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

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.

Architect the "Source of Truth" for a Global Marketplace

At Groupon, data isn't just a byproduct—it is the product. We are looking for a Senior Data Analytics Engineer to bridge the gap between raw infrastructure and business insight. You won't just write queries; you will architect the semantic layer of our data warehouse, ensuring that every dashboard, AI model, and executive decision is built on a foundation of trust.

This is a high-impact Individual Contributor role for a builder who loves SQL, obsesses over data modeling, and wants to solve complex problems at a global scale.

The AI Advantage 🤖

We don't just analyze AI; we build with it. You will work in an AI-First environment, leveraging LLMs (ChatGPT, Claude, Copilot) daily to:

• Accelerate SQL generation and refactoring.

• Automate documentation and data lineage.

• Build specific "Feature Stores" that power our Machine Learning models.

What You’ll Build & Own

• The Gold Layer: Design and maintain clean, reusable, and documented data marts in BigQuery that serve as the single source of truth for the company.

• Pipeline Orchestration: Build robust ELT pipelines using Airflow or Keboola. If a pipeline fails at 3 AM, your code is resilient enough to handle it.

• Performance Engineering: Optimize SQL for massive scale. You understand clustering, partitioning, and execution plans to ensure we process petabytes without burning the budget.

• Data Governance: Implement automated testing (dbt-style checks) to catch data drift before it hits the dashboard.

The Tech Stack

• Core: Google Cloud Platform (GCP), BigQuery.

• Orchestration: Airflow, Cloud Composer, Keboola.

• Languages: Advanced SQL (Mandatory), Python.

• Visualization: Tableau, Looker (Knowledge of the semantic layer).

Must-Haves

• 5+ Years Experience: You have a track record in Analytics Engineering, Data Engineering, or BI Development.

• SQL Mastery: You write production-grade code. You know the difference between a query that works and a query that scales.

• Data Modeling: Deep understanding of dimensional modeling (Kimball/Star Schema) and modern data stack patterns.

• Builder Mindset: You treat data assets like software products—versioned, tested, and documented.

Ready to build the data engine that powers the future of local commerce? Apply Now.

#LI-KH1 #LI-Hybrid

About the Role:  

Wrike’s Backend Reliability (BRE) team is the backbone of our backend infrastructure and the guardian of our uptime. Our mission is to achieve and sustain 99.99% availability while building the tools, components, and safety nets that the entire engineering organization relies on. As a Senior / Staff Backend Engineer on this team, you won’t just close tickets - you’ll architect core reliability solutions that shape how Wrike scales, performs, and recovers from failure.

Your Impact:  

• Design, build, and maintain critical reliability components such as HTTP rate limiters, internal DB schema migration tools, circuit breakers, and distributed Redis-based caching.  
• Troubleshoot complex production issues, optimize PostgreSQL usage, and ensure our distributed systems remain performant and stable under high load.  
• Lead preliminary investigations during severe production incidents: identify likely root causes, assess impact, and propose mitigation options. The long-term fixes are then implemented by the owning team, based on your findings.  
• Create scalable, reusable tools and frameworks that help other engineering teams build more resilient services.  
• Leverage AI-powered tools and coding agents to accelerate development, analyze architectures, and automate repetitive or error-prone tasks.  
• Influence reliability best practices across engineering by sharing knowledge, reviewing designs, and setting high technical standards.

Your Qualifications:  

• Strong expertise with Java/JVM, building scalable, high-performance backend systems; open to leveraging other languages when appropriate.  
• Solid understanding of distributed systems concepts, including high availability, CAP theorem, and fault tolerance.  
• Deep experience with relational databases (PostgreSQL) and key–value / non-relational storages (Redis).  
• Practical experience with containerization and cloud-native environments, including Docker and Kubernetes.  
• Hands-on experience with message brokers such as RabbitMQ or Kafka.  
• Ability to work independently with minimal supervision, using critical thinking to question assumptions and validate your own decisions.  
• Strong written and spoken English skills suitable for collaborating in an international engineering environment.

Standout Qualities:  

• Background in infrastructure engineering or Site Reliability Engineering (SRE), including infrastructure-as-code practices.  
• Experience leading technical initiatives, driving cross-team projects, and mentoring other engineers while remaining an individual contributor.  
• Familiarity with observability and monitoring stacks (e.g., Graylog, Zabbix, Grafana) and/or data analytics tools such as BigQuery.  
• A strong interest in how complex systems fail and a track record of designing them to recover gracefully.

Team Dynamics:  

You will join the Backend Reliability (BRE) team, a small, highly specialized, senior group focused solely on Wrike’s reliability. The team operates as an internal “reliability task force,” partnering closely with product and platform engineering teams across the company. You’ll collaborate with other senior engineers who value autonomy, deep technical discussions, and rigorous engineering practices. The culture is ownership-driven: you are trusted to manage your time, make architectural decisions, and drive initiatives to completion.

Our Work Style:  

The BRE team works on core backend and infrastructure services that support millions of users. We operate in a collaborative environment that values clear communication, thoughtful design, and fast feedback loops.  

• Tech focus areas include: Java/JVM-based services, PostgreSQL, Redis, Docker, Kubernetes, RabbitMQ/Kafka, and observability/monitoring tools.  
• We encourage the use of modern AI-based tooling and coding agents as part of daily development and troubleshooting workflows.  
• Work is organized with an emphasis on impact and reliability goals rather than ticket volume, giving you room for deep work and long-term improvements.  
• Hybrid work mode (Prague, Czech Republic / Nicosia, Cyprus), with flexibility to balance focused individual work and collaborative sessions.

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?

• Interview with a Recruiter
• Technical interview
• System Design Interview
• Cultural interview 
  

Your recruitment buddy will be Aleksandar Chernev, Senior Technical Recruiter.

#LI-AC1