At a Glance
- Tasks: Solve complex data challenges and deliver scalable solutions in a dynamic environment.
- Company: Join a forward-thinking tech company at the heart of data innovation.
- Benefits: Enjoy a competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Be part of a collaborative team with excellent career advancement opportunities.
- Why this job: Make a real impact on how teams interact with data and drive insights.
- Qualifications: Programming skills in Python or similar, and experience with data warehouses like Snowflake.
The predicted salary is between 63000 - 77000 £ per year.
As a Junior Data Platform Engineer, you'll work alongside senior team members to tackle complex challenges, while taking ownership of your own areas of the problem, in a fast-paced environment where no two days look the same. The role is fundamentally about problem solving: understanding business challenges, breaking them down, and delivering pragmatic, scalable solutions.
You’ll work closely with product, analytics, and engineering teams, operating with a high degree of autonomy. That means proactively gathering context, aligning stakeholders, and ensuring work lands effectively. Data Platform sits at the centre of the business, with a real opportunity to shape how teams interact with data. The focus is on enabling fast, iterative analytics, moving from idea to insight quickly, while maintaining strong foundations around reliability, cost, and security.
Our Modern Tech Stack
- Languages: Python, SQL, Terragrunt, JavaScript
- Cloud: AWS (primary), some GCP
- Warehouse & Storage: Snowflake, S3/Parquet
- Data & ETL: dbt, Fivetran
- Platform & Infra: Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions, HashiCorp Vault
- Observability: Datadog, Grafana
- Dashboarding: Preset
- Other: Claude
What we’re looking for
- Strong fundamentals and the ability to apply them pragmatically:
- Solid programming ability (Python or similar)
- Strong experience with Snowflake (or similar warehouses)
- Good understanding of software engineering patterns and architectures
- Experience building data-intensive systems
- Cloud experience (AWS preferred)
- Infrastructure as code (Terraform ideally)
- CI/CD best practices
- Familiarity with modern data architectures (Lambda/Kappa)
Just as importantly, how you work:
- A self-starter who takes ownership and drives work forward
- Strong problem solver who focuses on understanding before building
- Good judgement on build vs buy decisions
- Comfortable working in ambiguity and shaping direction
- Clear communicator across technical and non-technical audiences
- Able to manage multiple streams of work without losing momentum
- Pragmatic, balancing speed with scalability and reliability
- Actively looks to improve ways of working, including leveraging AI tooling
Interview process
- Initial call with Talent team
- Hiring manager call
- Technical interview
- Final interview with VP of Platform
Junior Data Engineer employer: Lendable Ltd
Lendable is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that fosters innovation and collaboration. As a Growth Leader in Direct Mail & CRM, you will have access to extensive employee growth opportunities, including hands-on data work and strategic leadership roles, all while being part of a team that values creativity and data-driven decision-making. With a focus on meaningful impact and a commitment to professional development, Lendable stands out as a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Lendable Ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Junior Data Engineer at Lendable Ltd.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Lendable Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Junior Data Engineer at Lendable Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Junior Data Engineer
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Lendable Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Lendable Ltd. 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 Lendable Ltd
✨Brush Up on Your Statistics
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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Lendable Ltd!
✨Prepare for Case Studies
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.
