Senior Data Engineer

Reposted 2 Months Ago
Hiring Remotely in GBR
Remote
Senior level
Fintech • Software • Financial Services
Through our API, financial service companies can access their small business customers' financial data more efficiently.
The Role
Build and maintain production data pipelines and features in Python; own project lifecycle from design to reliable production; set technical direction for the Insights platform; improve engineering standards (testing, observability, data quality); apply AI across products and pipelines; help establish semantic/AI-ready data layers.
Summary Generated by Built In

About Codat

Codat is an advisory intelligence solution purpose-built for modern commercial banking. Through rich, specialized data, forward-looking insights, and integrated workflows, Codat empowers banking teams to deepen their relationships, grow their revenue, and simplify their day-to-day work.

Founded in 2017 and backed by JPMorgan, PayPal, Amex, Plaid, and Shopify, Codat has successfully powered over 350,000 connections to business customers’ financial systems — and is trusted by industry leaders to turn scattered information into actionable, strategic advantages in real time, every time.

The Role

We're building the AI Assistant for commercial bankers. Relationship managers, treasury and credit teams use it to understand their business customers and act faster, and you'll be right in the middle of building it.

This is a hands-on job for people who like building and want to stay as an individual contributor. You'll design and ship the things the assistant depends on, and they'll still be yours once they're live. You'll also get a real say in where it goes next. That means making your case to engineers, product and the commercial team, and bringing them along with you.

What You'll Work On

  • The pipelines the assistant draws on, from raw source data to the numbers it quotes. You'll build them and keep them running.

  • The layers on top: metrics, definitions and the relationships between them, so a pile of financial data becomes something the assistant can reason over.

  • Testing and observability. We want what we ship to get more reliable, and we want the people around you to get better at it too.

You'll Probably Have

  • Built pipelines and production systems from scratch, writing the code yourself rather than mostly configuring managed services. If we ask about the hardest logic you've written, you'll have a story ready.

  • Good Python habits. Your tests are the kind someone else would be glad to inherit.

  • Real depth in a few of SQL, Spark, Databricks/Delta Lake, Dagster/Airflow/Temporal and dbt, and opinions about which ones annoyed you.

  • Time with CI/CD, Docker and cloud infrastructure. Even better if you set them up for a team.

  • An interest in the business behind the data. If the data says the request is wrong, you'll say so.

  • AI already built into how you work. You can show us where it saved you real time, or got you up to speed on something new.

  • Nice to have: some experience getting data ready for LLMs, like semantic layers, text-to-SQL or retrieval.

How We Work

We're a small team with plenty to do. Things move fast: we'd rather ship something useful and improve it than polish it in private. What you build is yours from start to finish.

There’s no return-to-office mandate, and you can work hybrid or fully remote. We trust you to be around when the team needs you and to deliver what you said you would. What we don’t want is anyone staying online late to prove a point.

Skills Required

  • Write well-tested, production-ready Python
  • Track record of building data pipelines and production systems from the ground up
  • Experience with SQL
  • Experience with Spark
  • Experience with Databricks and Delta Lake
  • Experience with orchestration tools (Dagster, Airflow, Temporal)
  • Experience with dbt
  • Comfort with CI/CD practices
  • Containerisation experience (Docker)
  • Familiarity with cloud-based infrastructure
  • Strong communication skills and ability to lead technical direction
  • Product mindset and ability to translate business domain into technical solutions
  • Use of AI as a default way of working and evidence of applying AI beyond code generation
  • Experience shaping deployment practices for a team
  • Exposure to semantic layers, ontologies, text-to-SQL, or operationalizing AI in data platforms
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: London
211 Employees
Year Founded: 2017

What We Do

Our mission is to make life easier for the lifeblood of economies globally; small and medium-sized businesses. Codat is a universal API for consented business financial data, powering the next generation of products and services for this historically underserved market. We have offices in London, New York, San Francisco, and Sydney. We are a privately held company, and have recently closed our Series B funding and are funded by Index Ventures, Tiger Global, American Express, PayPal and a line-up of world class angel investors.

Why Work With Us

We are a people-first company that not only values our relationships with our clients and partners, but our internal employees as well. We promote from within and pride ourselves on creating a diverse, yet inclusive environment where we can collaborate, create, strategize, and grow together. We work hard, play hard, and win big.

Gallery

Gallery

Similar Jobs

Phantom (phantom.com) Logo Phantom (phantom.com)

Senior Data Engineer

Software • Cryptocurrency
Remote
GBR
255 Employees

Raydar Logo Raydar

Senior Data Engineer

Professional Services • Consulting
Remote
2 Locations
28 Employees
90K-110K Annually
Remote
United Kingdom
1380 Employees

Reach plc Logo Reach plc

Senior Data Engineer

eCommerce • Information Technology
Remote
England, GBR
2068 Employees

Similar Companies Hiring

Ford Energy Thumbnail
Automotive • Software • Energy • Utilities • Manufacturing • Renewable Energy
Glendale, Kentucky
55 Employees
Revel Thumbnail
Aerospace • Hardware • Robotics • Software
Marina Del Rey, California
70 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
33 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account