The role 

The Data Engineering team is responsible for building and maintaining robust data infrastructure that powers analytics, and business intelligence across Nebius. We design and implement scalable data pipelines, optimize data storage and processing, and enable data-driven decision making across the organization. The team works closely with product teams and business stakeholders to ensure alignment with company goals.We are looking for a Data Engineer to design, build, and maintain our data infrastructure and pipelines. You will work on processing large-scale datasets, optimizing data workflows, and enabling analytics capabilities that support our rapidly growing cloud platform.

Your responsibilities: 

• Design, develop, and maintain scalable data pipelines.
• Build and optimize data infrastructure.
• Implement data quality monitoring and validation frameworks.
• Optimize data storage, processing, and query performance for large-scale datasets.
• Design and implement data models for analytics and reporting use cases.
• Develop tools and automation to improve data engineering workflows and productivity.
• Ensure data governance, security, and compliance standards are met.
• Participate in on-call rotation to support production data systems.

Must-haves: 

• 3+ years of experience in data engineering or related roles.
• Experience building and maintaining data pipelines using orchestration tools (e.g., Airflow, Prefect, Dagster).
• Strong proficiency in SQL and solid programming skills in Python.
• Experience with distributed data processing frameworks (e.g., Apache Spark, or similar).
• Knowledge of data modeling principles and best practices.
• Understanding of data architectures and storage systems.

Nice-to-haves: 

• Experience with real-time data streaming platforms.
• Familiarity with Infrastructure as Code tools (Terraform, etc).
• Experience with containerization (Docker) and Kubernetes.
• Knowledge of data governance and privacy frameworks (GDPR, SOC2).
• Knowledge of data quality and observability tools (Great Expectations, etc.).

We conduct coding interviews as part of the process.

The role

We’re looking for a Software Engineer with strong C++ expertise to join the team building and operating Nebius Data Platform — a distributed storage and a processing platform that acts as the company’s “source of truth” and the backbone of many internal (and some external) products.

Nebius Data Platform is a single multi-tenant ecosystem based on YTsaurus — instead of running separate HDFS/Kafka/HBase-style systems, we provide storage, compute, and analytics capabilities inside one platform.

Built on top of the open-source YTsaurus ecosystem, we run and extend our own Nebius distribution and develop significant in-house functionality (core and platform-level). We can design, implement, and roll out features end-to-end on our clusters without waiting for upstream approvals and contribute upstream when it makes sense.

At scale today, this includes~500 servers, ~20k CPU cores and ~10 PB of compressed data in our largest production cluster, supporting workloads ranging from business-critical pipelines and financial transactions to large-scale ML/LLM training datasets and compute.

What’s inside the platform

You’ll work on a system that includes (and ties together):

• Distributed Storage (Cypress): transactional semantics, tiered storage, erasure coding, replication, and strong reliability expectations.
• Compute & ETL: a cluster-wide job scheduler (tens of thousands of cores), MapReduce, YQL for SQL-like data processing, and SPYT (Spark over YTsaurus) for modern data engineering.
• Interactive analytics (CHYT): ClickHouse® instances spun up directly on compute nodes for fast SQL over data in-place.
• Dynamic Tables: low-latency NoSQL KV with distributed ACID transactions for OLTP-style workloads and feature stores.
• Orchestracto: workflow orchestration deeply integrated with the platform (Airflow-like, but platform-native).

What you’ll do

We’re looking for engineers who combine strong systems skills with product sense: understanding who uses the platform, why certain capabilities matter, and making pragmatic trade-offs to maximize impact. On our team, engineering work is expected to be connected to real users and outcomes — you’ll regularly align with internal stakeholders, clarify requirements, and help drive prioritization.

In this role, you will:

• Design and implement new functionality in YTsaurus core (C++) with production reliability in mind.
• Build and evolve platform-level capabilities: platform architecture and operating model—multi-cluster growth, shared primitives, and a consistent experience that scales with new teams and use cases.
• Improve end-to-end platform experience for internal (and external-facing) users: APIs, guardrails, debugging workflows, and automation.
• Own production quality: incident response / on-call rotation, root cause analysis, and turning learnings into durable fixes.

Example projects

• Roll out sharded YTsaurus masters (incl. Kubernetes operator support) and build automatic balancing of metadata across master cells (consensus groups) to remove control-plane bottlenecks and unlock 10–100x cluster growth.
• Make CHYT interactive SQL faster and more predictable at high load via performance work like data-skipping / min-max-style indexes and improved execution introspection.
• Turn Orchestracto into a platform product by defining the building blocks, developer experience, and governance for how teams create and share workflows.
• Scale and harden Parquet-on-S3 for native YTsaurus workloads by tackling replication/movement, consistent lifecycle semantics, and master-server metadata optimizations for performance and reliability.
• Design and ship complete, trustworthy audit trails for data changes (who/what/when) across heterogeneous storage and compute paths.

Tech stack

• Core: modern C++ (C++20, async + multithreaded primitives)
• Services & tooling: Go and Python (microservices, utilities, integration tests)

What we expect

• 5+ years of software engineering experience.
• Strong C++ skills (you’ll write core code).
• Working knowledge of Python and/or Go (you don’t have to be expert, but should be comfortable navigating them).
• Experience developing and/or operating high-load, distributed services.
• Production mindset: ability to use SSH, read logs/metrics/traces, and debug distributed systems behavior.
• Solid CS fundamentals: algorithms, data structures, concurrency basics.

Nice to have

• Experience with Big Data systems (YTsaurus/Hadoop/Spark/ClickHouse/Kafka-like ecosystems).
• Experience with multi-tenant platforms, schedulers, resource isolation, quotas, and reliability engineering.
• Strong performance engineering skills (profiling, lock contention, latency/throughput tradeoffs).

We conduct coding interviews as part of the process.

About Emplifi

Emplifi is a leading AI-powered social media marketing and customer experience platform, empowering brands to deliver meaningful, connected experiences across digital channels. Recognized as a Leader by renowned analysts and celebrated as a customer favorite, Emplifi provides innovative, data-driven insights and AI-powered tools to help brands optimize social media performance, elevate their influencer marketing strategies, and deliver impactful customer engagement across marketing, commerce, and care.

About the Reporting and Analytics Team

We're a group of enthusiastic business analysts, data analysts and engineers, and Salesforce developers. We also have a team consisting of developers taking care of our SaaS toolsets. People matter the most. We try to create a culture where people feel productive and creative, can learn and grow, and every voice is heard. 

Projects run on agile methodology, and we tackle interesting problems from anomaly detection, to optimal product setup, retention prediction to analyzing macro market trends using gigabytes of data. Our stack consists of Python, SQL, Tableau, Apache Spark, AWS S3, and PostgreSQL. While code quality matters, what defines us is our ability to combine strong technical solutions with a sharp business mindset.

About the Role

We’re looking for a Senior Business Analyst to be a key driver in our Business Intelligence (BI) function. In this standalone role within our analytics unit, you will serve as a trusted advisor to stakeholders across departments—turning data into actionable insights that guide strategic decisions and optimize performance.

You’ll work closely with our BI Architect (who handles data governance and warehouse ETLs) and use tools like Tableau and PostgreSQL to create meaningful dashboards and data products. You’ll also bring the drive to explore Agentic BI and AI-driven BI self-service. This role is perfect for someone who thrives independently, enjoys working in a collaborative environment, and brings a proactive, consultancy mindset to problem-solving.

What You'll Do Here

• Collaborate with internal stakeholders to explore use cases, uncover opportunities, and provide recommendations
• Lead analysis initiatives to identify trends, gaps, and growth areas—supporting business expansion and strategic planning
• Design and build optimized data models and visualizations in Tableau that empower teams to make informed decisions
• Utilize the latest Tableau Cloud and Salesforce capabilities, including Tableau Next, to deliver and explore AI-powered, real-time insights
• Drive initiatives to further enable BI at Emplifi through AI
• Translate business requirements into clear data solutions and ensure high-quality execution across dashboards and reports
• Own project management responsibilities, including communication, timelines, and expectation-setting
• Provide data consultancy and training to non-technical stakeholders, enhancing data literacy across the organization

What You’ll Bring To Us

• 3+ years of experience in data analytics, BI reporting, or related fields
• Proven expertise in SQL and a strong understanding of relational databases
• Hands-on experience building complex dashboards in Tableau (or similar BI tools)
• Ability to navigate ambiguity, quickly understand business needs, and translate them into data solutions
• Excellent communication and presentation skills with experience supporting cross-functional stakeholders
• Proactive, self-driven mindset with a consultancy approach to internal partnerships
• Demonstrated curiosity and experience in leveraging AI to improve efficiency and/or scale analytics
• Experience with agile methodologies
• Fluency in English and experience working in global/multicultural environments

What We Offer

• International and fast-paced environment
• Chance to work with the world’s biggest brands at the CX tech leader
• Agile and open-minded culture, with high levels of trust and flexibility 
• Opportunity for professional growth and development 
• Possibility to learn new and cutting-edge technologies, in an environment that encourages new ideas
• Flexible working environment
• Unlimited Paid Time Off
• Sick Days & Community Service Days
• Multisport card
• Maternity and Parental Benefit
• Possibility to work from offices in Prague (Karlin), Brno (Impact Hub), Pilsen (Roudná)
• There’s more as well! Speak with us to find out all the details!

At Emplifi, we are committed to creating a workplace where everyone is valued, respected, and empowered to bring their whole selves to work. We welcome applications from individuals of all ages, races, religions, genders, sexual orientations, gender identities, and LGBTQ+ communities.

Emplifi offers a safe, inclusive, and supportive environment where every employee has the opportunity to thrive and is encouraged to be who they are.

We welcome and encourage applicants with disabilities. Accommodations are available upon request at any stage of the recruitment process.

About Emplifi

Emplifi is a leading AI-powered social media marketing and customer experience platform, empowering brands to deliver meaningful, connected experiences across digital channels. Recognized as a Leader by renowned analysts and celebrated as a customer favorite, Emplifi provides innovative, data-driven insights and AI-powered tools to help brands optimize social media performance, elevate their influencer marketing strategies, and deliver impactful customer engagement across marketing, commerce, and care.

About the Reporting and Analytics Team

We're a group of enthusiastic business analysts, data analysts, engineers, and Salesforce developers. We also have a team consisting of developers taking care of our SaaS toolsets. People matter the most. We try to create a culture where people feel productive and creative, can learn and grow, and every voice is heard. 

Projects run on agile methodology, and we tackle interesting problems from anomaly detection, to optimal product setup, retention prediction to analyzing macro market trends using gigabytes of data. Our stack consists of Python, SQL, Tableau, Apache Spark, AWS S3, and PostgreSQL. We also manage Salesforce (both marketing and sales processes).  While code quality matters, what defines us is our ability to combine strong technical solutions with a sharp business mindset.

About the Role

At Emplifi, data is more than numbers—it’s insight, innovation, and impact. As our Data Analyst, you’ll be at the forefront of shaping business and product decisions across the organization. We are looking for someone with natural curiosity, strong independence, and a deep sense of accountability—someone who thrives on discovering the "why" behind the data and who is motivated to deliver meaningful outcomes. You’ll uncover trends in the social media landscape that feed into global publications, deliver actionable insights that power our strategy, and support client success through fast, accurate data exports.

In this dynamic role, you'll also support Sales enablement and pipeline building, while mastering powerful technologies like Python, Databricks, PySpark, S3, and Airflow. You’ll work with terabytes of data in our evolving Data Lake, all within a collaborative and flexible Agile (SCRUM) environment where experimentation is encouraged and learning never stops.

What you'll Do Here

On-Demand Insights

• Support cross-functional stakeholders—including Management, Marketing, Sales, and Product—with timely, high-impact analyses
• Extract insights from large datasets (like TikTok usage) to inform business strategies and delight clients through ad-hoc data exports

Autonomous Insight Generation

• Work independently to define questions, mine data, perform analyses, and present actionable recommendations
• Take initiative to identify new opportunities where data can drive value

Automated Reporting Pipelines

• Build robust, automated ETL processes for recurring reports and dashboards
• Deliver standardized, visually compelling data products that are reliable and ready to use

Go Beyond Analytics

• Tackle complex challenges that blend analytics and data science - like improving product stickiness or identifying risk patterns
• Use tools like ChatGPT and LLMs to enrich data and streamline analysis for internal teams

What You’ll Bring To Us

Must Have Skills

• Advanced skills in Python, especially with libraries like Pandas and NumPy for report automation
• Proficiency in SQL and confident navigating large datasets
• Solid foundation in statistics, including descriptive and inferential techniques (e.g., bootstrapping)
• Fluency in English (spoken & written), with the ability to collaborate across teams and communicate technical insights to non-technical audiences
• A proactive, solution-oriented mindset - you seek out automation opportunities and innovate with emerging tools
• Ability to manage priorities and meet deadlines in a fast-paced Agile environment
• Strong sense of ownership and accountability - you own your outcomes

Your Work Style

• You actively participate in Agile ceremonies and contribute to our SCRUM culture
• You use JIRA for tracking, GIT for versioning, and follow clean, consistent code practices
• You help set the standard for data quality and scalability
• You choose the right tools and tech for each data challenge and are accountable for your deliverables

Additional Tools

• Experience with APIs and PySpark is a plus
• Familiarity with basic Machine Learning concepts such as regression, classification, and clustering
• Experience with Git/GitHub for version control
• Willingness to learn tools like Airflow, Databricks, or Grafana

What We Offer

• International and fast-paced environment
• Chance to work with the world’s biggest brands at the CX tech leader
• Agile and open-minded culture, with high levels of trust and flexibility
• Opportunity for professional growth and development 
• Possibility to learn new and cutting-edge technologies, in an environment that encourages new ideas
• Flexible working environment
• Unlimited Paid Time Off
• Sick Days & Community Service Days
• Multisport card
• Maternity and Parental Benefit
• Possibility to work from offices in Prague (Karlín), Brno (Impact Hub), Pilsen (Roudná)
• There’s more as well! Speak with us to find out all the details!

As a Senior Data Engineer, you will play a vital role in designing, building, and maintaining the data infrastructure that powers our cyber threat detection research. This infrastructure will enable data scientists and security researchers to make sense of petabytes of data and uncover the threats that matter. You will collaborate closely with cross-functional teams across the company — data scientists, security researchers, product managers, and engineers — to deliver innovative data solutions that help us build best-in-class threat detection and protect our customers.

What will you do?

Primary responsibilities include:

• Design, build, and maintain scalable data pipelines that process petabytes of security data.
• Develop production-grade pipelines, applying software engineering best practices.
• Operate big data infrastructure and cloud data warehouses with a focus on reliability and performance.
• Partner with data scientists and security researchers to deliver impactful data solutions.
• Ensure data quality, observability, and governance across the platform.

Ideal candidates will have:

• 4+ years of experience in data engineering, data architecture, and distributed systems
• Proficiency in programming languages such as Python (that we use), Java, Scala, or similar.
• Experience with cloud-based technologies such as AWS (our primary), GCP or Azure.
• Experience with deploying big data technologies such as Apache Spark, Hadoop, Hive, IceBerg, Trino.
• Familiarity with data warehousing concepts and technologies.
• Experience with data visualization tools such as Tableau, PowerBI, Grafana or similar.
• Strong problem-solving skills, with the ability to develop innovative solutions to complex problems.
• Excellent communication skills, with the ability to clearly present and explain complex data and models to technical and non-technical stakeholders.
• BS or higher degree in Computer Science, Statistics, Mathematics, or related field. Additional or directly relevant experience will be considered in lieu of a degree.
• Experience in leading cross-functional projects between R&D and product teams.

Why SentinelOne? 

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Enjoy flexible hybrid work in Prague (Karlin), Brno (Clubco), or remotely across CZ/SK. Only Prague-based employees are required to work from the office at least two days per week.
• Stock & Bonuses: Grant of Restricted Stock Units with a 4-year vesting plan, annual performance-based bonuses, and an employee stock purchase plan.
• Time Off & Well-being: Flexible Time Off, on top of the standard 5 weeks vacation, flexible paid sick days, fully paid Short Term Sick/Nursing Leave, 16-week parental leave, grandparent leave, and additional company holidays.
• Insurance & Health: Pension Insurance Contribution, Premium life insurance, Private medical care (for you and +1), and a Global Employee Assistance Program.
• Work Perks: Monthly meal and well-being allowance, high-end MacBook/Windows laptop, work-from-home support, and in-office refreshments.
• Growth & Community: LinkedIn Learning, internal mentoring, educational support, generous referral bonuses, and optional company events (sports, BBQs, charity).

Be part of an inclusive, innovative workplace that values belonging, flexibility, and growth!

As a Senior ML Engineer you will join our Static AI team which develops state-of-the-art ML models that operate on millions of machines worldwide, making sub-second decisions to stop malware before it runs. We bring together cross-functional skill sets, including data science, ML engineering, and software engineering, to research, develop, ship, and support ML malware detection engines across Windows, Mac, and Linux machines and cloud environments.

What Will You Do?

Primary responsibilities include: 

• Data pipeline architecture: Design, build, and maintain scalable data pipelines to handle millions of data points from internal and external sources
• ML infrastructure: Develop and optimize the infrastructure required for training, evaluating, and deploying ML models at scale
• Cross-functional Collaboration: Work closely with Data Scientists and Software Engineers to translate research into production-ready detection engines
• System optimization: Build and improve analytics systems that learn from a wide variety of data sources to enhance our existing ML models
• Production support: Ensure the reliability and performance of ML malware detection engines across Windows, Mac, Linux, and cloud environments
• "Production experience" - good level of coding, tests, dealing with CI
• You will also be encouraged to write white papers, blogs, and articles or present in meetups / conferences (but only if you wish to)

What Skills and Knowledge Will You Bring?

Ideal candidates will have: 

• Degree in Computer Science or Mathematics, or equivalent experience
• Experience with collecting and building large datasets for training machine learning models
• Producing, deploying and running ML in production environments
• Experience working with Big data technologies, such as Spark/Databricks, Hadoop, and others 
• Ability to work collaboratively to translate business requirements into technical solutions
• Willingness and ability to work in a diverse, globally distributed team
• The ability to work on difficult problems independently
• Strong communication skills. Our team relies on strong communication, since we have a diverse and sometimes exclusive set of skills, yet our end product relies on all team members. Thus, we need our team members to be able to communicate with people outside our team (with a wide range of backgrounds/positions, product/support/engineering, …)
• A fiery determination and a strong team-player mindset - the team's defining trait is an 'all hands on deck' attitude

Experience in some of these areas is an advantage

• Experience in the cyber domain - security products, especially detection systems
• Cloud infrastructure (AWS) / MLOps experience
• Experience working with Infrastructure as code (IaC)
• AI tooling experience - We are an AI-oriented engineering team. We believe in automating the mundane so our developers can focus on high-level architecture and complex problem-solving. We provide the latest enterprise AI tools and encourage a culture of 'working smarter, not harder.

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Enjoy flexible hybrid work in Prague (Karlin), Prague-based employees are required to work from the office at least two days per week.
• Stock & Bonuses: Grant of Restricted Stock Units with a 4-year vesting plan, annual performance-based bonuses, and an employee stock purchase plan.
• Time Off & Well-being: Flexible Time Off, on top of the standard 5 weeks vacation, flexible paid sick days, fully paid Short Term Sick/Nursing Leave, 16-week parental leave, grandparent leave, and additional company holidays.
• Insurance & Health: Pension Insurance Contribution, Premium life insurance, Private medical care (for you and +1), and a Global Employee Assistance Program.
• Work Perks: Monthly meal and well-being allowance, high-end MacBook/Windows laptop, work-from-home support, and in-office refreshments.
• Growth & Community: LinkedIn Learning, internal mentoring, educational support, generous referral bonuses, and optional company events (sports, BBQs, charity).

Become a Senior SRE for Bloomreach!

Join the newly form Datacraft team — the team building the next-generation data platform for Bloomreach Engagement. Datacraft owns three interconnected domains:

• Data Warehouses (~60%) — making Bloomreach data first-class in customer DWHs (Snowflake, BigQuery, Databricks). The strategic goal for 2026–27 is to use DWHs to exponentially accelerate data adoption.
• Loomi Analytics Agent (~20%) — evolving Loomi Analytics into an agentic analytics assistant that can explore data across systems, explain insights, and act on them.
• Dashboards & Analytics Stack (~20%) — moving Engagement reporting onto DWH-backed, modern analytics stacks (semantic layers, headless BI tools).

As a Senior SRE, you will be the reliability backbone of this AI-first data team. Your work will directly impact the deployments, pipelines, reliability, and observability of pipelines and services that hundreds of enterprise customers depend on — from data exports into Databricks and BigQuery, to the  AI agent Loomi uses to surface insights.

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. Working in one of our Central European offices (Bratislava, Praha, Brno) or from home on a full-time basis, you'll become a core part of the Engineering team.

What challenge awaits you?

As a P3 (Senior) SRE at Bloomreach, you are an independent professional — expert in reliability engineering, able to decompose objectives into actionable infrastructure improvements, and lead initiatives end-to-end with minimal day-to-day guidance.

We need you to build and operate an ecosystem where data engineers can safely and efficiently develop, debug, and operate data-intensive jobs and services — spanning Kafka ingest pipelines, Iceberg data lakes, multi-DWH exports, Databricks deployment and orchestration (Airflow / Cloud Composer), and agentic AI workloads.

Your responsibilities

a. Platform reliability & observability

• Build and maintain the reliability ecosystem where engineers can safely develop, debug, and operate DataCraft services running on GCP and Kubernetes (DataProc, Cloud Composer, BigQuery, Snowflake/Databricks connectors).
• Ensure end-to-end observability across the full data platform — from Kafka ingest through GCS/Iceberg staging, Airflow orchestration, to Databricks and BigQuery destinations — enabling the team to catch missing loads, SLA breaches, and data drifts before customers notice, or costs drift.
• Drive scalability so services can scale vertically and horizontally based on operational and telemetric data (OpenTelemetry, Prometheus, Victoria Metrics).
• Maintain team health dashboards and alerting (Grafana, PagerDuty, Sentry).

b. Infrastructure as Code & deployments

• Own and evolve Terraform-based infrastructure for DataCraft services.
• Automate deployments, instance setup, and operational runbooks to eliminate manual/semi-manual steps.
• Maintain CI/CD pipelines (GitLab) with linters, security scans, and code quality checks, AI code reviews, enabling engineers to produce high-quality MRs.

c. Security & compliance

• Help the team fulfill security requirements for ISO and SOC2 audits by enforcing security principles: key distribution, key rotation, authorization & authentication at the service level, data encryption in transit, data isolation, resource limitations, and audit logs.
• Ensure data access controls are properly enforced across multi-DWH environments (BigQuery, Snowflake, Databricks).

d. Incident management & L3 support

• Participate in and drive L3 on-call rotation and incident resolution for DataCraft services.
• Contribute tooling for debugging, troubleshooting, and performance testing of data pipelines and orchestration layers.
• Use telemetry data and distributed tracing to navigate complex, distributed service architectures.

e. Agentic platform reliability

• Ensure reliability and observability of the Loomi Analytics Agent data infrastructure — LLM API gateway performance, MCP server health, and evaluation pipeline availability.
• Monitor and alert on data quality issues that could introduce inconsistencies or hallucinations in Loomi's responses — making the agent's data access patterns reliable and debuggable.

Our tech stack

Languages: Python (primary), Go, SQL Messaging & streaming: Apache Kafka Storage & databases: Databricks, BigQuery, Apache Iceberg, GCS, Mongo, Redis Data processing & orchestration: Apache Spark, DataFlow, Airflow / Cloud Composer Infrastructure: GCP, Kubernetes, Terraform AI / Agentic: LLM APIs, MCP, agent orchestration frameworks Observability: Grafana, Prometheus, Victoria Metrics, PagerDuty, Sentry, OpenTelemetry CI/CD & tooling: GitLab, Jira, Confluence AI coding agents: Cursor, Claude Code

Your qualifications

Professional experience

Impact

• You can articulate how your contributions transformed the way engineers work and fostered a strong SRE/DevOps culture.
• You can demonstrate how impactful reliability work connects to business success and customer outcomes.

Ownership

• You embrace the you build it, you run it principle — you love owning what you ship.
• You are cost-aware: effective vertical and horizontal autoscaling and detailed telemetry insights are how you demonstrate mindfulness of cloud spend.

Systematic approach

• Infrastructure as Code is the only thing that brings stability into chaos
• You design for failure: SLOs, error budgets, and runbooks are first-class artifacts, not afterthoughts.

Data-driven

• You use telemetry and metrics to give engineers actionable feedback on how applications and services behave.
• You can navigate complex data platform architectures using distributed tracing and debugging.

Technical skills

• Solid hands-on experience with GCP (BigQuery, DataProc, Cloud Composer, GCS) and Kubernetes.
• Experience with Python; Go is a strong advantage.
• Familiarity with data pipeline technologies (Kafka, Airflow/Cloud Composer, Spark, Iceberg) — you don't need to write ETL code, but you need to operate it reliably and know when something is wrong.
• Fluent use of AI coding agents (Cursor, Claude Code, Copilot, Gemini CLI, or similar) — you already use these tools daily to accelerate work.
• Comfortable with on-call rotation and 24/7 incident response.
• Remote-first mindset — you know how to be effective in distributed teams.
• You are able to learn and adapt — essential when exploring new tech or navigating our growing codebase.

Strongly preferred

• Experience operating single-DWH environments (Snowflak, Databricks or BigQuery).
• Familiarity with agentic/LLM workloads — API reliability, latency SLOs, trace observability for AI systems.
• Experience with open table formats (Iceberg, Delta Lake) in production environments.
• Exposure to data security and compliance in the context of customer-facing DWH integrations (consent, data retention, PII handling).

Personal qualities

• Ownership & accountability — you take issues from detection through to resolution and follow-up prevention.
• Systematic thinking — you identify root causes, not symptoms, and document your findings so the team learns.
• Collaboration & communication — you explain trade-offs and constraints clearly to both engineers and non-engineers.
• Bias for reliability — operational excellence (SLOs, oncall friendliness, proactive alerting) is not a chore, it's your craft.
• Continuous improvement mindset — you are comfortable iterating, revisiting assumptions, and improving incrementally.
• Comfortable operating remote-first in a distributed team across Central Europe.

Your success story

In 30 days:

• Get to know the DataCraft team, the company, and the most important processes.
• Set up your local and GCP development environment and complete the Engagement engineering onboarding.
• Understand the current state of DataCraft services: pipelines, orchestration, observability gaps, and on-call runbooks.

In 90 days:

• Start contributing to the L3 on-call rotation, handling incidents, troubleshooting, and debugging — which will sharpen your understanding of the platform and surface fresh improvement ideas.
• Deliver your first meaningful reliability improvement: an observability enhancement, a deployment automation, or an SLO definition for a key DataCraft service.

In 180 days:

• Own the reliability posture of at least one DataCraft domain end-to-end — able to independently design, operate, and continuously improve it.
• Drive measurable improvements in MTTR, alert signal-to-noise ratio, or deployment confidence across the team.
• Be a trusted reliability partner in architecture discussions — your input shapes how new DataCraft services are designed for operability from day one.

#LI-KP1

Become a Senior SRE for Bloomreach!

Join the newly form Datacraft team — the team building the next-generation data platform for Bloomreach Engagement. Datacraft owns three interconnected domains:

• Data Warehouses (~60%) — making Bloomreach data first-class in customer DWHs (Snowflake, BigQuery, Databricks). The strategic goal for 2026–27 is to use DWHs to exponentially accelerate data adoption.
• Loomi Analytics Agent (~20%) — evolving Loomi Analytics into an agentic analytics assistant that can explore data across systems, explain insights, and act on them.
• Dashboards & Analytics Stack (~20%) — moving Engagement reporting onto DWH-backed, modern analytics stacks (semantic layers, headless BI tools).

As a Senior SRE, you will be the reliability backbone of this AI-first data team. Your work will directly impact the deployments, pipelines, reliability, and observability of pipelines and services that hundreds of enterprise customers depend on — from data exports into Databricks and BigQuery, to the  AI agent Loomi uses to surface insights.

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. 

For candidates at the P3 / Senior SRE level, starting monthly compensation begins at 3 800 € gross, with the final offer tailored for each candidate based on their skills and experience. Stock options and a comprehensive benefits package are also included. Working in one of our Central European offices (Bratislava, Praha, Brno) or from home on a full-time basis, you'll become a core part of the Engineering team.

What challenge awaits you?

As a P3 (Senior) SRE at Bloomreach, you are an independent professional — expert in reliability engineering, able to decompose objectives into actionable infrastructure improvements, and lead initiatives end-to-end with minimal day-to-day guidance.

We need you to build and operate an ecosystem where data engineers can safely and efficiently develop, debug, and operate data-intensive jobs and services — spanning Kafka ingest pipelines, Iceberg data lakes, multi-DWH exports, Databricks deployment and orchestration (Airflow / Cloud Composer), and agentic AI workloads.

Your responsibilities

a. Platform reliability & observability

• Build and maintain the reliability ecosystem where engineers can safely develop, debug, and operate DataCraft services running on GCP and Kubernetes (DataProc, Cloud Composer, BigQuery, Snowflake/Databricks connectors).
• Ensure end-to-end observability across the full data platform — from Kafka ingest through GCS/Iceberg staging, Airflow orchestration, to Databricks and BigQuery destinations — enabling the team to catch missing loads, SLA breaches, and data drifts before customers notice, or costs drift.
• Drive scalability so services can scale vertically and horizontally based on operational and telemetric data (OpenTelemetry, Prometheus, Victoria Metrics).
• Maintain team health dashboards and alerting (Grafana, PagerDuty, Sentry).

b. Infrastructure as Code & deployments

• Own and evolve Terraform-based infrastructure for DataCraft services.
• Automate deployments, instance setup, and operational runbooks to eliminate manual/semi-manual steps.
• Maintain CI/CD pipelines (GitLab) with linters, security scans, and code quality checks, AI code reviews, enabling engineers to produce high-quality MRs.

c. Security & compliance

• Help the team fulfill security requirements for ISO and SOC2 audits by enforcing security principles: key distribution, key rotation, authorization & authentication at the service level, data encryption in transit, data isolation, resource limitations, and audit logs.
• Ensure data access controls are properly enforced across multi-DWH environments (BigQuery, Snowflake, Databricks).

d. Incident management & L3 support

• Participate in and drive L3 on-call rotation and incident resolution for DataCraft services.
• Contribute tooling for debugging, troubleshooting, and performance testing of data pipelines and orchestration layers.
• Use telemetry data and distributed tracing to navigate complex, distributed service architectures.

e. Agentic platform reliability

• Ensure reliability and observability of the Loomi Analytics Agent data infrastructure — LLM API gateway performance, MCP server health, and evaluation pipeline availability.
• Monitor and alert on data quality issues that could introduce inconsistencies or hallucinations in Loomi's responses — making the agent's data access patterns reliable and debuggable.

Our tech stack

Languages: Python (primary), Go, SQL Messaging & streaming: Apache Kafka Storage & databases: Databricks, BigQuery, Apache Iceberg, GCS, Mongo, Redis Data processing & orchestration: Apache Spark, DataFlow, Airflow / Cloud Composer Infrastructure: GCP, Kubernetes, Terraform AI / Agentic: LLM APIs, MCP, agent orchestration frameworks Observability: Grafana, Prometheus, Victoria Metrics, PagerDuty, Sentry, OpenTelemetry CI/CD & tooling: GitLab, Jira, Confluence AI coding agents: Cursor, Claude Code

Your qualifications

Professional experience

Impact

• You can articulate how your contributions transformed the way engineers work and fostered a strong SRE/DevOps culture.
• You can demonstrate how impactful reliability work connects to business success and customer outcomes.

Ownership

• You embrace the you build it, you run it principle — you love owning what you ship.
• You are cost-aware: effective vertical and horizontal autoscaling and detailed telemetry insights are how you demonstrate mindfulness of cloud spend.

Systematic approach

• Infrastructure as Code is the only thing that brings stability into chaos
• You design for failure: SLOs, error budgets, and runbooks are first-class artifacts, not afterthoughts.

Data-driven

• You use telemetry and metrics to give engineers actionable feedback on how applications and services behave.
• You can navigate complex data platform architectures using distributed tracing and debugging.

Technical skills

• Solid hands-on experience with GCP (BigQuery, DataProc, Cloud Composer, GCS) and Kubernetes.
• Experience with Python; Go is a strong advantage.
• Familiarity with data pipeline technologies (Kafka, Airflow/Cloud Composer, Spark, Iceberg) — you don't need to write ETL code, but you need to operate it reliably and know when something is wrong.
• Fluent use of AI coding agents (Cursor, Claude Code, Copilot, Gemini CLI, or similar) — you already use these tools daily to accelerate work.
• Comfortable with on-call rotation and 24/7 incident response.
• Remote-first mindset — you know how to be effective in distributed teams.
• You are able to learn and adapt — essential when exploring new tech or navigating our growing codebase.

Strongly preferred

• Experience operating single-DWH environments (Snowflak, Databricks or BigQuery).
• Familiarity with agentic/LLM workloads — API reliability, latency SLOs, trace observability for AI systems.
• Experience with open table formats (Iceberg, Delta Lake) in production environments.
• Exposure to data security and compliance in the context of customer-facing DWH integrations (consent, data retention, PII handling).

Personal qualities

• Ownership & accountability — you take issues from detection through to resolution and follow-up prevention.
• Systematic thinking — you identify root causes, not symptoms, and document your findings so the team learns.
• Collaboration & communication — you explain trade-offs and constraints clearly to both engineers and non-engineers.
• Bias for reliability — operational excellence (SLOs, oncall friendliness, proactive alerting) is not a chore, it's your craft.
• Continuous improvement mindset — you are comfortable iterating, revisiting assumptions, and improving incrementally.
• Comfortable operating remote-first in a distributed team across Central Europe.

Your success story

In 30 days:

• Get to know the DataCraft team, the company, and the most important processes.
• Set up your local and GCP development environment and complete the Engagement engineering onboarding.
• Understand the current state of DataCraft services: pipelines, orchestration, observability gaps, and on-call runbooks.

In 90 days:

• Start contributing to the L3 on-call rotation, handling incidents, troubleshooting, and debugging — which will sharpen your understanding of the platform and surface fresh improvement ideas.
• Deliver your first meaningful reliability improvement: an observability enhancement, a deployment automation, or an SLO definition for a key DataCraft service.

In 180 days:

• Own the reliability posture of at least one DataCraft domain end-to-end — able to independently design, operate, and continuously improve it.
• Drive measurable improvements in MTTR, alert signal-to-noise ratio, or deployment confidence across the team.
• Be a trusted reliability partner in architecture discussions — your input shapes how new DataCraft services are designed for operability from day one.

#LI-KP1

Writing software is your hobby. You want to team up with great people because that’s the best way to grow and learn. You want your work to make a positive impact in the world. You love the idea that your code can help combat global crime. Is this you? Then you will fit well in our team. 

We are building cutting-edge solutions to create a safer world and stop money from ending up in the hands of criminals. Your work will allow our clients to identify and understand criminal, financial, and political risks, updating dynamically as new data becomes available from various sources (sanctions, watchlists, corporate registries, media, …).

As a Junior Software Engineer, you will:

• Collaborate on the design and build distributed data pipelines and the system around our Knowledge Graph to build and improve our next-generation anti-money laundering solution.
• Work with our product manager(s) to understand and contribute to our goals, find a solution to reach them and prioritise accordingly.
• Engage in the full product lifecycle, including ideation, design, and deployment and get code from initial requirements to deployed services in production (with help of our SRE teams).
• Improve scalability, latency and throughput of our pipelines while keeping high standards in systems reliability and resilience.
• Model data and design schemas to accommodate the needs of our Knowledge Graph and the whole data ecosystem.
• Collaborate with squads and functions across the company to ensure the quality and impact of your designed solutions.
• Be responsible for the quality of your code. Write tests, document, and take ownership of the systems that ensure the quality of our code.
• Work with ML engineers to build and deploy new features for AI-powered components.
• Actively learn, adopt best practices, identify space for improvement, contribute to our engineering culture and always strive for making us better.
• Use AI-assisted development tools (like Claude Code or Gemini Code Assist) under guidance to improve your productivity and code quality.

Our Tech Stack:

The data-driven nature of the role and the prominence of Python in the data and ML ecosystem means you will primarily work in Python and engineer data pipelines. Any relevant experience is going to be helpful but we believe that top engineers are able to learn quickly and adapt to new technologies so that we can innovate and react to the fast changing world. 

• Our technology stack is designed to run on public cloud architectures, notably AWS and GCP;
• Python and Kotlin programming languages;
• Spark, Databricks, Google Dataproc, Delta lakes for stream and big data processing;
• Relational (Postgres), large scale NoSQL and graph databases and other distributed or cloud-based object stores;
• Event-sourced model powered by Kafka for our communication bus;
• Modern observability solutions (such as Datadog or Grafana);
• Git, ArgoCD, Terraform, Kubernetes.

About you: 

As a Junior Software Engineer, you will have: 

• Strong sense of ownership and accountability (you are able to independently drive your work to the successful end and ask for help if needed).
• Master degree in Computer Science, Engineering, or a related field, OR equivalent practical experience (approx 1-2 years of professional experience in relevant role).
• Intermediate knowledge of one or more programming languages.
• Experience with Python on a real-world project.
• Experience with code versioning (Git).
• Experience with key software engineering concepts like unit tests, databases.
• At least basic experience with working in cloud environment (preferably GCP, AWS or Azure).
• Ability to work effectively in a team and communicate clearly.

Nice to haves: 

• Experience working in a multi-disciplinary team of Data Scientists, ML Engineers, SREs and product managers.
• Experience working with distributed computing.
• Experience with a real-world production grade system(s) and its deployment.
• Experience working with knowledge graphs or graph databases.
• Experience with data analysis, relevant machine learning techniques and graph algorithms.
• Experience with agile methodologies in software development.
• Experience in development using Java or Kotlin.

What’s in it for you? 

• Equity as we want you to have a part of what we are building.
• Unlimited Time Off Policy - A work-life balance and focus on our well-being are critical to keeping us performing at our best. 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships.
• You will also get a new starter budget to kit out your home office. 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve. 
• Annual learning budget (prorated based on start date) to drive your performance and career development. 

Joining Collibra's Software Engineering team 

Are you interested in ushering a new era of data participation? Collibra is shaping the way companies manage data by helping customers connect the right data, insights, and algorithms for all Data Citizens. When everyone across the organization is enabled with data, true transformation can take place. We are building a team of exceptional people to help us deliver on that promise. If you are interested in a career at the leading edge of technology, we look forward to hearing from you.

We're looking for a Software Engineer to join us on the development of our Edge Platform. This team is responsible for providing a framework that allows Engineers to easily integrate, deploy, upgrade, and manage Edge applications within the Collibra platform ecosystem for our customers. You'll focus on the infrastructure, tooling, and automation that make this platform reliable and easy to operate at scale. We are an engineering-driven company where your talent and skills are truly appreciated and maximized.

This is a hybrid role based in our Prague office. Our hybrid model means you'll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

Software Engineers at Collibra are responsible for

• Designing, building, and maintaining customer-facing deployment, upgrade, and lifecycle management workflows for the Edge Platform across a wide range of Kubernetes environments.
• Operating and improving Kubernetes-based environments across on-premises and cloud infrastructure, spanning a variety of distributions and customer configurations, with a focus on reliability, scalability, and observability.
• Developing and maintaining platform tooling that enables customers and internal teams to deploy, monitor, and troubleshoot Edge applications efficiently.
• Collaborating with Product Managers, Architects, and other engineering teams to ensure infrastructure and operational needs are integrated into the product roadmap.
• Participating in incident response, post-incident reviews, and driving improvements to system reliability and operational processes.

You have

• 2+ years of experience in a DevOps, SRE, or infrastructure-focused software engineering role.
• Industry experience and knowledge of:
• Docker, Kubernetes (including familiarity with diverse distributions such as EKS, AKS, GKE, OpenShift, or k3s), and Helm.
• Cloud infrastructure fundamentals across one or more major providers (AWS, GCP, Azure).
• CI/CD systems (e.g., Jenkins, GitHub Actions, GitLab CI).
• Proficiency in Java and/or Go.
• Experience with infrastructure-as-code concepts and tooling.
• A solid understanding of cloud-native and on-premises application deployment, networking, and observability (logging, metrics, tracing).
• A bachelor's degree or equivalent related working experience is required.
• You must have work authorization to work in Prague, CZ.
• Nice to have: familiarity with Apache Spark and distributed data processing workloads.

You are

• Excited to do your best work with a diverse and distributed team.
• Passionate about automation, reliability, and reducing operational toil.
• Comfortable building and operating systems on Kubernetes across diverse environments, from managed cloud services to on-premises clusters.
• A proactive and clear communicator, skilled at articulating technical concepts to both engineering and business partners.
• An advocate for continuous learning and improvement for yourself and the technology you build.

Measures of success

• Within your first month, you will familiarize yourself with the Edge product, infrastructure, deployment pipelines, and team, and be contributing your first changes.
• Within your third month, you will be comfortable owning and improving deployment workflows, infrastructure configuration, and operational processes independently.
• Within your sixth month, you will be driving significant infrastructure or platform tooling initiatives and contributing to the team's reliability and operational strategy.

Role: Transcreation Executive

Location: Prague or any other city, Czech Republic (100% Remote)

Please submit your CV in English

About the role and team:

In today's fiercely competitive marketplace, achieving creative excellence across all eCommerce touchpoints is crucial. We are seeking a Transcreation Executive renowned for their outstanding work in the Beauty & Skincare sector to join our dynamic team. This is an exciting opportunity to elevate our brand's presence and impact across Europe. 

Our ideal candidate will excel in high-volume adaptation, ensuring compliance, consistency, and competitiveness. As a Transcreation Executive, you will manage multiple projects simultaneously, ensuring the brand consistency & quality from the initial concept through to execution and delivery. Experience in the beauty and e-commerce sectors is essential, along with proficiency in utilizing the necessary tools and software to manage complex projects efficiently.  

This role offers the chance to work with iconic beauty brands as we launch a groundbreaking Europe-wide eCommerce Content Factory. By integrating automation and AI, we aim to revolutionise content creation and set new digital standards for online beauty experiences. 

As a Transcreation Executive, you will be planning and organising translation and transcreation campaigns, liaising with the client brand managers and in-market-creatives (copywriters, transcreators, translators, and post-editors), tracking project progress (admin & financials), and using your expertise in cosmetics, beauty, and luxury to deliver transcreation work for our premium client, a global leader in beauty. 

What you will be doing: 

• Immersed in the brand and work closely with different stakeholders such as project managers, designers, and freelance linguists. 
• Coordinating the transcreation of e-commerce marketing assets across channels, ensuring brand consistency and adherence to retailers’ guidelines and specifications. 
• Responsible for the planning and execution of transcreation and machine translation/AI transcreation projects, from initial brief to final language QC of in-situ asset. 
• Required to plan projects at hand in a proactive manner, monitor progress, and solve problems that might arise. 
• Fast thinker and will be able to apply problem-solving techniques. 
• Discuss with the client the scope of work and, in agreement with the Transcreation Lead, manage and exceed client’s expectations. 
• Proactively identify areas for improvement and any areas where you can add value to anything outside of direct responsibilities related to projects. 
• Deliver the best possible international communication
• Conduct quality checks on transcreations at various project stages, collaborate with stakeholders and clients, build strong relationships with in-market creatives, and work with diverse talents globally.
• Work across all marketing channels and gain insights in other account teams such as production, digital, or on-site client teams.  
• Execute admin tasks such as raising purchase- and sales orders, centralising tone of voice and brand identity materials, building glossaries and maintaining and managing translation memories. 

What you need to be great in this role: 

• 1-3 years experience in localisation project management. 
• University degree in marketing, languages, business, or related field. 
• Expertise in and passion for beauty, cosmetics, or luxury industries. 
• English proficiency is required for our global operations. Being a native speaker of Czech, Hungarian, Slovak, Bulgarian, or Greek is desirable.
• Experience with CAT tools and Machine Translation. 

Req ID: 16477
#LI-AB1#LI-senior#LI-Onsite