At a Glance
- Tasks: Build real-time data pipelines and modernise legacy systems for Citywire's Catalyst platform.
- Company: Join Citywire, a leader in the global asset management industry.
- Benefits: Enjoy generous holidays, flexible working, and well-being allowances.
- Other info: Be part of a culture that values honesty, integrity, and fairness.
- Why this job: Make an impact with cutting-edge tech in a supportive, collaborative environment.
- Qualifications: Strong Python skills and experience with AWS event-driven services required.
The predicted salary is between 36000 - 60000 £ per year.
We’re looking for a Data Engineer with strong Python skills and experience in event-driven systems to join our growing data team. This isn’t your typical “pipelines-for-analysts” role - you’ll be building real-time systems that power applications, tooling, and commercial products across the business.
What you’ll be doing:
- Build and maintain event-driven data pipelines that power Citywire’s Catalyst platform.
- Design resilient, fault-tolerant workflows using AWS services such as Lambda, Kinesis, SQS, DynamoDB Streams, and EventBridge.
- Implement processors that ensure data consistency across DynamoDB, PostgreSQL (Aurora), OpenSearch, and BigQuery.
- Modernise legacy batch processes into stream-first architectures.
- Build and integrate APIs to enable smooth publishing and consumption of events across systems.
- Collaborate with engineers on greenfield and existing projects, balancing speed with resilience.
- Take ownership of key pipelines and services, ensuring reliability, performance, and scalability.
- Share best practices and mentor others in event-driven data engineering.
What we’re looking for:
- Technical Skills: Proven experience in data engineering or backend development, with solid Python skills and hands-on use of AWS event-driven services.
- Event-Driven Knowledge: Understanding of DLQs, retries, buffering, idempotency, and resilient design patterns.
- Cloud & CI/CD Experience: Familiarity with Terraform, Git-based workflows, and cloud-native deployments.
- Database Skills: Experience with SQL and NoSQL databases such as PostgreSQL, DynamoDB, or OpenSearch.
- Problem-Solver: Comfortable working in Linux environments and confident debugging logs, scripts, and production issues.
- Additional Skills: Exposure to Kafka, Spark, or dbt Core, with an interest in domain-driven data contracts.
Location: London, England, United Kingdom.
Culture and Values: At Citywire, we uphold a culture rooted in honesty, integrity, and fairness, where every voice is valued and heard. Our culture promotes constructive dialogue and collaboration on a global scale.
Benefits:
- Generous holiday entitlement: Start with 25 days per annum, increasing to 28 days after three years' service, and 30 days after five years' service, in addition to bank holidays.
- Flexible working options.
- £480 annual allowance for well-being activities or gym memberships, with assistance available for monthly or annual costs.
- Eye-test and glasses allowance.
- Critical illness cover and group life assurance from day one of employment.
- Well-being support: Access to an independent Employee Assistance Programme, available 24/7.
- Cycle to work scheme and annual travel card loans.
- Techscheme: Purchase the latest tech through our employer scheme, spreading the cost over 12 months with National Insurance savings.
- After two years of continuous service, access group income protection, private medical, and dental insurance.
Citywire is an equal opportunities employer.
Data Engineer in City of London employer: Citywire
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We think this is how you could land Data Engineer in City of London
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We think you need these skills to ace Data Engineer in City of 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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Citywire. 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!
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✨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!
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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
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✨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.
