Lightspeed Senior Data Engineer, Datacraft team
Summary
Build and maintain scalable, observable data pipelines on GCP and Kubernetes, ensuring high availability and security for Bloomreach's AI-driven personalization platform.
- 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.
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 EUR 39 600 - EUR 49 530. 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:
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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.
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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.
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We believe in flexible working hours to accommodate your working style.
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We work virtual-first with several Bloomreach Hubs available across three continents.
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We organize company events to experience the global spirit of the company and get excited about what's ahead.
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We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer*.
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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:
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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.
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Our resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges.*
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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.
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Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.)*
Well-being:
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The Employee Assistance Program -- with counselors -- is available for non-work-related challenges.*
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Subscription to Calm - sleep and meditation app.*
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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.
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We facilitate sports, yoga, and meditation opportunities for each other.
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Extended parental leave up to 26 calendar weeks for Primary Caregivers.*
Compensation:
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Restricted Stock Units or Stock Options are granted depending on a team member’s role, seniority, and location.*
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Everyone gets to participate in the company's success through the company performance bonus.*
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We offer an employee referral bonus of up to $3,000!
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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
Skills
- Agentic AI
- AI
- Airflow
- Analytics
- BigQuery
- CI/CD
- Claude Code
- CLI
- Cloud
- Cloud Composer
- Data Engineering
- Data Modeling
- Data Pipelines
- Data Quality
- Data Warehousing
- Databricks
- Dataproc
- dbt
- Delta Lake
- ETL
- Event Driven Architecture
- Flink
- GCP
- GitLab
- Grafana
- Java
- Kafka
- Kubernetes
- Looker
- Looker Studio
- Medallion Architecture
- MongoDB
- Observability
- OpenTelemetry
- PagerDuty
- Prometheus
- Prototyping
- Python
- Redis
- Scala
- Sentry
- Snowflake
- Spark
- SQL
- Terraform
As published by greenhouse · 4 questions
Basics
First Name, Last Name, Email, Phone, Resume/CV, Location
Short answers (1)
- LinkedIn Profile
Pick from a list (3)
- Do you now or in the future require visa sponsorship to continue working in one of the countries where this job is posted?
- Are you currently eligible to work in one of the countries where this job is posted?
- Where did you hear about Bloomreach?