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- Tasks: Support data stack redesign and maintain Python pipelines for a leading financial services firm.
- Company: Join a top financial services organisation in London with a focus on innovation.
- Benefits: Competitive salary, hands-on experience, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement opportunities.
- Why this job: Be part of a modern data platform and make a real impact in the financial sector.
- Qualifications: BSc in Computer Science and solid Python programming skills required.
The predicted salary is between 40000 - 40000 £ per year.
We’re partnered with a leading financial services organisation in London seeking a Junior Data Engineer to join their growing team. Over the next 12 months, they’re modernising their stack by containerising workflows, migrating to cloud-based data systems, and introducing orchestration tools such as Prefect. This is a hands-on role contributing to a next-generation data platform and helping shape a new centralised data engineering function.
Role Responsibilities:
- Support the redesign of their data stack, including containerising workflows, migrating to cloud SQL, and introducing tools like Prefect.
- Maintain and optimise 60 Python pipelines, refactoring legacy code into modular components.
- Keep Power BI dashboards accurate and up to date, supporting evolving business needs.
- Help implement validation and anomaly detection within their pipelines to ensure data integrity.
- Manage Git workflows and assist in setting up lightweight deployment pipelines.
- Maintain clear, up-to-date records of code, processes, and workflows.
- Occasionally assist the research desk with Python-based analysis and data visualisation.
Skills Experience:
- Essentials: BSc in Computer Science or a related discipline
- Solid Python programming skills
Junior Data Engineer employer: Intec Select Limited
Contact Detail:
Intec Select Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects or any data engineering work you've done. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the tools mentioned in the job description, like Prefect and cloud SQL. We recommend doing mock interviews to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals ready to dive into the world of data engineering.
We think you need these skills to ace Junior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Junior Data Engineer role. Highlight your Python skills and any experience with cloud systems or data pipelines. We want to see how your background fits into our vision!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to modernising our data stack. Let us know why you're excited about this opportunity!
Showcase Relevant Projects: If you've worked on any projects related to data engineering, be sure to mention them. Whether it's containerising workflows or using tools like Prefect, we love seeing practical examples of your skills in action.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Intec Select Limited
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like Python, cloud SQL, and orchestration tools such as Prefect. Brush up on your knowledge of containerisation and how it applies to data workflows, as this will show your potential employer that you’re ready to hit the ground running.
✨Showcase Your Projects
Prepare to discuss any relevant projects or experiences where you've worked with data engineering concepts. Whether it's a university project or a personal endeavour, having concrete examples will help demonstrate your skills and passion for the role. Be ready to explain your thought process and the impact of your work.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the company’s data stack and future plans. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you. Ask about their approach to maintaining data integrity or how they handle legacy code refactoring.
✨Practice Problem-Solving
Expect some technical questions or coding challenges during the interview. Practise solving problems related to data pipelines and Python programming. Websites like LeetCode or HackerRank can be great resources. Being able to think on your feet and demonstrate your problem-solving skills will impress your interviewers.