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Develop a data pipeline that processes large volumes of data reliably and at high rate
Improve throughput and reliability of client data imports
Export data from the platform to Google BigQuery using Dataflow, PySpark and Apache Beam
Help run and support production services on Google Cloud Platform and Kubernetes
Review peers' code and have your own code reviewed
develop a data pipeline processing a large amount of data reliably and at a high rate
improve the throughput and reliability of our imports
exporting data from our platform to Google’s BigQuery using google’s DataFlows, PySpark and Apache Beam
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.
You have experience with Python and a solid grasp of engineering practices
You have experience with ETL pipelines, ingest on a scale
You know how to behave in a remote-first environment
You are able to learn and adapt
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Day 20
Similar jobs usually come down between day 6 and day 54.
From 10,805 similar postings that came down. Coming down is not always a hire.
8 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Your responsibilities - 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.
Your qualifications - You have experience with Python and a solid grasp of engineering practices 🔧. - If you have an experience with Go, that's a big advantage 💪.
Our tech stack - Python, GO - Apache Kafka, Kubernetes, GitLab
- 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
- 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 BigQuery using google’s DataFlows, 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.
- Apache Kafka, Kubernetes, GitLab - Google Cloud Platform, DataFlow, PySpark, Apache Beam, BigQuery, BigLake Table - DataProc, PySpark, Flink,
- We also are responsible for exporting data from our platform to Google’s BigQuery using google’s DataFlows, 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!
- Python, GO - Apache Kafka, Kubernetes, GitLab - Google Cloud Platform, DataFlow, PySpark, Apache Beam, BigQuery, BigLake Table
- DataProc, PySpark, Flink, - Mongo, Redis - … and much more 🙂
- Google Cloud Platform, DataFlow, PySpark, Apache Beam, BigQuery, BigLake Table - DataProc, PySpark, Flink, - Mongo, Redis
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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 LinkedIn. Intrigued? Read on 🙂…
#LI-KP1
The pay range actually offered will take into account a variety of potential factors considered in compensation, including but not limited to skills, qualifications, geographic location, accomplishments, experience, credentials, internal equity and business needs, and may vary from the range listed above.
(*Subject to employment type. Interns are exempt from marked benefits, usually for the first 6 months.)
Excited? Join us and transform the future of commerce experiences!
If this position doesn't suit you, but you know someone who might be a great fit, share it - we will be very grateful!
Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Bloomreach are considered property of Bloomreach and are not subject to payment of agency fees.
#LI-Remote
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Czechia
- 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.
Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Bloomreach are considered property of Bloomreach and are not subject to payment of agency fees. #LI-Remote
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