Position: Middle/Senior Data Pipeline Engineer
Company: Beetroot
Experience required: 3y
English level: upper

**Join our team as a Data Engineer and make a global impact on healthcare!
As we build automation tooling for our healthcare client, you'll be at the forefront of improving people's health and well-being worldwide. Our solutions directly contribute to this mission, and we take great pride in our work.**

Our client, a global leader in digital marketing platforms, is seeking innovative individuals to build automation tooling that enhances service delivery. As part of our diverse and self-directed teams distributed worldwide, you'll have the opportunity to make a significant impact.
We believe in setting clear goals and prioritizing early delivery and iteration to ensure we create the right solutions. Adaptability is crucial, and we welcome changing directions if needed. Embracing a DevOps culture, we foster a collaborative environment where learning and supporting one another are paramount.
As a Data Engineer, you'll collaborate with various teams, stakeholders, and internal engineers to design and build data pipelines from multiple sources. These pipelines empower data visualization specialists and development teams to generate insightful reports and visualizations, enabling better strategic decision-making.
For instance, you may leverage AWS Step Functions to construct ETL pipelines that load data from external APIs into Redshift tables, enabling our Data Visualization Specialists to create compelling visualizations using Tableau. Alternatively, you might collaborate with engineers to unlock data from internal enterprise systems, facilitating enhanced reporting and automation to support other engineering teams' efficiency.

If you're passionate about leveraging data to drive meaningful insights and want to contribute to the future of healthcare, we invite you to join our team as a Data Engineer. Together, we'll create solutions that have a positive impact on patients' lives.

**What you'll do in this role **

A normal work week consists of a mix of building new data pipelines, fixing data issues, showcasing your work, and planning. We have short weekly planning meetings and provide lots of time to focus without meetings. On a quarterly basis, you’ll also have personal 1-1 meetings with your Line Manager to support your own growth in the team. 
As the team is diverse and distributed, asynchronous collaboration within the team is key. You’ll be supported by a Service Manager with planning and prioritization.
The team take pride in the quality of our work, our delivery practices, breadth of our testing, and the documentation we write.

You’re successful with your responsibilities if you engage and deliver together with the team in a stable and sustainable way. We value predictability and avoid unreasonable deadlines that cause us to rush or cut corners.

**We're looking for**

- 4+ years of experience in Data engineering
- 3+ years of experience with Data modeling
- 3+ years of experience with Data visualisation: primarily Tableau Desktop, Prep and Server
- 3+ years of experience with Systems design: primarily AWS, Lambda, Redshift, Glue, EventBridge
- Experience with Programming/software development: primarily Python 3.8+
- Experience with Testing: primarily pytest and flake8
- Experience with IT infrastructure: primarily Terraform and CloudFormation
- Comfortable with using GitHub
- Kanban delivery – we enjoy working with lean methods
- Upper-intermediate English level

**How to knock our socks off**

- You are open to learning new things
- You love Borsch  

**✔ Not checking every box?**
This job looks very exciting, but you hesitate to apply because of the confidence gap? Reach out to us anyway! Beetroot is an inclusive workplace that considers all applicants. Equality is one of our core values. We're committed to providing equal opportunity and a sense of belonging for all Beetroot consultants and candidates. So let's discover together whether we could be an excellent fit for each other.