We are ShipMonk, and we provide logistics services in order fulfillment. Our main business is in the USA, but our modern platform is built by the Product Development team in Prague.

Here at ShipMonk, we process up to 100,000 orders per day in our peak season. Our book of business has more than 1,500 clients which are small and medium e-shops, mostly based in the US. We offer the ShipMonk platform as the solution for the whole process.  It covers everything from stocking the items to shipping the ready packages to all corners of the world!

🎯 1. ROLE MISSION

We seek a High-Execution Data Engineer to be the lead architect and primary builder of the Merchant Data Catalogue (MDC). This "Builder-Architect" role requires designing, coding, building, and maintaining the infrastructure to transform complex 3PL logistics data into a single, standardized, client-ready data product. Moving beyond fragmented backend data, you will model it into a clean, unified "Merchant-Standard" format. This standardized data directly enables customers to easily calculate and output key e-commerce KPIs, such as drilling down on a 15% shipping cost increase. The MDC is critical as the foundation for our AI insights platform and all future data tooling for our thousands of merchants.

🏗️ 2. THE HANDS-ON CORE RESPONSIBILITIES

• End-to-End Development: Directly build, test, and deploy the ETL/ELT pipelines that feed the Merchant Data Catalogue.
• MDC Management & Oversight: Take full ownership of the MDC lifecycle—from schema design to ongoing performance tuning and maintenance.
• Standardization & Modeling: Get hands-on with SQL and Python to model fragmented backend data into a clean, unified "Merchant-Standard" format.
• Data Contract Enforcement: Code and implement automated checks (Data Contracts) to ensure backend changes never break the client-facing data layer.
• Maintenance & Support: Proactively monitor the health of the MDC. You are the first line of defense for troubleshooting data discrepancies or performance lags.
• Tooling & Automation: Develop internal tooling to automate documentation and data quality reporting for our merchants.
• Data Mining & Insight Modeling: Identify business problems (e.g., "Are you putting inventory in the wrong warehouse?") and construct the underlying data models within the MDC to provide actionable answers via our tooling and customer interfaces.

🛠️ 3. SKILLS & TECHNICAL REQUIREMENTS

• Hands-on Engineering: Expert-level proficiency in Python and SQL. You should be comfortable refactoring complex queries and building scalable data apps.
• Modern Data Stack: Practical experience with dbt, Airflow, Snowflake, and CI/CD workflows for data.
• Data Architecture: Strong ability to design Star Schemas and wide-table formats specifically for high-concurrency client access.
• Reliability Engineering: Experience with data testing frameworks (e.g., Great Expectations, dbt-tests) to ensure "Standard & Robust" delivery.
• Documentation: Ability to write clean, developer-facing and client-facing documentation (Data Dictionaries).

🏆 4. KEY RESULTS (What Success Looks Like)

• KR 1 (Reliability): Achieve 99.9% uptime and delivery of the MDC, meeting all client-facing Data SLAs.
• KR 2 (Business Value/Upsell): Enable the development of analytics features, AI insights, and drill-down dashboards that are 100% based on the Merchant Data Catalog, directly contributing to upsell and technology revenue.
• KR 3 (Insight Foundation): Successfully construct the underlying data models within the MDC to support three high-leverage 2026 Strategic Problems (e.g., Inventory Placement, B2B Planning Accuracy).
• KR 4 (Data Quality/Trust): Implement and enforce Data Contracts for 100% of core client-facing data fields, resulting in a 50% decrease in Merchant Success Manager (MSM) escalations related to data discrepancies.
• KR 5 (Customer Insight Loop): Implement a formal feedback loop to capture and translate merchant/business-user feedback into 3 major quarterly data model improvements within the MDC.
• KR 6 (Internal Adoption): Achieve 90% adoption of all new MDC-based insight models by Merchant Success Managers (MSMs) for weekly client consultations, solidifying the MDC as the trusted single source of truth.

📈 5. DESIRED EXPERIENCE

• 4+ years of hands-on experience in Data Engineering or Backend Engineering.
• Proven track record of building data products from scratch—not just maintaining existing ones.
• Experience working in a 3PL, Logistics, or Fintech environment where data accuracy is mission-critical.
• A "lead-by-doing" mentality: you are as comfortable in a high-level design sprint as you are in a deep-dive debugging session.
• Experience working directly with business users and leveraging customer feedback to drive iterative improvements in data models and products.

🚀 JOIN THE SHIPMONK CREW

We are looking for a highly business-focused Data Engineer who will act as a Data Product Manager for the Merchant Data Catalog. This role's purpose is to accelerate our business by synthesizing user inputs and customer feedback into data models that drive strategic value for our thousands of merchants.

Location: Prague / Hybrid

THE ROLE

We are looking for a BI/Data Analyst to join our R&D Business Intelligence team. As a key member of a fast-paced, fully-remote environment, you will work on building and maintaining high-performance dashboards, visualisations, and reports that deliver critical insights to customers and internal stakeholders.

You will play a pivotal part in transforming discovery and classification results into actionable insights, working closely with various internal/external stakeholders and enterprise customers to control their data across complex environments and meet evolving data privacy, security, and governance requirements.

WHAT YOU'LL DO

• Design, develop, and maintain complex, interactive dashboards and self-service reports using BI tools (e.g., Looker, Power BI, Tableau) to surface sensitive data and deliver actionable insights for business decision-making
• Work closely with product owners, business stakeholders, customers, and end users to gather detailed reporting requirements and translate them into scalable, impactful BI solutions that align with business objectives
• Write and optimize advanced SQL queries to support data extraction, transformation, and analysis across large datasets, ensuring high performance and scalability of reporting solutions
• Contribute to the design and evolution of data models and semantic layers, and collaborate with data engineering to define and improve data pipelines and transformations
• Act as a senior contributor in BI development, participating in architectural discussions and driving best practices in data visualization, governance, and security
• Ensure data accuracy, integrity, and reliability by implementing validation and testing approaches across dashboards, reports, and underlying data
• We are primarily an in-office environment and therefore, you will be expected to work from the Prague office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Experience designing and evolving scalable business intelligence solutions, including data models, semantic layers, and reporting frameworks
• Advanced proficiency in SQL and working with large-scale data in cloud data warehouse or lakehouse environments (e.g., BigQuery, Snowflake, Redshift, or similar)
• Experience building and maintaining robust dashboards and reporting systems using modern BI tools (e.g., Looker, Tableau, Power BI, or similar)
• Strong understanding of data modeling and transformation practices (e.g., ETL/ELT, dimensional modeling) and their impact on performance and usability
• Experience contributing to cloud-based data architecture and analytics workflows, including defining and improving best practices
• Ability to establish and uphold data quality, governance, and reliability standards
• Ability to translate complex business needs into data solutions and communicate insights clearly across technical and non-technical audiences

#LI-ONSITE

THE ROLE

As the Business Operations Manager for Global Real Estate, you are the strategic engine behind Everpure’s global footprint. This isn't just about managing budgets; it’s about transforming how our facilities and real estate teams operate through data-driven precision and a "automation-first" philosophy. You will act as the vital bridge between our Geo Directors, Finance, and Accounting teams, ensuring our capital projects and portfolio decisions are backed by rigorous financial modeling and airtight operational controls. If you thrive on turning complex data sets into actionable business insights and enjoy building scalable processes that directly impact a company’s bottom line, this role offers the platform to lead high-stakes global initiatives within a fast-paced, collaborative environment.

WHAT YOU'LL DO

• Financial Orchestration: Lead the global annual budgeting process and quarterly forecasting in partnership with G&A Finance, ensuring the business moves from "bottoms-up" activity planning to precise financial execution.
• Strategic Deal Modeling: Support regional directors by performing transaction-level analysis and maintaining a bi-annual, automated long-range financial forecast for the entire real estate portfolio.
• Operational Excellence & Compliance: Drive strict adherence to financial controls, SOX compliance, and capital improvement project protocols, serving as the primary conduit for asset settlement and quarterly performance reporting.
• Systems Innovation: Identify and deploy process automation opportunities using advanced tools (Tableau, Snowflake, SQL, etc.) to eliminate manual tasks and elevate the quality of global facilities data.
• Portfolio Performance: Collaborate with the Global Strategy Director and Data Analytics team to define and track KPIs that drive cost optimization and insightful real estate decision-making.
• Financial Advisory: Act as the subject matter expert for the business on vendor setup, purchase requisitions, and account coding, providing the training and resources necessary to maintain high financial literacy across the team.
• Continuous Improvement: Conduct post-mortem analyses on budget cycles to implement process enhancements that improve Everpure's overall financial position and project performance.

WHAT YOU BRING

• Financial & Operational Mastery: Extensive experience in business management, finance, or operations, with a deep understanding of budgeting, forecasting, cost control, and financial principles.
• Advanced Systems Proficiency: capability in data and automation tools, including Tableau, Snowflake, Alteryx, SQL, and the ability to build/manage AI tools and bots beyond simple prompting.
• Process Engineering Mindset: Proven ability to document complex processes and implement lean methodologies (such as Six Sigma) to drive efficiency and data integrity.
• Analytical Rigor: Strong problem-solving skills with the ability to synthesize data from various global sources into clear, decision-ready models and reports.
• Collaborative Communication: Exceptional interpersonal skills with the ability to influence cross-functional teams and lead financial refresh meetings across different time zones.
• Adaptability & Impact: A proactive approach to working in dynamic environments, with the capacity to shift priorities and support global stakeholders up until 11am PST as needed.
• Location: We are primarily an in-office environment and therefore, you will be expected to work from the Prague, Czech Republic office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

#LIONSITE

THE ROLE

As a Data Engineer - Agentic AI focus you will architect the high-performance data ecosystem that transforms raw information into actionable intelligence and agentic AI solutions. You will bridge the gap between complex engineering and business impact, collaborating with Data Scientists and Product Managers to build the infrastructure that scales our AI capabilities. This isn't just about moving data; it’s about engineering the foundation for the next generation of automated customer support and operational excellence.

WHAT YOU'LL DO

• Architect Scalable Data Infrastructure: Design, deploy, and optimize production-grade ETL pipelines and data models that ensure high-quality, AI-ready datasets for global business intelligence.
• Drive AI Evolution: Lead the technical preparation and prototyping of AI-driven workflows, integrating emerging LLM frameworks to automate complex business processes and enhance decision-making.
• Ensure Data Excellence and Integrity: Own the end-to-end data management lifecycle, implementing robust governance, security, and monitoring to maintain a "single source of truth" for critical stakeholders.
• Collaborate and Solve Across Functions: Partner with cross-functional teams to translate business needs into technical specifications, serving as the bridge that turns raw data into measurable organizational impact.
• Operational Reliability: Manage business-hour on-call rotations to ensure the seamless performance of ingestion systems, maintaining high availability for our global data consumers.

WHAT YOU BRING

• Advanced Engineering Proficiency: Deep technical expertise in SQL, Python, and data modeling, with a proven track record of maintaining complex data pipelines and workflow orchestration tools like Airflow or DBT.
• Modern Data Stack Expertise: Hands-on experience managing relational and NoSQL environments (such as Snowflake, PostgreSQL, or MongoDB) within AWS cloud infrastructures.
• Growth Mindset & AI Curiosity: A strong desire to apply traditional data engineering principles to intelligent automation, including the ability to adapt to new technologies like LLM orchestration and model evaluation.
• Collaborative Communication: The ability to distill complex technical concepts into clear insights for non-technical partners, ensuring alignment across global time zones and diverse teams.
• We are primarily an in-office environment and therefore, you will be expected to work from the Prague, Czech Republic office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

#LIONSITE

THE ROLE

As an Engineering Intern on the Master Data Management (MDM) team, you will build the high-fidelity data foundations that power our global enterprise and fuel our AI-driven future. You’ll go beyond theory by shiping code to a real-time platform that synchronizes mission-critical data across the entire organization. Collaborating directly with senior architects, you will solve complex data integrity challenges that have a direct impact on our ability to scale and innovate. This is your chance to move past academic exercises and own technical solutions in a fast-paced, international engineering environment.

WHAT YOU’LL DO

• Own the Development Lifecycle: Design, develop, and deploy enhancements to our MDM platform, ensuring high performance and data reliability for downstream business systems.
• Scale Data Infrastructure: Contribute to the architecture of real-time data pipelines, transforming raw inputs into "golden records" that serve as the single source of truth for the company.
• Drive Technical Innovation: Partner with senior engineers to troubleshoot complex data anomalies and implement automated fixes that reduce manual intervention and improve system uptime.
• Collaborate Globally: Work across functional boundaries to translate business requirements into technical specifications, ensuring our data models meet the needs of a diverse set of internal stakeholders.

WHAT YOU BRING

• Software Engineering Foundation: Proficiency in Python or a similar high-level programming language, with the ability to write clean, maintainable, and efficient code.
• Data Fluency: Strong command of SQL for complex data manipulation and analysis, ideally with exposure to modern cloud data warehouses like Snowflake.
• Systems Thinking: A foundational understanding of cloud infrastructure components—such as AWS Lambda, EC2, and containerization—and how they support distributed applications.
• Proactive Problem Solving: A self-starter mindset with the communication skills to engage stakeholders and navigate technical roadblocks independently.

Role Overview

We are seeking an exceptional Finance Manager to support the G&A organization from our Prague Finance Hub, with a focus on Facilities and Corporate Functions. This role is a strategic partner to G&A leadership, driving financial insight and discipline across operating expenses, capital investments, and a global real estate portfolio, while leading and developing a high-performing team.

This role owns the Facilities P&L, including OPEX/CAPEX governance, lease analytics, and forecasting, ensuring strong financial execution. This role will also drive spend modeling, lease economics, and scenario planning to inform footprint and investment decisions.

The ideal candidate is a proactive, analytically strong self-starter with advanced modeling and communication skills. This individual will scale reporting, improve processes, and enhance financial visibility to enable data-driven decisions aligned with margin and capital efficiency goals.

WHAT YOU’LL DO

• Own Close, Planning, Forecasting, and Performance Management: Lead the Facilities P&L and support planning and forecasting activities, partnering with global Facilities and G&A leaders to drive consistency in reporting through a centralized Finance Hub model. Ensure accuracy, develop scenario models, and deliver performance insights to support decision-making and improve cost efficiency.
• Drive Strategic Financial Modeling: Build and maintain models across CapEx, lease accounting, rent, CAM, and operating expenses to evaluate trade-offs and support real estate planning. Partner with global stakeholders to assess the financial impact of footprint and investment decisions.
• Drive Automation and Scalability: Improve reporting and streamline FP&A processes through tools such as SQL, Snowflake, Python, and AI. Support scalable solutions and process improvements that enhance efficiency, accuracy, and insight generation.
• Lead Expense and Capital Strategy: Support the end-to-end management of CapEx and OpEx, ensuring disciplined spend tracking and alignment with near- and long-term plans.
• Enable Cross-Functional Decisions: Partner with Facilities, Accounting, Procurement, and Corporate Finance to support leasing decisions, budget tracking, and financial analysis. Identify opportunities for process improvement and ensure financial accuracy and alignment.

WHAT YOU BRING

• Strong Analytical and Communication Skills: Ability to translate complex data into clear, actionable insights
• FP&A Experience: Proven success in business-facing finance roles supporting planning, investment decisions, or cost management
• Systems Proficiency: Experience with financial systems (e.g., Anaplan, SAP, NetSuite) and advanced Excel; familiarity with data tools is a plus
• Collaborative Leadership: Ability to manage multiple priorities, influence stakeholders, and develop strong cross-functional relationships
• Location: We are primarily an in-office environment and therefore, you will be expected to work from the Prague office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

 #LI-ONSITE

Role Overview

We are seeking an exceptional Finance Manager to support the G&A organization from our Prague Finance Hub. This role will support the Finance, HR, and Legal P&L, including Forecast and consolidations across all G&A corp functions. Ensuring strong execution in accuracy, forecasting, and insights. This role will also drive spend modeling, workforce insights, and scenario planning to inform footprint and investment decisions.

The ideal candidate is a proactive, analytically strong self-starter with solid modeling and communication skills. This individual will enhance reporting, improve processes, and support data-driven decision-making aligned with business priorities and KPIs.

What You’ll Do

• Own Close, Planning, Forecasting, and Performance Management: Support the Finance, HR, and Legal P&Ls and headcount, driving consistency in reporting across G&A. Ensure accuracy, develop scenario models, and deliver performance insights tied to KPIs to support decision-making and improve business outcomes.
• Drive Strategic Financial Modeling: Build and maintain models across P&L, OPEX (headcount and non-headcount), and allocations to evaluate trade-offs, support planning, and improve cost efficiency.
• Drive Automation and Scalability: Improve reporting and streamline FP&A processes through tools such as SQL, Snowflake, Python, and AI. Support scalable solutions that enhance efficiency, accuracy, and insight generation.
• Lead Expense Management: Support the end-to-end budgeting and forecasting cycle, ensuring disciplined spend management and alignment with near- and long-term plans.
• Enable Cross-Functional Decisions: Partner with Business Units, Accounting, Procurement, and Corporate Finance to support budget tracking, contract analysis, and productivity insights, ensuring financial accuracy and alignment.
• Enable and lead core FP&A operations:  Establish standardized processes and manage a remote team of analysts to support accruals, purchase requisitions, and broader spend management activities across FP&A. Ensure strong execution, consistency, and financial discipline.

What You Bring

• Strong Analytical and Communication Skills: Ability to translate complex data into clear, actionable insights.
• FP&A Experience: Proven success in business-facing finance roles supporting planning, investment decisions, or cost management.
• Systems Proficiency: Experience with financial systems (e.g., Anaplan, SAP, NetSuite) and advanced Excel; familiarity with data tools is a plus.
• Collaborative Leadership: Ability to manage multiple priorities, influence stakeholders, and develop strong cross-functional relationships.
• Location: We are primarily an in-office environment and therefore, you will be expected to work from the Prague office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

 #LI-ONSITE

THE ROLE

We are seeking an exceptional Senior Finance Analyst to support the G&A organization from our Prague Finance Hub, with a focus on Corporate Functions finance. As a key member of the G&A Finance team, this role will serve as a strategic partner to Facilities and G&A leadership, bringing financial rigor, transparency, and forward-looking insight across operating expenses, capital investments, and a complex global real estate portfolio.

This individual will own OPEX and CAPEX governance, lease portfolio analytics, and monthly close, forecast cycles, annual plan, ensuring disciplined financial execution and predictable outcomes across G&A. Beyond core reporting, the role will deliver advanced spend modeling, contract and lease economics analysis, and scenario planning to inform footprint strategy, functional investment decisions, and long-range planning.

The ideal candidate is a proactive, analytically rigorous self-starter with strong communication and advanced modeling capabilities. By streamlining reporting, building scalable dashboards, and enhancing financial visibility, this Senior Finance Analyst will empower Facilities and Corporate Function leaders to make confident, data-driven decisions aligned with margin optimization, capital efficiency, and long-term business objectives.

WHAT YOU’LL DO

• Drive Strategic Financial Modeling: Develop and maintain integrated financial models covering CapEx, lease accounting, facilities rent and CAM, and operating spend. Quantify the three-statement impact of investment and real estate decisions to support disciplined cost management, capital efficiency, and cash flow optimization. Provide visibility into the financial overview by site. Develop a centralized data lake to serve as a single source of truth for various analyses
• Lead Operational Automation: Revolutionize our reporting ecosystem by leveraging SQL, Snowflake, Python, and AI technologies to automate manual workflows, ensuring our financial processes are scalable and integrated across multiple platforms
• Direct Expense & Capital Strategy: Own the full lifecycle of CapEx and OpEx management, balancing expense targets based on current and future long range plans
• Enable Cross-Functional Decisions: Serve as a Finance business partner cross functional to Facilities, Corp Finance, BU Finance, and Cost Accounting, to support leasing agreements, maintain budget oversight, accurately reflect contract terms in financial models, and ensure adherence to purchase order governance
• Planning and Orchestration: Ability to plan and lead multiple timelines and milestones, ensuring alignment across facilities lease renewals and critical dates, while maintaining the regular cadence of financial planning, forecasting, close processes, and financial presentations

WHAT YOU BRING

• Education & Foundation Bachelor’s degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.
• Experience 3+ years of experience in Financial Planning & Analysis (FP&A), Cost Accounting, General Ledger (GL) accounting, or data analytics roles.
• Analytical Storytelling: You possess a mastery of financial modeling and the ability to synthesize massive datasets from tools like Snowflake, SQL, or Tableau into compelling narratives that drive executive action.
• Strategic FP&A Expertise: You have a proven track record of navigating complex business-facing finance roles, specifically in designing investment frameworks or sales-incentive models within a fast-paced corporate environment.
• Systems Agility: You are highly proficient in leveraging enterprise-level financial tools (such as Anaplan, SAP, NetSuite, or similar) and advanced spreadsheet functions to build scalable, automated reporting solutions.
• Collaborative Leadership: You are a self-starter who excels at managing multiple high-priority workstreams simultaneously while building strong, trust-based relationships with cross-functional global stakeholders.
• Location: We are primarily an in-office environment and therefore, you will be expected to work from the Prague office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

#LIONSITE

THE ROLE

As a Software Systems Architect, you will serve as the technical visionary and bridge between complex global business needs and high-quality technical execution. Based in our Prague R&D, you will define the architectural roadmap for engineering teams across Prague and Santa Clara, transforming requirements from Sales, Marketing, HR, and Customer Service into scalable, AWS-native solutions. Your mission is to elevate our engineering standards by architecting cutting-edge Agentic systems and intelligent orchestration layers. This is a high-impact leadership role where you will drive innovation, mentor a growing organization of 30+ developers, and ensure our internal platforms are resilient, secure, and future-proof.

WHAT YOU'LL DO

• Architectural Governance & Design: Lead the end-to-end design of complex, distributed systems by creating high-fidelity blueprints that align technical strategy with internal business goals for scalability and maintainability.
• Hands-on Technical Leadership: Drive "lead-by-example" execution by building Proof of Concepts (POCs), conducting live technical demonstrations, and authoring the gold-standard design documentation that sets the bar for the entire engineering organization.
• Systemic Quality Assurance: Act as the final authority on technical designs, rigorously reviewing architectural proposals to mitigate risks in performance, reliability, and security before they reach production.
• Agentic Systems Innovation: Drive the adoption of Agentic services and prediction models, architecting the orchestration layers that enable AI agents to solve intricate business problems for global stakeholders.
• Technical Mentorship & Culture: Actively coach a community of 30+ developers to improve the collective mastery of design-led development, advanced unit/functional testing practices, and modern coding standards.
• Strategic Collaboration: Partner closely with the Head of Engineering in Santa Clara to translate high-level global roadmaps into actionable technical strategies, ensuring seamless execution across geographic boundaries.
• Operational Excellence: Standardize the integration of complex data environments, ensuring that our architectural patterns support robust data engineering and AI-driven workflows at scale.

WHAT YOU BRING

• Software Engineering Mastery: 10+ years of professional experience in software development and architecture, including  hands-on coding skills in Python (preferred) or Java.
• Technical Influence: A proven "Architect-Coder" mindset with the ability to influence engineering culture through technical excellence, high-quality documentation, and a "quality-first" approach to testing.
• Cloud Architecture Expertise: Deep, hands-on experience architecting resilient microservices and distributed systems within AWS (specifically utilizing SQS, SNS, and SageMaker).
• Agentic AI Proficiency: A sophisticated understanding of Agentic AI architecture, including multi-agent orchestration, LLM-powered tool calling, and the integration of prediction models into business workflows.
• Complex Problem Solving: A track record of resolving highly complex technical challenges involving large-scale data engineering, enterprise integration, or AI-driven automation.
• Enterprise Tooling Integration: Professional familiarity with modern data and integration platforms such as Snowflake, dbt, Fivetran, SnapLogic, Boomi, or Reltio.
• In-Office Collaboration: We are primarily an in-office environment and therefore, you will be expected to work from the Prague office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

 #LI-ONSITE

Joining Collibra’s Support team

Collibra is looking for a high-impact Senior Support Engineer to serve as the final technical authority within our global support organization. In this role, you aren’t just a troubleshooter; you are an investigator, a mentor to our Customer Support Engineers, and the ultimate gatekeeper before a ticket reaches Product & Engineering.

You are motivated by the challenge of scaling a growing company and excited by the "hunt" for deep-seated bugs. You focus on quality, knowing exactly what to test to execute change with confidence. At Collibra, the customer is our “True North” and our Support team spearheads that commitment to excellence!

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.

Senior Support Engineers at Collibra are responsible for

• Being the Subject Matter Expert (SME), bridging the gap between customer-facing support and product development.
• Reviewing and validating complex tickets, ensuring every investigation is exhaustive and root causes are identified before escalating to Engineering.
• Identifying code defects and edge cases in our platform. You don't just find the "what"; you explain the "why."
• Improving observability by identifying logging and monitoring improvements and unblocking customers using our software.
• Acting as a mentor to the Global Support organization providing structured enablement, training sessions, and validated knowledgebase contributions.
• Participating in the on-call rotations when needed to ensure severe issues get addressed as soon as possible.
• Liaising with Product Managers and Engineering to clarify functional requirements and advocate for long-term fixes.
• Act as the final point of technical escalation, joining live sessions with key customers to resolve complex environmental issues and provide expert-level troubleshooting guidance

You Have

• 4+ years in a technical, customer-facing role (ideally SaaS) with at least 2+ years of hands-on development in Java or Python
• Advanced SQL proficiency and the technical depth to perform complex query optimization, alongside a proven track record of resolving intricate JDBC/ODBC integration hurdles and database-level firewall restrictions.
• A proven ability to conduct comprehensive log analysis within distributed environments, bringing together disparate system data to speed up troubleshooting and identify the exact fixes needed to resolve issues.
• A deep understanding of how SaaS platforms interact with on-premise data sources, including troubleshooting networks, proxies and SSL/TLS certificates
• Working knowledge of Kubernetes (K8s) and Linux environments.
• An understanding of metadata structures and data flows across cloud platforms (Snowflake, BigQuery), ETL tools (dbt, Informatica), and BI systems (Tableau, Power BI) (Nice to have)
• The ability to distill complex technical post-mortems into actionable insights for both customers and internal stakeholders.
• A bachelor’s degree or equivalent related working experience is required

• You must have work authorization to work in Prague, CZ.

You are

• A technical authority who brings deep product expertise to the table, serving as the recognized "go-to" expert in your specialized domains.
• An investigator at heart, excited by the challenge of hunting down bugs and resolving complex, non-obvious issues.
• The ultimate advocate for the customer, keeping their needs at the center of every technical decision.
• A technical mentor with the requisite skill to train and assist others, acting as a vital asset to the growth and success of the entire team.
• A collaborative professional who thrives in a cross-functional environment, synchronizing with diverse resources and always prioritizing the team’s collective success.

Measures of success

• Within your first month, you will master the Collibra landscape and our support protocols, partnering with support engineers to shadow their diagnostic processes.
• Within your third month, you will be an active member of our team, and be comfortable investigating issues independently.
• Within your sixth month, you will interact directly with Product Engineering teams to drive platform improvements. You will be the recognized SME for the most complex parts of the system.

Shape the Future of Financial Services with Capco

At Capco, we specialize in management consulting and software development, partnering with leading international banks and insurance companies across Western Europe. Our innovative approach and collaborative culture make us the ideal place for professionals looking to make an impact in financial services technology.

Want to learn more about our culture and people? Visit us: Capco Careers Slovakia

Why Join Us?

• Continuous Learning & Development – Access to technical and soft skills training, professional certifications, and full access to the Udemy online learning platform.
• Flexible Work Environment – we provide flexibility to work remotely from the home office within Czech Republic
• Attractive Benefits Package:
  ✅ Paid sick days
  ✅ 25 vacation days (regardless of age)
  ✅ Cafeteria provided by the Benefits plus services
  ✅ Fully paid meal vouchers
  ✅ Smartphone with 1TB data + Laptop
• Well-being & Community Engagement – mental health webinars, running challenges, sports activities, multisport card or participate in our volunteering days.
• Long-term career – Indefinite period contract with opportunities for career growth.

About the Role

We are building a modern enterprise data platform to support our next phase of digital transformation, including SAP integration, internal application evolution, and advanced BI capabilities.

We are seeking a Data Platform & Architecture Lead to design, own, and evolve how data flows across our organization. This role is focused on data architecture, integration, modeling and database administration.

You will play a critical role in establishing a scalable, well-governed data foundation that enables consistent reporting, operational insights, and future AI capabilities.

What You’ll Do

1. Own Enterprise Data Architecture

• Design and maintain the end-to-end data architecture across systems
• Define canonical data models that unify data from SAP, internal applications, and financial systems
• Establish standards for data structure, naming, and consistency

2. Design Data Pipelines & Orchestration

• Architect and oversee data pipelines and transformation layers
• Work with our internal ETL/orchestration platform to manage data flows
• Ensure scalability, reliability, and observability of pipelines

3. Lead Multi-System Integration

• Integrate data across:

• SAP
• Internal applications (Sales, Performance, Resourcing)
• Financial planning tools (e.g., Anaplan)

• Resolve inconsistencies and define a single source of truth

4. Enable BI & Analytics

• Design analytics-ready data models (fact/dimension structures)
• Partner with BI teams (Looker) to ensure consistent, scalable reporting
• Support metric standardization across the organization

5. Drive Data Strategy & Maturity

• Assess current data landscape and define a data maturity roadmap
• Introduce best practices in:

• Data governance
• Data quality
• Data lifecycle management

6. Collaborate Across Teams

• Work closely with Engineering, BI, and Business stakeholders
• Translate business requirements into scalable data solutions
• Act as a bridge between technical and functional teams

What We’re Looking For

Must-Have Experience

• Proven experience in Data Architecture or Senior Data Engineering roles
• Strong background in designing end-to-end data pipelines
• Experience with data modeling for analytics (fact/dimension, semantic layers)
• Experience integrating multiple systems (ERP, APIs, internal platforms)
• Proficiency in SQL and Python (or similar modern data tooling)
• Solid understanding of data warehousing and modern data architectures

Nice to Have

• Experience with orchestration tools (e.g., Airflow, Dagster, or similar)
• Familiarity with columnar databases (e.g., ClickHouse, Snowflake, BigQuery)
• Experience working with BI tools such as Looker
• Exposure to API-based data ingestion and semi-structured data (JSON)

How to Stand Out

Candidates who stand out will be able to clearly articulate:

• A data platform or architecture they have designed
• How they integrated multiple systems into a unified model
• How they enabled BI or analytics through data modeling

Your Hiring Journey

✅ Screening Call – Introductory chat with our recruiter
✅ Technical Interviews (1-2 rounds, depending on the project) – Discuss your skills with our experienced Capco colleagues
✅ Feedback & Offer – Receive an offer to join our team!

Why Capco? Because You Matter.

At Capco, we prioritize your career growth and well-being. You will have a personal coach to support your development and a flat hierarchy that encourages you to share and implement your ideas. Plus, our team events, sports activities, and networking opportunities help you stay connected and engaged beyond work.

Curious to learn more? Apply now – it only takes 5 minutes!

📩 Contact: Tomas Vanco – tomas.vanco@capco.com
💻 Connect on LinkedIn: Tomas Vanco | LinkedIn

#fulltime 

Data Scientist – Transportation & Logistics Intelligence

About the Role:

ShipMonk has built world-class infrastructure for shipping—our Virtual Carrier Network (VCN), claims systems, and logistics modeling are the rails. Now, we need the engine. We are seeking a Data Scientist – Transportation & Logistics Intelligence to transform our transportation systems to "predictive-first."

In this role, you won’t just be "analyzing data"—you’ll be building the autonomous logic that powers millions of shipments. You are the architect who will replace manual "if/then" rules with real-time, high-margin predictive models. Your mission is to bridge the gap between logistics physics and machine learning, ensuring that manual becomes modeled and reactive becomes predictive.

Desired Experience:

• Education: Master’s or PhD in Data Science, Statistics, Operations Research, or a related quantitative field (or equivalent practical experience).
• Data Core: 4+ years of experience building and deploying predictive models into production environments.
• Data Engineering: Strong proficiency with dbt and SQL within a Snowflake (or BigQuery/Redshift) environment. You should be comfortable collaborating on complex DAGs and version-controlled data pipelines.
• Logistics DNA: Previous experience in transportation, supply chain, or e-commerce logistics is a massive plus. You should understand the nuances of carrier performance, transit latencies, and "last-mile" variables.
• The Stack: Expert-level proficiency in Python and SQL. Experience with machine learning frameworks (e.g., Scikit-learn, XGBoost, PyTorch) and cloud-based data warehouses (Snowflake, BigQuery).
• Business Acumen: Ability to translate complex model outputs into "Margin impact" or "Conversion growth" for stakeholders.

Skills & Responsibilities:

• VCN Optimization (The Margin Engine): Build real-time risk/value models. You’ll build the logic that weighs package value vs. risk of loss to ensure we never overspend on "safe" routes or under-insure "risky" ones.
• Precision EDD (The Conversion Driver): You will develop dynamic Estimated Delivery Date (EDD) models that adjust in real-time based on live network health, weather, and historical carrier latency.
• Predictive "At-Risk" Intelligence: Build the "early warning system" for our warehouse and support teams. You’ll develop models that identify "lost" or delayed packages before a merchant or customer even notices—enabling proactive resolution and automated claims.
• Collaborative Data Preparation: Partner with Engineering to co-author and refine the dbt models and SQL transformations that power your work. You’ll ensure the "preparation layer" is optimized for feature engineering and model training.
• Scalable Modeling: Transform manual logistics workflows into autonomous systems. You’ll be responsible for ensuring our intelligence scales with our global warehouse footprint.
• Cross-functional Collaboration: Partner with Product Managers and Engineering teams to integrate your models directly into the ShipMonk application, moving from "insights on a slide" to "logic in the code."
• A/B Testing & Validation: Design and execute experiments to validate that your models are actually driving the expected increases in margin and delivery reliability.

About the Role:

We’re looking for a Product Manager who operates where data, strategy, and customer value meet. You’ll own and evolve our analytics domain, shaping the tools and experiences that transform raw data into clear, actionable insight. 

As the leader of the in-product Analytics team, you’ll push an already market-leading capability further by evolving dashboards from static reporting to intelligent systems powered by trend detection, predictive forecasting, anomaly identification, AI-generated insights and prescriptive recommendations that proactively guide customer decisions.

You will own one of Wrike’s most strategically important and highly adopted feature areas, used by our most active users across more than 17,000 customer accounts. This is not incremental optimization, it’s full ownership of the analytics experience end to end, from vision and data foundations to customer-facing insight delivery. You’ll set the direction, make the trade-offs, and drive execution for a capability that directly impacts enterprise decision-making, retention, and expansion.

Our Work Style:

You will have full ownership of the analytics roadmap and prioritization, with dedicated engineering and design resources aligned to this domain. This role operates with high autonomy and executive visibility, shaping not only feature delivery but the long-term direction of analytics across the Wrike platform.

Your Impact:

• Product strategy & roadmap: define and own the long-term vision and prioritization for Wrike’s in-product analytics, with a clear mandate to evolve the experience through AI-powered capabilities such as natural language querying, automated insight generation, forecasting and intelligent recommendations.

• Dashboard & visualization experience: lead the design and evolution of intuitive dashboard experiences, including customizable widgets (charts, tables, calendars), dynamic filtering/parameters, calculated fields, trend views, KPI blocks, and pivot capabilities that help customers understand and act on their data.

• Analytical infrastructure: Ensure the reliability and scalability of the data foundation powering customer-facing analytics, including well-structured data models, performant pipelines, real-time synchronization where applicable, and precise aggregation logic. Own and manage strategic partnerships with analytics technology providers such as Sisense and Snowflake to guarantee seamless integration, performance, and long-term platform evolution.

• Stakeholder engagement & adoption: Work with UX research, customer success, sales and enterprise customers to validate dashboard use cases, gather feedback on analytical needs and pain points, and drive adoption and value realization of analytics capabilities.

Your Qualifications:

• Experience: 4+ years of product management, preferably with SaaS products, with a strong track record in customer-facing analytics or reporting. 
• Customer-Centric Mindset: Strong empathy for customers and a passion for delivering exceptional user experiences.
• Product Discovery: You are experienced in conducting market research and user interviews to identify customer needs and pain points. You are also experienced in testing and validating potential solutions with real users to ensure that they effectively address the identified needs.
• Practical AI experience: Hands-on experience with leveraging AI technologies to streamline work and experience with the creation of AI-powered features.
• Collaboration Skills: Ability to work well with cross-functional teams and communicate effectively with many partners across different parts of the organization.

Why this Role is Unique:

• Intelligence transformation: lead Wrike’s evolution from reporting dashboards to proactive, AI-powered decision support.
• Strategic area ownership: Own a highly adopted, business-critical product area used across 17,000+ customer accounts.
• End-to-End scope: Shape everything from customer-facing insight experiences to underlying data models, pipelines, and strategic analytics partnerships.
• High autonomy, high visibility: Drive roadmap and long-term direction with dedicated resources and meaningful executive exposure.

Why Join Wrike?

• 5 Weeks of paid vacation
• Sick Leave Compensation 
  • 5 Paid Uncertified Sick Days
  • 2 weeks fully paid w/ medical certificate, additional 
  • 4 weeks paid at 80% salary rate
• Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity 
• 2 Volunteer Days
• Meal Vouchers (CZK 220 per working day)
• Annual Prague Travel Card (Lítačka)
• Hybrid Working Model
• Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus

What’s next?

• Exploratory call with a Recruiter 
• Meeting with Product Director
• Panel Interview with our representatives of Engineering & Design
• Home Task
• Final Interview with CP
  
  

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.



#LI-AV1

We are ShipMonk, and we provide logistics services in order fulfillment. Our main business is in the USA, but our modern platform is built by the Product Development team in Prague.

Here at ShipMonk, we process up to 100,000 orders per day in our peak season. Our book of business has more than 1,500 clients, which are small and medium e-shops, mostly based in the US. We offer the ShipMonk platform as the solution for the whole process.  It covers everything from stocking the items to shipping the ready packages to all corners of the world!

The Opportunity

We are looking for a Senior Data Platform Engineer to join our Research & Development team. We recently laid the foundation for our new Data Mart and are actively driving the adoption of a modern Data Platform across the company.

This is not a traditional pipeline-building role. We need an infrastructure-minded engineer to build the paved roads that empower our warehouse, finance, and business development domain teams to independently produce and consume reliable data. You will tackle complex architectural challenges, manage cloud compute costs at scale, and implement production-grade data reliability standards for a logistics network that processes up to 100,000 orders per day.

The Stack

We operate a modern data ecosystem and treat data infrastructure with the same rigor as our core software applications.

• Language: Python
• Storage & Compute: Snowflake
• Transformation & Orchestration: dbt, Airflow, Keboola
• Streaming & Integration: StreamKap, Zapier
• Governance & BI: DataHub, Metabase
• Infrastructure & Security: Terraform, AWS Fargate, Okta

The Impact

We don’t manage your hours; we manage outcomes. We value deep technical expertise paired with a strong product mindset. In this role, you are expected to:

• Platform Enablement: Build reliable, scalable infrastructure that allows domain teams to self-serve. You will shift the company toward decentralized data ownership (Data Mesh concepts) by providing the right tooling and architecture.
• Data Reliability Engineering (DRE): You genuinely care about data integrity. You will introduce rigorous Data Quality standards and SLO-based alerting systems to treat data freshness and accuracy as a high-availability production asset.
• FinOps & Scale: As our data volume and velocity increase, you will promote cost awareness and actively optimize our Snowflake compute, storage, and pipeline architectures.
• Strategic Migration: Guide the architectural transition by assisting data producers and consumers in migrating legacy data flows to our new, scalable Data Platform.
• Technical Ownership: Leverage Terraform and AWS Fargate to continuously improve, secure, and automate our underlying data infrastructure.

ShipMonk is a place where your engineering decisions have a visible, immediate impact on how goods move around the world. We are looking for colleagues who are ready to take ownership, challenge the status quo, and "get sh*t done."

Ready to build the platform that moves the physical world? [Apply via our recruiter – No Cover Letter Needed, Just your Profile/GitHub]

Job Overview

Wargaming is looking for a proactive, excited and determined Senior Game Data Analyst to strengthen the World of Tanks product analytics team.

We collect all kinds of information about the player behavior and  the events in the ‘WoT universe’: from economic, financial and detailed combat data to the precise coordinates of each shot and tank movement, interface telemetry and many others. All of them are routed to a singular database and are available for analysis 24/7.

You will be working with the WoT Product Team responsible for decision-making process, with the Data Warehouse team responsible for data storage, reports system and our infrastructure, as well as 60 analytics all over the world united under Wargaming Global Analyst Network.

What will you do?

• Helping deliver important analytical insights to managers and other product teams necessary for decision making.

• Use quantitative analysis to understand how the game is played and identify impact and growth opportunities.

• Participating in analytical maintenance for features, game events and modes throughout all development and release stages:

  • Pre-Production Analytics: modeling likely outcomes and risks from implementing new features, game modes and events into the game; predict the future events, product KPIs and metrics; providing analysis of their full development cycle (from concept to release);

  • Production Analytics: developing and preparing analytical reports, metrics and methodologies for evaluating features, game modes and events in operation; looking for anomalies and insights that help increase effectiveness of the product and its parts;

• Operation Analytics: creating and supporting analytical tools and interfaces (dashboards) for rapid updates on the status of the product and its subsystems delivered to the management and the responsible teams.

• Gather and formulate requirements, conduct analytical research from producers, PMs, UX/UI and game designers, developers, QA and artists.

• Presenting the research results and filling the product analytics knowledge base to share with other teams.

What are we looking for?

• 5+ years experience on a similar position.

• Understanding the principles of formalizing business tasks in research plans, as well as experience writing analytical reports and presenting their results.

• Advanced SQL knowledge.

• Experience with at least one data visualization solution (Tableau / Qlik / Microsoft Power BI, etc).

• Experience with Python/R and popular libraries for data processing and analysis.

• Great communication skills, both written and spoken, especially for non-technical audience.

• Written and spoken English (B1 and higher).

What additional skills will help you stand out?

• Being prepared to learn, take in and systemize vast amounts of data within a short time.

• Experience working with Cloudera Impala / Hive, Oracle SQL, Snowflake.

• Knowledge and practical application of machine learning algorithms.

• Rich gaming experience in different games and over 1000 World of Tanks battles.

Work mode

• Hybrid (2-3 days of work from the office) 

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Prague include:

• 5 weeks of Annual Leave per calendar year

• Additional paid time off 

• Sick Leave Compensation, Maternity & Paternity Leave Benefits  

• Career development and education opportunities within the company

• Meal card contribution

• Public transportation allowance

• Premium private healthcare

• Mental well-being program (iFeel)

• Multisport Employee discounts

• Personal Gaming Account 

• Coffee, fruits, and snacks in the office

• Company events

• Seniority Awards  

• Referral program - You can recommend the best talents to the company and receive a reward  

Please submit your CV in English to ensure smooth processing and review.

We are ShipMonk, and we provide logistics services in order fulfillment. Our main business is in the USA, but our modern platform is built by the Product Development team in Prague.

Here at ShipMonk, we process up to 100,000 orders per day in our peak season. Our book of business has more than 1,500 clients, which are small and medium e-shops, mostly based in the US. We offer the ShipMonk platform as the solution for the whole process.  It covers everything from stocking the items to shipping the ready packages to all corners of the world!

We are looking for an AI & Data Analyst in Prague to help us build our AI domain from the ground up. This is a pioneering role with full freedom to shape direction. You will drive real business value through initiatives like automated root cause analysis with AI agents. You will design the tools, processes, and projects while working closely with ShipMonk leadership. Join us in Prague and shape the future of how we use AI.

Key responsibilities

• Shape tools, processes, and bring real business value through data, AI and traditional ML.
• Take full ownership – dig in, figure things out, and get them done.
• Design and implement AI projects from prototypes to production.
• Balance technical complexity with business impact.
• Collaborate closely with business stakeholders and leadership.
• Explore and utilize our tech stack (and go beyond it when needed).

What You’ll Bring

• Experience with AI frameworks and tooling (Pydantic AI, Langfuse, or alternatives).
• Strong skills in Python and SQL, experience with analytical databases (Snowflake or similar).
• Familiarity with workflow orchestration (Airflow or similar).
• Ability to turn prototypes into production-ready solution using AI and ML.
• Pragmatic approach: balance between business value and technical complexity.
• Proactivity and autonomy – you don’t wait for perfect tasks.
• Strong communication skills for working with leadership and stakeholders.

Your team and stakeholders

For now you will be in tandem with Jana. She is an experienced go to person for our company leadership. In future you will also have other colleagues since we plan to scale this domain.

Why should you apply?

• You will attend our beautiful Karlín Offices with free snacks, grill parties and many educational events.
• This role has direct access to leadership, your work won’t get lost in layers of management.
• High autonomy from the start – no waiting for perfect tasks, you’ll own problems and solve them.
• We give you room to experiment, fail fast, and learn quickly.
• You will work in a small, tight team – your impact will be visible from the beginning.

Your key skills and capabilities: 

• Strong SQL and Python skills  

• Data modelling experience (dimensional, relational, or similar)  

• Experience building and maintaining backend systems  

• Familiarity with Microsoft Azure  

• Understanding of APIs, containers, and backend development best practices 

• Implementing cloud-native data platforms 

• Engineering scalable and reliable pipelines 

• Good knowledge of distributed computing with Spark 

• Understanding of cloud architecture principles and best practices 

• Hands-on experience in designing, deploying, and managing cloud resources 

• Agile ways of working 

• Experience in cloud automation and orchestration using tools such as CloudFormation or Terraform 

• Monitoring and performance tuning of cloud-based applications and services  

Nice to haves:  

• Experience with Snowflake, dbt, CubeJS 

• Experience with Databricks, PySpark, ML workflows  

• Experience with containerized deployments (Docker, Kubernetes, Azure Container Apps).  

• Frontend development experience (React, Next.js, TypeScript)  

• Infrastructure-as-code (Terraform, CloudFormation) 

• Model Deployment & Serving – Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance  

• Monitoring & Retraining – Set up model drift detection, performance monitoring, and automated retraining   

• ML Pipelines & CI/CD – Automate end-to-end ML workflows 

Key tasks:  

• Develop, maintain, and optimise backend services for our SaaS platform  

• Work with SQL and Python daily to build robust data pipelines and transformations  

• Model, structure, and query data to support product features and reporting  

• Integrate and maintain data ingestion flows (e.g., Fivetran, custom connectors)  

• Implement backend APIs (FastAPI) to power our web application  

• Work with our cloud environment (Azure - experience with AWS or GCP also valuable)  

• Collaborate with teammates to plan, build, and deploy features in an Agile way 

• Contribute to CI/CD workflows, monitoring, and infrastructure-as-code 

We expect you to have some knowledge about how to architect, design, develop, deploy, and operate a data platform.