Senior Data Engineer

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London, Greater London, England
Hybrid
Internship
Fintech • Financial Services
The faster, smarter way to find debt market intelligence.
The Role

About 9fin

The world's largest asset class, debt, operates with the worst data.

Technology has revolutionized equity markets with electronic trading, quant algos and instantaneous news. However, in debt capital markets, the picture is completely different. It still behaves like it’s in the 1980s; trillions of dollars of trades are placed over the phone, news is slow, and corporate credit information is imperfect and scattered.

Our mission is to change this.

9fin's proprietary technology delivers fast and comprehensive financial, credit, legal & ESG analysis. Our clients are able to make faster, more informed decisions, win more business and most importantly, save time.

Our fast growing list of clients include 9 of the top 10 Investment Banks, leading Asset Managers, Hedge Funds and Law Firms.

What you’ll work on

Every day is different, but here’s an example of the kind of things you’ll work on:

  • Implement data flows to connect operational systems, data for analytics, ML, and BI systems.

  • Lead the development of solutions for streaming data ingestion and transformations in line with our streaming strategy

  • Design, build and test data products that are complex or large scale.

  • Building advanced automation of data engineering pipelines through removal of manual stages.

  • Sourcing new data using the most appropriate tooling for the situation.

  • Understand the impact on the organisation of emerging trends in data tools, analysis techniques and data usage.

  • Understand industry-recognised data modelling patterns and standards, and when to apply them.

About You

This role will be a great fit if you[(’re)]:

  • Love Python and you’re an experienced programmer who is passionate about code quality and testing. 

  • Proficient in ETL/ELT technical design, data quality testing, cleansing and monitoring, data sourcing, and exploration/analysis.

  • Value agile methodologies, data-driven decision-making, reliability and incremental delivery. You’re able to work alongside a diverse set of stakeholders, ensuring alignment of solution with business need.

  • You understand distributed computing principles and have experience in distributed data systems for building streaming pipelines and data lakes (e.g. Flink, Trino, Iceberg, Parquet).

  • Have a solid understanding of Infrastructure As Code for Data related Platforms (e.g. experience with Terraform and Docker).

  • Experienced in using cloud platforms like AWS, GCP, or Azure and cloud warehouses (e.g. BigQuery, Snowflake) for building scalable/reliable data solutions.

Our benefits

We’re a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel.

Financial & Insurance

  • Competitive Salary(our salary bands are benchmarked at the top end of the market)

  • Equity options

  • Pension (your minimum contributions are 4% with 9fin matching up to 7%)

  • Private Medical Insurance

  • Paid sick leave with Income Protection for long periods of illness

  • Group Life Assurance 

  • Season Ticket Loan & Cycle to Work schemes

Time off 

  • 25 holiday days per year

  • Local public holidays (with the ability to exchange them for alternative days)

  • Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work

  • Work abroad for up to 3 months a year

  • 1 month paid sabbatical after 5 years of service

  • Enhanced parental leave & flexible working arrangements available

Training & Culture 

  • Professional learning and development budget

  • Quarterly team socials

  • Summer and Winter company social events


A note from the hiring manager

You know what makes 9fin a great modern data analytics platform? The people and the data! They are the reasons we’re loved by so many debt market professionals, including ourselves! We’re constantly iterating our ways to become a more data first driven company, where data and analytics drive the decisions. If you want to help push a business, through data, to new heights, 9fin is the place for you! I hope you consider talking to me to learn more about the role. - Sean, Head of Data & AI.

9fin is an equal opportunities employer

At 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you’re excited about this role but your experience doesn’t perfectly align with the job description, we encourage you to apply anyway. You might just be who we’re looking for — either for this role, or perhaps another.

What the Team is Saying

Rubi Gjika
Emmet Mc Nally
Sammy Cole
The Company
HQ: London
230 Employees
Hybrid Workplace
Year Founded: 2016

What We Do

9fin provides data, news, and predictive analysis for debt capital markets. Our fast growing list of clients include 9 of the top 10 Investment Banks, leading asset managers, hedge funds and law firms. Through an AI powered data & analytics platform 9fin centralizes everything that's needed to analyze a credit, or win a mandate in one place. Helping subscribers win business, outperform their peers and save time.

Why Work With Us

We're a team with a variety of professional and personal backgrounds. This affords us the opportunity to see things from many different angles. With space to both think deeply but also act quickly, responsibility and flexibility are abundant in equal measures at 9fin.

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9fin Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Work from the office, work from home, work from anywhere - within reason. Hybrid working means dividing your time between the office and remote working in a way that suits you and your lifestyle.

Typical time on-site: Flexible
HQLondon, GB
HQNew York, NY
Belfast, GB
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