At a Glance
- Tasks: Design and optimise scalable data pipelines using Python and AWS services.
- Company: Leading IT solutions provider in the UK and EU market.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative Agile environment with excellent career advancement opportunities.
- Why this job: Join a dynamic team shaping next-gen data platforms and make a real impact.
- Qualifications: 10+ years of data engineering experience with strong Python and AWS skills.
The predicted salary is between 63000 - 77000 £ per year.
London, United Kingdom | Posted on 24/11/2025
We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market.
Job Description
Role Overview
We are developing a next-generation data platform and are looking for an experienced Senior Data Engineer to help shape its architecture, reliability, and scalability.
The ideal candidate will have more than 10 years of hands‑on engineering experience and a strong background in building modern data pipelines, working with cloud‑native technologies, and applying robust software engineering practices.
Key Responsibilities
- Design, develop, and optimise scalable, testable data pipelines using Python and Apache Spark.
- Implement batch workflows and ETL processes adhering to modern engineering standards.
- Develop Cloud-Based Workflows
- Orchestrate data workflows using AWS services such as Glue, EMR Serverless, Lambda, and S3.
- Contribute to the evolution of lakehouse architecture leveraging Apache Iceberg.
- Apply Software Engineering Best Practices
- Use version control, CI/CD pipelines, automated testing, and modular code principles.
- Participate in pair programming, code reviews, and architectural design sessions.
- Data Quality & Observability
- Build monitoring and observability into data flows.
- Implement basic data quality checks and contribute to continuous improvements.
- Stakeholder Collaboration
- Work closely with business teams to translate requirements into data-driven solutions.
- Develop an understanding of financial indices and share domain insights with the team.
- What You’ll Bring
- Technical Expertise
- Strong experience writing clean, maintainable Python code, ideally using type hints, linters, and test frameworks such as pytest.
- Solid understanding of data engineering fundamentals including batch processing, schema evolution, and ETL pipeline development.
- Experience with—or strong interest in learning—Apache Spark for large-scale data processing.
- Familiarity with AWS data ecosystem tools such as S3, Glue, Lambda, and EMR.
- Ways of Working
- Comfortable working in Agile environments and contributing to collaborative team processes.
- Ability to engage with business stakeholders and understand the broader context behind technical requirements.
- Nice-to-Have Skills
- Experience with Apache Iceberg or similar table formats (e. g., Delta Lake, Hudi).
- Familiarity with CI/CD platforms such as Git Lab CI, Jenkins, or Git Hub Actions.
- Exposure to data quality frameworks such as Great Expectations or Deequ.
- Interest or background in financial markets, index data, or investment analytics.
- #J-18808-Ljbffr
AWS Data Engineer employer: Technopride Ltd
As an employer, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Located in the vibrant city of London, we offer our employees competitive benefits, opportunities for professional growth, and the chance to work on cutting-edge projects in data engineering. Join us to be part of a forward-thinking team that values your contributions and supports your career development in the exciting field of IT solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AWS 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 Technopride 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 AWS Data Engineer at Technopride 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 Technopride Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like AWS Data Engineer at Technopride 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 AWS 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 Technopride 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 Technopride 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 Technopride 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 Technopride 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.
