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- Tasks: Design and develop data ingestion pipelines for real-time processing solutions.
- Company: Renowned IT client offering end-to-end IT solutions in the UK and EU.
- Benefits: Remote work, competitive salary, and opportunities for continuous improvement.
- Why this job: Join a dynamic team and make an impact on innovative data products.
- Qualifications: Experience in data ingestion, strong coding skills, and collaboration abilities.
- Other info: Exciting remote role with excellent career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
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.
This is a remote position. We are looking for a Sr. Data Engineer for one of our renowned IT clients based in Poland. If interested, please share your updated CV to discuss further on the role.
Role Overview
Reporting to a Technical Lead, this role plays a critical part in supporting the Data Ingestion team and both Business and Technical Product Owners. The successful candidate will contribute to the expansion and adoption of data products across multiple service lines, products, functions, and delivery teams. The role spans a wide range of responsibilities, including the technical design and development of near real-time data processing solutions, building and maintaining data ingestion pipelines, enabling consumer interactions, and supporting business documentation and reporting.
Key Responsibilities
- Collaborate with stakeholders to identify and ideate opportunities for continuous improvement of data assets and the services provided to data consumers.
- Participate in design and development sessions to enhance data asset creation and ingestion pipelines, with a strong focus on stability, performance optimization, and traceability.
- Design, develop, test, and maintain data ingestion pipelines and supporting processes.
- Build resilient, fault-tolerant, and modular code to ensure data pipelines and services are robust, scalable, and highly available.
- Research, evaluate, and implement new tools, methods, and processes to enable the creation of high-quality, enterprise-grade data products and services.
- Actively collaborate across teams to ensure seamless transitions between data ingestion, consumption, and activation stages.
- Contribute to documentation, reporting, and knowledge sharing to support long-term platform sustainability.
Required Skills & Experience
- Strong experience in designing and developing data ingestion and processing solutions, including near real-time data pipelines.
- Proven ability to write clean, modular, and maintainable code with a focus on reliability and performance.
- Experience working with distributed systems, data pipelines, and modern data platforms.
- Strong collaboration skills with the ability to work effectively across technical and non-technical teams.
- Analytical mindset with a passion for continuous improvement and problem-solving.
- Comfortable working in agile or product-oriented delivery environments.
Sr. Data Engineer employer: Technopride Ltd
Contact Detail:
Technopride Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend virtual meetups, and engage with professionals on platforms like LinkedIn. We can’t stress enough how important it is to make those personal connections that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data engineering. We recommend doing mock interviews with friends or using online resources to get comfortable discussing your experience and skills. The more prepared you are, the more confident you'll feel!
✨Tip Number 3
Showcase your projects! If you've worked on any data ingestion pipelines or similar projects, make sure to highlight them during interviews. We love seeing real examples of your work, so don’t hold back on sharing your achievements and the impact they had.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re always on the lookout for talented individuals like you, so don’t hesitate to submit your CV and let us help you land that Sr. Data Engineer role!
We think you need these skills to ace Sr. Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Sr. Data Engineer role. Highlight your experience with data ingestion and processing solutions, and don’t forget to showcase your collaboration skills. We want to see how you can contribute to our team!
Showcase Your Projects: Include specific projects where you've designed and developed data pipelines. We love seeing real examples of your work, especially if they demonstrate your ability to build resilient and scalable solutions. This helps us understand your hands-on experience!
Keep It Clear and Concise: When writing your application, keep it clear and concise. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate straightforward communication that gets to the point!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We’re excited to hear from you and see how you can fit into our team!
How to prepare for a job interview at Technopride Ltd
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data ingestion and processing solutions. Be ready to discuss specific projects where you've designed or developed near real-time data pipelines. This will show your expertise and help you connect your experience with the role.
✨Showcase Your Collaboration Skills
Since this role involves working closely with both technical and non-technical teams, prepare examples that highlight your collaboration skills. Think of situations where you successfully worked with stakeholders to improve data assets or services, as this will demonstrate your ability to communicate effectively across different groups.
✨Prepare for Technical Questions
Expect to face some technical questions during the interview. Brush up on your coding skills and be ready to explain your approach to building resilient and fault-tolerant data pipelines. Practising coding challenges related to data processing can also give you a leg up.
✨Emphasise Continuous Improvement
The company values an analytical mindset and a passion for continuous improvement. Be prepared to discuss how you've implemented new tools or processes in past roles to enhance data quality or performance. This will show that you're proactive and committed to delivering high-quality results.
