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 LinkedIn. Intrigued? Read on …

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.
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.
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 .

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 .
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.

Our tech stack

Python, GO
Apache Kafka, Kubernetes, GitLab
Google Cloud Platform, DataFlow, PySpark, Apache Beam, BigQuery, BigLake Table
DataProc, PySpark, Flink,
Mongo, Redis
… and much more

Your success story

During the first 30 days, you will get to know the team, the company, and the most important processes. You’ll work on your first tasks. We will help you to get familiar with our codebase and our product.
During the first 90 days, you will participate in your first, more complex projects. You will help the team to find solutions to various problems, break the solution down into smaller tasks and participate in implementation. You will learn how we identify problems, how we prioritize our efforts, and how we deliver value to our customers.
During the first 180 days, you’ll become an integral part of the team. You will achieve the first goals we will set together to help you grow and explore new and interesting things. You will help us to deliver multi-milestone projects bringing great value to our customers. You will help us mitigate your first incidents and eventually even join the on-call rotation. You will get a sense of where the team is heading and you’ll help us to shape our future.
Finally, you’ll find out that our values are truly lived by us . We are dreamers and builders. Join us!

#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.

Base Salary Range

1 296 000 Kč—1 620 000 Kč CZK

More things you’ll like about Bloomreach:

Culture:

A great deal of freedom and trust. At Bloomreach we don’t clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one.
We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We’ve embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication.
We believe in flexible working hours to accommodate your working style.
We work virtual-first with several Bloomreach Hubs available across three continents.
We organize company events to experience the global spirit of the company and get excited about what’s ahead.
We encourage and support our employees to engage in volunteering activities – every Bloomreacher can take 5 paid days off to volunteer*.
The Bloomreach Glassdoor page elaborates on our stellar 4.7/5 rating. The Bloomreach Comparably page Culture score is even higher at 4.9/5

Personal Development:

We have a People Development Program – participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions.
Our resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges.*
Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins.
Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.)*

Well-being:

The Employee Assistance Program — with counselors — is available for non-work-related challenges.*
Subscription to Calm – sleep and meditation app.*
We organize ‘DisConnect’ days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones.
We facilitate sports, yoga, and meditation opportunities for each other.
Extended parental leave up to 26 calendar weeks for Primary Caregivers.*

Compensation:

Restricted Stock Units or Stock Options are granted depending on a team member’s role, seniority, and location.*
Everyone gets to participate in the company’s success through the company performance bonus.*
We offer an employee referral bonus of up to $3,000!
We reward & celebrate work anniversaries — Bloomversaries!*

(*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

Career Guide for Senior Software Engineer at Bloomreach

Job Overview

As a Senior Software Engineer on the Data Pipeline team at Bloomreach, you’ll be responsible for developing and maintaining robust data processing pipelines. This role involves working with high volumes of data, ensuring reliability, and optimizing processes to improve data ingestion and exports. You’ll collaborate with a remote team, primarily within Central and Eastern Europe, while maintaining a flexible work-life balance.

Key Responsibilities

Develop and Maintain Data Pipelines: Create systems to process large amounts of data efficiently.
Real-time Tracking: Work on integrating client data for real-time analysis used for marketing automation.
Improve System Efficiency: Focus on monitoring processes, autoscaling infrastructure, and ensuring data reliability.
Export Data: Implement systems for exporting data to platforms like Google BigQuery using various technologies.
Code Reviews: Participate in peer reviews to maintain high code quality.
On-Call Rotation: Engage with production services to maintain uptime and handle incidents.

Required Skills and Knowledge

Technical Skills

Proficiency in Python.
Familiarity with Go (preferred, but not essential).
Experience with ETL pipelines for large-scale data processing.
Understanding of SQL and NoSQL data sources.

Soft Skills

Ability to adapt and learn new technologies quickly.
Strong communication skills for remote collaboration.
Problem-solving mindset to tackle complex system challenges.

Tools and Technologies

Programming Languages: Python, Go.
Web Technologies: Google Cloud Platform, Apache Kafka, Kubernetes.
Data Processing: DataFlow, PySpark, Apache Beam, BigQuery.
Databases: MongoDB, Redis.

Certifications or Training

Certifications in cloud technologies (e.g., Google Cloud Professional Data Engineer).
Training in data engineering or ETL processes can enhance your candidacy.

Interview Preparation

Common Interview Questions

Can you explain a data pipeline project you’ve worked on?
- Be specific about your role, technologies used, and challenges faced.
How do you ensure code quality in your projects?
- Discuss your approach to code reviews and testing.
What are the key considerations for building scalable ETL processes?
- Mention performance, data validation, and monitoring.
How would you handle a production incident?
- Describe your approach to incident response and root cause analysis.
What is your experience with Kubernetes?
- Share specific examples of deployments or management strategies.
How do you adapt to new technologies?
- Discuss your learning strategies and recent technologies adopted.
Describe your experience with cloud platforms.
- Focus on specific projects and tools utilized.
Can you explain the importance of data reliability?
- Relate it to business impacts and technical strategies.
How do you prioritize tasks in a project?
- Talk about frameworks or personal methodologies you use.
Why do you want to work at Bloomreach?
- Show your interest in their mission and values.

Important Topics to Review

Data processing frameworks and best practices.
Understanding of cloud services and their applications.
Familiarity with agile methodologies.

How to Increase Your Hiring Chances

CV Improvement

Highlight relevant engineering projects and technologies.
Use metrics to showcase your impact (e.g., reduced data processing time by X%).
Tailor your CV to emphasize experiences relevant to the role.

LinkedIn Profile Optimization

Update your profile with keywords related to data engineering and the technologies mentioned.
Share relevant articles or projects to showcase your expertise.
Engage with industry groups and content for visibility.

Portfolio or Project Ideas

Build a small project that demonstrates an ETL process.
Contribute to open-source projects that involve data pipelines.
Create a blog to discuss data engineering topics and challenges.

Learning Recommendations

Courses in data engineering, cloud services, or specific technologies used at Bloomreach.
Stay updated with the latest industry trends through webinars or online platforms.
Join online communities focused on data engineering to network and learn.

Career Growth

Positions such as Lead Software Engineer, Data Engineering Manager, or Architect roles may follow as you gain experience and demonstrate leadership. Continuous learning and adaptability will be key to advancing your career at Bloomreach and in the industry.