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- Tasks: Build and manage ETL pipelines, support CI/CD, and integrate ML outputs.
- Company: Join a fast-growing software house creating a SaaS Data Platform for diverse industries.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for career progression.
- Why this job: Work with cutting-edge technology and make an impact across various sectors.
- Qualifications: 1st Class STEM degree and 1-2 years of Data Engineering experience required.
- Other info: Short technical exercise and two-stage interview process to showcase your skills.
The predicted salary is between 40000 - 50000 £ per year.
Avanti Recruitment is working with a rapidly growing software house who makes a SaaS based Data Platform for their customers. They are looking for a bright Junior Data Engineer with 1-2 years Data Engineering experience and holds a 1st Class STEM degree from a top university to help build, run, and optimise the data pipelines for their platform products. They transform complex data into actionable intelligence for clients across Finance, Retail, Travel, Telco, and Healthcare sectors.
About the role:
- Build and manage structured ETL pipelines across staging, operational, and analytical data layers
- Apply consistent naming, schema controls, and field-level lineage
- Support CI/CD using Git-based workflows and automation tools
- Help integrate ML outputs into core data layers
- Monitor data processes and implement alerting systems
Technology stack:
- Cloud Platforms: Azure (primary), AWS, GCP, Databricks
- Data Tools: SQL (essential), Python, versioned metadata frameworks
- DevOps: Git, CI/CD pipelines, automated deployment
What they’re looking for:
- First-class STEM degree from a prestigious university
- 1-2 years in a Data Engineering role
- Strong SQL and Python skills (Both will be assessed as part of the interview process)
- Experience with cloud computing platforms
- Ability to optimize code for large-scale, high-volume datasets
Company highlights:
- Joining a team of 5 which is expanding rapidly with 4 more hires.
- Their software is deployed with customers in the UK, Germany, France, and Ireland
Career progression:
- Exposure to multiple cloud technologies and platforms
- Work with a variety of clients across different industries
- Great opportunities for career progression
Interview process:
- Short SQL technical exercise to complete at home
- Two stage technical interview process.
SALARY: £40,000 - £50,000 + benefits
Location: Central London – Hybrid working - 2 days in the London office
Duration: Permanent
N.B. They do not offer visa sponsorship and won’t consider those on short term visas.
Bright Data Engineer Needed | London - 1st Class STEM Degree employer: Avanti Recruitment
Contact Detail:
Avanti Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bright Data Engineer Needed | London - 1st Class STEM Degree
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, especially Azure, SQL, and Python. Having hands-on experience or projects that showcase your skills in these areas will give you a significant edge during the interview process.
✨Tip Number 2
Prepare for the technical exercise by practising SQL queries and Python coding challenges. Websites like LeetCode or HackerRank can be great resources to sharpen your skills and get comfortable with the types of problems you might face.
✨Tip Number 3
Research the company and its SaaS data platform thoroughly. Understanding their products and the industries they serve will help you tailor your responses and demonstrate your genuine interest during the interviews.
✨Tip Number 4
Network with current or former employees on platforms like LinkedIn. They can provide valuable insights into the company culture and interview process, which can help you prepare more effectively and make a positive impression.
We think you need these skills to ace Bright Data Engineer Needed | London - 1st Class STEM Degree
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 1st Class STEM degree and any relevant Data Engineering experience. Emphasise your skills in SQL and Python, as these are essential for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the SaaS industry. Mention specific projects or experiences that demonstrate your ability to build and manage ETL pipelines.
Showcase Relevant Skills: In your application, clearly outline your experience with cloud platforms like Azure, AWS, or GCP. Highlight any familiarity with CI/CD processes and automation tools, as these are key components of the job.
Prepare for Technical Assessments: Since the interview process includes a SQL technical exercise, brush up on your SQL skills. Practice common SQL queries and data manipulation tasks to ensure you're ready to impress during the assessment.
How to prepare for a job interview at Avanti Recruitment
✨Brush Up on SQL and Python
Since strong SQL and Python skills are essential for this role, make sure to review key concepts and practice coding problems. Familiarise yourself with common SQL queries and Python data manipulation techniques, as these will likely be assessed during the interview.
✨Understand ETL Processes
As the role involves building and managing ETL pipelines, it's crucial to have a solid understanding of ETL processes. Be prepared to discuss your experience with data extraction, transformation, and loading, and how you've optimised these processes in previous roles.
✨Familiarise Yourself with Cloud Platforms
The company uses Azure primarily, along with AWS and GCP. Make sure you understand the basics of these cloud platforms and how they relate to data engineering. Being able to discuss your experience with cloud technologies will demonstrate your readiness for the role.
✨Prepare for Technical Exercises
You'll need to complete a short SQL technical exercise at home, so practice similar exercises beforehand. This will help you feel more confident and ensure you can showcase your skills effectively during the interview process.
