Data Engineer - Financial Systems
Stockholm, Sweden
Epidemic Sound
Get unlimited access to our catalog of high quality music, sound effects and soundtracking tools. Use them worry-free, worldwide, all rights included.Join our global force of 500+ innovators, blending the latest in tech with the greatest in soundtracking, from our Stockholm HQ to offices in London, New York, Los Angeles, Berlin, Oslo, and Seoul. We’re an industry leader with a startup mentality. We take what we do seriously, but we don’t take ourselves too seriously. Creating and collaborating to transform the sound of streaming, content, and culture. Come join us—and let the world feel your work.
Job Summary:
As a part of the Financial Systems team, you will work together with a team of data engineers to build and maintain an in-house developed system focused on automating record keeping of online sales (subscription and track purchases) and PSP settlement data. Sales and settlement data are automatically ingested from multiple platforms, transformed and then automatically posts aggregated sales revenue on a daily cadence to our ERP system Netsuite. The platform also offers a simplified presentation and analysis of the online sales and settlement data sets in a Dashboard, where the finance team is able to filter, drill down and download data through quick summary reports designed for their convenience. The data is also exported to our DWH for user consumption.
How you will make an impact:
Own, maintain, configure, enhance, deploy and document our financial systems infrastructure, particularly our custom code and integrations.
Explore, discover, analyze, prototype, experiment and measure. Work with stakeholders and management to define systems requirements for new technology implementations, staying abreast of current industry trends.
Review, retrospect and adapt, (re)learn and (re)iterate based on new knowledge and experience. Contribute to well-functioning collective ownership and decision making. Think and build smart, both for now and with the future in mind.
Implement automation to make processes repeatable, scalable, and secure.
Monitor systems and networks for issues and vulnerabilities and investigate security incidents when they occur based on established policies and protocols.
We believe that to succeed in this role, you have experience in some/all:
A university degree in computer science or equivalent experience
At least 5 years of data engineering experience
Interest working with financial data in a business environment.
Experience working with databases, including advanced query usage and DBT/Dataform
It will be an advantage if you have experience working with GCP.
Experience of data processing frameworks such as Spark, Beam, Flink, EMR etc.
Proficiency in scripting & automation languages such as Python, etc and in coding.
Communication, collaboration and facilitation skills and capabilities. Including ability to effectively facilitate information flow and alignment between you and co-workers. You have a track record of working and communicating well with many different kinds of people.
Team player
Curiosity and passionate drive for: continuous improvement, growth mindset, building and delivering great things to serve our users.
Fluency in English: you are an excellent communicator both in speaking and writing
And it’ll be awesome if you also know a bit about:
Payments backends.
NetSuite / ERP systems and automation libraries.
Business intelligence or analytics.
Equal Opportunity Employer
We believe that bringing people together from different backgrounds, experiences and perspectives makes for a healthy workplace, a more successful business and a better world. We value diversity and encourage everyone to come and soundtrack the world with us.
Application
Do you want to be a part of our fantastic team? Please apply, in English, by clicking the link below.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence Computer Science dbt Engineering Finance Flink GCP Python Security Spark Streaming
Perks/benefits: Startup environment
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