At a Glance
- Tasks: Design and maintain real-time market data pipelines for crypto trading strategies.
- Company: Join Fasanara Digital, a leading crypto investment firm with a collaborative culture.
- Benefits: Enjoy competitive bonuses, health benefits, generous leave, and fun team events.
- Other info: Dynamic environment with opportunities for growth and learning in a meritocratic setting.
- Why this job: Make an impact in the fast-paced world of crypto with cutting-edge technology.
- Qualifications: 3+ years in data engineering, strong Python skills, and experience with streaming technologies.
The predicted salary is between 60000 - 80000 £ per year.
About Fasanara Digital
Fasanara Digital was established 8 years ago and is the crypto arm of Fasanara Capital, a 15-year-old boutique alternative asset manager. We are a Quantitative Investment fund applying a scientific approach to investing in crypto assets. Our goal is to achieve exceptional risk-adjusted returns. We pursue a range of diversified and highly sophisticated investment strategies that seek to profit from inefficiencies in the market structure and range from market making to cross-exchanges arbitrage.
Our Culture
We are strong believers in meritocracy, and we reward people based on impact and excellence. There is no bureaucracy of large organisations; the environment is collaborative, entrepreneurial, and is based on trust. We set ambitious goals, work hard, stress teamwork, and adhere to the highest level of excellence in everything we do. We are only as good as our team. Thus, we are building the firm around exceptional talent.
Position Overview
As a Data Engineer at Fasanara Digital, you will be responsible for the design, development, and maintenance of real-time and historical market data pipelines that underpin our alpha research programmes and live mid-frequency trading strategies. You will work closely with quantitative researchers and trading engineers to ensure that high-quality, low-latency data is available at every stage of the research and production lifecycle. You will also take ownership of evaluating and adopting best-in-class technologies for ingesting, storing, and serving large volumes of market data for back-testing and strategy development.
Key Responsibilities
- Design, build, and maintain robust real-time market data pipelines from multiple cryptocurrency exchanges and data vendors, ensuring high availability, low latency, and data integrity across all feeds.
- Manage and optimise historical data storage infrastructure, including the ingestion, normalisation, and cataloguing of tick data, order book snapshots, trade data, and derived market signals for use in quantitative research and back-testing.
- Collaborate closely with quantitative researchers and trading engineers to understand data requirements, delivering clean and well-documented datasets that accelerate alpha discovery and strategy development.
- Build and maintain efficient data-serving layers (e.g. time-series databases, data APIs, query engines) capable of handling large-scale historical queries and real-time data access patterns required by research and live trading systems.
- Monitor pipeline health, implement alerting and observability, and respond rapidly to data quality issues, feed outages, or latency degradation that could impact live trading performance.
- Evaluate and introduce modern data engineering technologies and best practices — including streaming frameworks, columnar storage formats, distributed query engines, and cloud-native data platforms — to continually raise the bar on throughput, reliability, and researcher productivity.
- Document data schemas, pipeline architectures, and operational runbooks to ensure knowledge is shared across the team and systems remain maintainable at scale.
Requirements
- Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related quantitative or technical field.
- Minimum of 3 years of professional experience in data engineering, with a strong track record of building and operating production-grade data pipelines in a high-throughput or time-sensitive environment.
- Proficiency in Python and/or a JVM-based language (Java/Scala) for pipeline development, with solid SQL skills for querying and transforming large datasets.
- Hands-on experience with real-time streaming technologies such as Kafka, Redpanda, or similar, and familiarity with both batch and micro-batch processing frameworks.
- Experience with time-series or columnar databases (e.g. TimescaleDB, InfluxDB, Arctic, ClickHouse, kdb+, or Parquet-based data lakes), and an understanding of the trade-offs between storage and query performance at scale.
- Familiarity with cloud infrastructure (AWS, GCP, or Azure) and infrastructure-as-code practices; experience with containerised and orchestrated workloads (Docker, Kubernetes) is a plus.
- Experience in financial services, quantitative trading, or a data-intensive technology company is strongly preferred; direct exposure to cryptocurrency or digital asset markets is a plus but not required.
Benefits
- Competitive bonus scheme.
- Bupa health & dental, Cycle to Work scheme, enhanced pension, and generous annual leave.
- Enhanced parental leave, special leave allowances, and charity giving options.
- Regular team events, legendary summer & Christmas parties, knowledge sharing sessions, and quarterly town halls.
- Team lunches, dinners, Friday drinks, team sport activities.
Data Engineer in London employer: Fasanara
Fasanara Digital is an exceptional employer that fosters a collaborative and entrepreneurial work culture, where meritocracy and excellence are at the forefront. As a Data Engineer, you will benefit from competitive bonuses, comprehensive health and dental coverage, and generous leave policies, all while working in a dynamic environment that prioritises teamwork and innovation. With ample opportunities for professional growth and regular team events, Fasanara Digital is committed to building a talented team dedicated to achieving outstanding results in the fast-paced world of crypto assets.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving real-time data pipelines or market analysis. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to data engineering. Be ready to discuss your experience with tools like Kafka or SQL, and think about how you can apply your knowledge to Fasanara Digital's needs.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Fasanara Digital.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight relevant experience and skills that match the job description, especially your expertise in data pipelines and technologies like Python and SQL.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about data engineering and how you can contribute to our team. Share specific examples of past projects or achievements that demonstrate your capabilities.
Showcase Your Technical Skills:Don’t just list your technical skills; provide context! Mention specific projects where you used real-time streaming technologies or worked with time-series databases. This helps us see your practical experience.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team.
How to prepare for a job interview at Fasanara
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals, especially around building and maintaining data pipelines. Be ready to discuss your experience with technologies like Kafka or SQL, as well as any real-time streaming frameworks you've worked with.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled data quality issues or optimised data storage in previous roles. Fasanara Digital values a collaborative approach, so highlight instances where teamwork led to successful outcomes.
✨Understand the Crypto Landscape
Even if you don't have direct experience in cryptocurrency, it's crucial to familiarise yourself with the basics of the crypto market and its data requirements. This will show your enthusiasm for the role and your willingness to learn about the industry.
✨Ask Insightful Questions
Prepare thoughtful questions about Fasanara Digital's data strategies and the technologies they use. This not only demonstrates your interest in the company but also gives you a chance to assess if their culture aligns with your values.
