Data Engineer for Stravito

Stravito is an enterprise SaaS company on a mission to simplify knowledge discovery. Our company was founded in Sweden in 2017 by a team of serial entrepreneurs with decades of technology and research industry experience and now has 40 team members across Europe and North America.
As a team, we are guided by our operating principles: simplicity first, an “own it, do it” mentality, embracing different perspectives, and enjoying the journey together. Stravito is backed by leading investors henQ, Inventure, Creades, and a long list of business angels.
Today, employees in world-leading organisations such as Electrolux, Comcast, Danone, and Carlsberg use the Stravito platform to quickly access all their company’s market research and insights, helping them to get closer to their customers and make better, insights-backed decisions.


We are looking for a Data Engineer to join our growing team. You will be responsible for evolving our data pipeline architecture, as well as improving the data flow and data collection for cross-functional teams. Since we’re a relatively small company still, you will be instrumental in shaping how we work with data in the future. Your work will be varied, and the common theme is that what you do will be creating a lot of value for the company and our teams.
In our tech team we are all software engineers focusing on different areas. You bring a passion for data and analytics into that mix. You are comfortable with both expanding existing functionality and challenging it (maybe even rebuilding it) when necessary. Overall, you strive to evolve data capabilities and technology to support company goals.
This is your chance to have a big impact in a growing startup where machine learning is at the core of what we do.


Responsibilities
Create and maintain data pipelines and tooling
Design data-intensive applications, such as our machine learning pipelines
Identify areas where we can improve data quality and efficiency
Take ownership of data infrastructure
Build analytics tools that utilize the data pipeline to provide actionable insights into user behavior

Qualifications
Experience using SQL and scripting to work with data in production systems
Experience building data pipelines and data sets, or experience as a software engineer working on backend systems
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Strong analytical skills related to working with unstructured datasets
And most importantly: we love working with data, and so do you


We look forward to hearing from you!