Jobs Data Engineer

We're looking for an experienced Senior Backend Engineer to help build and operate an AI-powered software development platform for a public-sector client. The platform combines LLM-based code generation, AI model integrations, cloud-native backend services, and automated development workflows in a scalable production environment.
 

If you're passionate about distributed systems, modern JVM technologies, cloud infrastructure, and building secure identity-driven platforms, we'd love to hear from you!
 

Core Competence:
 

• 5+ years of professional backend development experience with strong software engineering fundamentals and experience building scalable distributed systems.
• Strong proficiency in Kotlin and/or Java with hands-on experience developing backend applications on the JVM ecosystem.
• Deep experience with Spring Boot / Spring Framework for designing and implementing production-grade microservices.
• Strong understanding of microservices architecture, including service boundaries, API design, inter-service communication, resilience patterns, and distributed system challenges.
• Solid experience with PostgreSQL, including database modeling, schema design, query optimization, and migration management.
• Experience with JUnit for unit and integration testing, with a strong focus on code quality and reliability.
• Hands-on experience with Docker for containerization, image creation, and optimization.
• Strong knowledge of Kubernetes (K8s) for deploying, scaling, and operating cloud-native applications.
• Experience with Helm for Kubernetes package management and deployment automation.
• Proficiency with Gradle for build automation and dependency management.
• Experience with Git/GitLab workflows, including branching strategies, CI/CD pipelines, and code review processes.
• Practical knowledge of OpenID Connect and experience implementing authentication and authorization flows.
• Experience with Keycloak or Ory products, including IAM configuration, realms, clients, and identity flows.
   

Preferred Qualifications:
 

• Experience working with AI-powered platforms, LLM integrations, or AI-assisted development tools.
• Background in digital identity and verifiable credentials ecosystems.
• Knowledge of modern identity standards, including:
  • OpenID4VP — presentation of verifiable credentials.
  • SD-JWT — selective disclosure of individual attributes.
  • OpenID4VCI / OpenID4VC — issuance and management of digital credentials.
  • mdoc (ISO/IEC 18013-5) — mobile document formats such as mobile driver's licenses.
• Experience building secure systems for government, enterprise, or regulated environments.
• Understanding of cloud-native architecture principles and production operations.

• Experience contributing to early-stage platforms and evolving solutions from initial concepts into reliable production systems.

   

What We Offer You:
 

• Cutting-Edge AI Projects: Work on a platform combining LLM technologies, backend engineering, and cloud-native infrastructure.
• Technical Impact: Influence architecture decisions and contribute to building scalable solutions used in real-world environments.
• Modern Engineering Culture: Work with advanced technologies, automation practices, and strong engineering standards.
• Professional Growth: Opportunity to deepen expertise in AI platforms, distributed systems, and digital identity technologies.
• Global Collaboration: Join an international team working on challenging and impactful projects.
• Flexible Work Environment: Remote-friendly setup with a focus on autonomy and work-life balance.

About client

Client builds and operates GPU cloud infrastructure at the scale modern AI demands. We run dense accelerated-compute clusters on bare metal, powered by NVIDIA and AMD accelerators and K8s, stitched together with high-performance Ethernet and InfiniBand fabrics, and we deliver them to customers as reliable, secure, high-throughput platforms. We are scaling rapidly across new data center sites, and the infrastructure team sits at the center of that growth, building the systems that turn racks of hardware into a product customers depend on.

The role

We are hiring a Principal Infrastructure Engineer to build the foundation of our greenfield v2 cloud platform: the bare-metal provisioning and control-plane substrate that turn new racks of GPU hardware into reliable, secure, customer-ready capacity.This is a build-focused, hands-on role and the most senior individual contributor on the platform build. You will own the recommendation and the call on the infrastructure layer (we’re currently in POC across different vendors) and the build-vs-buy decision that goes with it, with our Cloud Platform Architect pressure-testing it. You will drive integration across the other domains and define how infrastructure is templated, multi-tenanted, and handed to customers. You will define the architecture and the standards the rest of the team builds to, while still being deep in the code yourself. Day-to-day operations are not your focus, getting the platform designed and built right is.

You will work at the center of new cluster and new-site buildouts, partnering closely with our network, SRE, and security engineers. They own the fabric and day-to-day operations; you own getting the platform built right. Because the systems you design become the foundation customer GPU workloads run on, getting the architecture and automation right the first time matters more here than almost anywhere.

What you’ll own

• Platform architecture and technical direction: own the architecture of the cloud platform control plane and orchestration layer for new GPU clusters, making the foundational decisions and setting the technical standards the rest of the platform is built on.

• Bare-metal provisioning automation: build the automated pipeline that takes a node from rack-and-stack handoff to a fully configured, real acceptance gates before a node is marked customer-ready, firmware to the qualified recipe, GPU burn-in, NCCL/RCC runs, and fabric checks, plus a golden-image build-and-qualify pipeline in CI repeatedly across sites and at scale.

• Infrastructure as code and automation: treat the platform as code from day one. Build the Terraform and Ansible that provision, configure, and validate the platform, so the build is reproducible rather than hand-assembled.

• Control-plane substrate: build the control plane that turns provisioned bare metal into cluster-ready capacity, and own the clean handoff to the Kubernetes layer. You own tenant isolation at the network and hardware layer; the Kubernetes and namespace isolation model belongs to the Principal Kubernetes Platform Engineer.

• DPU and SmartNIC integration: design how we leverage BlueField DPUs in the platform, offload, provisioning, isolation, and the SuperNIC/DPU-mode configurations that let us get the most out of the hardware.

• Platform reliability by design. Build observability, guardrails, and progressive-rollout mechanisms into the platform from the start. As you build it and design to our SOC 2, ISO 27001, and HIPAA obligation.

• Security Built-in: instrument the platform as you build it and design to our SOC 2, ISO 27001, and HIPAA obligations. Vault-based secrets model from the start. BIOS and system prep for trusted domain execution, secure boot, and backend-fabric hardening.

• Confidential-compute-ready platform (growth area): Design the tenancy and scheduling so it fits our confidential-compute roadmap: whole-GPU per tenant, and TDX with GPU passthrough. Deep CC background is a plus, not a requirement.

• New site buildouts: take a critical role in standing up the platform at new data center sites, turning green-field facilities into production capacity.

• Technical leadership: set patterns, review designs, and raise the engineering bar across the infrastructure team multiplying the impact of other engineers and mentoring senior ICs, without becoming a people manager.

What we’re looking for

Required

• 10+ years building production infrastructure at scale, including deep green-field and platform-build experience, for cloud, hosting, or high-performance compute environments.

• A track record of setting technical direction on complex platforms, architecture others adopt, standards others follow, and influence that extends well beyond your own keyboard.

• Strong Linux systems fundamentals, you can reason about the kernel, networking stack, storage, and performance, not just the command line.

• Fluency in infrastructure as code and automation: Terraform, Ansible, and a real programming language used to build durable platform tooling, not just one-off scripts.

• Production Kubernetes experience: building, deploying, and operating clusters and the platform services that run on them.

• A demonstrated bias toward building things right the first time: sound architecture, reproducible automation, and durable design over short-term shortcuts.

• Strong written communication, you document designs and decisions clearly and leave systems more understandable than you found them.

Strongly preferred

• DPU / SmartNIC experience, especially leveraging offload, DPU/SuperNIC modes, and platform designs that exploit them. This is a meaningful differentiator for us.

• Experience with GPU and accelerated-compute infrastructure across NVIDIA and AMD, including ROCm and firmware lifecycle, or HPC/AI infrastructure.

• Bare-metal provisioning at scale (Redfish/BMC automation, NetBox or a similar source of truth).

• Experience standing up cloud-platform control-plane stacks in a green-field setting.

• Networking depth, BGP, VLANs, fabric concepts, and the ability to debug connectivity and throughput issues. You won’t own the network, but the more fluently you can partner with our network engineers, the better.

• Familiarity with high-performance fabrics: RoCE Ethernet / InfiniBand.

• HashiCorp Vault, and building within a SOC 2 / ISO 27001 / HIPAA compliance posture.

How we work

• Small, senior, high-trust teams. We hire people who can own and solve problems end to end and we give them the room to do it.

• Code over clicks. The platform is defined, reviewed, and versioned. Manual changes are the exception and they get automated away.

• Build it right. We invest in sound architecture and durable design so the platform scales cleanly instead of accumulating debt.

• Customers are real. The platform exists to serve customer workloads, and we build to the reliability and white-glove standard that implies.

• We document. Designs, decisions, and architecture are written down so the team compounds knowledge instead of re-learning it.

AI as a force multiplier

We expect our engineers to use AI to move faster and operate at higher leverage, and we build our environment to make that the default rather than an afterthought. We maintain CLAUDE.md and AGENTS.md context files across our repositories, run MCP servers against our operational systems (Jira, NetBox, Checkmk), and use agentic coding tools such as Claude Code directly in our infrastructure and platform workflows.

You don’t need to be an AI expert, but you should be eager to fold these tools into how you design, build, and automate — and to help us push the frontier of what an AI-leveraged infrastructure team can do.

What success looks like

First 30 days

• Ramped on our environment: the platform stack, provisioning approach, and target architecture. able to navigate the codebase and design docs independently.

• Shipped your first meaningful contribution to the platform build with the team’s review.

• Aligned with network, SRE, and security on where your work meets theirs.

First 90 days

• Owning a defined component of the platform build end to end, from design through delivery.

• Delivered a meaningful piece of provisioning or platform automation that made the build faster, more reproducible, or more reliable.

• Shaped at least one foundational architecture decision that the platform is built on.

First 12 months

• The recognized technical authority for the cloud platform build, setting direction and trusted across network, SRE, security, and platform engineering.

• Designed and delivered a significant piece of the cloud platform or its automation that raised the team’s leverage and the platform’s reliability.

• Took a lead role in bringing at least one new data center site online.

About the Role

We are looking for an experienced Senior Data Engineer to design, build, and maintain scalable data platforms and pipelines. You will work closely with data analysts, data scientists, software engineers, and business stakeholders to deliver reliable, high-quality data solutions that power analytics and business decision-making.

This role is ideal for someone passionate about building modern data architectures, optimizing data workflows, and ensuring operational excellence.

Responsibilities

• Design, develop, and maintain scalable batch and streaming data pipelines.
• Build robust ETL/ELT workflows for ingesting, transforming, and serving data.
• Optimize data storage, processing, and query performance.
• Develop and maintain data models that support reporting, analytics, and machine learning.
• Ensure data quality, reliability, security, and governance across the platform.
• Monitor production pipelines and troubleshoot operational issues while maintaining SLAs.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Improve automation, deployment processes, and infrastructure for data engineering workloads.
• Contribute to architectural decisions and engineering best practices.
• Document technical solutions and mentor junior engineers when needed.

Required Skills

• 5+ years of experience in Data Engineering or a similar role.
• Strong proficiency in Python and SQL.
• Experience building scalable ETL/ELT pipelines.
• Hands-on experience with modern cloud platforms (AWS, Azure, or Google Cloud).
• Experience working with data warehouses such as Snowflake, BigQuery, Redshift, or Synapse.
• Strong understanding of data modeling principles.
• Experience with orchestration tools such as Airflow or similar.
• Knowledge of distributed data processing technologies (Spark preferred).
• Experience with Git and software engineering best practices.
• Strong analytical and problem-solving skills.
• Experience supporting production systems, troubleshooting incidents, and maintaining operational reliability and SLAs.
• Excellent communication skills with both technical and non-technical stakeholders.

Nice to Have

• Experience with dbt for data transformation and modeling.
• Knowledge of data observability and monitoring tools.
• Experience with streaming technologies such as Kafka, Apache Flink, or similar.
• Familiarity with CI/CD pipelines for data engineering.
• Experience implementing data quality frameworks and governance practices.
• Experience with Infrastructure as Code (Terraform or similar).
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience).

What We Offer

• Fully remote work ( shifts per USA time zone)
• Opportunity to work with modern cloud-based data platforms.
• Long-term international project.
• Collaborative engineering culture.
• Competitive compensation based on experience.
• Career growth opportunities and exposure to cutting-edge data technologies.

We are looking for a Senior Data Engineer. This is not a standard ETL role. You will work on a high-load system processing 10,000+ executions per minute, building scalable pipelines where AI and LLM logic are embedded directly into production data flows.

The role combines data engineering, backend thinking, infrastructure ownership, and real production AI integration.

What you will do:

• Design and maintain scalable data pipelines in Python on Google Cloud Platform
• Build and optimize AI-driven scoring flows using LLMs for real-time identity enrichment
• Work with BigQuery, Apache Spark, and Apache Iceberg for heavy data processing
• Maintain high-load orchestration with custom Python nodes and complex workflows
• Own deployment and release processes (CI/CD)
• Optimize PostgreSQL performance under heavy load
• Investigate incidents and resolve root causes permanently

• Use AI engineering tools such as Claude in daily development

   

Requirements:

• 4+ years of experience in Data Engineering / Backend Engineering
• Strong Python skills
• Commercial experience with production LLM integration (OpenAI / Anthropic / Gemini)
• Strong knowledge of GCP (Cloud Functions, IAM, Networking)
• Experience with BigQuery, Spark, Iceberg
• Good understanding of Kubernetes
• Experience with workflow orchestration tools (n8n is a strong plus)
• Strong practical knowledge of PostgreSQL

• English level B2+

   

What is important for us:

• Ownership mindset
• Fast learning ability
• Strong problem-solving approach
• Active AI usage in engineering work
• Focus on practical results over unnecessary complexity

Are you passionate about building cutting-edge, AI-ready data platforms from the ground up? We are looking for a Senior Data Engineer to join our Data Engineering Team and lead high-impact, greenfield initiatives.

You will work on building modern cloud-native data platforms, migrating on-premises legacy systems to the cloud, and laying the architectural foundation for AI-ready data infrastructure.

In this role, you will collaborate closely with Machine Learning, Data Science, and Product teams, serving as a key technical contributor and thought leader. You will also drive R&D efforts around agentic AI architectures, event-driven systems, and LLM-ready data pipelines — turning architectural concepts into production-grade solutions.

Responsibilities:

• Design and build scalable, cloud-native data platforms from greenfield to production
• Implement near-real-time ingestion pipelines using event-driven patterns
• Define and enforce platform standards, including Data Lake / Lakehouse principles, medallion architecture, and data contracts
• Refactor and optimise existing Spark and PySpark scripts for performance and maintainability
• Introduce best practices for code quality, testing, and CI/CD across data pipelines
• Drive adoption of AI tooling and agentic workflows within the data engineering team
• Ensure data quality, observability, and reliability across all pipelines and platforms

• Develop self-service tooling and microservices to simplify platform usage for other teams

   

Requirements:

• 5+ years of professional experience in Data Engineering
• Strong Python and SQL development skills for pipeline development and optimisation
• Proficiency in Apache Spark / PySpark, including query optimisation and performance tuning
• Hands-on experience with Databricks (preferred) or Snowflake
• Experience with at least one major cloud provider: Azure (preferred), AWS, or GCP
• Experience with stream processing technologies (Kafka, Spark Structured Streaming)
• Solid understanding of ETL/ELT patterns, data modelling (dimensional, Data Vault), and data warehousing
• Experience with orchestration tools (Apache Airflow, Azure Data Factory, or equivalent)
• Knowledge of Infrastructure as Code (Terraform or equivalent)
• Understanding of production-grade system requirements: reliability, scalability, observability, and performance

• Upper-Intermediate English level

   

Will be a plus

• Familiarity with RAG pipeline design and LLM integration patterns
• Knowledge of data governance frameworks and tools (Unity Catalog, Apache Atlas, or similar)
• Experience with dbt for data transformation and modelling

• Familiarity with MLflow, Feature Stores, or ML platform integration

   

Personal profile

• Self-driven and proactive in identifying improvements
• Comfortable working in a fast-paced, innovative environment
• Strong problem-solving mindset with attention to detail
• Open to experimenting with emerging technologies and approaches

_____________________________________________________________

Ти захоплюєшся створенням передових, AI-ready дата-платформ з нуля? Ми шукаємо Senior Data Engineer, щоб ти приєднався(-лася) до нашої команди Data Engineering та очолив(-ла) масштабні, інноваційні ініціативи з нуля.

Ти працюватимеш над побудовою сучасних хмарних дата-платформ, міграцією локальних (on-premises) легасі-систем у хмару та створенням архітектурного фундаменту для AI-ready дата-інфраструктури.

У цій ролі ти тісно співпрацюватимеш з командами Machine Learning, Data Science та Product, виступаючи ключовим технічним експертом та лідером думок. Також ти вестимеш R&D-роботи над agentic AI-архітектурами, подієво-орієнтованими системами та LLM-ready дата-пайплайнами — перетворюючи архітектурні концепції на готові до продакшену рішення.

Обовʼязки:

• Проєктувати та створювати масштабовані, хмарні дата-платформи від концепції до продакшену
• Реалізовувати пайплайни для майже реального часу (near-real-time ingestion) з використанням подієво-орієнтованих патернів
• Визначати та впроваджувати стандарти платформи, включно з принципами Data Lake / Lakehouse, медальйонною архітектурою та дата-контрактами
• Рефакторити та оптимізувати наявні скрипти на Spark та PySpark для підвищення продуктивності та зручності підтримки
• Запроваджувати найкращі практики якості коду, тестування та CI/CD для дата-пайплайнів
• Сприяти впровадженню AI-інструментів та agentic-підходів у команді дата-інженерів
• Забезпечувати якість, спостережуваність (observability) та надійність усіх пайплайнів і платформ

• Розробляти self-service інструменти та мікросервіси, що спрощують використання платформи іншими командами

   

Вимоги:

• 5+ років комерційного досвіду в Data Engineering
• Сильні навички розробки на Python та SQL для створення та оптимізації пайплайнів
• Впевнене володіння Apache Spark / PySpark, включно з оптимізацією запитів та налаштуванням продуктивності
• Практичний досвід роботи з Databricks (бажано) або Snowflake
• Досвід роботи з принаймні одним великим хмарним провайдером: Azure (бажано), AWS або GCP
• Досвід роботи з технологіями потокової обробки даних (Kafka, Spark Structured Streaming)
• Глибоке розуміння ETL/ELT-патернів, моделювання даних (dimensional, Data Vault) та побудови дата-складів
• Досвід роботи з інструментами оркестрації (Apache Airflow, Azure Data Factory або аналогами)
• Знання Infrastructure as Code (Terraform або аналогів)
• Розуміння вимог до продакшен-рішень: надійність, масштабованість, спостережуваність, продуктивність

• Рівень англійської — Upper-Intermediate

   

Буде плюсом:

• Знайомство з проєктуванням RAG-пайплайнів та патернами інтеграції LLM
• Знання фреймворків і інструментів для data governance (Unity Catalog, Apache Atlas або подібних)
• Досвід роботи з dbt для трансформації та моделювання даних

• Знайомство з MLflow, Feature Stores або інтеграцією з ML-платформами

   

Особистий профіль:

• Самомотивованість та проактивність у пошуку покращень
• Комфортна робота у швидкому та інноваційному середовищі
• Сильне аналітичне мислення та увага до деталей
• Відкритість до експериментів з новими технологіями та підходами

Intempt runs 36+ microservices on AWS EKS (Kubernetes 1.25) processing 350M+ events/month. Aurora PostgreSQL 13.8, MSK Kafka 3.3.1, ClickHouse, Apache Flink, HashiCorp Vault, and Redis are all managed through Terraform with SOPS-encrypted secrets, deployed via GitHub Actions CI/CD with OIDC auth.

The infrastructure works. We need someone to own it.

You'll manage the full lifecycle: EKS clusters with spot instances across node groups, Aurora provisioned instances with logical replication, MSK brokers with TLS and auto-scaling storage, Vault HA with KMS auto-unseal, cert-manager for Route53 DNS validation, ALB ingress controllers, cluster autoscaler, EFS, Noobaa object storage, and S3+CloudFront static site delivery. Every service has its own ECR repo with immutable tags, scan-on-push, and a dedicated GitHub Actions deployer role scoped to exactly the permissions it needs.

What you'll own

• EKS cluster operations — node group scaling, spot instance management, Fargate profiles, security groups, OIDC provider config
• Terraform IaC across all environments (staging/QA/production) with S3 state backend and SOPS+KMS secret management
• Database reliability — Aurora PostgreSQL 13.8 (provisioned, 2 instances, encrypted, logical replication), ElastiCache Redis, ClickHouse on Altinity
• Streaming infrastructure — MSK Kafka 3.3.1 (TLS, CloudWatch logs, Prometheus JMX/Node exporters, auto-scaling storage) and Flink Kubernetes Operator 1.4.0
• CI/CD pipeline — GitHub Actions with OIDC auth, 20+ per-service deployer roles mapping git repos to ECR repos, plan/apply workflow with manual production gates
• Secrets and service identity — HashiCorp Vault HA on EKS with PostgreSQL backend, KMS auto-unseal, Transit engine, AppRole auth
• Observability — DataDog agents, Prometheus exporters, CloudWatch, incident response and runbooks
• Backup and DR — AWS Backup (daily, 30-day retention) covering S3 and EFS, RDS automated backups, point-in-time recovery

You are

• 3+ years running production Kubernetes on AWS — not just deploying to it, actually operating clusters at scale
• Deep Terraform experience — you've managed multi-environment IaC with remote state, modules, and encrypted secrets
• Comfortable with managed Kafka (MSK or Confluent), stream processing (Flink/Spark), and the failure modes of distributed messaging
• Familiar with HashiCorp Vault operations — unsealing, secret rotation, Transit engine, AppRole patterns
• Someone who has set up and maintained CI/CD pipelines with least-privilege IAM roles and OIDC federation
• Strong in networking fundamentals — VPCs, security groups, NLBs, ALBs, DNS (Route53), TLS certificates (ACM/cert-manager)
• The person who automates themselves out of toil and writes the runbook before the pager goes off

Stack you'll live in

AWS (EKS, Aurora, MSK, ElastiCache, S3, CloudFront, Route53, ACM, EFS) · Kubernetes 1.25 · Terraform · GitHub Actions · HashiCorp Vault · Apache Flink · ClickHouse (Altinity Cloud) · Loki · Helm · SOPS + KMS · Docker / ECR · Prometheus

Not a fit if

• You've only used managed Kubernetes through a UI — we need someone who reads the Terraform and knows what every resource does
• You think infrastructure-as-code means a CloudFormation template someone else wrote
• You can't debug a pod that won't schedule without googling every error message

Key Responsibilities

• Design, develop, and optimize deep learning models using PyTorch.
• Build and maintain scalable training and evaluation pipelines.
• Lead model selection, experimentation, and fine-tuning activities.
• Improve training performance, efficiency, and scalability across large datasets and compute environments.
• Work with multimodal data sources, including video, images, and audio.
• Provide technical guidance on AI architecture, training strategies, and best practices.
• Collaborate closely with product, engineering, and research teams to translate business objectives into AI solutions.
• Support deployment and operationalization of machine learning models in production environments.

Required Experience

• 5+ years of experience in Machine Learning, Data Science, or AI Engineering roles.
• Strong hands-on experience developing deep learning models with PyTorch.
• Proven experience building and optimizing training pipelines for machine learning systems.
• Deep understanding of model training, hyperparameter tuning, and performance optimization.
• Experience working with computer vision, audio processing, or multimodal AI applications.
• Strong software engineering skills and experience developing production-ready ML solutions.
• Experience with cloud-based or distributed training environments.

Preferred Qualifications

• Experience applying machine learning techniques within behavioral science, human behavior analysis, affective computing, or related domains.
• Experience with video understanding, speech/audio analysis, or multimodal foundation models.
• Familiarity with MLOps practices, model monitoring, and scalable deployment architectures.
• Experience working with large-scale datasets and distributed training frameworks.

Місія ролі:
Забезпечити операційний кіберзахист AI-платформи та AI-сервісів: security monitoring, incident response, vulnerability management, IAM control, auditability, detection engineering і взаємодію з внутрішніми або зовнішніми SOC/IR-командами. Це роль, яка відповідає за те, щоб AI-рішення не були “чорною коробкою” з точки зору безпеки, логування, реагування та контролю.

Обов’язки:
_Налаштування security monitoring для AI-платформи.
_Визначення обов’язкових security logs для AI-сервісів, API, admin actions.
-Побудова detection rules та alerting.
-Управління vulnerability backlog.
-Контроль IAM, privileged access і audit logs.
-Підготовка incident response playbooks.
-Проведення security reviews перед production release.
-Взаємодія з DevOps, AppSec, PM і зовнішніми security-партнерами.
-Участь у прийманні vendor-рішень з точки зору operational security.

Вимоги:
-4+ роки досвіду в SecOps, SOC, infrastructure security або security engineering.
-Досвід роботи з SIEM/log management: Microsoft Sentinel, Splunk, Elastic, OpenSearch, Wazuh або аналоги.
-Практичний досвід incident response: triage, containment, escalation, post-incident review.
-Досвід vulnerability management: scanning, prioritization, remediation tracking.
-Розуміння IAM, MFA, privileged access, RBAC, service accounts.
-Розуміння Linux hardening, network security, firewalling, TLS, VPN.
-Досвід створення security playbooks/runbooks.
-Вміння читати технічні логи та знаходити аномалії.
Бажано:
-Досвід Kubernetes/container security.
-Досвід з MITRE ATT&CK, NIST, ISO 27001.
-Досвід у regulated або critical environments.
-Досвід побудови detection rules для API, identity, infrastructure та application events.
-Досвід інтеграції security logging з DevOps/MLOps платформами.

 

Умови для чинних військових:
-Військова служба
-Служба в Києві (житло не надається), Центр, Київ
-Повне грошове забезпечення для тилової посади

Умови для цивільних:

-Офіційне працевлаштування
-Офісна робота, Київ, Центр
-Можливе бронювання

Our client is a performance rights organization in the United States. It collects blanket license fees from businesses that use music, entitling those businesses to play or sync any songs from the client’s repertoire of over 22.4 million musical works. On a regular basis, the client distributes the money to songwriters, composers, and music publishers as royalties to those members whose works have been performed.

Requirements:

• Databricks Expertise: Minimum of 3+ years of proven, previous Databricks administration experience in a complex, multi-tenant enterprise environment.
• Advanced Terraform: Strong Terraform skills. You must have hands-on experience building and maintaining reusable modules specifically utilizing the Databricks Terraform Provider.
• Strong understanding of cloud-native IaC (Infrastructure as Code) like Terraform for automating instance provisioning
• Cloud IAM Mastery: Deep, practical knowledge of Cloud Identity and Access Management (IAM), including writing secure IAM policies, managing roles, cross-account access, and secrets management.
• Robust cloud networking experience
• Scripting: Proficiency in Bash

Job responsibilities:

• Environment Ownership: Own the technical implementation of all Databricks environment configuration changes across multi-workspace environments.
• Platform Lifecycle: Manage Databricks runtimes, cluster policies, and coordinate seamless platform upgrades.
• Infrastructure as Code (IaC): Utilize strong Terraform skills to programmatically provision, update, and manage all Databricks resources (workspaces, clusters, tokens, policies) and cloud infrastructure, eliminating manual configurations.
• Cloud Security & Identity (IAM): Architect and enforce secure access models. Manage Cloud Identity and Access Management (IAM) integrations for users, groups, and service principals.
• Secure Cloud Networking: Design, implement, and maintain secure cloud networking architectures for Databricks.
• Cost Optimization: Actively review current environment setups—including cluster configurations, instance types, and data storage parameters—to identify and execute cost-optimization opportunities.
• Efficiency Strategies: Provide expert input on automation, auto-scaling, and monitoring strategies to drastically reduce ongoing compute and storage costs.

The Mission
Are you a cloud architect who finds beauty in a perfectly orchestrated pipeline? Do you believe that “manual” is a four-letter word? We are looking for a Senior SRE specialized in BI Ecosystems to join our mission-critical Infrastructure team.
In this role, you won’t just “maintain” systems; you will be the master weaver connecting our advanced Data Analytics tools with a rock-solid, automated GCP/AWS backbone. You will bridge the gap between traditional Business Intelligence and modern Cloud Engineering, ensuring our data flows are fast, our visualizations are seamless, and our infrastructure is invisible.

What You Will Do
1. Master the Orchestration (GCP & GKE)
You will take full ownership of our Google Kubernetes Engine (GKE) clusters. This isn’t just
about pods and services; you’ll manage advanced networking (VPC Service Controls, Shared VPC) and high-availability node configurations to ensure our data platforms never skip a beat.
2. Advance Data Architectures (Lakehouse)
You will design and support a unified Data Lakehouse architecture by integrating BigQuery and Cloud Storage. Your mission is to break down silos, ensuring that our raw data and analytical models coexist in a single, high-performance ecosystem. You will implement robust governance and security policies that ensure data quality and accessibility, providing a “single source of truth” that is both scalable and cost-effective
3. Evangelize Infrastructure as Code (IaC)
Our goal is 100% immutability. You will use Terraform to automate the entire lifecycle of our
GCP resources—from Compute Engine and Cloud Run to Cloud SQL—ensuring consistency
across Dev, Staging, and Production.
4. Empower DataViz Excellence
You will be the enabler for our Data Analysts. You’ll deploy, optimize, and scale Qlik Sense,
Tableau, or Similars environments on GCP, handling everything from SSO/IAM authentication to high-performance connectivity with our backend data sources.
5. Hybrid Cloud & Legacy Modernization
Complexity is our playground. You will manage critical AWS resources (EC2, S3) and ensure
seamless interoperability with GCP. Simultaneously, you will lead the charge in migrating legacy monolithic systems into modern, microservices-based architectures.
6. Data Engineering Collaboration
Working side-by-side with Data Engineers, you’ll help build and maintain robust pipelines using Cloud Dataflow, Cloud Composer (Airflow), and BigQuery. You ensure that the “plumbing” of our data world is leak-proof and high-performing.
7. Reliability, Security & FinOps
● CI/CD: Design sophisticated pipelines (GitLab CI/GitHub Actions) integrating DevSecOps best practices.
● Observability: Implement deep monitoring using Google Cloud Operations Suite and Grafana.
● FinOps: Be the guardian of our budget, identifying and eliminating cloud waste through
smart optimization.

Who You Are (Requirements)
● Cloud Expert: Proven experience managing complex environments in Google Cloud Platform (GCP) and AWS.
● Data Architect: Deep understanding of Data Lakehouse models and governance.
● Kubernetes Pro: Deep knowledge of GKE, including advanced networking and security policies.
● Terraform Ninja: Ability to write modular, scalable, and secure IaC.
● BI Infrastructure Savvy: Experience deploying and tuning enterprise visualization tools (Tableau, Qlik, or Power BI).
● Automation Mindset: Strong scripting skills (Python, Bash, or Go) and mastery of CI/CD engines.
● Data-Driven: Familiarity with Big Data tools like Airflow, BigQuery, and Dataflow.
● Security-First: Solid understanding of encryption, IAM roles, and network security standards.

Why Join Us?
● Impact: You are not a cog in the machine; you are building the machine.
● Tech Stack: Work with the latest tools in the Cloud and Data world (Lakehouse, GKE).
● Culture: We value technical excellence, proactive problem-solving, and a “fail fast, learn
faster” mentality.
● Growth: We invest in your certifications and continuous learning. Ready to redefine how BI meets SRE? If you are a builder who loves solving the puzzle of high-scale data infrastructure, we want to meet you.

Apply now and let’s build the future of data infrastructure together!

Dataforest is looking for a Data Engineer to join an interesting software development project in the field of Cybersecurity. Our client’s platform offers Identity Insights drives real-time, multi-contextual digital forensics to protect new account opening workflows and expose fake accounts already in a customer database.

You'll be a great fit if you have:

- 3+ years of hands on in data engineering;
- 3+ years of commercial experience with Python;
- Advanced experience with SQL DBs (optimisations, monitoring, etc.);
- Advanced experience with PySpark;
- Solid understanding of ETL principles (architecture/ monitoring/ alerting/search and resolve bottlenecks);
- Familiar with AWS infrastructure (boto3, S3 buckets, etc);
- Experience working with large volumes of data;
- Understanding the principles of medallion architecture.

Would be a plus:

- Cassandra/Scylla
- PostgreSQL
- Pandas
- Experience with Kafka and Redis

What you'll do:

- Maintain data processing architecture using Python and PySpark that interacts with ScyllaDB & PostgreSQL.
- Work with Databricks infrastructure to ensure reliability, scalability, and cost efficiency.
- Proactively identify bottlenecks and suggest technical improvements.

We ensure your growth with:

- Working in a fast-growing company;
- Great networking opportunities with international clients, challenging tasks;
- Personal and professional development opportunities;
- Competitive salary fixed in USD;
- Paid vacation and sick leaves;
- Flexible work schedule;
- Friendly working environment with minimal hierarchy;
- Team building activities, corporate events.

The company is a healthcare data analytics provider offering modern data infrastructure, reporting, and AI‑driven insights. Their technology focuses on improving how healthcare organizations manage, analyze, and use clinical data.

Core Solutions

•  Healthcare data platform: Consolidates structured and unstructured patient data in near real time to create a unified data foundation.

•  Longitudinal clinical data ecosystem: Enables comprehensive management and analysis of patient information.

•  Patient engagement platform: Integrates data from multiple sources to support secure communication and holistic patient care.

•  Population health management suite: Aggregates clinical and claims data, identifies at‑risk groups, and supports interventions to improve outcomes and reduce costs.

•  Care coordination and analytics tools: Provide a complete view of patient data to enhance quality, reduce costs, and support risk stratification.

•  AI and analytics services: Transform healthcare data into actionable insights for better care and operational efficiency.

Main expectations:
1.  Strong Python 3.x backend development (Flask + multithreading)
2.  Solid SQL skills and hands‑on experience with PostgreSQL
3.  Practical experience with BigQuery and Google Cloud services
4.  Containerization skills (Docker/Podman) and basic Kubernetes knowledge
5.  ETL/ELT pipeline experience and large‑scale data processing

Conditions:

• Compensation: 5500–6500 USD/month

• Contract: B2B

• Remote‑friendly

We are looking for an experienced Senior Data Engineer (Microsoft Fabric) to join a project for our client, a leading global contract research organization (CRO) that supports pharmaceutical, biotechnology, and medical device companies in the development of new therapies. The company provides comprehensive clinical trial services, from early-phase development to post-approval studies.

We are seeking a self-motivated professional with strong collaboration skills and a passion for applying technical expertise to help address drug development challenges and enhance a world-class clinical trials informatics platform.

In this role, you will work within cross-functional product teams to design, build, and evolve a modern data platform that directly impacts drug development teams, clinical trial investigators, and ultimately, patients.

What We're Looking For:

• 5+ years of experience in Data Engineering
• Strong hands-on experience with ELT, data pipelines, and data integration tools, including Microsoft Fabric and Azure Data Factory (ADF)
• Proven experience designing and deploying scalable data architectures with a strong focus on ETL/ELT processes
• Solid experience designing, developing, and managing enterprise-grade data platforms
• Experience working with large-scale datasets, modern data warehouse technologies such as Snowflake, and data processing solutions in real-time and batch environments
• Experience with cloud technologies, preferably Microsoft Azure, but AWS will be fine too
• Strong knowledge of database technologies, including Oracle, MS SQL Server, and PostgreSQL
• Experience with data governance concepts, including data lineage, data quality, and data security
• Ability to design and manage data storage, data processing, and data quality frameworks
• Ability to work effectively in a fast-paced environment
• Strong communication and collaboration skills with a team-oriented mindset
• Upper-Intermediate or higher level of English proficiency

Your Responsibilities:

• Architect and implement robust ELT processes using Azure Data Factory and Microsoft Fabric
• Design, develop, and maintain scalable data pipelines that ingest, transform, and deliver data from multiple enterprise sources into Microsoft Fabric Lakehouses, Warehouses, and downstream Azure SQL databases
• Build and maintain cloud-based data platforms and analytics solutions using Microsoft Fabric
• Implement and promote modern software engineering principles and best practices in CI/CD and DevOps
• Collaborate closely with data engineers, infrastructure teams, business stakeholders, and application teams to ensure effective data integration and accessibility
• Partner with data analysts and data scientists to enable analytics and support data-driven decision-making
• Enable and support self-service data engineering capabilities across the wider data organization
• Identify opportunities for improving the data platform infrastructure and deliver scalable solutions
• Monitor system performance, troubleshoot issues, and optimize platform reliability and efficiency
• Develop and maintain technical documentation related to the data platform and its infrastructure

Will Be a Plus:
 

• Experience in healthcare, life sciences, MedTech, or clinical trials domains
• Understanding of healthcare data privacy and compliance standards, including HIPAA
• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field

Чи захоплює вас перетворення даних на практичні інсайти? Ми шукаємо Senior BI Engineer, який приєднається до нашої команди Data & Analytics і допоможе формувати звітність, створювати дашборди та розвивати підхід до прийняття рішень на основі даних у різноманітних бізнес- та потенційно державних проєктах.

Це роль рівня Senior із можливістю гібридного або віддаленого формату роботи, що забезпечує гнучкість та можливість співпрацювати з талановитими професіоналами з усього світу. Ідеальний кандидат має значний практичний досвід роботи з BI-інструментами, поглиблені знання SQL, моделювання даних та досвід тісної взаємодії з бізнес-стейкхолдерами. Ця роль вимагає не лише технічної експертизи, але й здатності розуміти потреби бізнесу, трансформувати їх у зрозумілі рішення для звітності та забезпечувати точність і надійність даних.

У Sigma Software ми цінуємо інноваційність, точність і командну роботу та створюємо підтримуюче середовище, де ваші знання та досвід можуть мати реальний вплив.

Чому варто приєднатися до нас? Ви працюватимете над важливими проєктами, отримаєте досвід у різних доменах та матимете доступ до переваг, таких як можливості професійного розвитку, міжнародна командна культура та сучасні технології.

Обов’язки:

— Проєктувати, створювати та підтримувати BI-звіти та дашборди
— Аналізувати бізнес-вимоги та перетворювати їх на звітні рішення
— Працювати зі стейкхолдерами для визначення KPI, метрик та логіки даних
— Писати та оптимізувати SQL-запити
— Перевіряти точність даних та досліджувати невідповідності
— Підтримувати покращення моделювання даних та звітного шару
— Співпрацювати з Data Engineers, Business Analysts, PMs та стейкхолдерами з боку замовника
— Готувати документацію для звітів, метрик та джерел даних
— Вносити вклад у розвиток BI best practices у межах юніту

Вимоги:

— 5+ років досвіду у BI, data analytics або data engineering
— Досвід роботи з Power BI, Tableau, Looker чи подібними інструментами буде плюсом
— Просунуті навички роботи з SQL
— Досвід моделювання даних, роботи зі структурами даних та data warehousing
— Розуміння процесів ETL/ELT та data pipelines
— Досвід очищення, валідації та контролю якості даних
— Вміння працювати з великими наборами даних та складною бізнес-логікою
— Добре розуміння бізнес-звітності, KPI та дизайну дашбордів
— Досвід прямої роботи зі стейкхолдерами для збору вимог та уточнення звітних потреб
— Рівень англійської Upper-Intermediate+

Буде плюсом:

— Досвід роботи з урядовими, державними, медичними, фінансовими або іншими регульованими доменами
— Досвід роботи з Azure, AWS, Snowflake, BigQuery, Databricks або Redshift
— Python або R для аналізу даних
— Досвід роботи з dbt, Airflow, Dagster чи подібними інструментами
— Знання data governance, access control та звітності, пов’язаної з комплаєнсом
— Досвід роботи за Agile

Are you passionate about turning data into actionable insights? We are looking for a Senior BI Engineer to join our Data & Analytics team and help shape reporting, dashboarding, and data-driven decision-making across diverse business and potentially government-related projects.

This is a Senior-level role with hybrid or remote work options, offering flexibility and opportunities to collaborate with talented professionals worldwide. The ideal candidate has strong hands-on experience with BI tools, advanced SQL, data modeling, and close collaboration with business stakeholders. This role requires not only technical expertise but also the ability to understand business needs, translate them into clear reporting solutions, and ensure data accuracy and reliability.

At Sigma Software, we value innovation, precision, and teamwork, and we provide a supportive environment where your expertise can make a real impact.

Why join us? You’ll work on meaningful projects, gain exposure to different domains, and enjoy benefits such as professional growth opportunities, a global team culture, and access to cutting-edge technologies.

Responsibilities:

— Design, build, and maintain BI reports and dashboards
— Analyze business requirements and translate them into reporting solutions
— Work with stakeholders to define KPIs, metrics, and data logic
— Write and optimize SQL queries
— Validate data accuracy and investigate inconsistencies
— Support data modeling and reporting layer improvements
— Collaborate with Data Engineers, Business Analysts, PMs, and customer-side stakeholders
— Prepare documentation for reports, metrics, and data sources
— Contribute to BI best practices within the unit

Requirements:

— 5+ years of experience in BI, data analytics, or data engineering-related roles
— Strong experience with Power BI, Tableau, Looker, or similar tools
— Advanced SQL skills
— Experience with data modeling, data structures, and data warehousing
— Understanding of ETL/ELT processes and data pipelines
— Experience with data cleaning, validation, and data quality control
— Ability to work with large datasets and complex business logic
— Good understanding of business reporting, KPIs, and dashboard design
— Experience working directly with stakeholders to gather requirements and clarify reporting needs
— Upper-Intermediate+ English level

Will be a plus:

— Experience with government, public sector, healthcare, finance, or other regulated domains
— Experience with Azure, AWS, Snowflake, BigQuery, Databricks, or Redshift
— Python or R for data analysis
— Experience with dbt, Airflow, Dagster, or similar tools
— Knowledge of data governance, access control, and compliance-related reporting
— Experience with Agile delivery

Чи захоплює вас перетворення даних на практичні інсайти? Ми шукаємо Senior BI Engineer, який приєднається до нашої команди Data & Analytics і допоможе формувати звітність, створювати дашборди та розвивати підхід до прийняття рішень на основі даних у різноманітних бізнес- та потенційно державних проєктах.

We are looking for a Data Architect who will participate in the formation and development of Data Governance across the entire Bank. The main goal is to design and implement a comprehensive data architecture for the bank that ensures data quality, accessibility, security, and traceability (lineage) to support the Data Governance strategy, which ensures data consistency, business decision support, regulatory compliance, and maximization of data value as a strategic asset

Your future responsibilities:

• Designing target architecture: developing data models and requirements for their description
• Building data flow maps from source systems to reporting to ensure complete transparency of data origin
• Performing data profiling and analysis of the source system
• Formulating clear conclusions to support the end use of data
• Use metadata repositories to perform data and system integration impact analysis
• Participate in defining data exchange principles (ETL/ELT, Kafka, REST API) with a focus on data integrity
• Participate in the implementation of Data Quality Management (DQM): rules, monitoring, control
• Participate in the implementation of Data Governance controls in business processes and systems
• Identify data-related risks, develop and monitor a minimization plan
• Implement KPIs and OKRs for the Data Governance program
• Communicate results to key stakeholders

Your skills and experience:

• 3+ years of experience in banking or finance
• Expertise in data modeling techniques
• Strategic thinking and architectural approach
• Deep understanding of Data Governance Frameworks (DAMA-DMBOK, DCAM)
• Expertise in Data Quality, Master Data, Metadata, Data Security
• Strong analytical and problem-solving skills, as well as the ability to identify and solve complex data management issues
• Deep understanding of regulatory requirements (BCBS 239, GDPR)
• Communication skills: ability to translate complex data concepts into business-friendly language
• Familiarity with agile methodologies in a data environment

We offer what matters most to you:

• Competitive salary: we guarantee a stable income and annual bonuses for your personal contribution. Additionally, we have a referral program with rewards for bringing in new colleagues to Raiffeisen Bank
• Social package: official employment, 28 days of paid leave, additional paternity leave, and financial assistance for parents with newborns
• Comfortable working conditions: possibility of a hybrid work format, offices equipped with shelters and generators, modern equipment. Classification: PUBLIC
• Wellbeing program: all employees have access to medical insurance from the first working day; consultations with a psychologist, nutritionist, or lawyer; discount programs for sports and purchases; family days for children and adults; in-office massages
• Training and development: access to over 130 online training resources; corporate training programs in CX, Data, IT Security, Leadership, Agile. Corporate library • Great team: our colleagues form a community where curiosity, talent, and innovation are welcome. We support each other, learn together, and grow. You can find like-minded individuals in over 15 professional communities, reading clubs, or sports clubs
• Career opportunities: we encourage advancement within the bank across functions
• Innovations and technologies: Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go (infra, security), Swift (IOS), Kotlin (Android). Data stores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink
• Support program for defenders: we maintain jobs and pay average wages to mobilized individuals. For veterans, we have a support program and develop the Bank’s veterans community. We work on increasing awareness among leaders and teams about the return of veterans to civilian life. Raiffeisen Bank has been recognized as one of the best employers for veterans by Forbes

Why Raiffeisen Bank?

• Our main value is people, and we support and recognize them, educate them and involve them in changes. Join Raif’s team because for us YOU matter!
• One of the largest lenders to the economy and agricultural business among private banks
• Recognized as the best employer by EY, Forbes, Randstad, Franklin Covey, and Delo.UA
• The largest humanitarian aid donor among banks (Ukrainian Red Cross, UNITED24, Superhumans, СМІЛИВІ)
• One of the largest IT product teams among the country’s banks. • One of the largest taxpayers in Ukraine; 6.6 billion UAH were paid in taxes in 2023

Opportunities for Everyone:

• Rife is guided by principles that focus on people and their development, with 5,500 employees and more than 2.7 million customers at the center of attention
• We support the principles of diversity, equality and inclusiveness
• We are open to hiring veterans and people with disabilities and are ready to adapt the work environment to your special needs
• We cooperate with students and older people, creating conditions for growth at any career stage

Want to learn more? — Follow us on social media:

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Райффайзен Банк — найбільший український банк з іноземним капіталом. Більше 30 років ми створюємо та вибудовуємо банківську систему нашої держави.

У Райфі працює понад 5 500 співробітників, серед них одна із найбільших продуктових ІТ-команд, що налічує понад 800 фахівців. Щодня пліч-о-пліч ми працюємо, щоб більш ніж 2,7 мільйона наших клієнтів могли отримати якісне обслуговування, користуватися продуктами і сервісами банку, розвивати бізнес, адже ми #Разом_з_Україною. 

Ми шукаємо Дата Архітектора, який візьме участь у формуванні та розвитку Data Governance у масштабах всього Банку. Основна мета — проєктування та впровадження цілісної архітектури даних банку, яка забезпечує якість, доступність, безпеку та простежуваність (lineage) даних для підтримки стратегії Data Governance, яка забезпечує узгодженість даних, підтримку бізнес-рішень, відповідність регуляторним вимогам та максимізацію цінності даних як стратегічного активу.

Твої майбутні обов’язки:

• Проєктування цільової архітектури: розробка моделей даних та вимог до їхнього опису
• Побудова карт потоків даних від систем-джерел до звітності, щоб забезпечити повну прозорість походження даних
• Проводити профілювання даних та аналіз вихідної системи
• Формулювання чітких висновків для підтримки кінцевого використання даних
• Використовувати репозиторії метаданих для виконання аналізу впливу інтеграції даних та систем
• Приймати участь у визначенні принципів обміну даними (ETL/ELT, Kafka, REST API) з фокусом на цілісність даних
• Участь у впровадженні Data Quality Management (DQM): правила, моніторинг, контроль
• Приймати участь у впровадженні контролів Data Governance у бізнес-процеси та системи
• Ідентифікація ризиків, пов’язаних з даними, розробка та контроль плані мінімізації
• Впровадження KPI та OKR для Data Governance програми
• Комунікація результатів ключовим стейкхолдерам

Твій досвід та навички:

• 3+ досвід роботи в банківській або фінансовій галузі
• Експертне володіння методиками моделювання даних
• Стратегічне мислення та архітектурний підхід
• Глибоке розуміння Data Governance Frameworks (DAMA-DMBOK, DCAM)
• Експертиза в Data Quality, Master Data, Metadata, Data Security
• Сильні аналітичні навички та навички вирішення проблем, а також здатність виявляти та вирішувати складні проблеми управління даними
• Глибоке розуміння регуляторних вимог (BCBS 239, GDPR)
• Комунікаційні навички: здатність перекладати складні концепції даних на зрозумілу для бізнесу мову
• Знайомство з гнучкими методологіями в середовищі даних

Пропонуємо те, що має значення саме для тебе: 

• Конкурентна заробітна плата: гарантуємо стабільний дохід та річні бонуси за твій особистий внесок. Додатково, у нас діє реферальна програма винагороди за залучення нових колег до Райффайзен Банку.
• Соціальний пакет: офіційне працевлаштування, 28 днів оплачуваної відпустки, додатковий “декрет” для татусів, та матеріальна допомога для батьків при народженні дітей.
• Комфортні умови праці: можливість гібридного формату роботи, офіси забезпеченні укриттями та генераторами, забезпечення сучасною технікою.
• Wellbeing програма: для всіх співробітників доступні медичне страхування з першого робочого дня; консультації психолога, нутриціолога чи юриста; дисконт програми на спорт та покупки; family days для дітей та дорослих; масаж в офісі.
• Навчання та розвиток: доступ до понад 130 навчальних онлайн-ресурсів; корпоративні навчальні програми з CX, Data, IT Security, Лідерства, Agile. Корпоративна бібліотека та уроки англійської.
• Крута команда: наші колеги — це спільнота, де вітаються допитливість, талант та інновації. Ми підтримуємо один одного, вчимося разом та зростаємо. Ти можеш знайти однодумців у понад 15-ти професійних ком’юніті, читацькому чи спортивному клубах.
• Кар’єрні можливості: ми заохочуємо просування всередині банку між функціями.
• Інновації та технології. Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go(infra,security), Swift (IOS), Kotlin (Andorid). Datastores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink.
• Програма підтримки захисників і захисниць: ми зберігаємо робочі місця та виплачуємо середню заробітну плату мобілізованим. Для ветеранів та ветеранок у нас діє програма підтримки, розвивається ветеранська спільнота Банку. Ми працюємо над підвищенням обізнаності керівників та команд з питань повернення ветеранів до цивільного життя. Райффайзен Банк відзначений як один з найкращих роботодавців для ветеранів (Forbes).

Чому Райффайзен Банк? 

• Наша головна цінність — люди і ми даємо їм підтримку і визнання, навчаємо, залучаємо до змін. Приєднуйся до команди Райфу, адже для нас ТИ маєш значення! 
• Один із найбільших кредиторів економіки та аграрного бізнесу серед приватних банків 
• Визнаний найкращим працедавцем за версіями EY, Forbes, Randstad, Franklin Covey, Delo.UA 
• Найбільший донор гуманітарної допомогисеред банків (Червоний Хрест України, UNITED24, Superhumans, СМІЛИВІ) 
• Один із найбільших платників податків в Україні, за 2023 рік було сплачено 6,6 млрд гривень

Можливості для всіх: 

• Райф керується принципами, що фокусуються на людині та її розвитку, у центрі уваги 5 500 співробітників та понад 2,7 мільйони клієнтів  
• Підтримуємо принципи різноманіття, рівності та інклюзивності
• Ми відкриті до найму ветеранів і людей з інвалідністю та готові адаптувати робоче середовище під ваші особливі потреби
• Співпрацюємо зі студентами та людьми старшого віку, створюючи умови для зростання на будь-якому етапі кар’єри