Data Engineer, Taktile

Team Optimize

Salary not provided

Offers equity

SQL

AWS

Python

Athena

Parquet

REST API

FastAPI

Senior and Expert level

Berlin

Decision platform for banks and fintechs

Be an early applicant

Decision platform for banks and fintechs

101-200 employees

FintechCredit ScoringB2BArtificial IntelligenceEnterpriseBig dataMachine LearningFinancial ServicesSaaSCloud Computing

Be an early applicant

Salary not provided

Offers equity

SQL

AWS

Python

Athena

Parquet

REST API

FastAPI

Senior and Expert level

Berlin

101-200 employees

FintechCredit ScoringB2BArtificial IntelligenceEnterpriseBig dataMachine LearningFinancial ServicesSaaSCloud Computing

Company mission

To empower decision makers worldwide to make smarter and safer decisions at scale.

Job

Company

Role

Who you are

Minimum of 5 years of experience in Python and SQL
Prior experience in Data Engineering/Data Viz/Machine Learning or Artificial Intelligence
Fluency in English, both written and spoken, is crucial to lead communication in our globally distributed environment

Desirable

Experience in Iceberg/Athena
Experience in Python, FastAPI
Expertise in data engineering topics, SQL, parquet
Experience with AWS services and serverless architectures

What the job involves

Join our Optimization team at Taktile as a Data Engineer. You will build isolated, scalable data warehouse infrastructure for finance teams on AWS using Iceberg/Athena/Jupyter/Parquet
Support operational, ML/AI and visualizations tools to help customers derive value from their data
Your contributions will directly enhance our automated decisioning platform, allowing users to improve financial decision policies at scale through the use of production data
Build and maintain isolated, regionalized data warehouse infrastructure for use in customer facing features
Develop data tools for improving policy performance, such as training ML models on historical data and backtesting at scale
Design and develop scalable and network optimized RESTful APIs using Python on AWS, leveraging services such as Lambda, S3, SQL and Parquet
Optimize data warehouse efficiency, conduct peer code reviews, and produce technical documentation
Collaborate with cross-functional teams in an Agile environment to translate business requirements into technical solutions

Our take

Taktile’s goal is to enable financial services enterprises to adopt machine learning (ML) technology and deliver ML applications. Whilst ML may seem old news, these businesses have been slow to adopt it due to a shortage of expertise, IT resources and regulatory freedom.

This means that the wealth of data at their fingertips tends to go underutilised. With Taktile, these organisations can easily deploy, maintain, and monitor ML applications on a single platform, finally putting crucial ML tools in the hands of enterprise level businesses.

Taktile has inspired impressive confidence in some high-profile backers, including Y Combinator, and the founders of industry behemoths like Datadog and Github. With platforms like Taktile's playing a facilitating role in the AI revolution of financial services, the road ahead should provide ample opportunity for innovation and growth.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

103% employee growth in 12 months

Glassdoor (4.2)

Company

Funding (last 2 of 3 rounds)

Feb 2025

$54m

SERIES B

Nov 2022

$20m

SERIES A

Total funding: $78.7m

Company benefits

Get access to a self-development budget that you can use to e.g. attend conferences, buy books or take classes
Join us onsite in our inspiring office spaces in Berlin, NY, or London and travel to quarterly team meetings around the world
Make an impact and meaningfully shape an early-stage company by creating new opportunities
Experience a truly flat hierarchy. Interact with and learn directly from founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo
Get to know and learn from experienced mentors such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath
Use the equipment of your choice including meaningful home office set-up
Benefit from an onboarding and training path supported by best-in-class coaches to become a true expert in your field

Company HQ

Battery Park City, New York, NY

Leadership

Maximilian Eber

(Co-Founder & CPTO)

With a PhD in Philosophy from Harvard University, they went on to work in Machine Learning and Causal Inference at QuantCo.

Maik Taro Wehmeyer

(Co-Founder & CEO)

Member of the European Commission European AI Alliance, and Founding Member at KI Bundesverband. Was previously a Machine Learning Engineer at QuantCo and Research Associate at Harvard Business School.

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