At a Glance
- Tasks: Join a dynamic team to build and optimise data pipelines for a cutting-edge SaaS platform.
- Company: Be part of a rapidly growing software house transforming data into actionable insights across various sectors.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for career progression.
- Why this job: Work with innovative technologies and diverse clients while developing your skills in a supportive environment.
- Qualifications: A first-class STEM degree and 1-2 years in Data Engineering with strong SQL skills are essential.
- Other info: Short technical interview process with a focus on SQL assessment.
Bright Junior Data Engineers required x 2 in London for a SaaS based Data Platform. Avanti Recruitment is working with a rapidly growing software house who makes a SaaS based Data Platform for their customers. They are looking for 2x Junior Data Engineers 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 or Platform role
- Strong SQL skills (SQL assessment is 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.
APPLY TODAY FOR IMMEDIATE CONSIDERATION
Target Salary: £45,000 (applications considered from £40,000 - £50,000) + benefits
Location: Central London – Hybrid working
Duration: Permanent
N.B. They do not offer visa sponsorship and won’t consider those on short term visas.
Bright Junior Data Engineers x 2 | London | SaaS Data Platform employer: Avanti Recruitment
Contact Detail:
Avanti Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bright Junior Data Engineers x 2 | London | SaaS Data Platform
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, especially Azure and SQL. Having hands-on experience or projects that showcase your skills in these areas can really set you apart during the interview.
✨Tip Number 2
Prepare for the SQL technical exercise by practising common SQL queries and data manipulation tasks. You can find online resources and platforms to help you sharpen your skills and get comfortable with the types of questions you might face.
✨Tip Number 3
Research the company and its SaaS Data Platform thoroughly. Understanding their products and the industries they serve will allow you to tailor your responses and demonstrate genuine interest during the interviews.
✨Tip Number 4
Network with current or former employees on platforms like LinkedIn. They can provide insights into the company culture and interview process, which can be invaluable as you prepare for your application and interviews.
We think you need these skills to ace Bright Junior Data Engineers x 2 | London | SaaS Data Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with SQL and cloud platforms like Azure. Emphasise any projects or roles where you've built or managed ETL pipelines.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the SaaS model. Mention specific technologies from the job description that you are familiar with, such as Git and CI/CD processes.
Prepare for the SQL Assessment: Since a SQL assessment is part of the interview process, brush up on your SQL skills. Practice writing queries and optimising them for performance, as this will be crucial for your application.
Highlight Your STEM Background: In your application, make sure to mention your STEM degree and any relevant coursework or projects. This is important as they are looking for candidates with a strong academic background from prestigious universities.
How to prepare for a job interview at Avanti Recruitment
✨Brush Up on Your SQL Skills
Since a strong SQL assessment is part of the interview process, make sure to review your SQL knowledge. Practice writing queries and optimising them for performance, as this will be crucial in demonstrating your technical abilities.
✨Familiarise Yourself with the Tech Stack
Get to know the technologies mentioned in the job description, especially Azure, AWS, GCP, and Databricks. Understanding how these platforms work and their applications in data engineering will show your enthusiasm and readiness for the role.
✨Prepare for Technical Questions
Expect technical questions related to ETL processes, data pipelines, and cloud computing. Be ready to discuss your previous experiences and how they relate to the responsibilities of the role, showcasing your problem-solving skills.
✨Showcase Your Teamwork Skills
As you'll be joining a rapidly expanding team, highlight your ability to work collaboratively. Share examples of past projects where you successfully collaborated with others, as this will demonstrate your fit within their team-oriented culture.