Senior Data Engineer (d/f/m)

at  Taxfix

OUR STORY:

Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We’re working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence.
Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix, Steuerbot and TaxScouts, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we’re rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016.

YOUR CHALLENGE:

We are looking for an experienced Data Engineer to help build the platform and pipelines to provide a compliant, efficient and scalable data environment at Taxfix to power ML, analytics and reporting.
You will work on different projects across the pillars of providing platform services that enable our ML and AI driven product development, enable effective business decisions and analysis and ensure our data is maintained in a secure, compliant and cost efficient manner.
The data engineer role we are looking for is one with strong software engineer skills but at the same time knowledge of modern data technologies including Snowflake, Airflow, Segment.io, Vertex AI/Sagemaker, Kubernetes and Terraform. We are also open to new solutions and skills that will enable our goals and you will play an important role in defining the future of our platform; particularly to ensure it can serve ML and AI powered in product experiences as well as existing reporting and analytics needs.

• You create the platform that makes ingress and egress of data in a fast-paced environment a simple and reliable
• You will be responsible for the data infrastructure and data security in Taxfix
• You will be responsible to research new technologies that will help the team to achieve the mission goals across data management, analytics and machine learning
• You will participate in the data architecture design and decision making process
• You will be integral in establishing team-wide standards: excellent documentation, monitoring & alerting, code quality, unit testing, CI + CD