Scalable GmbH

Financial Services

(Senior)DataEngineer(m/f/x)

€75–105k ~AI est. Berlin, Berlin, Germany FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“(Senior) Data Engineer (m/f/x) at Scalable GmbH. Skills: Data Engineering, AWS, Data Pipelines, SQL. Develop scalable data platform. Develop cloud-based data platform”

Industry & Context.

Financial Services

What They're Looking For.

Must Have

University degree in computer science, Significant experience in data engineering, Hands-on experience designing data pipelines in AWS, Hands-on experience operating data pipelines in AWS, Excellent SQL skills, Advanced knowledge about cloud networking, Advanced knowledge about cloud security, Proficient with Infrastructure as Code, Programming skills in Python, Fluent English communication skills, Fluent English presentation skills

Nice to Have

Experience with dbt, Experience with data streaming technologies, Problem-solving skills, Organizational skills, Interest in financial services, Interest in financial markets

What You'll Do.

Develop scalable data platform

Develop cloud-based data platform

Shape AWS data processing solution

Ingest data from backend services

Ingest data from third parties

Integrate data for regulatory use cases

Empower teams in decision-making

Drive performance optimization

Drive strategic objectives

Prepare structured data

Prepare unstructured data

Clean structured data

Clean unstructured data

Develop data models for reporting

Develop data models for analytics

Develop data models for AI

Design testing components

Design monitoring components

Implement testing components

Implement monitoring components

Collaborate with people

Collaborate with product colleagues

Collaborate with engineering colleagues

Stay up to date with data engineering

Stay up to date with cloud architecture

How You'll Work.

Team & Collaboration

Data engineering tribe; Data platform teams; Analytics teams; Regulatory reporting teams; Growing data teams; Product teams; Engineering teams

Communication Scope

English communication; English presentation

Full Job Description

Scalable Capital is a leading digital investment and banking platform with a full banking licence, empowering people across Europe to shape their own finances. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs, cryptocurrencies, and derivatives, as well as set up savings plans. Scalable Wealth, the digital wealth management service, offers clients professional investment in ETF portfolios, and is also adopted as a white-label solution by banks and other B2B partners. The company’s offerings are rounded off by attractive interest rates, loans, and private equity. With the European Investor Exchange, Scalable Capital offers an exchange specifically for retail investors. Over one million clients have already entrusted more than €30 billion to the platform. Founded in 2014, Scalable Capital now employs over 700 people across Munich, Berlin, Vienna, Milan, and London. Together with the founding and management team, including Erik Podzuweit and Florian Prucker, they are working on a new generation of financial services. Visit our [finance blog](https://de.scalable.capital/blog) or check out our Social Media channels to find out what our Expert Teams have to say. Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values [here](https://de.scalable.capital/values-principles) (English). As a (Senior) Data Engineer in our data engineering tribe spanning over data platform, analytics, and regulatory reporting teams, you play a crucial role in owning our data stack. You will be instrumental in building and maintaining robust data pipelines, making critical data available to various stakeholders throughout the company, and contributing to our data-driven culture. * Develop the scalable, cloud-based data platform essential to our data-driven company, leveraging the most up-to-date data technologies * Shape an AWS-based data processing solution, ingesting data from our inte

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