Senior Software Engineer, Data Pipeline

Bloomreach is building the world’s premier agentic platform for personalization .We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey.

• We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses.
• We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey.
• We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do.

And we're building all of that on the intelligence of a single AI engine — Loomi — so that personalization isn't only autonomous…it's also consistent.

From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora.

We want you to join us full-time as a Senior Software Engineer in our Data Pipeline team. We work remotely first (from Central & Eastern Europe) , but we are more than happy to meet you in our nice offices in Bratislava, Brno or Prague . And if you are interested in who will be your engineering manager, check out Adam's Linked In .

Intrigued? Read on …

• You will develop a data pipeline processing a large amount of data reliably and at a high rate using Python, Go, MongoDB, GCP and much more.
• For example, our clients feed their visitors’ behavior through real-time tracking to our platform. The data then can be analyzed and used for marketing automation. We process tens of thousands of requests per second . You may help improve the efficiency of our workers, improve monitoring or help with autoscaling of our infrastructure.
• Imports are critical for our clients to utilize our platform to the fullest. You may help us to improve the throughput and reliability of our imports as we need to import millions of rows of data or help us implement integration with another data storage.
• We also are responsible for exporting data from our platform to Google’s Big Query using google’s Data Flows, PySpark and Apache Beam allowing data access by our clients
• You will help us run and support our services in production handling high-volume traffic using Google Cloud Platform and Kubernetes .
• You will review the code of your peers and they'll review yours. We have high code quality standards and the four-eyes principle is a must!
• You will start on easier, self-contained projects and once you feel at home, you can move to real beasts. Challenging, complex projects that will leave a mark - we have plenty of those .
• Later you might help us by participating in on-call rotation keeping our services up and running .

• You have experience with Python and a solid grasp of engineering practices .
• If you have an experience with Go , that's a big advantage .
• You have experience with ETL pipelines, ingest on a scale, starting from various connectors to SQL and non-SQL sources, followed by data cleanup, sanitization and transformations resulting in loading cleaned-up data into optimise storages for a given use-case
• You know how to behave in a remote-first environment
• You are able to learn and adapt . It'll be handy while exploring new tech, navigating our not-so-small code base, or when iterating on our team processes.

• Python, GO
• Apache Kafka, Kubernetes, Git Lab
• Google Cloud Platform, Data Flow, PySpark, Apache Beam, Big Query, Big Lake Table
• Data Proc, PySpark, Flink,
• Mongo,…