Bloomreach

Senior Data Engineer, Datacraft team

Czechia

Open 7 months, first seen by us 228 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full Time (HC)
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Open 7 monthsWe first saw this posting 228 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Mar 21, 2026228 days ago
Recorded sightings: 253
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 228

Up longer than most. Similar jobs usually come down between day 6 and day 54.

From 10,845 similar postings that came down. Coming down is not always a hire.

Bloomreach is hiring

8 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Java
Python
Scala
SQL
BigQuery
Databricks
dbt
Delta Lake
GCP
Google Cloud Storage
Grafana
Iceberg
Kafka
Kubernetes
Looker
Redis
Snowflake
Spark
Terraform
Airflow
Go

Where the posting names them

Our tech stack Python, Go, Kafka, Databricks, Airflow, Flink (Java), GCP, Mongo, Redis, Airflow, DataProc, Spark, Apache Flink, Databricks, Kubernetes, Terraform, Grafana, Prometheus, PagerDuty, Sentry, OpenTelemetry, GitLab CI/CD, Claude Code Your success story

- Familiarity with open table formats (Iceberg preferred, Delta Lake / Hudi acceptable) and how they interact with query engines and DWH platforms. - Strong programming skills in Python (preferred); Scala/Java/Go also relevant. - Good understanding of data quality, lineage, and observability (monitoring SLAs/SLOs, detecting missing/late loads, backfilling strategies).

Professional experience - Solid data engineering background with strong SQL and data modeling skills (star/snowflake schemas, slowly changing dimensions, partitioning/clustering, etc.). - Hands-on experience building production-grade data pipelines on Databricks and GCP, ideally involving Flink, Iceberg, Spark on DataProc.

Become a Senior Data Engineer for Bloomreach! Join our newly formed Datacraft team — the team building the next-generation data platform that powers internal Databricks, the Loomi Marketing Agent with Data Insights capability for Bloomreach Marketing platform. Your engineering work will directly impact how hundreds of enterprise customers access, understand, and activate their Bloomreach data internally and with data share in Databricks and BigQuery. The base salary range for this position at the P3 / Senior Software Engineer level is CZK 1 300 000 - CZK 1 600 000. 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. Working in one of our Central European offices (Bratislava, Brno or Prague) or from home on a full-time basis, you'll become a core part of the Engineering team.

- Background in marketing analytics, CDPs, or BI/semantic layers (Looker, dbt, Cube). - Experience with Snowflake or Databricks or BigQuery. - Experience with spec driven development, knowledge graphs, agentic harnesses or AI-powered analytics

You will join the Datacraft team as one of its founding engineers. Datacraft is a new team in the Engagement pillar, established to tackle three interconnected domains: - Data Warehouses (~60% of team domain) — making Bloomreach data first-class in customer Databricks. The strategic goal for 27 is to use Databricks to exponentially accelerate data adoption — both for customers who want their data outside Bloomreach and for Bloomreach itself to build analytics faster. - Dashboards & Analytics Stack (~20%) — moving Marketing reporting and dashboarding from the proprietary stack onto Databrick.

Your job will be to: - a. Build the Databricks data platform — Design data pipelines (Kafka → Flink -> GCS Iceberg → Databricks) following medallion architecture using Databricks notebooks and Spark Declarative Pipeline. Own data models and ETL mutations for ID resolution and consent semantics. Maintain orchestration (Airflow / Cloud Composer) and monitoring. - b. Co-build dashboards & analytics stack — Design canonical metrics and models on Databricks, support semantic layers and BI tools (Cube, Looker Studio), ensure tight Marketing Agent (Insights skill) integration.

- a. Build the Databricks data platform — Design data pipelines (Kafka → Flink -> GCS Iceberg → Databricks) following medallion architecture using Databricks notebooks and Spark Declarative Pipeline. Own data models and ETL mutations for ID resolution and consent semantics. Maintain orchestration (Airflow / Cloud Composer) and monitoring. - b. Co-build dashboards & analytics stack — Design canonical metrics and models on Databricks, support semantic layers and BI tools (Cube, Looker Studio), ensure tight Marketing Agent (Insights skill) integration. Our tech stack

Your success story 30 Days: Understand the Datacraft domain, complete onboarding, set up your dev environment, and get oriented on Databricks architecture and Marketing Agent. 90 Days: Ship your first pipeline, data model, or orchestration improvement to production. Join architecture discussions and the on-call rotation.

- Solid data engineering background with strong SQL and data modeling skills (star/snowflake schemas, slowly changing dimensions, partitioning/clustering, etc.). - Hands-on experience building production-grade data pipelines on Databricks and GCP, ideally involving Flink, Iceberg, Spark on DataProc. - Experience with orchestration and workflow tools — specifically Airflow / Cloud Composer — and comfort working with DAG-based systems for scheduled and event-driven jobs.

Strongly preferred - Background in marketing analytics, CDPs, or BI/semantic layers (Looker, dbt, Cube). - Experience with Snowflake or Databricks or BigQuery.

- Experience with orchestration and workflow tools — specifically Airflow / Cloud Composer — and comfort working with DAG-based systems for scheduled and event-driven jobs. - Familiarity with open table formats (Iceberg preferred, Delta Lake / Hudi acceptable) and how they interact with query engines and DWH platforms. - Strong programming skills in Python (preferred); Scala/Java/Go also relevant.

- Hands-on experience building production-grade data pipelines on Databricks and GCP, ideally involving Flink, Iceberg, Spark on DataProc. - Experience with orchestration and workflow tools — specifically Airflow / Cloud Composer — and comfort working with DAG-based systems for scheduled and event-driven jobs. - Familiarity with open table formats (Iceberg preferred, Delta Lake / Hudi acceptable) and how they interact with query engines and DWH platforms.

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Has Bloomreach posted this job before?

Yes. We’ve followed one other Senior Data Engineer, Datacraft team job there since March 2026. It is still up.

Place not statedStill up after 229 days, first seen Mar 21
This jobUp 229 days so far, first seen Mar 21

About the role

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.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

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.

Become a Senior Data Engineer for Bloomreach!

Join our newly formed Datacraft team — the team building the next-generation data platform that powers internal Databricks, the Loomi Marketing Agent with Data Insights capability for Bloomreach Marketing platform. Your engineering work will directly impact how hundreds of enterprise customers access, understand, and activate their Bloomreach data internally and with data share in Databricks and BigQuery.

The base salary range for this position at the P3 / Senior Software Engineer level is CZK 1 300 000 - CZK 1 600 000. 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. Working in one of our Central European offices (Bratislava, Brno or Prague) or from home on a full-time basis, you'll become a core part of the Engineering team.

What challenge awaits you?

You will join the Datacraft team as one of its founding engineers. Datacraft is a new team in the Engagement pillar, established to tackle three interconnected domains:

Data Warehouses (~60% of team domain) — making Bloomreach data first-class in customer Databricks. The strategic goal for 27 is to use Databricks to exponentially accelerate data adoption — both for customers who want their data outside Bloomreach and for Bloomreach itself to build analytics faster.
Dashboards & Analytics Stack (~20%) — moving Marketing reporting and dashboarding from the proprietary stack onto Databrick.

Datacraft is an AI-first team. We believe code is a commodity and expect every engineer to fluently use coding agents (e.g., Cursor, Claude Code, Copilot, Gemini CLI) as a core part of their daily workflow. The ability to leverage AI tooling to accelerate development, prototyping, and problem-solving is not optional — it's foundational. We rely heavily on knowledge graphs and spec driven development.

As a P3 (Senior) engineer at Bloomreach you are an independent professional — expert in at least one component, able to decompose objectives into tasks, and lead small projects end-to-end with minimal day-to-day guidance.

Your job will be to:

a. Build the Databricks data platform — Design data pipelines (Kafka → Flink -> GCS Iceberg → Databricks) following medallion architecture using Databricks notebooks and Spark Declarative Pipeline. Own data models and ETL mutations for ID resolution and consent semantics. Maintain orchestration (Airflow / Cloud Composer) and monitoring.
b. Co-build dashboards & analytics stack — Design canonical metrics and models on Databricks, support semantic layers and BI tools (Cube, Looker Studio), ensure tight Marketing Agent (Insights skill) integration.

Our tech stack

Python, Go, Kafka, Databricks, Airflow, Flink (Java), GCP, Mongo, Redis, Airflow, DataProc, Spark, Apache Flink, Databricks, Kubernetes, Terraform, Grafana, Prometheus, PagerDuty, Sentry, OpenTelemetry, GitLab CI/CD, Claude Code

Your success story

30 Days: Understand the Datacraft domain, complete onboarding, set up your dev environment, and get oriented on Databricks architecture and Marketing Agent.

90 Days: Ship your first pipeline, data model, or orchestration improvement to production. Join architecture discussions and the on-call rotation.

180 Days: Own a component end-to-end. Make informed trade-off decisions independently. Contribute to measurable team goals.

You have the following experience and qualities:

Professional experience

Solid data engineering background with strong SQL and data modeling skills (star/snowflake schemas, slowly changing dimensions, partitioning/clustering, etc.).
Hands-on experience building production-grade data pipelines on Databricks and GCP, ideally involving Flink, Iceberg, Spark on DataProc.
Experience with orchestration and workflow tools — specifically Airflow / Cloud Composer — and comfort working with DAG-based systems for scheduled and event-driven jobs.
Familiarity with open table formats (Iceberg preferred, Delta Lake / Hudi acceptable) and how they interact with query engines and DWH platforms.
Strong programming skills in Python (preferred); Scala/Java/Go also relevant.
Good understanding of data quality, lineage, and observability (monitoring SLAs/SLOs, detecting missing/late loads, backfilling strategies).
Ability to work across product and engineering teams, turning fuzzy problem statements into incremental, shippable slices.

Strongly preferred

Background in marketing analytics, CDPs, or BI/semantic layers (Looker, dbt, Cube).
Experience with Snowflake or Databricks or BigQuery.
Experience with spec driven development, knowledge graphs, agentic harnesses or AI-powered analytics

Personal qualities

Ownership & accountability · Sharp and Product thinking · Clear communication · Bias for reliability · Continuous improvement mindset · Comfortable remote-first in Central Europe.

#LI-KP1

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

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