At a Glance
- Tasks: Design and build high-performance streaming data platforms for real-time insights.
- Company: Join a growing engineering team at the forefront of data technology.
- Benefits: Private healthcare, life assurance, and competitive salary.
- Other info: Opportunity to work with Azure and collaborate with talented professionals.
- Why this job: Make an impact with cutting-edge tech in a dynamic environment.
- Qualifications: Strong SQL skills and experience with streaming data pipelines required.
The predicted salary is between 63000 - 77000 £ per year.
Security: BPSS required
We're looking for a Real-Time Data Engineer to design and build high-performance streaming data platforms that process and transform complex sensor, geospatial and operational data in near real-time. Working at the forefront of event-driven architecture, you'll help develop scalable data pipelines that deliver actionable insights from live data feeds across cloud, edge and on-premise environments. This is an opportunity to work on a modern Azure-based platform where streaming technologies, distributed processing and real-time analytics sit at the heart of the engineering challenge. You'll collaborate with data scientists, software engineers and platform teams to create resilient data products that support advanced analytics, machine learning and operational decision-making.
The Role
As a Data Engineer, you'll design, develop and operate scalable streaming and data processing solutions that ingest, transform and serve large volumes of real-world data. You'll work across both real-time and batch architectures, building systems that are reliable, observable and production-ready. The platform operates across Microsoft Azure, as well as edge and on-premise deployments, supporting a range of mission-critical applications.
What You'll Do
- Design, build and maintain real-time streaming and event-driven data pipelines
- Develop scalable ingestion, transformation and orchestration frameworks
- Monitor production data services and resolve performance, reliability and data quality issues
- Build reusable platform components, internal libraries and engineering tooling
- Implement automated testing, validation frameworks and deployment processes
- Design data models and storage architectures to support analytics, machine learning and AI-driven applications
- Document data flows, schemas and operational processes
What We're Looking For
- Strong SQL skills and experience designing analytical data models
- Experience building streaming, event-driven and real-time data pipelines
- Knowledge of distributed data processing technologies such as Apache Flink, Spark or similar
- Understanding of event streaming architectures, message brokers and stream processing concepts
- Experience working with high-volume, time-series or structured data stores
- Hands-on experience with Azure data and cloud platform services
- Experience with pipeline orchestration and workflow management tools
- Containerisation experience with Docker
- Experience deploying and operating workloads within Kubernetes environments
- Experience developing and integrating APIs
- Strong problem-solving skills and ability to work independently
- 3+ years' experience within a Data Engineering or Data Platform team
Nice to Have
- Experience with technologies such as Kafka, Confluent, Pulsar or similar streaming platforms
- Knowledge of TileDB or other multidimensional data technologies
- Exposure to AI, LLM or RAG-based analytics platforms
- Experience designing systems for edge or intermittently connected environments
- Degree in Computer Science, Data Engineering, Mathematics or equivalent experience
Private healthcare and cash plan
Life assurance (4x salary)
Join a growing engineering team building cutting-edge real-time data capabilities, where streaming technologies, event-driven architecture and modern cloud platforms are central to the mission.
Data Engineer | Streaming & Event-Driven Systems in London employer: Matchtech Group
Matchtech is an exceptional employer, offering a vibrant and inclusive work culture that prioritises employee wellbeing and professional growth. With a strong focus on the rail sector in Winnersh, employees benefit from comprehensive support, flexible working options, and exciting team incentives, all while contributing to significant infrastructure developments in Ireland. Join a dedicated team where your contributions are valued, and you can thrive in a dynamic environment that fosters both personal and career advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer | Streaming & Event-Driven Systems in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Engineer | Streaming & Event-Driven Systems in London
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 Matchtech Group, 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 Matchtech Group. 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 Matchtech Group
✨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 Matchtech Group!
✨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.
