g. IstioExperience in secrets management, e.g. VaultGood understanding of networking, security and operating systemTCP/IPDNSSSHSSL/TLSEncryption and tokenizationCPU and memory managementExperience of supporting Big Data infrastructureHadoop clusterSpark clusterJDK/JVMClouderaStrong problem solving and troubleshooting skillsTake ownership and able to work independentlyAble to work under high pressure and in fast-paced environment.Good at documentation and knowledge sharingAble to communicate and work with multi-region / multi-cultural teamsAll profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply! #J-18808-Ljbffr
Data Engineer CGEMJP00304265 employer: JobLeads GmbH
Contact Detail:
JobLeads GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer CGEMJP00304265
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description. Make sure you can confidently discuss your experience with DevOps practices, CI/CD pipelines, and the various programming languages and frameworks listed, such as Python and Groovy.
✨Tip Number 2
Network with current or former employees of StudySmarter or similar companies. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and system design problems relevant to data engineering. Websites like LeetCode or HackerRank can help you sharpen your skills in SQL, ETL processes, and cloud technologies.
✨Tip Number 4
Showcase your problem-solving abilities by preparing examples of past projects where you successfully tackled complex data engineering challenges. Be ready to discuss your thought process and the impact of your solutions on the project outcomes.
We think you need these skills to ace Data Engineer CGEMJP00304265
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with the specific technologies and skills mentioned in the job description, such as DevOps, Python, and data engineering tools like Spark and Airflow.
Craft a Strong Cover Letter: Write a cover letter that not only showcases your technical skills but also demonstrates your problem-solving abilities and experience working in fast-paced environments. Mention any relevant projects or achievements.
Highlight Relevant Experience: In your application, emphasise your experience with cloud services, containerization, and big data infrastructure. Use specific examples to illustrate how you've successfully managed similar tasks in previous roles.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at JobLeads GmbH
✨Showcase Your DevOps Skills
Make sure to highlight your strong DevOps engineering background during the interview. Be prepared to discuss your experience with CI/CD pipelines, Git, and tools like Jenkins and SonarQube, as these are crucial for the role.
✨Demonstrate Your Python Proficiency
Since a good understanding of Python library and application development is essential, be ready to talk about your experience with Python scripts, dependency management, and relevant libraries like Pandas and NumPy. You might even want to prepare a small coding example to showcase your skills.
✨Familiarise Yourself with Data Engineering Concepts
Brush up on your knowledge of ETL/ELT pipelines, Spark, and Airflow. Be prepared to explain how you have implemented these technologies in past projects and how they can benefit the company’s data infrastructure.
✨Prepare for Cloud and Containerisation Questions
Given the emphasis on cloud technologies and containerisation, ensure you can discuss your experience with GCP, Docker, and Kubernetes. Be ready to share specific examples of how you've used these tools to solve problems or improve processes.
