Jobs Data & Analytics

Owns the technical direction, quality, and delivery enablement of the data platform within the team. Ensures scalable architecture, reliable releases, and strong engineering practices while enabling the team to deliver efficiently within defined engineering and release standards.

• Responsibilities:

  Architecture & Technical Ownership
  • Owns end-to-end technical design across Snowflake, dbt, ADF, and Azure components
  • Acts as the final technical decision authority within the team
  • Ensures alignment with enterprise architecture and data governance standards
  • Maintains architecture documentation and diagrams
  ________________________________________
  Engineering Excellence
  • Defines and enforces coding standards and best practices
  • Reviews critical PRs and ensures maintainability and scalability
  • Drives performance optimization and cost efficiency
  • Continuously improves development efficiency by reducing technical complexity and removing bottlenecks
  ________________________________________
  CI/CD & Release Ownership
  • Owns and improves CI/CD pipelines and deployment processes
  • Defines and enforces the release process, ensuring it is standardized and consistently followed
  • Establishes release criteria based on Definition of Done, testing, and required approvals
  • Ensures all changes meet release criteria before deployment to production
  • Oversees and coordinates production releases, including validation of readiness and risk assessment
  • Has authority to block releases that do not meet defined quality and governance standards
  • Ensures pipelines enforce quality gates (tests, validations, approvals where required)
  • Continuously improves release safety and reduces production incidents
  ________________________________________
  Quality & Definition of Done
  • Ensures adherence to Definition of Done (including testing and documentation)
  • Works with QA and team to ensure test coverage aligns with acceptance criteria
  ________________________________________
  Team Enablement & Mentoring
  • Mentors engineers and supports technical growth
  • Leads knowledge sharing and supports complex problem-solving
  ________________________________________
  Planning & Delivery Support
  • Contributes to sprint planning with technical estimates, risks, and dependencies
  • Owns identification and prioritization of technical debt in collaboration with the Product Owner
  ________________________________________
  Production Ownership
  • Leads incident analysis and root cause resolution
  • Ensures monitoring, alerting, and data quality validation mechanisms are in place across pipelines and in production
  • Maintains runbooks for operational readiness
  ________________________________________
  Ways of Working
  • Collaborates closely with Product Owner and Scrum Master to align technical delivery with business priorities; supports team continuity and helps facilitate meetings when the Scrum Master is absent
  • Proactively works with upstream data source teams and other squads to resolve cross-team dependencies, data issues, and production bugs
  • Drives technical alignment across teams/squads where shared data models, pipelines, or integrations are involved
  • Acts as the primary technical point of contact for external teams and stakeholders

• Mandatory Skills Description:

  7+ experience in Data Engineering and development of DWH solutions
  Hands-on experience with Snowflake, dbt, Azure Data Factory
  Experience with Azure Cloud Solutions, Azure DevOps
  Practical experience and understanding of CI/CD processes
  Experience of technical leadership in Agile SDLC

• Nice-to-Have Skills Description:

  Experience with AWS and/or GCP cloud solutions
  Certifications related to DWH

Acropolium, together with its international partner in the energy industry, is looking for an experienced Data Engineer to join a project focused on GDPR compliance and enterprise data lifecycle management.

You will become part of the agile Unlocking & Deletion team, responsible for developing and maintaining an end-to-end data deletion process across multiple enterprise systems. The team builds and enhances the GDPR Orchestrator, ensuring secure, compliant, and automated deletion workflows in accordance with GDPR requirements.

Project Details

• Industry: Energy
• Start Date: August 1, 2026
• End Date: December 31, 2026 (extension possible)
• Location: 100% Remote
• Workload: Full-time
• Languages: German (B2+) and English (B2+)

Responsibilities

• Develop and enhance the GDPR Orchestrator using Apache Airflow and Azure Data Factory
• Integrate new enterprise systems into the end-to-end data deletion process
• Implement new GDPR-compliant deletion scenarios across existing systems
• Optimize data deletion workflows and overall process efficiency
• Reduce technical debt and improve maintainability
• Advise the team on enhancements related to Snowflake and data selection strategies
• Collaborate with technical and business stakeholders to deliver reliable data solutions

Requirements

• Strong commercial experience with Azure Data Factory
• Strong experience with Apache Airflow
• Advanced SQL skills
• Solid understanding of Data Warehousing concepts
• Experience designing and optimizing ETL/ELT pipelines
• Good communication and stakeholder management skills
• Self-driven, organized, and proactive working style
• German – B2 or higher
• English – B2 or higher

Nice to Have

• Experience with Snowflake
• Experience with GDPR compliance and data deletion processes
• Experience working with enterprise data platforms
• Knowledge of cloud-based data architectures

Our Hiring Process

• Intro Call with Recruiter
• Technical Interview
• Client Interview
• Offer Stage

What We Offer
Culture & People-First Approach

• 💙 On average, team members stay at Acropolium for more than 5 years
• 🤝 Strong internal communication & empathy — we're human-first, KPI-second
• 👨‍👩‍👧‍👦 Family values & social engagement are encouraged
• 👋 Warm onboarding and supportive team environment
• 🗣️ Open communication, feedback culture, and support for individual growth

Employee Well-being & Development
 

• 🎖️ Ongoing care and support for employees serving in the military
• 📚 Learning culture with internal knowledge sharing and support for external courses
• 🧭 Personal Development Plans (PDPs) to support long-term career growth

Who We Are

At Bennett Data Science, we've been pioneering the use of predictive analytics and data science for over a decade for some of the biggest brands and retailers. We're at the top of our field because we focus on delivering actionable AI for our clients. Our deep experience and product-first attitude set us apart from other groups and gets us the business results our clients want.

Why You Should Work With Us

You'll be exposed to a wide range of clients who are at the cutting edge of innovation in their field and get to work on fascinating problems, supporting real products, with real data. We help lots of companies, from some of the largest companies in the world to small startups in Silicon Valley who are building the next big thing.

Expert Mentorship: Direct guidance from senior staff with 20+ years of applied ML experience

Competitive Compensation: Market-rate pay with performance upside

Fully Remote: Work from any location of your choice, on a flexible schedule

Real Impact: Your models go into production and serve real users

The Role:

As a Senior Data Scientist, you will design, build, and deploy RAG systems and other AI solutions that help teams manage land, infrastructure, and stakeholder relationships more effectively. You'll work with large volumes of documents, permits, geospatial records, and stakeholder communications, turning unstructured and semi-structured data into reliable, queryable intelligence.

You'll own projects end-to-end: scoping the problem with internal and client-facing stakeholders, selecting retrieval and generation strategies, building and evaluating pipelines, and iterating on production systems alongside senior data engineers. You'll also contribute to the team's broader ML work: classification, extraction, geospatial modeling, and mentor junior team members as the practice grows.

This is a hands-on, senior individual contributor role. You'll need to be as comfortable explaining tradeoffs to a non-technical project manager as you are tuning a reranker or debugging retrieval recall. Client-facing communication is part of the job.

Requirements

A successful candidate has 5+ years of experience in applied data science and machine learning, with deep hands-on expertise in retrieval-augmented generation and a strong statistical foundation. They demonstrate the following:

RAG & Generative AI (Core Focus)

• Proven experience designing, building, and deploying RAG-based systems in production, including chunking strategies, embedding model selection, retrieval tuning, and reranking
• Strong understanding of hallucination mitigation techniques (grounding, citation enforcement, context window management, guardrails) and the ability to articulate tradeoffs across architectures
• Experience evaluating RAG pipeline quality end-to-end: retrieval recall, answer faithfulness, latency, and cost
• Familiarity with vector databases and hybrid search (e.g., Databricks, Pinecone, pgvector, or OpenSearch)

Applied ML & Engineering

• Production ML experience: building, deploying, and maintaining models that serve real users at scale
• Strong Python skills including scikit-learn, pandas, NumPy, and at least one deep learning framework (PyTorch or TensorFlow)

• Solid statistical foundation: hypothesis testing, distributions, probability, experimental design

   

Communication & Working Style

• Experience translating model behavior, recommendations, and limitations for non-technical stakeholders, particularly in domains where trust and accuracy are critical
• Comfort working independently across multiple projects simultaneously
• English proficiency at B2 or above (written and spoken)
  Project Ownership, Communication & Delivery
• Strong client-facing communication skills, including communicating progress, identifying risks, and presenting technical decisions clearly
• Ability to translate business requirements into well-defined technical plans, milestones, and deliverables
• Demonstrated accountability for the quality, timeliness, and completeness of project outcomes
• Ability to explain model behavior, recommendations, tradeoffs, and limitations to non-technical audiences, particularly in domains where trust and accuracy are critical
• Comfort working independently

Nice to Have

• Experience applying LLMs or transformer-based NLP for structured text classification, information extraction, or embedding-based retrieval
• Geospatial feature engineering, location-based statistics, spatial indexing, or proximity scoring, particularly in land, infrastructure, or utility corridor contexts
• Experience with Vision-Language Models (VLMs) or satellite/aerial imagery analysis for document or land parcel interpretation
• Experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI)
• Exposure to utilities, energy, infrastructure, land management, or enterprise SaaS domains
• Experience fine-tuning or adapting pre-trained models (LoRA, PEFT, or full fine-tune)
• Experience with agentic architectures and deployments

Stay Group is an innovative marketing company building and scaling products in the iGaming and entertainment industry.

We are looking for a Product Analyst who will play a key role in driving product and business decisions through data.

This role sits at the intersection of product, marketing, and analytics, helping teams understand performance, identify growth opportunities, and make data-driven decisions.
 

Requirements:

• 3+ years of experience as a Data Analyst, Product Analyst, or Business Analyst.
• Strong ownership mindset with the ability to independently drive analysis from request to business impact.
• Advanced SQL skills (joins, CTEs, window functions, query optimization).
• Experience with BI tools such as Tableau, Power BI, Looker, or similar.
• Proficiency in Python (Pandas, APIs, automation scripts).
• Experience working with Data Warehouses (BigQuery, ClickHouse, Snowflake, or similar).
• Strong understanding of product analytics, including funnels, retention, and cohort analysis.
• Experience working with marketing metrics such as CAC, LTV, ROMI, and attribution.
• Hands-on experience designing and evaluating A/B tests using statistical methods.

Responsibilities:

Data & Analytics

• Extract, validate, and maintain high-quality data from multiple sources.
• Conduct deep-dive analyses to identify trends, patterns, risks, and growth opportunities.
• Build and maintain dashboards and visualizations for product and business teams.

Product & Marketing Analysis

• Analyze product funnels, user behavior, retention, and engagement metrics.
• Evaluate marketing performance across channels, campaigns, and budgets.
• Work with key business metrics, including CAC, LTV, ROMI, attribution, and cohort analysis.

Reporting & Insights

• Prepare regular reports on product and business performance.
• Provide actionable insights and data-driven recommendations.
• Support stakeholders with analytical findings to enable informed business decisions.

Automation & Optimization

• Automate reporting processes and recurring analytical tasks.
• Improve reporting systems, data pipelines, and analytical workflows.
• Increase operational efficiency by reducing manual reporting and analysis.

Cross-functional Collaboration

• Partner closely with Product, Marketing, and Business teams.
• Translate business requirements into analytical solutions.
• Support product development and strategic initiatives through data insights.

Additional Responsibilities

• Analyze partner network performance and identify growth opportunities.
• Measure the impact of product changes before and after releases.
• Monitor payment-related metrics, identify anomalies, and investigate performance issues.
   

Benefits:

• Freedom to choose where to work: work from anywhere in the world with the freedom of remote options.
• Flexibility: enjoy flexible working hours that let you balance your personal and professional life while staying focused on delivering great results.
• Corporate English speaking club: improve your English proficiency with regular practice and expert guidance.
• A Culture That Cares: thrive in a friendly environment where a strong corporate culture builds connections, drives innovation, and makes you feel truly valued.
• Accelerate Your Growth: seize career advancement opportunities in a rapidly expanding marketing company. As the company scales, so will your professional journey.

Key Responsibilities  

• Design, build, and maintain scalable, reliable data pipelines (batch and streaming).  
• Develop and optimise data models, warehouses, and lakehouse architectures.  
• Build and automate CI/CD pipelines for data workflows and deployments.  
• Ensure data quality, integrity, lineage, and governance across environments.  
• Implement proactive monitoring and alerting for pipelines and data infrastructure (CloudWatch, Grafana).  
• Manage IaC for consistent, reliable data infrastructure.  
• Troubleshoot and optimise pipeline and query performance across environments.  
• Lead incident resolution and root cause analysis for data systems.  
• Collaborate with analysts, data scientists, and engineering teams, ensuring security, scalability, and operational excellence to understand data requirements and translate them into technical solutions  
• Document data architecture, lineage, and workflows  

Must have  

• 5+ years in data engineering, with solid DevOps/platform engineering exposure.  
• Strong SQL and data modelling skills (dimensional, normalised, lakehouse).  
• Proficient in Python; working knowledge of Scala, Java, or Go.  
• Hands-on experience with data pipeline/orchestration tools (Airflow, DBT).  
• Experience with distributed processing frameworks (Spark, Flink, or similar).  
• Advanced AWS expertise (Glue, EMR, Redshift, Athena, S3, Lambda, Kinesis).  
• CI/CD tools (GitHub Actions, GitLab CI, Jenkins, CircleCI).  
• Infrastructure as Code (CDK, CloudFormation).  
• Experience with streaming/event-driven architecture (Kafka, Kinesis, Apache Flink, or Pub/Sub).  
• Observability tools: Grafana, CloudWatch.  
• Expertise with data warehouse platforms (Redshift, Snowflake).  

Desirable  

• Experience with containerisation and orchestration (Docker, ECS, Kubernetes).  
• Understanding of data governance, cataloguing, and security/compliance (GDPR, lineage tools).  
• Experience with GitHub Enterprise, Atlassian APIs, and Slack bots.  
• Understanding of cost optimisation strategies in multi-cloud and data warehouse environments.  

We are looking for a proactive and detail-oriented Business Analyst to join our team.
 

Requirements

- 2+ years of experience as a Business Analyst in IT projects

- Strong skills in gathering, analyzing, and documenting business requirements

- Experience creating BRDs, FRDs, user stories, use cases, and process flows

- Knowledge of Agile/Scrum methodologies

- Experience working with Jira, Confluence, Miro, or similar tools

- Strong communication and stakeholder management skills

- Upper-Intermediate English or higher
 

Responsibilities

- Gather and analyze business requirements from stakeholders

- Translate business needs into clear functional requirements

- Create and maintain project documentation

- Work closely with developers, designers, QA engineers, and product managers

- Participate in backlog grooming, sprint planning, and other Agile ceremonies

- Support the team throughout the software development lifecycle
 

Nice to Have

- Experience in SaaS products

- Knowledge of BPMN, UML, or process modeling techniques

- Experience working with APIs and integrations

- Technical background or understanding of software architecture

We are looking for AI/LLM Engineer to join our team and work on cutting-edge AI solutions based on modern Large Language Models. You will be involved in building, fine-tuning, and optimizing AI systems, integrating LLMs into products, and developing scalable AI pipelines and agent-based architectures.

Requirements:

- Commercial experience with Python

- Experience with LLMs

- Strong understanding of prompt engineering

- Experience with AI agent orchestration frameworks

- English level Upper-Intermediate

Responsibilities:

- Develop and optimize AI/LLM-based solutions

- Fine-tune and customize open-source language models

- Build RAG pipelines and embedding-based search systems

- Design and maintain AI agents and orchestration flows

- Collaborate with engineering and product teams

- Research and implement new AI technologies and approaches

Nice to Have:

- Experience with LangChain, LlamaIndex, AutoGen, CrewAI, or similar frameworks

- Knowledge of GPU infrastructure and model deployment

- Experience with Docker and cloud platforms

- Understanding of transformers architecture and Hugging Face ecosystem

We are expanding our Business Analysis team and are looking for a Business Analyst with  eCommerce expertise who wants to move beyond execution and operate closer to business, architecture, and delivery decisions.
 

🔑 What You Will Do:

• Lead discovery from initial client conversations to solution direction
• Translate business needs into scalable commerce solutions together with architects and delivery teams
• Identify opportunities to improve platforms, integrations, and customer journeys
• Support pre-sales through discovery workshops, scoping, and solution alignment
• Partner with Sales, Delivery, and Account teams to connect business value with execution
• Mentor Business Analysts and help evolve BA standards and practices
• Act as a trusted advisor helping clients make confident product and technology decisions

🧩 What We Expect:

• 3+ years of experience in Business Analysis, Product Discovery, or IT consulting
• Strong background in eCommerce and digital platforms
• Deep understanding of Shopify and/or Magento architectures and ecosystems
• Experience with integrations (ERP, PIM, CRM, payments, fulfillment systems)
• Understanding of performance optimization, data flows, and headless/composable approaches
• Experience supporting or participating in pre-sales engagements
• Ability to run discovery interviews and workshops with stakeholders
• Skill in structuring ambiguous inputs into clear roadmaps and solution directions
• Ability to explain technical decisions in terms of business value
• Experience in service-based environments where delivery and client impact both matter
• Advanced English (spoken and written)

We are looking for a CRM / Retention Analyst to support our CRM and Retention teams with data-driven insights and identify growth opportunities for LTV and player retention through behavioral and communication performance analysis.

HOW YOU WILL MAKE AN IMPACT:

• Analyze key retention metrics: FTD → repeat deposits, churn rate, retention cohorts, LTV, ARPU/ARPPU, deposit frequency.
• Build and maintain analytical reports and dashboards for CRM campaigns, player segments, and promotions.
• Evaluate the effectiveness of CRM communications (Email, SMS, Push, In-App, Onsite) including open rate, CTR, and deposit conversion.
• Conduct cohort and behavioral analysis by GEO, acquisition source, player type, and deposit patterns.
• Support player segmentation (RFM, deposit segments, churn segments, VIP logic).
• Design and analyze A/B tests for CRM campaigns.
• Identify insights and opportunities to improve retention, player lifecycle, and revenue.
• Analyze player activity, sessions, games, and content performance to understand impact on retention.
• Provide data-driven insights and recommendations to CRM, Product, and VIP teams.

WHAT WILL HELP YOU SUCCEED IN THE ROLE:

• 2+ years of experience as a Data / Product / Business Analyst
• Strong SQL skills
• Experience with BI tools (Power BI, Tableau, Looker, Metabase, or similar)
• Understanding of key product analytics metrics (LTV, ARPU, ARPPU, churn, cohorts)
• Experience with retention and cohort analysis
• Ability to work with large datasets
• Ability to translate data into clear business insights
• Experience with A/B testing or CRM analytics is a plus
• Experience in iGaming / betting / gaming / fintech / subscription products is a plus

WHY YOU’LL LOVE IT HERE:

• Flexible working hours and a remote work setup, so you can plan work around your life and not your life around work!
• Unlimited vacation days and paid sick leave—because your rest matters.
• A competitive compensation that truly reflects your skills and expertise.
• Employee referral bonus and gifts to celebrate your special occasions.
• 50% financial support for learning expenses to supercharge your professional growth!
• A positive atmosphere where you always feel respected and truly belong.
• Inspirational team-building activities that turn colleagues into best friends.
• Wellness benefits: We’ll support your sports passions, from yoga classes to gym memberships.
• Co-working space reimbursement to save your nerves from always working from home :)

We are looking for a Marketing Analyst (Web Acquisition). Our Analytics team is looking for someone to take ownership of how we measure, understand, and improve paid traffic across our web products. You will analyze the performance of acquisition campaigns, dig into traffic quality and monetization, and turn raw data into dashboards and recommendations that our marketing and User Acquisition teams act on daily. It's a hands-on role for someone who treats SQL, BI, and Python as everyday tools, is comfortable testing hypotheses alongside performance marketers, and wants their analysis to directly shape how we scale acquisition across millions of users in Tier-1 and international markets.
 

About the company: United Tech is a global IT product company shaping the future of real-time social connection. With millions of users across North America, Europe, LATAM, and MENA, we build next-gen mobile and web apps for live-streaming and social networking. Our platforms enable connection at scale - fast, interactive, and deeply engaging. The market is projected to exceed $206B by 2030, and we are already leading the evolution. Founded in Ukraine, scaling worldwide.

In this role, you will

• Analyze the performance of advertising campaigns
• Search for growth points in marketing metrics
• Build and automate marketing dashboards
• Analyze the quality of acquired traffic and its monetization
• Develop recommendations for the marketing team
• Test hypotheses on ad campaign optimization together with the User Acquisition team

• Draw conclusions and propose solutions that improve traffic-buying efficiency and marketing ROI

   

It's all about you

• 2+ years of experience in marketing or product analytics
• Strong SQL skills
• Hands-on experience with BI tools (Tableau or similar)
• Solid understanding of statistics
• Experience with Python
• Understanding of web attribution and performance marketing
• Experience collaborating with User Acquisition teams and supporting data-driven decisions
• Strong analytical thinking and attention to detail
• Ability to identify root causes of changes, not just describe the numbers
• Ability to build and defend clear business conclusions and recommendations
• Proactive mindset and strong communication skills

Would be a plus

• Experience with A/B testing
• Experience using AI tools such as Claude in your analytical work

What we offer

Care and support:

• 20 paid vacation days, 15 sick leave days, and 6 additional days off for family events
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Maternity Recovery Support Allowance
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule
• Modern equipment or depreciation of your own tools

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Access to premium AI tools and technologies
• Corporate library, book club, and knowledge-sharing events

Hiring process

• Intro call
• Technical Interview
• Bar-raising
• Reference check
• Offer

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

PwC is seeking an experienced Databricks Platform Engineer to accelerate the maturation of our Databricks platform as a core component of the firm’s Data Mesh and AI-first strategy. This role will help shape the architectural direction, governance model, and enterprise standards that underpin secure and scalable Databricks adoption.

Role Overview

The Databricks Platform Engineer  will be responsible for executing against this strategy by driving service optimization, implementing advanced platform capabilities, and partnering with Product and Engineering teams to enable enterprise-scale adoption across client and corporate use cases.

Key Responsibilities:

• Lead the rollout and optimization of Databricks services at the PwC account level.
• Implement advanced capabilities including Unity Catalog, AI/ML models, Delta Sharing, Automatic Identity Management (AIM/SCIM), and Budget Policies for cost governance and tagging.
• Collaborate with Databricks and PwC platform teams to enhance and enable secure data exchange.
• Support networking design and optimization across Databricks environments.
• Partner with Product and Engineering teams to refine user experience, service provisioning models, and upcoming Databricks capabilities.
• Coordinate cross-functional efforts to enable AI-driven workflows and advanced analytics capabilities within Databricks.

Required Qualifications:

• 5+ years of experience in data engineering, cloud data platforms, or platform architecture.
• 3+ years of hands-on experience with Databricks or comparable modern data platforms.
• Expertise in Unity Catalog, Delta Sharing, Compute (classic and serverless), Microsoft Entra ID (SCIM/AIM), and Azure networking.
• Strong understanding of data governance, access control models, and FinOps best practices.
• Excellent communication skills with the ability to translate complex technical solutions into business value.

Preferred Qualifications:

• Databricks Certified Professional or Azure Databricks Certification.
• Hands-on experience with Databricks, Microsoft Fabric / OneLake, or other enterprise data platforms.
• Prior consulting experience or enterprise-scale platform transformation experience.

Policy statements:
https://www.pwc.com/ua/uk/about/privacy.html

We are looking for a proactive and experienced Senior Microsoft 365 Engineer on a senior level to join our team and help operate, maintain, and continuously improve our Microsoft 365 platform in a large-scale enterprise environment. You are a self-driven professional with strong technical expertise, a passion for automation, and a proven track record of delivering sustainable solutions instead of temporary fixes. You proactively identify opportunities for improvement, take ownership of complex initiatives, and collaborate effectively with stakeholders across the organization

Requirements for the candidate:
Several years of professional experience as a Microsoft 365 Engineer.
Proven experience operating, administering, and continuously improving Microsoft 365 in complex enterprise environments supporting several thousand users.

Strong expertise in:
- Microsoft 365
- Exchange Online
- Microsoft Teams
- SharePoint Online
- OneDrive for Business
- Microsoft Entra ID (including app registration and Enterprise applications)
- Strong PowerShell skills to automate reoccurring tasks.
- Hands-on experience with hybrid environments, including Active Directory and Microsoft Entra Connect.
- Experience with M&A, carve-out, or post-merger integration projects.
- Experience planning and executing complex Microsoft 365 migrations, tenant consolidations, and tenant decommissioning projects.
- A structured and solution-oriented approach with a strong focus on quality.
- Excellent communication skills with the ability to explain technical concepts to non-tech stakeholders.
- Fluent English, both written and spoken. German is a plus.

Candidate responsibilities
- Operate and support Microsoft 365 enterprise services.
- Support the existing team in administering and continuously improving the Microsoft 365 platform.
- Administer, troubleshoot, and optimize Exchange Online, Microsoft Teams, SharePoint Online, OneDrive, and Microsoft Entra ID.
- Automate administrative processes using PowerShell and Microsoft Graph.
- Plan and execute complex Microsoft 365 tenant decommissioning projects.
- Act as point of contact for our User Services team, providing technical guidance and assisting with the troubleshooting of issues affecting the Microsoft 365 platform.
- Analyze and resolve complex technical issues as part of the 3rd Level Support team.
- Create and maintain technical documentation, standards, and operational procedures.
- Collaborate with stakeholders across teams
- Drive Microsoft 365 and Entra ID cleanup activities related to post-integration technical debt, (ex: distribution lists, shared mailboxes, SharePoint sites, Teams, and access-related objects)
- Drive Microsoft 365 related backlog reduction by analyzing recurring support patterns, resolving prioritized issues, and turning repeatable requests into automation, documentation, or sustainable platform improvements

TodaPay is an international fintech company operating in the digital payments and financial infrastructure space across multiple jurisdictions. We support high-growth payment operations with multi-currency transactions, crypto payments, and complex corporate structures.
We are looking for a detail-oriented and proactive Accountant to join our Finance team and support core accounting operations, financial reporting, payroll processing, and coordination with external accountants and auditors across jurisdictions.

Requirements
Experience
• 3+ years in a Business Analyst or Systems Analyst role
• Required: experience in fintech, payment systems, or banking
• Experience with payment processes: acquiring, processing, PSP/PayFac — preferred
• Participation in Agile/Scrum teams: grooming, planning, retrospectives

Technical Knowledge
• Proficiency in BPMN 2.0, UML (Use Case Diagram, Sequence Diagram, Activity Diagram)
• Understanding of the transaction lifecycle: auth → capture → settlement → reconciliation
• Knowledge of dispute resolution and chargeback processes (Visa / Mastercard rules)
• Experience with REST API documentation: reading, writing, testing via Postman / Swagger
• Basic understanding of PCI DSS scope, AML/KYC requirements in the context of payment systems
• Proficiency with tools: Confluence, Notion, Jira/Linear, Miro/Lucidchart

Personal Qualities
• Systems thinking: sees the process as a whole, not just within the scope of a task
• High attention to detail in specifications and edge cases
• Proactive: asks the right questions, doesn't wait for a ready-made spec
• Clear written and verbal communication in English
• Comfortable at the intersection of business and technology; doesn't shy away from developer
conversations

Responsibilities
Requirements & Documentation
• Gathering business requirements from stakeholders: commercial, risk, compliance, merchants
• Writing functional specifications, user stories, and acceptance criteria (Definition of Done)
• Modeling business processes in BPMN 2.0 notation — AS-IS and TO-BE
• Maintaining and updating product documentation in Confluence / Notion

Payment Processes
• Describing and optimizing payment flows: authorization, clearing, settlement, refunds, chargebacks
• Analyzing and documenting transaction routing logic and waterfall strategies
• Gap analysis during platform consolidation and merchant migration
• Supporting integrations with acquirers and PSP providers via REST API / ISO 8583

Team Collaboration
• Active participation in grooming, sprint planning, UAT, and demos
• Close collaboration with Product Owner, developers, and QA
• Communication with compliance/risk on regulatory requirements (PCI DSS, AML/KYC)
• Preparing training materials for operations teams and merchants

Nice to have
• Understanding of high-risk market specifics and regulatory constraints
• Knowledge of financial messaging protocols (ISO 8583/ISO 20022)
• Hands-on experience describing and automating rolling reserves and dispute management processes
• Participation in consolidation or re-platforming projects in fintech

We offer 

• Opportunity to work in a fast-growing international fintech company
• Professional growth opportunities alongside with company 
• 24  paid vacation days per year and 5 paid sick leave days per year
• 10 Public holidays days 
• An opportunity to work full remote or hybrid flexibility 
• Collaborative and friendly team 
• Professional education budget after 6 months working in the company 
• Birthday gift bonus for all our employees

We are looking for a Senior Data Analyst to join our global team. This is not a standard analyst role. We are building a dynamic identity resolution system where AI is deeply integrated — both as a productivity multiplier and as a core component of our data processing logic for identity resolution and LLM-based scoring.

We run enrichment against 70+ TB of data, apply AI and LLM-based scoring on top, and process around 20 million enrichment operations per day across hundreds of thousands of records.

The analytical challenges ahead are substantial: how to measure the quality of AI-driven scoring, how to validate that a change makes the system better, how to know where our money and time deliver the most value, and how to turn the questions our internal teams bring in into fast data-backed answers. You will own this side of the business, working daily alongside engineers and the product lead to turn these challenges into decisions that ship.

The main part of the role is not building dashboards — it is the data work that makes a meaningful dashboard possible in the first place.

 Concretely, you will be:

• Looking at data from multiple vendors side by side and deciding what to trust.
• Reconciling entities across sources that have different shapes and quality.
• Proposing and validating the logic that matches and scores them.
• Defining metrics and ground truth for questions nobody has asked before.
• Tracing why numbers don't line up across partial and sometimes contradictory sources.
  
  Responsibilities:
• Measurement & Evaluation Foundations: Define how we measure what matters — data quality, the accuracy of our AI scoring, how many records actually get matched to usable signals, cost per outcome. Build the feedback loops that tell us whether a change makes the system better or worse.

• Scoring Intelligence (co-owned with engineers): Partner with the engineering team on the LLM-based scoring system. You will build the evaluation framework for AI scoring, run experiments comparing prompts, models, and approaches against a baseline, and make data-backed calls on where we invest next. Our AI scoring system is actively evolving — you will shape how we measure and improve it.

• Client-related Analysis: Own the analytical side of the work that internal sales and media-buying teams bring in from pharma clients — how reachable a target audience is, how good the data looks, why a campaign performed the way it did. You turn their questions into data-backed answers they can use. Identity is a product core; the analyst works with internal teams, not with clients directly.

• Cost and Value Analysis: Turn cost and value into product decisions. Which data sources and enrichment scenarios pay off, where we overspend, what to cache, what to cut. We operate a mix of free owned data and paid external providers — the decisions have real dollar impact.

• Active AI Usage: Use Claude Code and modern AI engineering tools to multiply your own output. Automate the repetitive parts of analysis so you can focus on the decisions. We provide Claude Code licenses and expect active daily use.

• Data Quality Response: When pipeline output drifts, a provider degrades, or upstream data shifts, you notice first, diagnose the root cause, and drive the fix. You treat data quality as a product, not a ticket queue.
   

Requirements:

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team (not consultancy, not BI-only roles).
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. You can read and write complex queries on tens of terabytes without someone pre-modelling the data for you.
• Python for analysis at a working level — pandas, Jupyter, or modern equivalents. Comfortable putting together a small script or helper when an existing tool doesn't cover your case.
• Built measurement or evaluation frameworks from scratch for systems that had no baseline. You are comfortable defining what and how to measure, not consuming someone else's KPI.
• Comfort with probabilistic systems. You understand that noise is inherent and 100% accuracy is not the goal — scoring, matching, ranking.
• AI-native workflow. You already use Claude Code, ChatGPT, Copilot, or similar AI tools daily and integrate them into your analytical process.
• English: B2+ (Upper-Intermediate) or higher.

Strong plus (one or more)

• LLM evaluation experience — A/B testing AI-powered features, output scoring, prompt iteration with measurable outcomes.
• Identity resolution / identity graph experience — adtech, martech, or customer data platform context (LiveIntent, LiveRamp, Epsilon, Experian Marketing, Acxiom, Merkle, or similar).
• Healthcare or pharma data — working with NPI, HCP-level data, healthcare taxonomies, pharma targeting.
   

Nice to have:

• Experience running controlled experiments on data pipelines.
• Prompt engineering or structured LLM prompt design.
• Prior work in AI-first product companies.

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If scoring quality drifts or a provider degrades, you notice it and drive the fix without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If external data shifts or an API changes, you build around it instead of blaming the provider.
• Get It Done: You prioritize shipping answers. You know when to send a rough estimate and when to build a proper framework.

Openness: You share findings and admit mistakes openly — both wins and failures travel across the team. If you spot a better way to do something, you volunteer it without being asked.

The quality of RLVR training data is one of the highest-leverage problems in AI right now. Bad environments, noisy rewards, and weak task specs silently degrade model capabilities — and most teams don't catch it until it's too late. At Arimlabs, we produce RL environments across software engineering, cybersecurity, SRE, finance, and policy — which means the surface area for subtle data quality failures is enormous, and the payoff for catching them is real. We're hiring someone to own that problem end-to-end.
 

What You'll Do

You'll lead data quality and experimentation strategy across our RLVR pipeline — not as a support function, but as the person whose judgment determines what's good enough to ship and what isn't.

• Set and enforce quality standards across RLVR environments produced by multiple domain teams — catch broken tests, weak specs, false positives, and reward hacking before they contaminate training.
• Design and run controlled SFT/RL/RLVR experiments to measure how dataset changes impact model performance. You decide what to test and how.
• Analyze trajectories, pass rates, reward distributions, task difficulty curves, and failure modes to figure out what's working and what isn't — then drive changes based on what you find.
• Partner with SPLs and domain teams to close the loop, translating experimental results into concrete data quality improvements.
• Shape our public evals, new data types, and external-facing research that raises the bar for the field.
• Publish blog posts, technical reports, and research writeups that share what we're learning.

What We're Looking For

• Strong quantitative instincts and hands-on familiarity with LLM training, RLHF/RLVR pipelines, or evaluation methodology.
• A genuine obsession with how data structure, selection, quality, and reward design drive model behavior — not just awareness, but the kind of curiosity that keeps you digging.
• Ability to design lightweight experiments, move fast, and extract signal from messy, ambiguous results.
• Comfort working across domains — you won't need deep expertise in cybersecurity or finance, but you will need to review environments built by specialists in those areas, ask the right questions, and spot when something doesn't hold up.
• Bias toward building and testing over theorizing. We care about what the experiments show, not what sounds elegant.
• Sharp attention to detail. The failure modes in RLVR data are subtle, and catching them is the job.

Who Tends to Thrive Here

• Undergrad or master's researchers with serious, hands-on research experience. A PhD is welcome but not required — what matters is whether you've done the work.
• People who've worked or interned at RL environment companies, AI safety orgs, benchmarking teams, or eval-focused groups (think METR, Artificial Analysis, Apollo Research, or similar).
• Early-career candidates who want to grow with a team that's still small enough for them to shape how we do things — and become central to our data quality and experimentation process long-term.