At a Glance
- Tasks: Design and build scalable data platforms while solving real-world business challenges.
- Company: Join a forward-thinking team in the financial tech sector.
- Benefits: Competitive salary, training opportunities, and a collaborative work environment.
- Other info: No financial experience needed; we provide training and support for your growth.
- Why this job: Make a tangible impact on data solutions and grow your skills in a dynamic setting.
- Qualifications: Passion for programming, familiarity with SQL, and teamwork skills are essential.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for an exceptional Software Engineer to be an integral member of the Data Engineering team. We work closely to solve challenging problems that have direct impact on our business and trading.
In this role, you will play a key part in designing, building, and expanding our data platform, with a focus on the development of our new data pipeline framework. You will have the opportunity to develop highly scalable and performant solutions, while partnering with various stakeholders. Prior experience with financial data is beneficial but not necessary; we welcome talented developers without a background in financial services and are happy to provide training and guidance.
Responsibilities:
- Designing and developing scalable and robust services using best practices
- Writing automated tests
- Maintaining, and scaling delivery/integration pipelines
- Developing reusable libraries for the Data Engineering team
- Collaborating with engineering teams and researchers to propose and develop new framework features
Qualifications:
- Deep experience and passion for programming, design, and architecture (Python preferred)
- Knowledge of testing as part of continuous delivery and integration pipelines
- Familiarity with SQL and relational databases
- Knowledge of data lakes and data lakehouses (e.g. Apache Iceberg, Delta Lake, Snowflake)
- Excellent communication skills, and ability to collaborate effectively in a small, close-knit team
- Familiarity with cloud technologies (AWS preferred)
- Fluency in English
Data Platform Engineer in Tipton employer: Skill2source
Join a dynamic and innovative team as a Data Platform Engineer, where you'll have the opportunity to work on cutting-edge data solutions that directly influence our business success. Our collaborative work culture fosters continuous learning and growth, providing you with the chance to enhance your skills while contributing to impactful projects. Located in a vibrant area, we offer a supportive environment that values diversity and encourages professional development, making us an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer in Tipton
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow engineers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data platforms or pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding data architecture concepts. Practice common interview questions and consider mock interviews to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Platform Engineer in Tipton
Some tips for your application 🫡
Show Your Passion for Programming:When you write your application, let your enthusiasm for programming shine through! We love to see candidates who are genuinely excited about coding and design, so share any personal projects or experiences that highlight your passion.
Tailor Your Application:Make sure to customise your application to fit the Data Platform Engineer role. Highlight relevant skills like Python programming, SQL knowledge, and any experience with data lakes. This shows us that you understand what we're looking for and how you can contribute.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and long-winded explanations. Use bullet points if it helps to make your skills and experiences stand out!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Skill2source
✨Know Your Tech Stack
Make sure you brush up on your programming skills, especially in Python, as it's preferred for this role. Familiarise yourself with SQL and any relevant cloud technologies like AWS. Being able to discuss your experience with these tools will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects and how you tackled them. This is particularly important for a Data Platform Engineer, as you'll be solving complex problems that impact the business. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Understand the Business Context
Even if you don't have a background in financial services, take some time to learn about the industry and how data plays a role in trading and business decisions. This will help you connect your technical skills to the company's goals during the interview.
✨Emphasise Collaboration
Since the role involves working closely with various stakeholders, be prepared to discuss your teamwork experiences. Highlight instances where you've successfully collaborated with others to develop new features or solve problems, showcasing your excellent communication skills.
