Jobs Data & Analytics

About Our Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Senior Software Engineer to build and operate production AI agent and search services on top of a large-scale data platform. This is hands-on work at the intersection of distributed backend engineering and applied AI: multi-agent workflows, tool-execution infrastructure, retrieval and relevance, and integrations with multiple LLM providers — all running as real, customer-facing production services with the reliability expectations that implies.

Responsibilities

• Design and implement scalable multi-agent workflows (including conversation state), tool-execution infrastructure, and data-aware tools working with catalogs, schemas, lineage, SQL, jobs, semantic metadata, data preparation, and visualizations
• Build search and retrieval capabilities with OpenSearch or equivalent — indexing, relevance tuning, hybrid keyword + vector search
• Integrate multiple LLM/model providers with secure configuration and graceful degradation
• Develop APIs and event contracts across REST, streaming/SSE, gRPC, protobuf, and SDKs, including UI integrations
• Operate, monitor, and improve production services — service health, logs, metrics, traces, search-cluster health, latency, and error rates; participate in the team's production-support model
• Investigate incidents, drive root-cause analysis, and ship durable fixes
• Design for permissions, tool approvals, multi-tenancy, and customer-data governance
• Maintain dependencies, apply security fixes, and reduce tech debt; produce designs, tests, runbooks, and documentation; lead technical discussions and review code

Required Qualifications

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field — or equivalent practical experience
• 7+ years of relevant experience, or equivalent demonstrated senior-level impact
• Strong Java software engineering skills
• Strong grasp of concurrency, data structures, API design, testing, maintainability, and backward compatibility
• Solid background in distributed systems, microservices, cloud services, or data-intensive backends
• Hands-on experience with search technologies — OpenSearch, Elasticsearch, or Lucene — including vector search, embeddings, or relevance systems
• Experience building LLM applications, agent/tool workflows, RAG systems, or model-provider integrations
• Strong production instincts: diagnosing failures via logs, metrics, and traces; designing for fault tolerance, retries, cancellation, and recovery
• SQL and familiarity with data platform concepts: catalogs, metadata, schemas, governance, lineage
• Comfort leading ambiguous, cross-service work with clear stakeholder communication and strong written documentation
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• English Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings

Desired Skills

• LangChain4j or similar agent frameworks
• Python for AI services, evaluation harnesses, or sandboxed execution
• React and TypeScript
• gRPC, protobuf, Quarkus, Kubernetes, MongoDB, KV stores, event-driven architectures
• Apache Arrow, Apache Iceberg, OpenLineage, semantic layers, or data-governance systems
• AI quality evaluation: LLM-as-judge, model benchmarking, production AI metrics
• OpenSearch operations: index lifecycle management, relevance tuning, incident response
• Open-source contributions

Details

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

Level: Middle 

Engagement: Long-term contract

Location: Europe (EU / EEA / UK), remote 

Working hours: EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

About the Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Middle-level SDET to design and maintain automated tests for a large-scale distributed data platform. You will validate the correctness, performance, and reliability of the query engine, connectivity layer, and backend services across all major clouds.

This is a data-heavy, backend-focused role. We are not looking for web/UI QA engineers — the work centers on validating distributed query execution, data correctness at scale, connectivity drivers, and backend microservices.

Responsibilities

• Develop and maintain automated tests in Python / pytest for backend services, REST APIs, and distributed data components.
• Write end-to-end, integration, and regression tests covering SQL query execution, data correctness, and platform APIs.
• Support performance and load testing with JMeter, including workloads over JDBC / ODBC / Arrow Flight drivers.
• Validate data-intensive scenarios — query plans, result correctness across data sources, metadata consistency, and behavior under concurrency.
• Contribute to CI/CD test pipelines in Jenkins — configure, maintain, and troubleshoot.
• Provision and manage test environments in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker.
• Investigate failures across the stack — query engine, distributed services, drivers, infrastructure — and drive them to resolution with engineering.
• Collaborate with US-based developers on testability and quality gates.
•  

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Python, including pytest, with a solid grasp of OOP and software design principles.
• SQL & Data: Strong SQL skills and solid understanding of how relational and analytical data systems work.
• Data-intensive testing experience: Hands-on experience testing data-intensive systems — query engines, ETL/ELT pipelines, streaming platforms, or analytical databases. Candidates with only web/UI QA backgrounds are not a fit.
• Testing experience: 3+ years in backend/system test automation or SDET roles.
• CI/CD & DevOps basics: Practical experience with Jenkins pipelines and deploying/maintaining test environments.
• Containers: Working knowledge of Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency).
• Cloud: Comfortable operating in at least one major cloud (GCP, AWS, or Azure).
• Version Control: Confident with Git / GitHub workflows.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.
•  

Desired Skills

• Experience testing REST APIs and backend microservices at scale.
• Familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Understanding of modern data lakehouse concepts, open table formats (Apache Iceberg), and data warehousing.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Performance testing with JMeter or comparable load-testing tools.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Understanding of query plan generation, query acceleration / materializations, and metadata integrity in distributed data systems.

About the role

This is an on-site position in Abu Dhabi, UAE. We are looking for a hands-on Forward Deployed AI Engineer to build and operate production agentic AI systems within a complex operational business.

You will work directly with stakeholders and a cross-functional engineering squad to understand business challenges, translate them into practical technical requirements, and deliver solutions from discovery and design through implementation, deployment, operation, and continuous improvement. This is a build-first individual-contributor role with end-to-end engineering responsibility for assigned solutions.

What you will do

Understand before you build

• Collaborate directly with stakeholders to translate operational needs into clear technical requirements, constraints, and delivery priorities.
• Contribute across discovery and solution design, then implement, deploy, operate, and continuously improve the resulting systems.
• Challenge assumptions, identify underlying operational drivers, and recognize when AI is not the appropriate solution.

Agentic AI solution development

• Design, build, deploy, and continuously improve enterprise-grade agentic AI applications as the primary engineering approach.
• Develop AI agents capable of multi-step reasoning, tool and API orchestration, context management, exception handling, and human-in-the-loop workflows at enterprise scale.
• Implement Retrieval-Augmented Generation solutions, including data ingestion, chunking, vector representations, vector search, retrieval optimization, grounding, and source traceability.
• Connect AI systems to enterprise platforms through Model Context Protocol (MCP), REST APIs, OpenAPI specifications, webhooks, messaging, and event-driven architectures.
• Create reusable, self-service AI services and interfaces that can support multiple business domains.
• Apply structured LLM engineering practices, including tool calling, schema validation, retries, fallbacks, guardrails, and clear recovery paths.

Quality, reliability and governance

• Take responsibility for the quality of assigned solutions through testing, evaluation, observability, structured logging, version control, and continuous feedback mechanisms.
• Optimize deployed solutions across accuracy, reliability, performance, security, latency, and cost.
• Apply security, privacy, access-control, auditability, responsible-AI, and governance requirements throughout solution design and operation.

Delivery and collaboration

• Work closely with product owners, AI architects, engineers, and business stakeholders across discovery and delivery.
• Implement robust multi-agent systems, agent-to-agent communication patterns, tool-orchestration flows, and evaluation frameworks within the agreed solution architecture.
• Contribute reusable components, documented patterns, implementation guidance, and operational runbooks that other engineers can adopt.
• Participate in design discussions, code reviews, testing, release preparation, production troubleshooting, and post-release improvement.
• Communicate delivery progress, technical risks, dependencies, and trade-offs clearly to technical and non-technical stakeholders.

Required skills and experience

• Demonstrated curiosity and a strong drive to understand complex business and operational challenges before proposing a solution.
• A business-first, human-centered approach that treats AI as a way to augment people rather than replace them.
• Excellent English communication skills and experience working effectively in diverse, international teams.
• Strong experience building production-grade software, including practical delivery with Generative AI, Large Language Models, or applied machine learning and hands-on experience designing and deploying agentic AI solutions.
• Proven ability to deliver AI applications from requirements and design through implementation, deployment, and production support.
• Strong Python programming skills and expertise in at least one additional language: TypeScript/JavaScript, Java, or C#.
• Hands-on experience or strong working knowledge of MCP for connecting AI agents with systems, tools, APIs, and data sources.
• Practical experience with one or more modern agent orchestration frameworks or enterprise AI platforms.
• Strong understanding of asynchronous programming, API development, typed data validation, CI/CD, testing strategies, source control, logging, and error handling.
• Experience with vector databases or search platforms and production RAG patterns.
• Experience integrating enterprise systems through APIs, managed identities, middleware, webhooks, messaging queues, and cloud-native architectures.
• Practical experience deploying containerized solutions in cloud environments with monitoring and observability.
• Strong judgment across quality, latency, reliability, security, governance, and cost trade-offs.

Will be a plus

• Experience in aviation, transportation, logistics, supply chain, cargo operations, customer service, or other complex operational environments.
• Background in classical machine learning, data science, or advanced analytics.
• Full-stack engineering experience across front-end, API, and back-end systems.
• Experience with Voice AI, email automation, CRM integrations, workflow automation, or multilingual AI solutions.
• Experience building evaluation frameworks, golden datasets, simulation-based testing, regression suites, and AI quality-measurement systems.
• Experience designing multi-agent architectures, agent registries, agent-to-agent communication, and tool-orchestration standards.
• Experience working effectively with external AI platforms, startups, or technology providers as part of a broader delivery team.
• Relevant certifications in cloud AI, Generative AI, agentic AI, MLOps, or related disciplines.

Work model and relocation

The role is full-time and onsite in Abu Dhabi, UAE, for an initial one-year assignment with possible extension. The selected candidate will be employed through the designated UAE company. Planned support includes the UAE employment visa, employee medical insurance, an initial flight to the UAE, a return flight at the end of the assignment, an approved broker fee, apartment-search assistance and local arrival support (subject to the final written offer).

About us

DroneOps is a company creating innovative UAV-related products, focused on UAV autonomy and navigation, founded in 2023. We are a team of innovators and inventors who take on the duty to help the armed forces of Ukraine defend our country and democracy by providing reliable advanced systems that simplify their work, improve personnel safety, and enable more cost-effective and precise UAV mission execution.

Overview

We are looking for a Middle / Senior Computer Vision / Deep Learning Engineer to extend our onboard navigation capabilities with modern perception and learning-based methods.

This is a hands-on R&D role: you work from research and prototypes to production on edge hardware, collaborate with software, and flight teams, and help shape how new CV/DL features are built and shipped. The role suits someone who can follow state-of-the-art work, implement what fits our constraints, and care about real-world performance—not only offline benchmarks.

Responsibilities

Relocalization & navigation

• Design and develop satellite, map, and semantic navigation capabilities that improve the overall quality of our navigation
• Build and maintain pipelines for map and reference-data preparation before missions
• Extend the existing visual-inertial navigation stack with relocalization and map-based aiding features
• Develop training pipelines for these tasks (data preparation, training, evaluation, and iteration)
• Create utilities that make map preloading and mission setup convenient for operators and integrators
•  

Research & implementation

• Track relevant research and industry approaches; prototype and adopt methods where they clearly improve the product
• Reimplement or adapt algorithms when off-the-shelf solutions do not fit our data, hardware, or latency requirements
• Define evaluation metrics and acceptance criteria for new features before field and deployment rollouts
•  

Edge deployment & production

• Optimize models and inference for target onboard hardware
• Integrate new features into the production codebase with stable APIs, logging, and failure handling
• Take part in architecture decisions, code review, and team practices that keep production quality high as the stack grows
•  

Required skills & experience

• 3+ years of practical experience in computer vision and deep learning
• Strong Python; ability to write clear, maintainable code for experiments and production paths
• Experience with training and deploying deep learning models (PyTorch)
• Familiarity with model optimization for edge or embedded devices (pruning, quantization, ONNX/TensorRT-class tooling, or equivalent)
• Comfort working with geospatial or map-related data and preprocessing pipelines
• Practical production mindset: reproducible experiments, versioning, and validation on real data
• English B2+ for documentation and technical discussion; Ukrainian for day-to-day team communication
•  

Nice to have

• Experience with deep learning keypoint detection and matching approaches
• Comfortable with geometric computer vision (camera models, epipolar geometry, robust estimation)
• Multi-sensor fusion / SLAM / EKF background
• UAV, robotics, or aerospace field experience
• Experience with satellite or aerial imagery, semantic segmentation, or visual place recognition
•  

What we offer

• Competitive salary
• Reservation from mobilization
• Impact on improving our country's defense capabilities
• 21 days of vacation + public holidays, sick leaves

About the role

We're looking for a middle DevOps / SysOps engineer to take care of the infrastructure our product runs on: on-prem virtualization, network and VPN connectivity between sites, and the delivery pipelines on top of it. The team is small, so you get real ownership from the start — and room to grow into your own areas of responsibility.

Responsibilities

* Operate and develop on-prem virtualization: VMware ESXi + vCenter (clusters, resource pools, storage, patching and version upgrades)

* Administer network infrastructure: MikroTik, Cisco, pfSense — VLANs, routing, NAT, firewall policies

* Build and maintain WireGuard site-to-site and client VPN topologies between offices, labs and cloud

* Maintain Ubuntu servers: systemd, journald, configuration management, hardening, monitoring and alerting

* Support Docker-based build and deployment workflows

* Develop and maintain CI/CD pipelines in GitHub Actions

* Manage S3-compatible object storage for backups and build artifacts

* Own backup and restore procedures, including regular recovery testing

* Write technical documentation and runbooks for what you build

* Participate in incident response and on-call rotation

Requirements

* 2+ years of commercial experience in DevOps / system administration / infrastructure

* Production experience with VMware ESXi and vCenter

* Hands-on experience with at least two of: MikroTik RouterOS, Cisco, pfSense / OPNsense

* Networking fundamentals: L2/L3, VLAN, static and dynamic routing, NAT, firewall policies, DNS, DHCP, TLS, SSH

* WireGuard (or IPsec / OpenVPN): configuring tunnels and routing between sites, troubleshooting asymmetric routing

* Docker and Docker Compose: builds, registries, networking, volumes

* CI/CD with GitHub Actions (or GitLab CI with readiness to move to GHA)

* Linux (Ubuntu): confident CLI, systemd, journald, bash scripting

* Basic experience with S3-compatible storage or a public cloud provider (AWS / Azure / GCP / Hetzner)

* Monitoring and logging basics: Zabbix, Prometheus + Grafana, or ELK

* English for technical communication (reading docs, written async communication)

Nice to have

* Cisco FTD / FMC, Cisco ISE (802.1X, NAC, posture)

* Certifications: VCP-DCV, CCNA / CCNP Security, MTCNA / MTCRE / MTCINE, LFCS / RHCSA, AWS SAA

* Other VMware products: vSAN, NSX, Horizon (VDI), VCF, Site Recovery Manager, Veeam Backup & Replication

* Automation and IaC: Ansible, Terraform, Python

* Information security fundamentals: PKI, secrets management, hardening baselines (CIS), secure boot

* Bare-metal / Raspberry Pi / embedded Linux

* Experience with isolated or air-gapped environments

What we offer

* Competitive salary

* Reservation from mobilization

* Office in Kyiv with shelter access, generator and Starlink

* Possibility of hybrid work format

* Impact on improving our country's defense capabilities

* 21 days of vacation + public holidays, sick leaves

Coinask.ai — a B2C AI SaaS product at the intersection of AI, Crypto, and FinTech.

We're looking for a hands-on Senior Growth Analyst who will take ownership of ensuring Coinask's data is accurate, consistent, and ready to drive business decisions — from tracking and integrations to product analytics, attribution, and dashboards.

This isn't a "just reporting" role. You'll be responsible for the product's analytical foundation: collecting data correctly, maintaining data quality, connecting different systems, and helping Marketing and Product see the full picture of the business.
 

About the Role

We're actively driving traffic and growing the product, so we need a single source of truth for Marketing and Product:

Tracking → Integrations → Data Quality → Product Analytics → Dashboards → Insights
 

You'll work closely with the Head of Marketing, Growth PM, and Engineering, to ensure a strong connection among marketing data, user behavior, and product data.
 

Your Responsibilities

• Tracking & Analytics Setup: build and maintain the Event Taxonomy, web/product tracking, and key user journey events. Work with GTM, server-side tracking, and analytics tools.
• Product Analytics: set up and maintain Amplitude, Mixpanel, PostHog, or similar systems — funnels, cohorts, retention, activation, and key product flows.
• Integrations & Data Flow: ensure correct data exchange between Web, Product, Backend, CRM, ad platforms, and analytics tools via APIs, Webhooks, n8n/Make, or other integrations.
• Marketing Analytics & Attribution: connect ad spend, traffic sources, sign-ups, and product events so Marketing and Product see accurate CAC, ROAS, conversion, and LTV.
• Data Quality & QA: regularly audit data, find duplicates, data loss, broken events, and discrepancies between systems; identify root causes and coordinate fixes with Engineering.
• Dashboards & Reporting: build and maintain clear dashboards for Marketing, Product, and Management, keeping metrics up to date with a single shared definition.
• Insights: find anomalies, patterns, and growth opportunities in the data and turn them into actionable insights for Product and Marketing.
• Use AI and automation tools to speed up analysis, SQL, QA, debugging, and data work.
  
   

What We Expect From You

MUSH HAVE 

• 2+ years hands-on with a subscription product, in-house — you owned its metrics, not just reported on them: free-to-paid conversion,

churn, cohorts of paying users

• Experience building analytics from scratch at an early product

stage — no legacy systems, no ready dashboards, no established

taxonomy

• AI tools as part of your daily workflow, not a line in a skills list

• English B2+ — working communication, materials, documentation

Core requirements

• 3+ years of experience in Product Analytics, Web Analytics, Marketing Analytics, Analytics Engineering, or Tracking.
• Confident with GTM, GA4, and product analytics tools — Amplitude, Mixpanel, PostHog, or similar.
• Understand how events, cookies, first-party data, server-side tracking, APIs, and Webhooks work.
• Strong SQL skills and the ability to work independently with data in PostgreSQL, BigQuery, or similar systems.
• Hands-on experience building integrations and data flows between marketing, product, and backend systems.
• Understand marketing attribution principles and how to connect acquisition data with product metrics.
• Able to build dashboards and reporting systems that teams actually use.
• Able to independently identify the root cause of data discrepancies and drive them to resolution with Engineering.
• Strong analytical and business thinking: you understand not just how to get a number, but why the business needs it.
• High autonomy, ownership, and comfort working in a fast-paced environment.
   

Nice to Have

• Python or JavaScript for custom scripts and API work.
• Experience with dbt, BigQuery, Snowflake, or other data tools.

• Experience in FinTech / Crypto / AI products.

  
   

How We Work

We're an AI-native team. AI is part of our daily workflow. We expect you to use AI for writing SQL, analyzing data, debugging tracking, automating QA, and speeding up routine tasks.

We value speed, pragmatism, and autonomy: a reliable system that works today beats a complex architecture that will be ready in six months.

Track → Connect → Validate → Analyze → Improve

This Role Is for You If You're Looking For

• The chance to build an analytics foundation from scratch, free of legacy systems and tracking chaos.
• Real business impact: your data and insights will be used directly by Marketing and Product.
• Broad scope: from tracking and integrations to product analytics and reporting.
• An AI-native environment where modern tools are used to genuinely speed up the work.
• High autonomy and speed without unnecessary bureaucracy.

Now we are looking for a Data Engineer to join our team, who will design and maintain our data pipelines, integrate with third-party payment systems, and work closely with our data analysts to keep our data ecosystem accurate and efficient.
 

What you’ll do:

• Write Python integrations with third-party payment systems (PayPal, Primer, Solidgate, etc.)
• Design, develop, and maintain data pipelines and ELT/ETL processes for internal DWH
• Ensure the quality of data presented in BI dashboards
• Collaborate with data analysts to troubleshoot data issues and optimize data workflows
   

Who you are:

• At least 2 years of BI/DWH development experience
• Strong hands-on experience writing production-level Python code, including building and maintaining integrations with third-party APIs (REST APIs, authentication/OAuth, pagination, rate limiting, webhooks)
• Hands-on experience integrating with payment/billing platforms such as PayPal, Primer, Solidgate, Stripe, or similar payment gateways
• Experience working with app store billing/reporting APIs (App Store Connect/iTunes, Google Play Console/Billing)
• Proven experience designing, implementing, and maintaining ELT/ETL data pipelines
• Experience working with cloud-native technologies (GCP/AWS)
• Knowledge of database concepts and hands-on experience with SQL
   

Would be a plus:

• Background in enterprise financial reporting and subscription monetization
• Exposure to product and marketing data analytics
• Familiarity with mobile products
• Working knowledge of Airflow
• Bachelor’s/Master’s degree (Computer Science, Mathematics, or equivalent practical experience)
   

We Offer:

• Remote-First culture: We provide a flexible working schedule and you can work anywhere in the world.
• Health taking care program: We provide Health insurance, mental health support (psychologist compensation), sport compensation, and 20 paid sick days.
• Personal Equipment Policy: We provide all necessary equipment for your work. For Ukrainian employees we also provide Ecoflow.
• Vacation Policy: Each employee in our company has 20 paid vacation days and extra days on the occasion of special evens.
• Knowledge sharing: We are glad to share our knowledge and experience in our internal events.
• English Lessons: We provide corporate English lessons to support your professional and personal growth.
• Professional Development: Annual learning budget for courses, training, certifications, and conferences.
• Public Holidays: You receive days off according to the official public holidays of your country of residence.
• Coworking Compensation (Ukraine): We provide coworking space compensation for employees located in Ukraine.
   

Hiring process:

Recruitment Screen 👉 Tech interview 👉 Final interview 👉 Reference Check 👉 Job Offer

ZentixSoft is looking for a Data Architect! 🚀

Format: Full-Time Outstaffing, long-term contract (12 months), 100% Remote.

💡 Why ZentixSoft?
 💸 Salary Review: A structured system of compensation reviews aligned with your engineering growth. 
⚖️ Work-Life Balance: Sustainable workflows with no senseless overtime, helping you keep your resource fully charged. 
🦾 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.
 

🧩 Role Overview & Responsibilities:

We are looking for a hands-on Data Architect to take full architecture ownership of a complex data platform. In this role, you will assess, stabilize, improve, and modernize the existing architecture, delivering rapid, actionable engineering recommendations.

• Architecture Ownership: Define tactical (immediate stabilization) and target (long-term modernization) architectures that engineering teams can directly execute.
• Platform Modernization: Assess complex, legacy data environments; identify performance/scalability bottlenecks; and deliver clear, implementation-ready architectural outputs.
• Unstructured & Structured Data: Architect data pipelines and modeling frameworks capable of handling unstructured data (documents, PDFs, free text, scanned content, images) and structured/file-based datasets.
• Tech-Neutral Evaluation: Evaluate enterprise technologies based on scale, cost, workload, and business requirements rather than preference (determining when Databricks, Synapse, ADF, or Azure SQL are truly justified).
• Data Modeling & Pipelines: Design robust ETL/ELT frameworks, dimensional schemas, star schemas, and incremental processing/refresh strategies.
• Documentation & Governance: Create detailed architecture diagrams, technical decision logs, and data governance standards.
   

🎓 Our Perfect Match (Requirements):

• Proven Architecture Ownership: 4+ years of recent, demonstrated experience as a Data Architect owning overall Azure Data Platform architectures (candidate must be an Architect, not solely a Data Engineer).
• Azure Data Platform Expertise: Extensive hands-on background with Azure Data Services, including Azure SQL / SQL Server, Azure Data Lake, Azure Data Factory (ADF), Azure Synapse, and Databricks.
• Azure Cosmos DB (MUST-HAVE): Hands-on experience working with Azure Cosmos DB and file-based data stores within enterprise environments.
• Data Engineering Core: Strong mastery of Python, SQL, ETL/ELT, and Lakehouse architectures.
• Unstructured Data Experience: Proven track record handling unstructured data sources (documents, PDFs, text, scanned files).
• Fast Delivery & Problem Solving: Ability to onboard quickly into complex environments, navigate incomplete documentation, and deliver meaningful architectural guidance rapidly.
• Communication & English: Fluent English (C1) with exceptional technical writing and stakeholder communication skills.
   

📍 Project Details:

⏳ Duration: 12 Months (Full-time, 100% Remote).

🕒 Time Zone: CET / CEST.
 

We look forward to receiving your CV (please ensure your CV details your project contexts, architecture ownership, and hands-on Cosmos DB/Azure experience).

We are looking for motivated candidates to join our Siebel Developer Training & Internship Program!

This is a great opportunity for those who want to start their career in IT development and gain practical experience working with CRM systems.

Requirements

• Good knowledge of SQL
• Basic understanding of programming concepts
• Basic knowledge of databases
• Experience with any programming language - JavaScript will be a plus
• English - Intermediate or higher
• Strong motivation to learn and develop in IT

What we offer

• 1 month of intensive training to build the necessary Siebel development skills
• 3 months of internship with real project tasks and practical experience
• Opportunity to join our team as a Siebel Developer after successful completion of the program

If you are motivated to learn, develop your technical skills, and start your career in IT, we would be happy to receive your CV!

SupportYourApp is an international Intelligent Support-as-a-Service company that has been providing business process outsourcing services to IT companies around the globe for the past 15 years. We have 1500+ people in our international community.

We operate globally, supporting clients in 60 languages and partnering with industry leaders like MasterCard, Calm, and MacPaw. With international hubs and coworking spaces around the world, we develop innovative products like Quidget and continuously work to improve the customer experience.

About the role:

We are looking for an AI Solutions Engineer to join our team and lead the design and implementation of AI-powered solutions for customer support and business operations.

In this role, you will translate business and operational requirements into scalable technical solutions, design AI architectures, evaluate technologies and integrations, and guide solutions from discovery through implementation.

You will work closely with clients, internal teams, and technical stakeholders to identify the right AI approach for each use case and ensure that solutions are reliable, scalable, and aligned with business goals.

What you will do:

• Design end-to-end AI solutions based on client business and technical requirements;
• Define solution architecture, integrations, data flows, and implementation approach;
• Design and implement AI-powered solutions, including conversational AI, chatbots, agent assist, and automation;
• Work with LLMs, RAG, prompt engineering, AI agents, and knowledge retrieval systems;
• Lead technical discovery and solution design sessions with clients and internal teams;
• Conduct demos of proposed AI solutions and explain their functionality, capabilities, and business value;
• Troubleshoot technical issues and drive solutions through to resolution.

What you need to succeed in this role:

• Fluency in English (C1+ / Advanced+);
• Practical experience taking an AI support solution from implementation/configuration to actual use by customers or support teams;
• Experience implementing AI-powered chatbots, voicebots, or other conversational AI solutions specifically for customer support or customer service operations;
• Hands-on experience with AI and automation platforms (for example, Zendesk AI Agents, n8n, Voiceflow, Botpress, Cognigy, or similar tools);
• Understanding of LLMs, Generative AI, RAG, prompt engineering, and AI agents;
• Solid understanding of APIs, integrations, databases, and system architecture;
• Ability to translate business requirements into scalable technical solutions and communicate technical concepts to both technical and non-technical stakeholders.

Will be an advantage:

• Hands-on experience with helpdesk platforms (for example, Zendesk, Freshdesk, and Intercom), including their automation and AI features;
• Experience with AI evaluation, monitoring, and guardrails;
• Experience working directly with clients during technical discovery and solution design;
• Experience leading implementation projects.

Benefits and Perks:

• Providing services during business hours;
• Opportunity to cooperate fully remotely;
• Inclusive international environment;
• Compensation in USD;
• Rewards for referring friends;
• Balance between project workload and personal time, but also – internal health policy;
• Responsive leadership interested in your growth and long-lasting cooperation;
• Greenhouse conditions for self-development;
• A culture built on trust, with no time-tracking requirements.

*The items listed in this section may vary depending on the terms of your engagement. Certain benefits and conditions typically apply to employees; independent contractors may not be eligible for all of these. The specific terms, including compensation, benefits, and work conditions, will be clearly defined in your agreement if selected.

You can learn more about the company and its culture by visiting our official website and social pages on Facebook, Instagram, and LinkedIn.

Are you passionate about connecting systems and driving intelligent automation? Do you thrive in fast-paced environments where you can analyze workflows, implement AI solutions, and collaborate with teams to deliver scalable, high-impact results?

Grab the chance to join us and send your CV in English, pointing out your outstanding skills!

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Role Overview

This is a hands-on, execution-driven role working directly with the Head of Project. You'll take new projects, tools, and features from zero-to-one — researching them, testing them, and handing them off to whoever will own them long-term. It's not a coordination or people-management role: we need someone energized by figuring out something new, who builds systems and documentation as they go rather than managing a team.

Key Responsibilities

Project Execution

• Drive high-priority projects from brief to delivery
• Manage timelines, dependencies, and priorities across teams
• Track everything in motion and push work to completion
• Flag delays early and resolve blockers without escalation
• Take new projects/features at the zero-to-one stage, research and test them, and pass them to the team that will run them long-term (e.g. testing a new tool integration and building the adoption plan for marketing, or exploring a new monetization platform and rolling out a usage plan)

Systems & Documentation

• Build documentation and lightweight SOPs for the specific tools and initiatives you research, and hand them to marketing
• Create scalable operational frameworks
• Identify bottlenecks and fix them with systems, not manual workarounds
• Launch new projects in Notion from scratch and keep them structured, accurate, and visible

Execution Support

• Translate priorities into clear plans with owners and deadlines
• Coordinate across departments as needed to ensure alignment and follow-through — without managing them
• Support growth, monetization, and automation initiatives
• Deliver concise research and actionable summaries

Documentation

• Maintain clear, usable process documentation
• Build a knowledge base that scales with the team

Requirements

Must Have

• 4+ years of experience in R&D, Operations, or similar roles
• Strong Notion expertise (non-negotiable) — a real builder: project tracking or a personal dashboard with live metrics, not just a Knowledge Base/Wiki
• Comfortable using AI tools and automation — mandatory
• Experience building and documenting processes for new tools or initiatives
• Excellent communication skills in English (C1 and above)
• Ability to manage multiple priorities in a fast-paced environment
• Strong organizational and problem-solving skills

Nice to Have

• PMP or equivalent certification
• Automation tools (Make, Zapier, etc.)
• Experience in media, affiliate, or performance marketing
• Familiarity with ClickUp, Airtable, or Google Sheets

We're looking for someone who:

• Is proactive and takes ownership
• Thinks commercially and solves problems independently
• Is energized by figuring out something new rather than running something established
• Thrives in a fast-paced environment
• Pays close attention to detail
• Is eager to grow alongside the company
• Doesn't need or want a people-management track — this role stays hands-on

What We Offer

Professional Growth

• International and multicultural environment
• Career development opportunities
• Learning resources and corporate library
• Work alongside a high-performing team
• Access to modern tools and technologies

Benefits

• Competitive salary
• 21 paid vacation days
• 14 paid sick leave days
• Work-life balance
• Team events and activities

Working Environment

• Hybrid — cozy office in Warsaw available whenever you need it
• Complimentary snacks, drinks, and office perks
• Friendly and supportive team
• Comfortable workspace

We look forward to meeting you!

Description

The Digital Health organization is technology team which focused on next generation Digital Health capabilities which deliver on the Medicine mission and vision to deliver Insight Driven Care. This role will operate within the Digital Health Applications & Interoperability subgroup of the broader Digital Health team, focused on patient engagement, care coordination, AI, healthcare analytics & interoperability amongst other advanced technologies which enhance our product portfolio with new services, while improving clinical & patient experiences.

The project is a cloud-based PaaS Ecosystem built with a privacy by design centric approach to provide a centralized cloud-based platform to store, classify, and control access to federated datasets in a scalable, secure, and efficient manner.

The ecosystem will allow Customer Operating Units (medical device departments) to store federated data sets of varying sizes and formats and control access to those data sets through Data steward(s). Source data sets can be exposed to qualified use cases and workflows through different project types.

The Healthcare Data Platform ecosystem will provide ML/AI project capabilities for streamlined development processes and a ML/AI workbench to enhance data exploration, wrangling, and model training.

In queue: 15+ OU’s. At this moment focused on – Nuero, Cardio, Diabetes is the OU that data platform is working with, but there could be more OU’s coming up with requirements in future.

GL Role: is to work on the enhancement of current capabilities, including taking over the work that AWS proserve team is doing, and develop new requirements that will keep coming from different OU’s in the future.

Requirements

• AWS Platform: Working experience with AWS data technologies, including S3, AWS RDS, and Lake Formation
• Programming Languages: Strong programming skills in Python
• Data Formats: Experience with JSON, XML, and other relevant data formats
• CI/CD Tools: Ability to deploy using established CI/CD pipelines using GitLab CI, Jenkins, Terraform or similar tools
• Scripting and automation: experience in scripting languages such as Python, PowerShell, etc.
• Monitoring and Logging: Familiarity with monitoring & logging tools like CloudWatch, Splunk, ELK, Dynatrace, Prometheus
• Source Code Management: Expertise with GitLab
• Documentation: Experience with markdown and in particula,r Antora for creating technical documentation
• Previous Healthcare or Medical Device experience
• Experience implementing enterprise grade cyber security & privacy by design into software products
• Experience working in Digital Health software
• Experience developing global applications
• Strong understanding of SDLC;
• Experience with Agile methodologies
• Software estimation
• Experience leading software development teams onshore and offshore

Job responsibilities

• Implement data pipelines using AWS services such as AWS Glue, Lambda, Kinesis, etc
• Implement integrations between the data platform and systems such as Atlan, Trino/Starburst, etc
• Complete logging and monitoring tasks through AWS and Splunk toolsets
• Develop and maintain ETL processes to ingest, clean, transform and store healthcare data from various sources
• Optimize data storage solutions using Amazon S3, AWS RDS, Lake Formation and other AWS technologies.
• Document, configure, and maintain systems specifications that conform to defined architecture standards, address business requirements, and processes in the cloud development & engineering.
• Participate in planning of system and development deployment as well as responsible for meeting compliance and security standards.
• Actively identify system functionality or performance deficiencies, execute changes to existing systems, and test functionality of the system to correct deficiencies and maintain more effective data handling, data integrity, conversion, input/output requirements, and storage.
• Document testing and maintenance of system updates, modifications, and configurations.
• Leverage platform process expertise to assess if existing standard platform functionality will solve a business problem or customization solution would be required.
• Test the quality of a product and its ability to perform a task or solve a problems.
• Perform basic maintenance and performance optimization procedures in each of the primary operating systems.
• Ensure system implementation compliance with global & local regulatory and security standards (i.e. HIPAA, SOCII, ISO27001, etc…)

ABOUT COMPANY

SoftServe Business Systems was founded in 2003. We aim high; our mission is to lead the digital revolution in the FMCG industry. It means delivering the best products & services possible that empower businesses to grow and improve efficiency.

We are a product company, and this affects our day-to-day activities. Our team is highly involved in the client’s needs, we value business expertise, and we take every step with extra carefulness. Among our clients are businesses like AB InBev, Unilever, JDE, PepsiCo, Henkel, and others.

SoftServe Business System’s ideal candidate can share the company’s values and become a reliable partner for the team.

REQUIREMENTS

• 3+ years of experience as a Business Analyst
• Hands-on experience implementing ready-made enterprise products (CRM, ERP, SAP, or similar solutions/IT products)
• Direct involvement in implementation projects, with ownership of the implementation process and accountability for delivery results
• Strong interviewing and negotiation skills
• Knowledge of software development methodologies
• Proficiency in producing clear business and functional documentation
• Advanced analytical and systematic thinking skills
• Effective time-management and prioritization skills
• Upper-Intermediate English for daily communication with clients and teams

Nice-to-have skills

• Knowledge of SFA (Sales Force Automation), DMS (Distribution Management System), BI (Business Intelligence), and TPM (Trade Promotion Management) solutions
• Understanding of retail distribution processes and trade marketing activities

RESPONSIBILITIES

• Analyze and document business processes within implementation projects
• Gather, clarify, and formalize business requirements
• Prepare functional specifications and technical documentation for product customization and new functionality
• Collaborate with development teams throughout the implementation process
• Communicate with clients, clarify business needs, and support solution implementation
• Conduct workshops, product demonstrations, and user training sessions
• Support UAT activities and validate implemented functionality
• Maintain project documentation and ensure requirements traceability

About the Role

We are looking for a highly analytical, detail-oriented, and proactive Product / Web Data Analyst to own and evolve our analytics ecosystem.

This role requires much more than reporting. The successful candidate will become an expert in our product, customer journeys, data architecture, and measurement framework. They will be expected to understand how data is generated, where it comes from, how it is processed, and how it should be interpreted to support product and business decisions.

The ideal candidate is naturally curious, enjoys investigating complex systems, and is comfortable working independently while collaborating closely with cross-functional teams.

What You'll Do

Deep Product Understanding

• Develop a comprehensive understanding of the product, business model, customer lifecycle, and key success metrics.
• Map and analyze user journeys across multiple touchpoints.
• Identify opportunities, bottlenecks, and behavioral patterns throughout the customer lifecycle.
• Support data-driven decision-making across Product, Marketing, CRM, and Leadership teams.

Data Analysis & Insights

• Work directly with raw event-level data stored in BigQuery.
• Explore, clean, transform, validate, and analyze large datasets.

Our partner is an international cybersecurity and managed IT services company that helps businesses across Europe build secure, reliable, and compliant IT infrastructure.

The company combines 24/7 Security Operations, cloud & infrastructure services, incident response, and compliance, working with clients in fintech, financial services, critical infrastructure, and other regulated industries.

We are currently looking for a Mid-Senior Microsoft SQL Server DBA / Database Engineer who will work with production database environments, performance optimization, DWH, ETL, and reporting workloads, Power BI, and various database technologies, as well as participate in infrastructure modernization and development.

What will be in focus

SQL Server Administration & Operations

• Administration and support of Microsoft SQL Server 2019–2022 in a production environment.
• Monitoring database health, performance, availability, and capacity.
• Management of Backup & Restore, recovery, and disaster recovery procedures.
• Support and maintenance of High Availability solutions, including Always On Availability Groups, Log Shipping, and Replication.
• Planning and execution of SQL Server upgrades, patching, and migrations.
• Management of database security, authentication, permissions, and access controls.
• Working with SQL Server Agent and supporting scheduled database jobs.

Performance Tuning & Troubleshooting

• Investigation and resolution of database performance issues in production.
• Analysis and optimization of SQL queries, execution plans, and database workloads.
• Monitoring wait statistics, system resources, and performance bottlenecks.
• Development and maintenance of indexing and statistics strategies.
• Troubleshooting blocking, deadlocks, concurrency issues, and long-running queries.
• Use of Query Store, Extended Events, and Dynamic Management Views (DMVs) for performance diagnostics.
• Conducting Root Cause Analysis of production incidents and recurring database problems.
• Identifying potential risks and proactively resolving issues before they impact the business.

Database Development Support

• Supporting development teams on SQL and T-SQL optimization.
• Reviewing database designs, schemas, and data models.
• Participation in deployment and release activities.
• Supporting SSIS packages and database integration processes.
• Participation in code reviews of stored procedures, views, functions, and ETL solutions.
• Collaboration with development, BI, ETL, and data teams to improve database performance and reliability.

Monitoring & Automation

• Implementation and support of SQL Server monitoring solutions.
• Development of proactive health checks, alerts, and diagnostic procedures.
• Creation of automation scripts using T-SQL and PowerShell.
• Continuous improvement of operational processes and reduction of manual administration efforts.
• Support and development of technical documentation, operational procedures, and knowledge base.

Must Have

• 3+ years of experience as a Microsoft SQL Server DBA, Database Engineer, or in a similar role.
• Strong hands-on experience with Microsoft SQL Server.
• Practical experience in database administration and production support.
• Experience with Power BI and support of data sources / backend performance.
• Practical experience with at least one of the relational database technologies — PostgreSQL or MySQL.
• Good level of T-SQL and practical experience with query optimization.
• Experience with Execution Plans, Query Store, Extended Events, DMVs, Wait Statistics, indexing, and statistics management.
• Practical experience with SQL Server performance diagnostics, including blocking, deadlocks, concurrency issues, execution plans, indexing strategies, and resource bottleneck analysis.
• Practical experience with Backup & Restore, Always On Availability Groups, Replication, SQL Server Agent, and Database Security.
• Understanding of authentication, permissions, and access controls.
• Solid understanding of Windows Server fundamentals.
• Experience with ticketing systems and incident management processes.
• Ability to independently diagnose, investigate, and resolve complex technical issues.
• Ukrainian and/or Russian language — mandatory.
• English — B1 level or higher.

Nice to Have

• Experience with Azure — Azure SQL Database, Azure SQL Managed Instance, or other cloud database services.
• Experience with AWS and cloud database services.
• Deeper experience administering PostgreSQL / MySQL.
• Experience with SSIS, ETL, and Data Warehouse solutions.
• PowerShell scripting and automation.
• Experience with VMware environments.
• Experience with large database environments, including 1 TB+.
• Experience with monitoring and observability platforms.
• Experience participating in database migrations, modernization, or cloud transformation projects.

Location and Format

📍 Valencia, Spain
🏢 Office-based during the onboarding period
💼 B2B contract
🤝 Long-term cooperation
💰 Compensation terms are discussed individually — depending on the candidate's experience and professional profile.

Hiring Process

1. Interview with Recruiter
2. Interview with Team Lead
3. Final Interview — CTO & CEO