At a Glance
- Tasks: Design and optimise scalable ETL/ELT pipelines in a cutting-edge Databricks environment.
- Company: Fast-growing fintech transforming international money movement with modern technology.
- Benefits: Competitive salary, bonus, enhanced pension, private healthcare, and 25 days annual leave.
- Other info: Clear progression opportunities into technical leadership roles.
- Why this job: Join a dynamic team and make a real impact on innovative data products.
- Qualifications: Strong experience in Data Engineering, Databricks, Python, and SQL required.
The predicted salary is between 70000 - 90000 £ per year.
A fast-growing fintech business transforming how companies move money internationally through a modern payments platform are looking for a Senior Data Engineer to join their team.
What Will I Be Doing:
- Design, build, and optimise scalable ETL/ELT pipelines within a modern Databricks environment.
- Develop and maintain workflow orchestration, monitoring, alerting, and data quality controls.
- Integrate external platforms and APIs into the wider data ecosystem.
- Collaborate with Data, Engineering, Finance, Marketing, and BI teams to deliver commercially impactful data products.
- Contribute to AI initiatives, platform architecture, and the ongoing evolution of the company's data strategy.
What We're Looking For:
- Strong commercial experience in Data Engineering, with hands-on expertise in Databricks and Azure.
- Advanced skills in Python, PySpark, and SQL, with experience building scalable data platforms.
- Knowledge of CI/CD practices and tools such as GitHub, Terraform, and deployment automation platforms.
- Experience implementing data governance, monitoring, and quality frameworks.
- A proactive, collaborative mindset with the ability to thrive in a fast-paced, high-growth environment. FinTech or Payments experience is a plus.
What's In It For Me?
- Work with a modern, AI-first technology stack on projects with direct commercial impact.
- Clear progression opportunities into technical leadership and platform ownership.
- Competitive package including bonus, enhanced pension, private healthcare, and 25 days annual leave plus bank holidays.
Apply now for immediate consideration!
Senior Data Engineer in Slough employer: Understanding Recruitment
Join a dynamic fintech company that is revolutionising international payments, where you will have the opportunity to work with cutting-edge technology in a collaborative and fast-paced environment. With a strong focus on employee growth, you can expect clear pathways to technical leadership and platform ownership, alongside a competitive benefits package that includes private healthcare and generous annual leave. This is not just a job; it's a chance to make a meaningful impact in the world of finance while advancing your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Slough
✨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 Understanding Recruitment!
✨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 Senior Data Engineer at Understanding Recruitment.
✨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 Understanding Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Understanding Recruitment, 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 Senior Data Engineer in Slough
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 Understanding Recruitment, 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 Understanding Recruitment. 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 Understanding Recruitment
✨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 Understanding Recruitment!
✨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.
