Data Engineer (Financial Analytics focus)

Reposted 4 Days Ago
Be an Early Applicant
Melbourne, Victoria, AUS
Hybrid
Mid level
Software
The Role
In this role, a Data Engineer will develop and maintain data pipelines, implement quality checks, enhance reporting processes, and collaborate with stakeholders.
Summary Generated by Built In
We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.
 
We are seeking a Data Engineer to join our Financial Analytics team developing and maintaining data pipelines, transformation logic, and data quality checks in a complex multi-jurisdiction financial data platform (PostgreSQL DWH + Airflow orchestration). 

Responsabilities

  • Implement enhancements and changes to existing reporting processes to improve accuracy, performance, and usability
  • Design and develop new reporting pipelines and datasets aligned with business requirements
  • Automate of data delivery processes
  • Identify and implementation of automated data quality checks
  • Resolve of issues related to data quality
  • Collaborate with business stakeholders to gather reporting requirements, clarify logic, and ensure outputs meet expectations

Requirements

  • 4+ years in analytics engineering or similar data-focused roles
  • Advanced PostgreSQL: stored procedures and functions, complex CTEs, window functions, SCD2 patterns, query plan analysis and optimisation
  • Strong understanding of data warehouse architecture: staging, core, and data mart layers; incremental load patterns; slowly changing dimensions
  • Hands-on experience with Apache Airflow: DAG authoring, scheduling, dependency management, and failure handling
  • Proficiency with Git (GitLab or GitHub) and JIRA
  • Experience designing and evolving data warehouse architecture and data models
  • Track record of building robust, maintainable ELT/ETL pipelines in production
  • Experience implementing automated data quality checks
  • Domain fluency in financial and trading concepts, with the ability to understand requirements and clearly explain implemented logic to business stakeholders
  • High degree of autonomy: able to reverse-engineer undocumented systems, identify root causes, and take end-to-end ownership of pipelines and calculation logic
  • Comfortable using AI-assisted development tools (e.g., Claude, Copilot, Cursor) to improve productivity

Nice to have

  • Hands-on experience with dbt, particularly in the context of migration or adoption initiatives
  • Exposure to Snowflake or strong interest in working with it as part of a target data architecture
  • Proficiency in Python for scripting, automation, and data pipeline tooling
  • Background in fintech or financial services in any capacity

What you will get in return

  • Competitive compensation
  • A generous paid leave policy, supporting a healthy work–life balance
  • Two additional paid days per year dedicated to volunteering and giving back
  • Private medical insurance for your peace of mind
  • An additional flexible benefits budget, allowing you to tailor benefits to your needs
  • Flexible working mode
  • The opportunity to work from almost anywhere in the world for up to 30 days per year
  • Annual company-wide events held in locations around the globe
  • In-office massages to support wellbeing

Skills Required

  • 4+ years in analytics engineering or similar data-focused roles
  • Advanced PostgreSQL skills with stored procedures and functions
  • Strong understanding of data warehouse architecture
  • Hands-on experience with Apache Airflow
  • Proficiency with Git (GitLab or GitHub) and JIRA
  • Experience designing and evolving data warehouse architecture and models
  • Track record of building robust, maintainable ELT/ETL pipelines
  • Experience implementing automated data quality checks
  • Domain fluency in financial and trading concepts
  • High degree of autonomy in handling systems and pipelines
  • Comfortable using AI-assisted development tools
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: Hartford, CT
18 Employees

What We Do

Capital provides software that enables founders to raise, hold, spend, and send funds all in one place. Capital has evolved its flagship fundraising tool (formerly known as Party Round) to provide founders with banking solutions that streamline their startups.

Similar Jobs

Deepgram Logo Deepgram

Research Staff, LLMs

Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
In-Office or Remote
49 Locations
150 Employees
150K-250K Annually

Toast Logo Toast

Account Executive

Cloud • Fintech • Food • Information Technology • Software • Hospitality
In-Office
Melbourne, Victoria, AUS
5000 Employees

Coursera + Udemy  Logo Coursera + Udemy

Solutions Engineer

Artificial Intelligence • Consumer Web • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
Easy Apply
Hybrid
Melbourne, Victoria, AUS
1500 Employees

HiBob Logo HiBob

Manager, Professional Services

HR Tech • Information Technology • Professional Services • Sales • Software
Remote or Hybrid
Australia
1350 Employees

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account