At a Glance
- Tasks: Design and implement resilient data integration solutions for a fast-paced trading environment.
- Company: Dynamic cross asset trading house focused on innovative data solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Work in a collaborative environment with excellent career advancement opportunities.
- Why this job: Join a tech-savvy team and tackle complex engineering challenges with real impact.
- Qualifications: Experience with Apache Kafka, Python, SQL, and event-driven architectures required.
The predicted salary is between 63000 - 77000 £ per year.
This engineer is needed for a cross asset trading house who are looking to consume and distribute data at scale, faster, more securely and in a replicable manner, as they continue to add trading products, acquire companies and push their SAAS platform at scale.
The emphasis is on the INTEGRATION as you will be responsible for designing and implementing resilient ingestion, orchestration and distribution solutions, using service-based and event-driven architectures.
Bridging data into systems, from an extraction and distribution perspective, ensuring integration Is smooth and accurate.
Extracting Data from both bespoke internally built platforms, external market data providers, CRM’s, off-the-shelf platforms, Kafka Services & other sources.
Integrating this data into a variety of different sources, ensuring observability, speed and accuracy, whilst also thinking about scale, as the firm continues to grow.
3 days from London, closest station is Bank / Liverpool Street
Experience with Apache Kafka and event-driven integration architectures & designing and implementing enterprise-scale API-led, event-driven, and service-based integration solutions across data platforms.
This role will suit a highly technical engineer to design, build and optimise large-scale data pipelines that ingest and transform data from highly distributed, event-driven systems.
You’ll work with enormous volumes of data and high-throughput event streams, building resilient, scalable integration services that can process data reliably in real time and near real time.
The role will involve working deep in the technology stack, tackling challenges around throughput, latency, data consistency, schema evolution, fault tolerance and observability.
You need to be be comfortable working with event-driven architectures, streaming platforms, APIs and distributed systems, and have a strong understanding of how to engineer data pipelines that remain performant and reliable at scale.
This will suit a data integration engineer who enjoys solving complex engineering problems, understands the trade-offs involved in processing huge datasets, and can work across application, data and infrastructure layers to deliver robust integrations that underpin critical business processes.
- Strong hands-on experience with Apache Kafka and event-driven integration architectures.
- Proven expertise designing and implementing enterprise-scale API-led, event-driven, and service-based integration solutions across data platforms, applications, and operational systems.
- Experience implementing CI/CD pipelines, automated testing, and modern software engineering practices.
- Strong proficiency in Python and SQL for enterprise data engineering and integration workloads.
- How Integration architectures and engineering practices influence data quality, observability, lineage, traceability, and auditability.
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Data Engineer employer: VirtueTech Recruitment Group
Join a leading global energy trading business that prioritises innovation and employee development. With a collaborative work culture, you will have the opportunity to take ownership of impactful projects while benefiting from continuous learning and growth in a dynamic environment. Located in a vibrant area, this role offers unique advantages such as access to cutting-edge technology and a commitment to sustainability.
Contact Details:
VirtueTech Recruitment Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
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We think you need these skills to ace 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!
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Craft a Tailored Cover Letter:For a full-time role at VirtueTech Recruitment 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 VirtueTech Recruitment 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 VirtueTech Recruitment 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 VirtueTech Recruitment 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.
