Data Engineer - migrations

Before you start reading, please read this carefully! I've spent a good amount of time thinking about what to write :D

Who we are

Atlas Technologies is an all-in-one platform designed to help recruitment professionals generate 50% more revenue. We’re a greenfield software platform with no legacy code , founded by entrepreneurs with a successful track record of building innovative companies.

We are building the anti-CRM. A customer relationship management tool is a required software to run any business. The problem is that data entry is extremely onerous and these systems are only as useful as the quality of data entry.

We believe that if we know everything that our users say, hear, read and write, a swarm of agents can do all the data entry for them.

Our values are a big part of what we do. You can expect us to honor these principles: Values at Atlas Technologies.

In return, we offer a life-changing equity stake alongside a competitive salary.

Your role

You will build our migration strategy from the ground up. You will use your technical skills in conjunction with AI coding assistants to create a streamlined and high-quality method of moving our incoming clients from their legacy platforms to our platform.

You can anticipate date coming from 10-15 different systems, none of which have been founded in the last decade. As a result we need to migrate older generation data models to our Snowflake style data architecture at scale.

The good news is that with a lot of founder elbow grease and Open AI, we've already created migrate scripts for a good number of platforms but these scripts will need constantly evolution as our competitors (and our own) data models are updated.

• Data Migrations: Design, manage, and optimize complex data migrations,
• Pipeline Development: Develop and maintain ETL/ELT processes using dbt, AWS, and Redshift to efficiently manage and transform large datasets.
• Data Transformation & Modeling: Build a deep understanding of recruitment CRMs (people, projects, companies) so the thought process becomes second nature
• Own the end to end process: Including the injection of the new data into our production environments and supporting customer success to delight the client during this migration
• Documentation & Process Creation: Establish clear, efficient processes for data handling and write documentation for end-to-end pipeline management.

Core Stack: AWS Redshift, dbt, Fivetran, SQL, Python

Who you are

• Migration experience is a plus: You don't have to have done migrations but you need to be at a senior engineer equivalent (you've got a good handle on the basics)
• Intelligent We've concluded that high IQ is necessary for excellent engineering. You will be tested on IQ during our process - if you disagree with this approach, we aren't the best fit for you
• Dislike meetings: You prefer less meetings, with high quality, rapid alignment and then focus time to deliver your tasks.
• You enjoy the unknown: We expect you to be able to hack your way through migrations, gaining an understanding of data models as you go and delivering projects through repeated trial and error (we do not have much documentation as we are a young company)
• Proven Data Engineer: You've been described as hyperproductive
• You want to work harder than average: In return for equity much greater than average

What you'll get

• Competitive Salary: We'll pay around the market rate but supplement this with a huge amount of equity options (the founder has pledged almost 30% of the company to the small team). If there was ever a seven figure exit opportunity, this would be it
• Work with experienced founders An opportunity to help build a business from scratch with founders who’ve done it before.

Location

Our current team is spread across Greece, Italy, and India, and we have a preference for candidates in similar time zones. However, we’re open to other locations if there’s reasonable time zone alignment.

Interview Approach

1. 45-Minute Call with Jordan, Co-Founder: Discuss your experience and the vision for this role.
2. IQ + Competency test (no coding here)
3. 15 minute catch up to ask questions
4. Technical Challenge: A data migration or transformation exercise to demonstrate your technical skills and efficiency with dbt, Redshift, or similar tools.
5. 60-Minute Technical Interview with Pavel, VP of Engineering: An in-depth conversation to evaluate technical expertise and problem-solving.
6. Cultural Interviews: Brief chats with other team members to ensure a strong cultural fit.
7. Offer – Ready to begin the journey with us?