Jobs Data & Analytics

Join Whitechain — Build the Future of Web3!

At Whitechain, we’re on a mission to revolutionize blockchain, smart contracts, and cryptography. As part of the WhiteBIT ecosystem, we’re building cutting-edge Web3 solutions, from our own EVM blockchain to non-custodial wallets, DeFi platforms, and GameFi experiences.We’re looking for ambitious innovators to help us bridge the gap between retail and corporate blockchain adoption. If you’re passionate about decentralization, Web3, and shaping the future of digital economies, this is your chance to make an impact!

The future of Web3 starts with you — join us as a DevOps Engineer!
 

Requirements:

— 3+ years in DevOps / SRE / infrastructure roles
— 1 year experience with blockchain/ crypto infrastructure background (Ethereum, OP Stack or similar)
— Strong Kubernetes: deployment, debugging, network policies, Helm
— Terraform (modules, state management, multiple providers)
— CI/CD with GitHub Actions or equivalent; GitOps principles
— AWS (IAM, VPC, EC2, S3, KMS)
— Confident Linux administration and Bash scripting
— Monitoring and alerting with Prometheus / Grafana
— Git and PR-based workflow

Would be a plus:

— Direct OP Stack experience (op-node, op-reth, batcher, proposer, conductor)
— ArgoCD and GitOps in production
— Ansible
— Cloudflare (WAF, rate limiting, CDN)
— Key management: AWS KMS or HashiCorp Vault
— Incident response experience and postmortem writing
 
 

Responsibilities:

— Operate and evolve Kubernetes clusters (testnet and upcoming mainnet) via ArgoCD and Helm
— Deploy, upgrade and troubleshoot OP Stack components: op-node, op-reth, batcher, proposer, conductor
— Maintain infrastructure as code: Terraform (AWS, Cloudflare) and Ansible for node configuration
— Own and improve CI/CD pipelines (GitHub Actions): image builds, registry publishing, automated IaC tag bumps
— Maintain monitoring and alerting (Prometheus, Grafana); respond to alerts for sequencer lag, batcher stuck, L1 sync, disk
— Participate in the on-call rotation after onboarding
— Follow and keep runbooks up to date; document on-chain and operational procedures
— Configure and protect public RPC endpoints (rate limiting, Cloudflare WAF)

Work conditions:

Immerse yourself in Crypto & Web3:

— Shape the Future — Work on high-impact blockchain products at the forefront of Web3.
— Innovate & Create — Your ideas drive real-world solutions and technological breakthroughs.
— Global Reach — Build scalable solutions for businesses and users worldwide.
— Web3-Powered Culture — A team of visionaries who believe in decentralization and innovation.
Work-Life Balance & Well-being:
— Modern equipment.
— Comfortable working conditions, and an inspiring environment to help you thrive.
— 24 calendar days of paid leave.
— Additional days off for national holidays.

🔹 100% remote | 🌎 Global team | ⏳ Full-time

NineTwoThree AI Studio is a premier product design, engineering, and marketing firm specializing in custom AI, web, and mobile applications for established brands and funded startups. We are based in Massachusetts but with an American and European staff and a strong, collaborative remote culture.

We’re a team that loves doing good work with great people. Our relatively small size keeps us fast and nimble. The wealth of knowledge, experience and talent paired with proven recipes and best practices allows us to find opportunities to help new products succeed.

With a portfolio of over 150 launched products over 13 years, NineTwoThree has garnered recognition as a top AI agency in the U.S., earning accolades such as inclusion in the Inc. 5000 list for four consecutive years and being named among the top 50 AI firms alongside industry leaders like Microsoft, NVIDIA, and IBM. We’ve built AI and ML tech for big brands like Consumer Reports, FanDuel, and Nara, as well as startups in legal tech, logistics, education, and more. 

Role Overview

As a Senior ML Engineer at NineTwoThree AI Studio, you will sit at the intersection of production-grade software engineering, advanced natural language processing, and client delivery. We build custom, high-impact AI systems for brands and startups across diverse industries (such as healthcare, logistics, and fintech).

Instead of siloed academic research, this role demands a product-minded builder. You will design, optimize, and deploy robust LLM applications, custom predictive analytics, and agentic workflows directly into our clients' software ecosystems, taking absolute ownership of features from prototype to production.

Technology Stack

• Core Frameworks & Arch: Transformer models, modern LLM APIs (Anthropic Claude, OpenAI, AWS Bedrock, etc.), Open-Source LLMs.
• Orchestration & Agentic Design: Experience designing LLM workflows, agentic systems, or retrieval pipelines using frameworks such as Langchain, LangGraph, LlamaIndex, or equivalent approaches.
• Data & Search: Vector databases (Pinecone, pgvector, Milvus, Qdrant, etc.), SQL, and data engineering pipelines.
• Traditional ML: Supervised and Unsupervised learning (Classification, Regression, Anomaly Detection).
• Cloud & Infrastructure: AWS (Lambda, SageMaker, Bedrock, EC2) and modern DevOps/retraining pipelines.
• Languages: Production-grade Python.

Responsibilities

• Architect & Build AI Features: Design and implement robust classical ML and generative AI solutions, striking the right balance between autonomous agentic architectures and deterministic pipelines.
• Evaluate: Design and maintain evaluation frameworks to measure AI quality, reliability, safety, and business impact before and after deployment.
• Integrate & Deploy: Partner closely with full-stack developers and DevOps to seamlessly integrate AI capabilities into client web and mobile applications using serverless architecture (e.g., AWS Lambda) or API endpoints.
• Optimize for Production: Refine prompts, system instructions, and chunking strategies to balance accuracy, latency, token consumption, and data privacy.
• Traditional Predictive Analytics: Clean and process unstructured or historical client data to train/fine-tune custom algorithms for specific business problems (such as forecasting, classification, or anomaly detection).
• Collaborate & Communicate: Actively participate in client discovery sessions, translate ambiguous business requirements into viable technical scopes, and demo prototypes directly to stakeholder teams.
• Maintain Engineering Excellence: Engage in constructive code reviews, implement rigorous validation patterns to test AI outputs, and contribute templates or runbooks to our internal AI knowledge base.

Technical Experience

• Proven Track Record: 3+ years of experience engineering software with a strong focus on machine learning and natural language processing.
• LLM & Generative AI Mastery: In-depth understanding of modern LLM architectures, context window mechanics, semantic search techniques, and the limitations of generative systems. Ability to identify when a deterministic solution is preferable to an LLM or agent-based solution.
• Production experience: Experience building and operating production AI systems, including monitoring, evaluation, debugging, and iterative improvement.
• Evaluation experience: Understanding of evaluation methodologies for LLM-based systems, including retrieval quality, hallucination detection, and task-specific performance measurement. Ability to reason about tradeoffs between quality, latency, cost, reliability, and engineering complexity.
• Python & SQL Proficiency: Exceptional Python coding skills and the ability to query, clean, and structure data efficiently.
• Cloud Infrastructure: Hands-on experience deploying ML or API services within cloud ecosystems, preferably AWS.
• Ownership: Comfortable taking ownership of ambiguous problems from initial discovery through production deployment and ongoing support.

Product & Team Capabilities

• Ambiguity to Execution: Ability to drop into a completely new industry vertical, understand its data constraints, and spin up a working proof-of-concept within a few weeks.
• The "Product Engineer" Mindset: Passion for seeing things ship and understanding why something is being built from a business value standpoint, not just what is being built.
• Communication: Fluent written and spoken English. Comfortable interacting with client stakeholders and breaking down technical workflows into clear concepts.
• Adaptability: Eagerness to experiment with and evaluate fast-emerging AI development tools, models, and frameworks.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience).

What We Offer

• Annual paid vacation: 20 days off per year during the first 3 years, increasing to 25 days in later years
• Paid sick leave, 10 national holidays, and 2 company days off
• Well-being budget
• Global health coverage 
• Maternity/paternity leave
• Reimbursement of expenses for professional development courses and certifications (up to 100% in agreement with Manager)
• Strong positive engineering culture, a tightly-knit team of professionals with a good sense of humor

What's The Process

We value your time and ours and make the process fast and easy. Our interview process takes the following steps: a short interview with the HR, 2nd technical interview with ML Engineer and CTO (optional), 3rd live-coding interview, Offer.

Job Description

Knowledge of system analysis, business process analysis and optimization
Strong attention to detail, strong logic skills, ability to identify corner cases and provide the solution for the product
Knowledge of business analysis techniques, requirements gathering, and solutions assessment
Understanding and ability to identify the customer need
Ability to create clear requirements documentation (English writing, diagrams, basic BPMN)
Upper-intermediate English (written and verbal)
Good interpersonal, communication and facilitation skills

Nice to have:

Experience working in an enterprise environment
Technical background - understanding of object modern programming concepts, database design principles, etc.

Job Responsibilities

Collect, define and translate business objectives and distribute to a team
Create detailed and understandable requirements, tasks, support functionality till production
Interact with a team, organize product development, deliver product vision and functionality to the team
Backlog management, iteration planning and elaboration of user stories
Collaborate proactively with Business Stakeholders, Project Managers and Teams to reach a common understanding of the solution to address the needs

Department/Project Description

The product is a web-based enterprise software tailored for individuals and organizations in the clinical research sector. It offers a user-friendly interface resembling paper forms, facilitating seamless data entry for assessors. Assessments can be accessed through web browsers, Windows tablets, or mobile devices.

The development process utilizes a WYSIWYG editor for content and behavior, enabling the integration of scoring algorithms directly into the system. The application also needs to support localization in more than 50 languages.

Join an exciting journey to create a cutting-edge Consumer Data Lake for a leading global organization based in Europe. This platform will unify, process, and leverage consumer data from various systems, unlocking advanced analytics, insights, and personalization opportunities. As a Senior Data Engineer, you will play a pivotal role in shaping and implementing the platform's architecture, focusing on hands-on technical execution and collaboration with cross-functional teams.

Your work will transform consumer data into actionable insights and personalization on a global scale. Using advanced tools to tackle complex challenges, you’ll innovate within a collaborative environment alongside skilled architects, engineers, and leaders.

Key Responsibilities:

• Hands-On Development: Build, maintain, and optimize data pipelines for ingestion, transformation, and activation.
• Create and implement scalable solutions to handle diverse data sources and high volumes of information
• Data Modeling & Warehousing: Design and maintain efficient data models and schemas for a cloud-based data platform.
• Develop pipelines to ensure data accuracy, integrity, and accessibility for downstream analytics.
• Collaboration: Partner with Solution Architects to translate high-level designs into detailed implementation plans.
• Work closely with Technical Product Owners to align data solutions with business needs.
• Collaborate with global teams to integrate data from diverse platforms, ensuring scalability, security, and accuracy.
• Platform Development: Enable data readiness for advanced analytics, reporting, and segmentation.
• Implement robust frameworks to monitor data quality, accuracy, and performance.
• Testing & Quality Assurance: Implement robust security measures to protect sensitive consumer data at every stage of the pipeline
• Ensure compliance with data privacy regulations (e.g., GDPR, CCPA ..) and internal policies.
• Monitor and address potential vulnerabilities, ensuring the platform adheres to security best practices.

Requirements:

• Over 4+ years of experience showcasing technical expertise and critical thinking in data engineering.
• Hands-on experience with DBT and strong Python programming skills.
• Proficiency in Snowflake and expertise in data modeling are essential.
• Demonstrated experience in building consumer data lakes and developing consumer analytics capabilities is required.
• In-depth understanding of privacy and security engineering within Snowflake, including concepts like RBAC, dynamic/tag-based data masking, row-level security/access policies, and secure views.
• Ability to design, implement, and promote advanced solution patterns and standards for solving complex challenges.
• Familiarity with multiple cloud platforms (Azure or GCP preferred, with a focus on Azure).
• Practical experience with Big Data batch and streaming tools.
• Competence in SQL, NoSQL, relational database design (SAP HANA experience is a bonus), and efficient methods for data retrieval and preparation at scale.
• Proven ability to collect and process raw data at scale, including scripting, web scraping, API integration, and SQL querying.
• Experience working in global environments and collaborating with virtual teams.
• A Bachelor’s or Master’s degree in Data Science, Computer Science, Economics, or a related discipline.

Full Time – Remote

ReciMe is a recipe app revolutionizing how cooks organize, plan and shop their recipes. Our smart importing tool enables users to aggregate all their recipes in one platform within seconds - whether those recipes came from an Instagram video, recipe blog or grandma's recipe box.

Now, we're looking for a Data Engineer to join our team!

Someone who is obsessed with turning messy data into a single source of truth & analyzing the data.

You'll start by owning our Marketing BI stack — unifying spend, attribution, pLTV, and revenue across every channel — and grow into supporting product analytics, experimentation, and broader data infrastructure as we scale.

🚀 What You'll Do

- Work with the senior leaders in the marketing & product teams very closely on designing and building our data infrastructure end to end.

- Build new system for our performance marketing team to analyse data

- Ingest predicted LTV figures by ad set / campaign and correspond that to marketing spend. Break this down by geo, ad platform

- Pull data from MMPs, ad platforms, revenue sources

- Help with data analysis on more complex data topics like predicted LTV, long term ROAS

- Own data accuracy — troubleshoot discrepancies across attribution, network, revenue, and product data sources.

- Maintain and iterate on dashboards and pipelines as new channels, campaigns, products, or data sources are added.

- Over time, expand into product data — supporting analytics, experimentation, and data tooling for the product team as we grow.

💪 What You Bring

- You're curious, analytical, and obsessed with data quality — you love digging into discrepancies, chasing down why numbers disagree, and building systems that tell the truth.

- Experience building data pipelines and BI dashboards

Strong SQL and experience with modern data warehouses (e.g. Snowflake)

- Comfortable integrating with third-party APIs — ad networks, attribution platforms, payment providers, or product analytics tools.

- You have a bias for action: you ship fast, break things carefully, and iterate as new channels and data sources come online.

- You're organized, proactive, and love collaborating across marketing, product, and engineering.

- Nice to have: experience with building pLTV modeling for subscription based apps

🤝 Details

Full-time role

Location: Remote

Competitive salary

Paid time off

International team offsite (yearly)

At c3 we're building a spatial intelligence data layer. We're a startup based in the UK, and are building an engineering team to focus on research and development of our proprietary models. 

Ideally we are looking for someone with: 

Multi-session SLAM / map merging / long-term localization / 3D registration experience

Ideal past experience:

Autonomous-driving mapping, warehouse/robot localization, AR persistent maps, LiDAR map differencing, construction progress monitoring, digital twins, or long-term robotics localization.

Requirements

* Strong background in 3D computer vision and geometric perception: point clouds, meshes, depth maps, coordinate transforms, registration, visibility/occlusion reasoning, and spatial change detection.

* Hands-on experience with real RGB-D / LiDAR / depth-sensor data. You should have dealt with noisy depth, incomplete scans, moving objects, partial overlap, and sensor/calibration errors.

* Strong understanding of 3D registration, including ICP variants, robust/global registration, geometric descriptors, RANSAC/TEASER++-style approaches, and failure detection.

* Experience solving multi-session or temporal mapping problems: comparing the same physical environment captured at different times.

* Familiarity with SLAM / visual-inertial odometry. You should understand accumulated drift, scale error, loop closure, and how errors in scan generation propagate downstream.

* Strong Python and PyTorch skills, with experience building production-quality evaluation and inference pipelines.

* Experience with learned feature matching such as LightGlue, SuperGlue, LoFTR, or equivalent is useful, particularly for cross-scan registration.

* Experience with synthetic data generation / simulation for augmentation and controlled failure-case generation.

* Robotics, autonomous systems, mapping, AR/VR, drones, or defence perception experience is highly relevant.

* Fluent English.

* Kyiv-based preferred; hybrid or remote considered.

What you will do

* Build a robust scan0 -> scan1 registration pipeline that aligns mostly-static structure while remaining insensitive to moved furniture and other transient objects.

* Handle partial overlap, occlusion, missing observations, drift, and scale differences between scans.

* Build temporal change detection that distinguishes:

    * object removed / added,

    * object moved,

    * surface or condition changed,

    * area unchanged,

    * area not observable / insufficient evidence.

* Develop visibility and free-space reasoning so that “not seen” is not incorrectly classified as “gone.”

* Build multi-stage registration using geometric and learned features, followed by robust local refinement.

* Define confidence / failure detection for registration and comparison results rather than forcing a result from bad scans.

* Develop condition/defect classification and severity scoring once geometric correspondence is sufficiently reliable.

* Create synthetic perturbations and generated training/evaluation data covering known failure modes.

* Own evaluation against ground truth, including registration success rate, false positive/negative change detection, localization accuracy, and uncertainty calibration.

* Evaluate alternative scene representations, including 3D Gaussian Splatting, NeRFs, TSDFs, occupancy/SDF representations, where they materially improve temporal comparison.

We are a product company building AI-powered mobile applications used by over 10 million people in 150 countries. We own the entire product lifecycle — from the initial idea to large-scale global implementation. We thrive in a fast-paced environment, making data-driven decisions without unnecessary bureaucracy. If you value autonomy, rapid releases, and seeing the direct impact of your work, you will fit right in.
 

The Role

We are looking for a Senior DevOps Engineer to take full ownership and leadership of the infrastructure for our ambitious project in the Cloud Gaming & Streaming space.

In this role, you will architect, scale, and maintain a high-performance, fault-tolerant system provisioning and streaming content across a server fleet growing from hundreds toward thousands of machines. You will lead infrastructure decisions, set technical standards, build key systems (like observability and bare-metal orchestration) from scratch, and mentor a Mid DevOps Engineer on the team.
 

Work Format & Relocation

• Location: Dubai, UAE (Office).
• Trial Period: First 2–3 months are fully remote for a smooth onboarding.
• Relocation Support: Full corporate visa sponsorship and relocation package provided after the trial period.
   

Key Responsibilities

• Fleet Architecture & Provisioning: Architect and automate end-to-end bare-metal and virtualized host provisioning — storage, GPU passthrough (vfio), and VM lifecycle across a large, heterogeneous server fleet.
• Orchestration & Scale: Design and maintain fleet-scale orchestration systems: parallel deployments, health checks, and self-healing routines ensuring consistency across thousands of machines.
• Infrastructure as Code & Configuration: Lead IaC practices using Terraform and Ansible to maintain reproducible host configurations, deterministic automation, and VM images.
• Advanced Virtualization & OS Administration: Deeply manage Linux/KVM virtualization (libvirt, QEMU) and Windows guest systems, including complex GPU passthrough and low-latency virtual networking.
• Greenfield Observability: Architect and implement the observability stack from scratch (Prometheus, Grafana, Loki/ELK) across the entire fleet for deep performance monitoring and alerting.
• Network & Traffic Management: Design and optimize network configurations at scale — NAT, port forwarding, routing, and traffic paths for thousands of concurrent, low-latency streaming clients.
• CI/CD & Deterministic Automation: Build robust CI/CD pipelines (GitLab CI / GitHub Actions) for infrastructure code, images, and deterministic scripting (Bash, Python, PowerShell).
• Security & Storage: Implement enterprise-grade secrets management (Vault / SOPS) and manage large-scale content distribution via S3-compatible object storage (e.g., Cloudflare R2).
• Leadership & Incident Response: Set reliability engineering standards, drive incident response/on-call processes, and collaborate closely with core C++/C# infrastructure engineers.
   

Requirements

• Experience: 4+ years in a DevOps / Infrastructure role with proven experience building and managing large-scale, high-load systems or large server fleets (dozens/hundreds+ of nodes).
• OS & Virtualization Expertise: Deep administration skills in both Linux and Windows; practical expertise with KVM/libvirt, QEMU, and GPU passthrough / vfio.
• IaC & Configuration Management: Strong hands-on experience with Terraform and Ansible for host consistency, image management, and fleet-wide automation.
• Scripting Mastery: High proficiency in Python, Bash, or PowerShell with the ability to write deterministic, idempotent, and restart-safe automation scripts across heterogeneous hardware.
• Networking & Observability: Strong grasp of Linux networking (NAT, iptables, routing, traffic shaping) and experience standing up monitoring/logging stacks (Prometheus, Grafana, Loki/ELK) from scratch.
• CI/CD & Security: Experience automating infrastructure via GitLab CI/GitHub Actions and managing secrets at scale (Vault, SOPS).
• Language: English (Upper-Intermediate / B2 or higher — required for technical collaboration).
   

Nice-to-have

• Direct experience in Cloud Gaming, real-time data streaming, or high-load gaming environments.
• Hands-on experience with GPU-heavy workloads and large-file distribution via object storage (S3 / Cloudflare R2).
• Basic knowledge of C++ or C# to collaborate effectively with core streaming infrastructure developers.
   

What We Offer

• Architectural Greenfield & Autonomy: Full ownership to design the fleet observability, orchestration, and automation architecture from zero.
• Leadership & Real Impact: Direct influence on the tech stack of a Cloud Gaming platform targeting a global, multi-million user audience.
• Relocation Package: Full financial and organizational support for your move to Dubai (corporate visa, flight tickets, initial housing) after the trial period.
• Modern Office: Work from a vibrant, tech-driven workspace in Dubai alongside a strong engineering team.
• Fast-Paced Culture: A product-driven environment with quick decision-making, high engineering freedom, and zero bureaucracy.
• Compensation: Highly competitive USD-pegged salary matching your senior technical background.

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 Cloud & Digital team supports global cloud projects across Cloud Strategy, Migrations, Data Analytics, and DevOps. We help clients adopt cloud infrastructure, modernize data platforms, and optimize operations.

Your future role:

• Building data platforms (data warehouses, lakes, lakehouses) using Azure Databricks, MS Fabric, Azure Data Factory.
• Designing data flows using medallion architecture and supporting data migrations from legacy systems.
• Conducting data assessments with Data Modelers/Analysts and addressing data quality issues.
• Working with senior stakeholders to gather requirements and support modern data architecture design.
• Supporting Data Governance activities, especially around MDM and Data Quality.
• Understanding Data Science/Analytics use cases in industries like Consumer Goods, Retail, Manufacturing, or Financial Services.

Apply if you have:

• 4+ years of experience in Data Engineering or related fields (BI, Data Science).
• Hands‑on experience with Databricks, Snowflake, BigQuery, MS Fabric.
• Experience building data warehouses/lakehouses with Azure Data Factory / Synapse.
• Skills in PySpark/Python and SQL.
• Some exposure to CI/CD (Azure DevOps, Jira).
• B2+ English and ability to prepare technical documentation.
• Experience using modern tech and AI tools in daily work.

Nice to have:

• Cloud certifications (Azure/AWS/GCP) and Data Governance certifications.
• Training via platforms like Coursera/Udemy/Datacamp.
• Knowledge of data modelling (e.g., Kimball), Data Strategy, Data Quality, and MDM.
• Experience with Agile (Scrum), ML/GenAI use cases, or Agentic AI for data automation.
• Work with senior stakeholders (e.g., CDOs) in Manufacturing, Consumer Goods, or Financial Services.
   

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

🏢 About the Company

Physician's Choice started with the simple idea that better health starts with the gut. In just 8 years, we have become the #1 Probiotic Brand in the US. Our products are available across Walmart, Target, CVS, Sam's Club, Amazon, TikTok Shop, and many other retailers throughout the United States.

Our mission is to empower everyone to make confident wellness choices, guided by physician expertise and validated by real results. Join our growing team and help shape the future of one of America's fastest-growing wellness brands.

💼 About the Role

We are looking for an ambitious, proactive, and motivated Omnichannel Inventory Planning Manager to help us optimize inventory and demand planning across our growing retail and ecommerce business.

You will work with sales, supply planning, operations, finance, logistics, and retail teams to make sure we have the right products, in the right quantities, at the right time.

You don't need experience across every retail channel. Strong experience with Amazon, Walmart, or Target is enough to be considered. Experience with additional retail channels is a plus, and we are ready to teach you the specifics of the other channels.

🎯 What You'll Do

📦 Demand & Inventory Planning

• Manage demand and inventory planning for key retail and ecommerce channels.
• Monitor inventory levels and identify potential stockouts, overstock, and supply risks.
• Analyze sales trends, historical performance, seasonality, promotions, and other demand drivers.
• Support production and replenishment planning based on expected demand.

🛒 Retail & Ecommerce Planning

• Support inventory planning for channels such as Walmart, Target, Amazon, and other retail partners.
• Optimize inventory availability across different channels.
• Help ensure products are ready for launches, promotions, seasonal events, and changes in demand.
• Monitor retailer performance and identify opportunities to improve availability and sales.

📊 Forecasting & Analytics

• Build and maintain demand forecasts and inventory plans.
• Track KPIs such as forecast accuracy, inventory turns, service levels, stock coverage, and OTIF.
• Analyze performance and provide actionable recommendations.
• Work with Power BI and Google Sheets to monitor data and create planning reports.

🤝 Cross-Functional Collaboration

• Work closely with Sales, Supply Chain, Operations, Finance, Logistics, and Marketing.
• Communicate inventory risks, opportunities, and recommended actions.
• Coordinate with manufacturers, warehouses, and logistics partners when needed.
• Support monthly S&OP and planning processes.

⚡ Process Improvement

• Follow and improve existing planning SOPs and processes.
• Identify opportunities to make forecasting, reporting, and inventory planning more efficient.
• Help develop better dashboards, reports, and planning methodologies as the business grows.

🔎 What We're Looking For

• 3+ years of experience in inventory planning, demand planning, retail planning, supply planning, operations, or a related analytical role.
• Hands-on experience with at least one major retail/ecommerce channel: Amazon, Walmart, or Target.
• Strong understanding of inventory management, demand forecasting, replenishment, and retail operations.
• Strong analytical and numerical skills with the ability to turn data into actionable decisions.
• Experience working with Google Sheets/ Excel, Power BI or other analytical tools is a plus.
• Strong communication and cross-functional collaboration skills.
• Proactive mindset and strong ownership — you don't wait for problems to become urgent before acting.
• Ambition and motivation to grow with a fast-growing company.
• Ability to learn new retail channels, systems, and processes quickly.
• Bachelor's degree in Supply Chain, Business, Operations, Economics, Finance, Engineering, or a related field is preferred.
• Ukrainian or Russian language skills.

➕ Would Be A Plus

• Experience in CPG, supplements, health & wellness, beauty, or another fast-moving consumer goods environment.
• Experience with additional retail channels such as Sam's Club, Costco, CVS, Walgreens, Kroger, HEB, etc.

🌟 Why This Role?

You don't need to know every retail channel. Strong Amazon, Walmart, or Target experience is enough to get started.

Clear processes from day one. Existing SOPs cover the key workflows and processes, so you won't have to build everything from scratch.

Real ownership. Your work will directly impact inventory availability, sales, and business growth.

Growth opportunity. Join a growing US wellness brand and expand your expertise across a truly omnichannel business.

Data-driven environment. Work with Power BI and Google Sheets to make informed planning decisions.

🌟 Compensation & Benefits

Base salary: $2,000–$2,500/month

Additional benefits:

💚 $150/quarter wellness benefit

📱 $75/month cell phone reimbursement

🛍️ $100/month in free company products

💻 reimbursement for work equipment every 18 months

🎓 Courses and professional training at the company's expense

🏖 Paid vacation, sick days, and holidays

🧠 Corporate psychologist services

🌍 Remote work with an international team

📈 Career growth and opportunities to expand your professional expertise

🎁 Performance Bonus

We believe ambitious goals should come with meaningful rewards.

When the company reaches its ambitious annual targets, the role is eligible for a 12%–24% annual performance bonus.

The bonus is tied to company performance and achievement of ambitious annual goals.

🚀 Ready to Make an Impact?

If you're an ambitious, proactive, and analytical professional who wants to grow beyond a single retail channel and become an expert in omnichannel inventory planning, we'd love to hear from you.

You don't need to know everything today. We are looking for someone with the right foundation, mindset, and motivation to learn and grow with the business.

Senior Data Engineer
 

We’re a London-based fintech on a mission to help banks and small businesses thrive in a digital-first economy. Founded in 2017, we bring together the energy and flexibility of a high-growth scale-up with the backing of global financial institutions. Our cloud-based platform powers end-to-end merchant services for banks, combining payments and business banking into one seamless experience. We partner with trusted names like NatWest (Tyl by NatWest), NAB (NAB Hive) and Truist (Truist Merchant Engage) in the United States to help their small business customers grow and succeed.
 

We’re a close-knit team of designers, engineers, and financial services experts who care deeply about what we build and how we work together. We value curiosity, collaboration, and making things better every day. Whether you’re technical, creative, or commercial, you’ll find space here to do your best work, develop your skills, and be part of something meaningful. We’re headquartered in London and expanding our team in South Africa – and we’d love for you to be part of the journey.
 

The role
 

As a Senior Backend Engineer in Data, you will own one or more components of our backend microservice applications. You will join the team that builds and maintains the data ingestion pipelines that turn raw banking and transactional data into actionable insights.
 

This is a great opportunity to get full exposure to the entire tech stack involved in building data pipelines for ingestion, data persistence and data APIs powering our micro-frontends at scale. We have a fun environment with a high level of responsibility, autonomy, trust and transparency and work very closely with the product development and business teams.
 

Responsibilities
 

• Design and implement scalable ingestion pipelines that work in both streaming and batch modes.
 

• Integrate with third-party APIs, banks and payment processors to ingest transactional data.
 

• Write production-quality code in Java 21 (Spring Boot) to develop microservices and data integration endpoints.
 

• Use reactive frameworks (Spring WebFlux) where needed for asynchronous processing.
 

• Operate and optimise Kafka-based streaming workflows and event-driven architectures.
 

• Implement large-scale data processing jobs on Azure Databricks with Spark (Scala/Python) to transform and aggregate data. Optimise Spark jobs for performance and cost efficiency on Azure.
 

• Design and maintain schemas in MS SQL Server and ensure data models are efficient for queries and analytics.
 

• Ensure data quality and governance: validation, schema evolution, lineage and monitoring.
 

• Expose data via APIs and data products consumed by micro-frontends and reporting tools.
 

• Embed pre-built data science solutions into the data estate.
 

• Provide Level 3 support for production issues.
 

• Collaborate closely with product, engineering and business teams to translate requirements into production-ready pipelines.
 

What we are looking for
 

• Expert in Java 21+ with Spring and Spring Boot.
 

• Hands-on experience with messaging and streaming platforms. Apache Kafka (or equivalent) experience is required – our pipelines ingest high-volume events in real time. Knowledge of Azure Event Hubs (Kafka-compatible) is also acceptable.
 

• Proficient in T-SQL with experience on MS SQL Server.
 

• Good software design and coding practices. Familiar with unit/integration testing (JUnit, Cucumber), version control (Git), and agile methodologies.
 

• Strong problem-solving, communication, and teamwork. Able to translate complex data requirements into reliable technical solutions.
 

• Eager to learn new big data and cloud technologies and keep your skills up to date.
 

• Enthusiastic about finding creative ways to solve problems and curios to explore new areas.
 

Nice-to-Have Skills
 

• Experience with big data on Microsoft Azure. Comfortable using Azure Databricks/Spark, and Azure storage (Blob/SQL/Cosmos).
 

• Exposure to Scala or Python is a plus for Spark jobs.
 

• Experience with Spring WebFlux (reactive programming) is highly desirable.
 

• Ability to containerize applications (Docker) and deploy/manage them in Kubernetes clusters.
 

• Familiar with NoSQL/database technologies; we use Cosmos DB for scalable, multi-region data.
 

• Experience with Terraform or similar tools to provision cloud resources. Familiar with CI/CD practices (we use GitOps/ArgoCD pipelines).
 

• Exposure to logging/monitoring stacks (ELK/Elastic, Prometheus/Grafana) and performance testing tools (K6, JMeter).
 

• Interest or experience in emerging AI/ML tools and LLMs (e.g. Ollama LLM) as the company explores intelligent analytics.
 

Who we are looking for
 

• Ideally someone who has worked for a Fintech start-up.
 

• Starter-finisher attitude to manage work.
 

• Strong verbal and written English communication skills.
 

• Comfortable working outside of rigid structures and frameworks.
 

• Effective working in ambiguous environments.
 

• You are a team player and can work cross-team - for instance with business-minded staff, designers, product owners, and everything in between.
 

• Actively mentors and supports others, sharing knowledge, guiding junior engineers, and contributing to a strong engineering culture.
 

• Builds alignment and influence, fostering trusted relationships and helping teams make better technical and product decisions.
 

What we stand for
 

• We believe we are better together when we listen, engage and support each other, we want you to bring your expertise and experience to work every day.
 

• We are passionate about what we are doing and want you to share this with us, enjoy your time with us, stay calm under pressure and bring positive energy to the team.
 

• We are all on a journey together, we want your ambition and flexible mind set to embrace the twists and turns as we grow as a business.
 

Your wellbeing and professional growth is important to us. If you join Pollinate, you can expect:
 

• Access to career coaching, life coaching and therapy from our employee experience partners Plumm.
 

• Access to Pluralsight for Engineering roles or a Growth Budget to develop your learning.
 

• Flexible hybrid working where our hub is used for team or collaboration meetings and company get togethers.
 

As part of Pollinate, you’ll be working with experts across payments, technology, customer experience, and financial services, supported by a world-class network of partners. Join us to be a key part of a team that’s changing the future of payments, with the freedom to make your mark. Together, we’ll push the boundaries of what’s possible with payment enabled merchant services for SMB’s around the world.
 

This Job Description covers the main areas of your responsibilities - it is not an exhaustive list.
 

About the project
We’re working with a US-based (New York) proptech/govtech startup building the system of record for NYC affordable-housing compliance — a platform that takes a housing project from approval, through the lottery, to staying compliant year after year. Their AI review pipeline is already in production, processing real applications for real buildings. Lots of messy real-world documents, deterministic regulatory logic, and an AI layer that does the volume while experts handle exceptions.

It’s a long-term, stable cooperation with a small, high-ownership, high-collaboration team.

Cooperation

• GIG or B2B contract
• Full-time, long-term

• Remote, US-market focus

   

What you’ll do

• Own features end-to-end: spec, data model, migrations, backend services, pipelines, and UI
• Build LLM-powered document intelligence (extraction, classification, gap detection) over messy real documents — scans, spreadsheets, handwriting
• Design and run eval loops that make AI shippable: golden datasets from expert feedback, regression guards in CI
• Draw the line between AI and deterministic code — LLMs classify/extract/suggest; anything filed with a regulator runs through pure, unit-tested policy logic

• Ship Python services (FastAPI, Postgres, event-driven) and React/TypeScript frontends

   

Requirements

• 5+ years building and operating production software (senior product engineer)
• Strong Python (FastAPI, Pydantic, SQLAlchemy, Postgres)
• Real, hands-on LLM/GenAI experience: prompt pipelines with structured outputs, evals, OCR/document processing, agents — features that survived real users
• Frontend with React + TypeScript
• AI-native workflow: you use AI/coding agents to write most of your code and know how to verify their output
• Comfortable with ambiguity and defining fuzzy problems yourself
• Rigorous engineering: TDD, audit trails, verification

• English B2+ (comfortable communicating with the team)

   

Nice to have

• Proptech, fintech, govtech, or legaltech (regulated, document-heavy domains)
• Event-driven architecture (outbox pattern, streams, idempotent consumers)
• Experience migrating a business off a legacy system while it stayed live (e.g. Salesforce)

• Built eval infrastructure or human-in-the-loop review systems

   

Interview process

1. Hiring manager screen (background, ownership, how you work with AI)
2. Coding screen — a realistic task from the domain (bring your AI tools)
3. AI system design — a loosely defined real problem
4. CEO conversation

About the Role:

We are looking for an experienced Senior Data Engineer to join our team and help build scalable, secure, and high-performance data platforms. In this role, you will work closely with Data Architects, Engineers, Analysts, DevOps specialists, and Data Scientists to design, develop, and optimize modern cloud-based data ecosystems.

This is a full-time remote position for a senior-level professional who can commit 40 hours per week and take ownership of complex data engineering initiatives.

Responsibilities:

As a Senior Data Engineer, you will:

* Collaborate with Data Architects on designing and implementing data solutions across Azure, AWS, or IBM Cloud environments

* Build, maintain, and optimize modern data ecosystems and data pipelines

* Develop and support data ingestion, transformation, and processing solutions

* Work closely with cross-functional teams, including Data Engineers, Analysts, DevOps Engineers, and Data Scientists

* Implement security best practices to ensure the reliability and protection of cloud infrastructure and data processes

* Apply modern engineering principles and methodologies to support business growth and innovation

* Identify opportunities to improve data quality, reliability, scalability, efficiency, and overall platform performance

* Optimize data solutions to balance performance, maintainability, and cost-effectiveness

* Design and execute unit, system, and integration testing strategies

* Contribute to continuous improvement initiatives and engineering best practices

Requirements:

* Strong commercial experience as a Data Engineer

* Advanced proficiency in Python for data processing, transformation, and analysis

* Strong expertise in SQL, including query optimization and database performance tuning

* Hands-on experience with Azure and/or AWS data platforms and services

* Experience designing and maintaining scalable cloud-based data solutions

* Solid understanding of data engineering best practices, data modeling, and ETL/ELT processes

* Experience with software development lifecycle methodologies and Agile environments

Nice to Have:

* Experience with IBM Cloud data services

* Knowledge of data governance and cloud security practices

* Experience working in enterprise-scale data environments

What We Offer:

-Paid vacation and sick leave

-We provide the equipment you need to work comfortably (if required)

-We cover 50% of courses if you want to grow professionally

-Regular salary reviews based on your performance

-Competitive salary, depending on your experience

-Always on-time payments — no delays

-A normal, supportive team without unnecessary bureaucracy

Workload — Full-time
Duration — Long-term
Location — Poland only

We are looking for a Business and Systems Analyst with Italian to join a team delivering projects for a large international organisation in the financial sector. 

The project focuses on developing and optimising processes and systems used in the Italian market. The person in this role will work closely with business representatives, IT teams, and client-side stakeholders. 

Their responsibilities will include analysing requirements and processes, identifying dependencies between systems, and validating proposed solutions. 

This is a stable, long-term project delivered in an international environment and supporting the client’s ongoing business process and systems transformation.

Responsibilities Gathering, analysing, and managing functional and non-functional requirements. Working with business stakeholders from the Italian market Identifying and analysing touchpoints between processes, applications, and systems.

 Modelling business processes and system solutions using BPMN and UML. Preparing analytical documentation, functional specifications, diagrams, and models. Validating solution concepts in cooperation with architects, developers, and business owners. Preparing test scenarios and supporting business and system testing.

Analysing system integrations and data flows between systems. Working with project teams operating in Agile environments Ensuring consistency across requirements, processes, and project documentation.

Requirements:

Experience as a Business and Systems Analyst Experience managing functional and non-functional requirements Ability to prepare test scenarios.

Very good knowledge of BPMN and UML.

Experience working in Agile environments Practical knowledge of Jira and Confluence Experience with tools such as Camunda, Enterprise Architect, or similar Ability to work independently, a proactive approach, and excellent communication skills English at a minimum B2 level Italian at a minimum B2 level — mandatory 

Nice to Have:

Experience working on projects for banks, financial institutions, lending companies, or other organisations in the financial sector. Knowledge of financial, payment, lending, or receivables management processes. Knowledge of the WEBCON BPS platform. Experience analysing system integrations and end-to-end processes. Experience working in an international environment.

We're looking for an Analytics Lead who can bring structure, reliability, and scalability to how we work with data. You'll work across multiple departments, improve our analytics infrastructure, and help build systems that support smarter decisions every day. If your instinct isn't "we should just use Tableau/Power BI," this is probably the role for you 🚀🏆

YOUR QUEST-LINE:

• Own the day-to-day operations of our internal analytics platform;
• Manage small analytics team: run regular 1:1s, performance reviews, distribute tasks based on priorities, and help the team navigate cross-team collaboration smoothly;
• Stay hands-on with data engineering: review pipelines, drive adoption of incremental data refresh, and push toward near-real-time updates for our key tables;
• Design and maintain a data architecture that balances speed and depth: fast, aggregated reporting alongside detailed, granular data for deeper analysis;
• Drive product analytics: user segmentation, retention/engagement patterns, and push hypothesis-driven research instead of purely status-check dashboards;
• Grow our AI-powered analytics platform, from automated reporting to a future conversational data interface;
• Collaborate with the product, development, finance, anti-fraud, support, and marketing teams to ensure their dashboards remain up-to-date and their decisions are data-driven.

👩‍🚀 YOUR IN-GAME SKIN:

• 5+ years of experience in analytics roles within product tech companies;
• 2+ years of experience managing an analytics team while staying hands-on;
• Strong SQL and solid Python, enough to read and write pipeline logic;
• Real understanding of data engineering fundamentals (ETL/ELT, BigQuery, bronze/silver/gold layering);
• Genuine enthusiasm and hands-on experience with AI-assisted workflows;
• Comfortable working autonomously, turning loose business goals into a concrete backlog of boards, metrics, and experiments;
• Understanding of analytics infrastructure, event tracking, and data consistency principles;
• Experience partnering closely with engineering and product teams on analytics implementation;
• Ability to structure ambiguous requests into clear analytical solutions and priorities;
• Strong communication skills and ability to work cross-functionally with different departments;
• At least an intermediate level of English.

🚀 WILL BE YOUR BOOST:

• Familiarity with the Steam trading ecosystem or skins markets (CS2, Dota2, Rust);
• Domain experience in high-load e-commerce, Fintech, or iGaming projects.

🥷 YOUR POWER-UPS SOURCE:

• Spontaneous weekend from the CEO;
• Support for professional development, including events (we went on a MAJOR trip to Copenhagen, for example), certifications, and educational materials;
• Start working at a time that’s comfortable for you;
• People Partner who will always support you in word and deed;
• Anniversary and performance bonuses;
• Input on project direction in a bureaucracy-free environment;
• Regular performance reviews and personal feedback sessions;
• 20 paid vacation days and 7 sick leave days;
• Assisting with the accounting and tax management for individual entrepreneurs;
• English language and Well-being benefit — so that you can improve your mental health the way you want;
• No time tracking;
• We purchase CHARGING STATIONS for our spacers;
• We help Ukraine: every month the company supports AFU and transfers donations for ammunition and supplies.

If you read everything carefully and exclaimed: “Oh, yeah, I’m good at everything and I want to do cool things together!”, then we are already looking forward to your resume!

Send them as soon as possible! 🚀

ZentixSoft is looking for a Senior AWS Cloud Data Engineer (Financial Ecosystems) ☁️📊

We are significantly expanding our data engineering and analytics direction for our strategic international partners and are looking for a highly mature Senior Data Engineer to drive cloud-native banking data products.
 

Note: This is an Outstaffing role where you will join a high-impact core data team. 

⚠️ A Quick Note for Applicants: To move forward swiftly, your CV must clearly highlight your hands-on architecture decisions, specific AWS technologies used, data volumes, and the precise banking data products you have delivered.

💡 Why ZentixSoft? 
💸 Salary Review: A structured system of compensation reviews aligned with your expertise and engineering growth. 
🦾 Trust and Transparency: Zero micromanagement and no invasive time-trackers—we fully trust your professional autonomy. 🎁 Gifts & Culture: Corporate gifts for holidays, birthdays, and a true team atmosphere where your voice always matters.
 

If you are ready to architect resilient data solutions for a massive financial ecosystem, here is what our perfect match looks like:

1️⃣ Engineering Seniority: A proven track record of designing, building, and operating large-scale data platforms specifically within the AWS cloud environment. 
2️⃣ FinTech & Banking Domain: Solid experience handling sensitive financial data products (focused on areas like Risk, Compliance, Fraud Prevention, Finance, or Regulatory Reporting). 
3️⃣ Governance Mastery: Deep understanding of banking infrastructure needs, including strict data lineage, quality validation, auditability, and data security. 
4️⃣ Independence: Ability to make standalone architectural and technical design choices, turning raw business requirements into robust, high-volume production pipelines. 
5️⃣ Communication: Fluent English combined with strong stakeholder management skills to align easily with business, tech, and compliance teams.
 

Project Details: 
📍 Location: Primarily remote, with a preference for candidates located in the Baltics (or other EU countries). 
✈️ Work Model: Occasional onsite visits to client offices in the Baltics (approx. once per month for 2–3 days). 
⏳ Duration: Long-term cooperation. 
🚀 Start: ASAP.