At a Glance
- Tasks: Design and engineer robust data ingestion frameworks using Databricks and Kafka.
- Company: Join a leading global FinTech known for innovation and rapid growth.
- Benefits: Earn up to £50K plus strong bonuses and great benefits.
- Other info: Hybrid work model with opportunities for career advancement in a dynamic environment.
- Why this job: Be part of a transformative data journey that impacts millions worldwide.
- Qualifications: Experience with Databricks, Python, and SQL for high-performance data pipelines.
The predicted salary is between 50000 - 50000 £ per year.
Junior Data Engineer required for a leading global FinTech organisation, recognised as one of the fastest-growing and most innovative businesses within the financial services sector. The company delivers cutting‑edge technology solutions across payments, digital banking, lending, and financial data services, supporting millions of customers and businesses worldwide.
Following continued growth and investment across its technology and product functions, the organisation is expanding its data capabilities to support increasingly sophisticated, data‑driven decision‑making across the business. This is an opportunity for a Junior Data Engineer to play a key role in the modernisation of a large‑scale enterprise data platform, helping to transform how the business ingests, processes, and leverages customer, transactional, and operational data.
Sitting within the Data team, you will work across a broad landscape encompassing financial data, real‑time streaming, data governance, and analytics. The business is undertaking a significant transformation programme, migrating legacy data pipelines onto a modern cloud‑based architecture designed to support high‑volume datasets, near real‑time processing, and scalable analytics capabilities across multiple products and markets.
As a Junior Data Engineer, you will be responsible for designing and engineering robust ingestion frameworks, supporting the migration of existing pipelines and contributing to the evolution of the central data platform. You will work with technologies including Kafka and Databricks to build scalable batch and streaming solutions. This role offers the opportunity to influence platform engineering standards and help shape a modern data ecosystem that underpins critical business and trading decisions across the organisation.
Details for the Junior Data Engineer:
- Salary: Up to £50,000 per annum + strong Bonus & Benefits
- Location: London (Hybrid – 2-3 days in the office per week)
What they are looking for in the Junior Data Engineer:
- Strong hands‑on experience with Databricks, including building and optimising enterprise‑scale data platforms
- Python development experience for building, orchestrating and maintaining high‑performance data pipelines and ingestion frameworks
- SQL skills for data validation, reconciliation, troubleshooting and performance optimisation across large and complex datasets
- Demonstrable experience designing, migrating and modernising data pipelines within cloud‑based environments, with a strong understanding of modern data engineering principles and best practices
Desirable skills for the Junior Data Engineer:
- Exposure working with real‑time and streaming data technologies, ideally Kafka, with an understanding of event‑driven architectures and near real‑time data processing
- Exposure to Medallion Architecture (Bronze, Silver, Gold) to support scalable and reliable data processing
Junior Data Engineer | Fintech | Databricks, Azure | Up to £50K + Strong Bonus + Benefits employer: VirtueTech Recruitment Group
At VirtueTech Recruitment Group, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our team members enjoy flexible working arrangements, opportunities for professional growth, and the chance to make a significant impact through their work on large-scale applications. Located near Manchester, our office provides a vibrant environment where creativity thrives, making it an ideal place for passionate Mobile Engineers to advance their careers.
Contact Details:
VirtueTech Recruitment Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer | Fintech | Databricks, Azure | Up to £50K + Strong Bonus + Benefits
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We think you need these skills to ace Junior Data Engineer | Fintech | Databricks, Azure | Up to £50K + Strong Bonus + Benefits
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at VirtueTech Recruitment Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at VirtueTech Recruitment Group
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For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
