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- Tasks: Build, optimise, and maintain data applications and systems in a fast-paced environment.
- Company: BJSS is a leading tech consultancy focused on delivering modern data platforms for large organisations.
- Benefits: Enjoy flexible benefits, industry-leading health plans, hybrid working, and discounts on various brands.
- Why this job: Join a dynamic team, work with cutting-edge technologies, and make a real impact in the tech world.
- Qualifications: Experience in Python, CI/CD tooling, and cloud data services is essential; coding best practices are a must.
- Other info: Participate in a vibrant social calendar and contribute to initiatives promoting diversity in tech.
The predicted salary is between 28800 - 48000 £ per year.
About the Role
BJSS data engineers are specialist software engineers that build, optimise and maintain data applications, systems and services. This role combines the discipline of software engineering with the knowledge and experience of building data solutions in order to deliver business value.
As a BJSS data engineer you’ll help our clients deploy data pipelines and processes in a production-safe manner, using the latest technologies and with a DataOps culture.
You’ll work in a fast moving, agile environment, within multi-disciplinary teams of highly skilled consultants, delivering modern data platforms into large organisations.
You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc.
About You
Some of the Perks
Data Engineer employer: BJSS
Contact Detail:
BJSS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as AWS, Azure, and GCP. Having hands-on experience or projects showcasing your skills with these platforms can set you apart from other candidates.
✨Tip Number 2
Engage with the DataOps culture by understanding its principles and practices. Demonstrating your knowledge of CI/CD tooling and how it applies to data engineering will show that you're aligned with BJSS's approach to delivering data solutions.
✨Tip Number 3
Network with current or former BJSS employees on platforms like LinkedIn. This can provide you with insider insights about the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 4
Prepare to discuss your experience with parallel computing and complex queries. Be ready to share specific examples of how you've optimised data processing tasks in previous roles, as this is a key aspect of the position.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with technologies mentioned in the job description like Python, AWS, Azure, and CI/CD tooling. Use specific examples to demonstrate your skills.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of BJSS's DataOps culture. Mention how your background aligns with their needs and express your enthusiasm for contributing to their projects.
Showcase Relevant Projects: Include any personal or professional projects that demonstrate your ability to build and optimise data applications. Highlight your experience with data pipelines, cloud services, and parallel computing to make your application stand out.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in data engineering roles.
How to prepare for a job interview at BJSS
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data applications and systems. Highlight specific projects where you've built or optimised data pipelines, and be ready to explain the technologies you used, such as AWS, Azure, or GCP.
✨Demonstrate Your Coding Knowledge
Since the role requires strong coding skills, brush up on your Python knowledge, especially object-oriented programming. Be ready to discuss coding best practices, design patterns, and how you've implemented CI/CD tooling in your previous work.
✨Understand DataOps Culture
Familiarise yourself with DataOps principles and how they apply to data engineering. Be prepared to discuss how you can contribute to a production-safe environment and ensure the reliability of data processes.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Think about challenges you've encountered in data processing or application deployment, and how you overcame them using parallel computing or complex queries.
