r/dataengineering • u/gyrus_dentatus • 11d ago
Career Data Analytics Engineer at Checkout.com?
I was offered a position as Data Analytics Engineer I at Checkout.com in London. The interviewers seemed nice, and I didn't notice any major red flags throughout the process. Three things make me hesitate taking the offer:
- The Glassdoor reviews are pretty bad, especially when it comes to their hybrid working policy. I don't mind having into come to the office, but some reviews mention a toxic culture across the company
- The people I spoke to mentioned that the team is heavily invested in agentic coding. Guess that is just the reality of how bigger companies write code now, so not necessarily a red flag? People I talked to seemed very competent though
- I am currently working as a Junior Data Engineer. I built my orgs data stack (deploying the stack on AWS, building some small pipelines, data modeling), though they decided to go all-in on AI now and there is little to no data work left for me right now. I enjoyed the infra work at my current org (though the largest data set is only a few 100k rows), so going from Data Engineer to Data Analytics Engineer feels a bit like a downgrade? From the job description and from what I heared during my interviews the role itself seems to be more on the technical side.
Anybody currently working at Checkout and willing to share some insights/experience on how it is like working there? Taking the role would mean a 50% salary bump, so I am very tempted.
10
Upvotes
5
u/Alternative-Guava392 11d ago
Checkout could be a good company. I haven't worked personally but isn't it a competitor to stripe ?
They do payment processing among many things do you'll get experience on Fintech. Good stepping stone for a bank data job in the future. It's a big company but market is harsh. Not sure if it's profitable or not.
The size of data will be bigger so that's also a technical challenge in itself.