Jobs Data & Analytics

We are looking for an AI Product Engineer who can turn business problems into working digital solutions using modern AI tools, LLMs, automation platforms, and AI-assisted development workflows.

This is not a traditional Backend, Frontend, or Machine Learning Engineer position.

The role is designed for a technical AI generalist who can quickly understand a business need, validate an idea, build a functional prototype or MVP, and collaborate with specialized engineers and designers to bring the solution to production quality.

What you will do

• Analyze business processes and identify opportunities for AI automation and optimization.
• Turn business requirements into functional prototypes, MVPs, and internal tools.
• Build AI-powered web applications, dashboards, workflows, integrations, and product features.
• Use AI-assisted development tools such as Claude Code, Cursor, Codex, OpenAI, Anthropic, and similar platforms.
• Design and implement solutions using LLM APIs, AI agents, automation tools, and third-party services.
• Build end-to-end proof-of-concept solutions across different technologies when needed.
• Evaluate whether a task should be solved with custom development, AI agents, automation platforms, or a combination of approaches.
• Optimize prompts, context usage, token consumption, model selection, and AI-related costs.
• Test hypotheses quickly and validate whether a solution creates real business value.
• Prepare prototypes for further review and refinement by specialized developers, designers, or other domain experts.
• Document solution logic, limitations, risks, and recommendations for further development.

• Collaborate closely with product managers, engineers, designers, and company leadership.

   

What this role is about

The main goal of this position is not to develop one narrow technical area in depth.

The goal is to use AI as a force multiplier to:

• reduce development time;
• automate repetitive work;
• lower operational costs;
• validate product ideas faster;
• create tools that improve business performance;
• build functional solutions before involving a full specialized team.

You should be comfortable moving between different types of tasks and technologies. One project may involve an internal HR automation tool, another may be a sales workflow, an AI assistant, a web platform, or a mobile application prototype.

You are not expected to replace senior specialists in every area. You are expected to build a strong functional foundation that can later be reviewed, improved, and productionized by domain experts.

Requirements

• Strong technical foundation in software development, computer science, or a related field.
• Commercial software development experience with Python, JavaScript, TypeScript, or similar technologies.
• Practical experience building complete applications, prototypes, integrations, or automation solutions.
• Confident use of AI coding tools in real development workflows.
• Hands-on experience with OpenAI, Anthropic, Gemini, or other LLM APIs.
• Understanding of prompt engineering, context management, token usage, and model limitations.
• Experience designing AI agent or multi-step automation workflows.
• Ability to translate an unclear business problem into a structured technical solution.
• Ability to work across unfamiliar technologies and quickly learn new tools.
• Understanding of APIs, databases, authentication, integrations, and basic system architecture.
• Strong problem-solving skills and a product-oriented mindset.
• Ability to balance development speed with code quality, security, and maintainability.

• English level sufficient for working with technical documentation and participating in project communication.

   

Nice to have

• Experience with RAG systems, embeddings, vector databases, and document processing.
• Experience building AI agents and multi-agent systems.
• Experience with n8n, Make, Zapier, or other workflow automation tools.
• Startup, product discovery, hackathon, or MVP development experience.
• Experience working directly with business stakeholders or clients.
• Understanding of AI solution economics, including token costs, infrastructure costs, and expected business value.

The most important criterion is not the number of AI tools listed in your CV. We are looking for someone who can demonstrate how AI helped them deliver useful, functional solutions significantly faster and create measurable value for a business

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

This is a hyper-scale fintech platform trusted by over 40 million users worldwide, offering access to multi-asset trading – including stocks, indices, currencies, and digital assets.

The product operates as a regulated, data-intensive financial ecosystem, processing massive volumes of transactions and real-time customer interactions daily. It’s well-funded, profitable, and known for pushing innovation in AI, automation, and data governance across its operations. Advertising presence is strong (especially in the UK), but behind the scenes is a serious engineering culture solving hard, real-world problems at scale.

About the Role:

We are looking for an Applied AI Engineer (Squad Lead) to join a fast-paced, AI-first environment where AI is already a core part of how the company operates. This is not a role where you’ll be adding an AI feature to an existing product or experimenting with isolated prototypes. You’ll take real business challenges, work directly with stakeholders to understand what needs to change, and turn those problems into production-grade AI agents and applications — end to end, from idea and POC to deployment and continuous improvement.

This is a deeply hands-on role with significant autonomy and ownership. You’ll work with modern GenAI and agentic technologies, use AI-native development workflows daily, and see the impact of your solutions quickly. As the squad grows, you’ll also guide other engineers while remaining hands-on.

Key Responsibilities:

• Design, build, and deploy AI-powered agents and applications from concept through production.
• Develop and maintain AI pipelines for data ingestion, embeddings, retrieval, and LLM orchestration.
• Write high-quality backend and frontend code to embed AI into user-facing tools and internal platforms.
• Build APIs and integrations with internal systems (CRM, databases, third-party services) for seamless automation and data flow.
• Work with structured, unstructured, and vectorized data to support intelligent workflows and decision-making.
• Continuously monitor, evaluate, and iterate to improve system performance, reliability, and cost efficiency.
• Design and implement scalable, secure, observable, cloud-based solutions.
• Own production systems, including debugging, enhancements, and ongoing optimization.
• Collaborate closely with product and business stakeholders to translate requirements into high-impact solutions.

Required Competence and Skills:

• 6+ years of software engineering experience (backend or full-stack).
• Proven daily use of AI-native development workflows (e.g., Cursor, Claude Code) for production systems.
• Hands-on experience building production AI agents, including RAG, multi-agent orchestration, tool-calling, structured outputs/validation, memory, and workflow management.
• Track record of deploying LLM-powered systems in production.
• Strong backend and modern frontend development skills for complex workflows.
• Experience with cloud services (Azure, AWS, or GCP) and designing scalable architectures.
• Familiarity with vector databases and embedding pipelines.
• Deep understanding of system design, scalability, observability, and security best practices.
• Experience leading small development teams or owning a technical domain.
• Excellent communication, stakeholder management, and problem-solving skills.
• Fluent written and verbal English.

Nice to Have:

• Experience with GenAI frameworks such as LangChain, LangGraph, LangSmith, Semantic Kernel, or equivalent.
• Experience building AI systems in regulated or compliance-driven environments.
• Background working with internal teams and platforms (e.g., customer service, retention, operations, compliance).
• Strong understanding of business process automation and operational intelligence.
• Familiarity with event-driven architectures and distributed systems.
• Experience implementing AI evaluation frameworks and automated testing for LLM systems.

Why Us:

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

🚀 AI Automations Engineer / Architect (Make.com, n8n)

Ми шукаємо AI Automations Engineer / Architect, який буде проєктувати та створювати автоматизації, внутрішні інструменти й системи для підвищення швидкості, ефективності та масштабованості бізнес-процесів.

Це не просто робота з готовими сценаріями в Make.com або n8n. Нам потрібна людина, яка вміє аналізувати процеси, знаходити bottlenecks, продумувати архітектуру рішення та визначати, коли достатньо automation platform, а коли потрібен custom code або окремий application.

Що потрібно буде робити

• Створювати automation workflows з нуля у Make.com, n8n та за допомогою custom code
• Інтегрувати HubSpot, Slack, Gmail, Google Sheets, forms, scheduling tools, databases та інші платформи
• Будувати складні workflows з filters, routers, conditions, error handling та fallback paths
• Створювати AI-powered workflows з використанням OpenAI для summarization, classification, drafting, enrichment та internal support tasks
• Перетворювати manual SOPs та operational processes у масштабовані автоматизовані системи
• Створювати та підтримувати internal tools і web applications, коли Make.com або n8n недостатньо
• Працювати з існуючими Next.js applications, покращувати, дебажити та розширювати їх
• Підключати applications до сторонніх сервісів через REST APIs та webhooks
• Тестувати, troubleshoot та оптимізувати workflows і applications
• Документувати створені системи для подальшої підтримки командою
• Співпрацювати з leadership та department heads, збирати requirements та покращувати внутрішні процеси
• Постійно знаходити нові можливості для automation та software solutions

Що для нас важливо

• 3+ роки досвіду роботи з Make.com, n8n або аналогічними automation platforms
• 3+ роки досвіду з Next.js, React, TypeScript/JavaScript та Node.js
• Досвід створення або підтримки full-stack applications, dashboards, internal tools та automation interfaces
• Впевнена робота з REST APIs, webhooks, JSON, authentication та third-party integrations
• Досвід з PostgreSQL, Supabase, Firebase або аналогічними databases/backend services
• Знання Git/GitHub, Vercel, environment variables, deployment та debugging
• Досвід роботи з існуючими codebases, bug fixing та refactoring
• Комфортна робота з AI-assisted та vibe-coded applications
• Вміння перетворювати prototypes та AI-generated code у стабільні internal tools

Архітектурне мислення

Важливо вміти самостійно:

• аналізувати бізнес-процеси та знаходити bottlenecks
• визначати, що саме потрібно автоматизувати
• обирати між Make.com / n8n та custom coded solution
• проєктувати workflow architecture з нуля
• передбачати edge cases, errors та fallback scenarios
• будувати надійні системи, які можна підтримувати та масштабувати

Нам потрібна людина, яка мислить як architect, а не просто редагує готові templates.

Soft Skills

• Startup mindset
• Самостійність та ініціативність
• Solutions-oriented підхід
• Coachability та відкритість до feedback
• Вміння швидко адаптуватися
• Вміння працювати без детальних інструкцій
• Комфортна комунікація з leadership та керівниками різних напрямів

Графік

Необхідна можливість працювати з перетином U.S. business hours, бажано Pacific Time.

Кого ми шукаємо

Спеціаліста, який поєднує:

Automation Engineering + AI + Full-Stack Development + System Architecture

і може пройти весь шлях від аналізу процесу та пошуку bottlenecks до реалізації, тестування, deployment, оптимізації та документації готової системи.

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

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

Key Responsibilities:

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

Requirements:

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

🚀 Senior Data Engineer (EU)

About the Role:

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

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

🔹 Responsibilities:

As a Senior Data Engineer, you will:

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

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

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

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

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

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

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

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

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

* Contribute to continuous improvement initiatives and engineering best practices

🔹 Requirements:

* Strong commercial experience as a Data Engineer

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

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

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

* Experience designing and maintaining scalable cloud-based data solutions

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

* Experience with software development lifecycle methodologies and Agile environments

Nice to Have:

* Experience with IBM Cloud data services

* Knowledge of data governance and cloud security practices

* Experience working in enterprise-scale data environments

🌍 What We Offer:

-Paid vacation and sick leave

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

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

-Regular salary reviews based on your performance

-Competitive salary, depending on your experience

-Always on-time payments — no delays

-A normal, supportive team without unnecessary bureaucracy

We respond to every candidate.

Your application will not be ignored.

Please write why you would like to work together.

If you see this vacancy in several weeks/month - write anyway; we often hire people of different levels.
 

The main information (if you don’t like reading long descriptions)

• Full-time
• Remote-first team working primarily within UK business hours
• Experience: 3+ years
• English: В2+
• Start date: as soon as possible
• Long-term cooperation: we want you to work with us for as long as you can :)

About Us

This position is a direct opportunity with a leading UK company.

The Company builds B2B legal technology that helps law firms deliver faster, higher-quality work. The Company’s platform streamlines legal workflows involved in a niche area of law so lawyers can accelerate drafting, negotiation, and compliance at scale.

Tech highlights - we operate a single-tenant SaaS architecture hosted on AWS across multiple regions, built with a modern stack: Python/Django 6, React 18/TypeScript, PostgreSQL, Redis, Elasticsearch/ OpenSearch, S3, ECS, and Lambda.

Our teams work in Agile Scrum squads, supported by strong CI/CD, IaC (Terraform/Terragrunt), and security-first practices (SOPS, KMS). It’s only a web application, no mobile.

About Team

At the moment, our team consists of Developers, Manual QAs, Automation QAs, Project Managers, UI/UX Designers, DevOps Engineers, etc.

We value:

• Speaking up (good ideas are welcome)
• Growth (we’ll help you get there)
• Learning & innovation (we like experiments that don’t break Prod)

About You 

We are seeking a Middle NLP Specialist to design, build, and optimize the text-processing, document intelligence, and language-driven services that power ProVision. You’ll work closely with back-end engineers, front-end engineers, QA, and DevOps to deliver reliable, scalable, and secure NLP-enabled systems serving global enterprise clients.

The ideal candidate will bring strong experience in Python, NLP libraries, document parsing, information extraction, search/retrieval, and textual data transformation, with a focus on performance, maintainability, and production-grade architecture. Experience integrating LLM-powered workflows into enterprise applications is highly desirable.

Essential Requirements

• Proven experience as an NLP Engineer, Applied AI Engineer, Machine Learning Engineer (NLP focus), or Back-End Engineer with significant NLP experience in a SaaS or production environment.
• Strong proficiency in Python 3.10+.
• Strong experience with NLP libraries and frameworks for text processing, tokenization, entity extraction, classification, embeddings, or semantic search.
• Experience working with document-heavy or unstructured text data.
• Familiarity with asynchronous processing and AWS ecosystem (ECS, Lambda, S3, RDS, SQS/SNS).
• Competence in Git, CI/CD, and Agile/Scrum development.
• Strong problem-solving and debugging skills with an emphasis on performance, reliability, and output quality.
• Experience evaluating and improving the quality of text extraction, classification, or retrieval pipelines.

Preferred Requirements

• Experience with PostgreSQL, Redis, and/or Elasticsearch/OpenSearch
• Experience with .NET
• Experience with LLM application development, including prompting, RAG workflows, embeddings, and model orchestration.
• Familiarity with spaCy, NLTK, Hugging Face, sentence-transformers, LangChain, LlamaIndex, or equivalent tooling.
• Experience with PDF, Word, and OCR/text extraction pipelines, including libraries such as pdfplumber, PyPDF2, python-docx, docxtpl, or equivalent.
• Experience working with legal, financial, or other highly structured professional documents.

Personal Attributes

• Pragmatic engineer with a focus on reliability, experimentation, and clean architecture.
• Analytical and detail-oriented problem-solver with strong judgment on trade-offs between model quality, latency, and maintainability.
• Collaborative and communicative in cross-functional Agile teams.
• Proactive in improving data pipelines, extraction quality, and developer experience.

Our benefits and culture

• Competitive compensation
• A strong engineering team and a challenging LegalTech product, working on complex technical problems.
• Opportunity to lead NLP and document intelligence capabilities for a global legal-tech platform.
• Exposure to complex, enterprise-grade workflows, legal-document automation challenges, and cutting-edge AI/NLP applications.
• An environment where you'll continuously learn, grow, and take meaningful ownership of your work
• No micromanagement
• No bureaucracy (well, almost 🙂)
• No useless tasks
• Work-life balance
• Respect & trust
• Supportive team environment

The Hiring Process

• HR interview 
• 2 technical interviews 

Thank you for considering a career with Intelligent Legal Solutions. We appreciate your interest and look forward to learning more about you

About OWOX

For 20+ years we've built data products for people who need an answer, not another dashboard. OWOX Data Marts is the only zero-hallucination analytics platform — your team defines what's trustworthy, and everyone else, up to the CEO, just asks their business a question and trusts the answer.

Our mission is simple: make every number in the company trustworthy — and one question away. We help teams make better decisions with data they can trust — not data they have to reconcile, re-export, or ask someone else to pull.

✓ Control for the data team — analysts define trusted logic once (metrics, joins, governance) and publish it as a reusable Data Mart library.

✓ Freedom for everyone else, up to the CEO — self-serve in the tools you already use: Google Sheets, Looker Studio, and now your own AI chat via MCP.

✓ Trust in every number — the same analyst-approved logic across every report, dashboard, and AI answer. AI narrates; governed SQL computes. Zero hallucinations.

We're open-source, analyst-controlled, and already trusted by 170K+ users across 370K+ Data Marts delivered.

About the Role

At OWOX, we help companies turn fragmented business data into trusted models they can use for reporting, decision-making, and AI-powered analysis.

We’re looking for a Data Analyst to work on client projects across e-commerce, finance, SaaS, and other businesses that generate revenue online. You’ll learn how each business works, translate its questions into data logic, and build models that produce reliable answers.

Your focus will be data modeling, SQL, reporting, and complex analytical challenges. Projects may include marketing attribution, funnel and cohort analysis, customer and product analytics, revenue, profitability, and unit economics.

This is a client-facing role for someone who is curious, precise, and comfortable taking ownership. You should be able to ask the right questions, challenge unclear requirements, and explain technical decisions in business language.

What You’ll Do

• Work with clients to translate business goals and questions into clear analytical requirements.
• Design and maintain scalable data models for marketing, sales, product, finance, and customer analytics.
• Write, review, and optimize complex SQL transformations in cloud data warehouses.
• Combine data from multiple business systems and define reliable model rules: joins, identity definitions, deduplication, and metric calculation.
• Build reusable datasets and data marts for dashboards, spreadsheets, recurring reports, and AI assistants.
• Create and maintain reporting in Looker Studio, Power BI, Tableau, or similar BI tools.
• Solve complex analytical problems, including multi-touch marketing attribution, funnel analysis, cohorts, LTV, unit economics, and profitability.
• Validate data quality, investigate discrepancies, and make sure metrics remain consistent across reporting layers.
• Document business logic, assumptions, data definitions, and model structure.
• Present findings and recommendations clearly to client stakeholders and collaborate with project managers, engineers, and other analysts.

What You’ll Bring

Must-Have Skills

• Strong SQL skills and hands-on experience building analytical data models.
• Experience with a cloud data warehouse, like BigQuery.
• Hands-on experience with dbt, Dataform, or a similar data transformation framework.
• Solid understanding of dimensional modeling, fact and dimension tables, joins, and aggregations.
• Experience preparing data for BI and reporting tools such as Looker Studio, Power BI, Tableau, or similar platforms.
• Experience in marketing analytics, including practical work with marketing attribution models.
• Ability to turn ambiguous business questions into robust data logic and clear deliverables.
• Strong analytical thinking and attention to data quality.
• Clear written and spoken English for direct communication with clients.
• Proactive ownership — you don’t just execute tasks; you think through the business outcome.

Nice-to-Have

• Experience with marketing attribution, cohort analysis, LTV, unit economics, or profitability models.
• Domain experience in e-commerce, finance, SaaS, or another online business.
• Familiarity with GA4, advertising platforms, CRM systems, and payment or order data.
• Experience in a client-facing analytics, consulting, or agency role.

What We Offer

• Opportunities for professional growth and continuous learning.
• Сompetitive compensation package commensurate with experience.
• A smart and friendly team, where ownership, and collaboration are genuinely valued.
• Flexible working hours and a remote-friendly culture.

Send your CV and become part of the OWOX team!

Main requirements

Snowflake Experience

The person should be proactive, well-organized, and an effective communicator, able to independently drive tasks forward, keep processes under control, and communicate clearly with the team and stakeholders.

Requirements

Senior Data Enginer

Snowflake — core development

• Writing and maintaining production views, secured views and stored logic in Snowflake
• Understanding of role-based access control: users, roles, GRANTs, warehouse and database entitlement models
• Enough query-tuning instinct to build views over large fact tables without wrecking performance — partition pruning, clustering awareness, avoiding SELECT *

Microsoft SQL Server

• T-SQL development
• Migrating legacy tables, views and stored procedures to Snowflake

Previous ETL Tooling Experience

Bonus Points

BI and semantic layer

• Sigma Computing — connection setup, workbooks, embedding, AI/Cortex configuration. We are rolling Sigma out now and retiring Tableau Desktop.
• Tableau — data source management, extract vs live strategy, extract scheduling and dependency mapping

Documentation and code review

• Producing data-flow and architecture diagrams
• Reviewing SQL/pipeline code to a standard — we have a code review backlog in other areas because there aren’t enough qualified SQL reviewers. A contractor who can act as a second reviewer is disproportionately valuable.

Azure DevOps (aka ADF Pipelines sync’d with Github)

• CI/CD pipelines for database and ADF artefacts, service principal / client secret configuration, release troubleshooting

External API ingestion

• Consuming and loading third-party APIs into the warehouse (e.g. FX/exchange rate feeds), including auth and error handling
• Snowflake Git integration — connecting a Git repository to Snowflake, versioning database objects and deploying from a branch, plus general source-control discipline for SQL and pipeline code
• Snowflake Streamlit — building lightweight in-warehouse data apps as an alternative to a full BI workbook where the audience is small or the use case is operational
• Python for data engineering and Snowpark
• Snowflake Cortex / LLM-in-warehouse features
• dbt or equivalent transformation tooling (not in use today, but relevant if we modernise)

Working attributes we need

• Comfortable being the second pair of hands on a one-person team — takes a ticket end-to-end without daily direction
• Documents as they go; we are explicitly trying to reduce single-person key-man risk
• Cost-aware: several of our decisions are spend-driven, not purely technical

English - Andvanced

We are looking for a Senior DevOps Engineer to build and evolve the infrastructure behind Kyivstar's Big Data products. You will own the full lifecycle of our cloud and on-premises environments - from architecture and provisioning to CI/CD, observability and incident response 

Requirements

- 3+ years of experience as a DevOps Engineer.

- Practical experience with cloud providers (AWS preferred).

- Experience building CI/CD pipelines (preferably GitLab).

- Strong hands-on experience with Docker and Kubernetes.

- Practical experience with Infrastructure as Code (IaC) (preferably Terraform).

- Solid understanding of Unix/Linux operating systems and networking fundamentals.

- Strong hands-on experience with scripting languages (Bash and/or Python).

- Experience with relational and non-relational databases (e.g., PostgreSQL or similar).

- Experience with monitoring and alerting tools (e.g., Prometheus, Grafana).

- Proven experience working with remote/distributed teams.

- Experience with AI agents or AI-driven tooling is a plus.

Responsibilities

- Implement solutions for Big Data and AI products.

- Design and implement CI/CD pipelines tailored for Big Data solutions.

- Manage and maintain AWS and on-premises infrastructure.

- Monitor, troubleshoot, and continuously improve system observability.

- Automate software deployment, monitoring, and routine operational tasks.

- Support staging/production environments, manage release cycles, and assist customers.

We offer

•            A unique opportunity to shape the future of Big Data products at Ukraine's leading telecom operator

•            Work on high-impact initiatives that create value across multiple business functions

•            Collaboration with experienced business, data and technology professionals

•            Remote work with the possibility to visit the office

•            Competitive salary and annual bonus

•            Paid vacation and sick leave

•            Flexible working hours

•            Medical and life insurance

•            Professional development and career growth opportunities

•            A friendly, collaborative and innovation-driven working environment

ABOUT US

ODDITY is a consumer-tech company which builds and scales digital-first brands to disrupt offline-dominated categories.

With HQ in New York City and an R&D center in Tel Aviv, we built one of the industry’s most advanced technology platforms, which leverages data science, machine learning and computer vision capabilities to deliver an unparalleled online experience for consumers. We are using cutting-edge data science to identify consumer needs and develop solutions in the form of tech and wellness products.

In less than 5 years since launch, we have built two of the fastest-growing online beauty brands in the US-IL MAKIAGE and SpoiledChild. Our first brand IL MAKIAGE has since grown to unprecedented scale online, reaching over $300 million in revenue and 40 million users in only 4 years. ODDITY New Ventures built and launched our second brand SpoiledChild in early 2022, and it is already scaling even faster than IL MAKIAGE. As of 2023, ODDITY is officially a publicly traded company valued at >$2B and we were named a TIME100 Most Influential Company.

Our continued success is a result of our winning mindset combined with unparalleled physical & tech products. We have made significant investments in data science, AI, computer vision, and biotechnology to identify consumer needs and develop solutions designed for consumers. Our proprietary computer vision technology allows smartphone cameras to capture hyperspectral wavelengths of light beyond the capability of the human eye. In 2023, ODDITY acquired Revela - a biotech start-up that uses AI-based molecule discovery to bring next-generation, proprietary ingredients to the beauty & wellness market.

ABOUT THE ROLE

We are seeking bright and curious data-minded individuals to join our Data team. Data is a core to our growing business and our Data team is the engine that powers our data-driven culture. As a Data Engineer, you will play a vital role in designing & building solutions for our most challenging business problems.

KEY RESPONSIBILITIES

• Help design and implement data collection strategy to ensure we know as much as possible about user experience and needs
• Design, build, and maintain ETL and ELT pipelines
• Develop and optimize data processing pipelines using AWS Glue
• Build robust data transformations using Python and SQL
• Support BI use cases and verify data availability for reporting in Looker
• Work hand-in-hand with engineers and product leaders to implement your solutions quickly and effectively
• Constantly measure, analyze, and produce insights and visibility on performance to keep improving user satisfaction with our products and store
• Work with growth, marketing, product, support, and management to better understand where data can be useful and ‘move the needle’
• Support upper management in tasks that will bolster user satisfaction, product recommendations, or strategy.

REQUIRED SKILLS & EXPERIENCE

• B.S.c in a highly quantitative field such as Computer Science/Mathematics / Physics/Industrial Engineering or equivalent academic knowledge
• 1+ years of programming experience
• High proficiency in Python and SQL
• Strong outstanding analytical & technical skills
• Able to quickly learn new tools and data analysis methods
• A self-learner, not afraid to explore new areas of research
• A team player and a can-do attitude, delivery oriented
• Excellent spoken and written English.

NICE TO HAVE (BIG ADVANTAGE)

• Experience working directly with marketing / product analytics teams
• Experience with AWS data services, especially AWS Glue, AWS MWAA (Airflow) or Amazon Redshift
• Familiarity with BI tools, preferably Looker
• Experience working in agile environments using Jira

Important: after confirming your application on this platform, you’ll receive an email with the next step: completing your application on our internal site, LaunchPod. So keep an eye on your inbox and don’t miss this step — without it, the process can’t move forward.

Why join us

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :)

About the role

We are looking for a Senior Application Security Engineer to architect and build automated security layers within the SDLC, engineering AI-enabled secure code scanning, hardened baseline automation, and CI/CD security tooling integration within a large-scale financial services program. You will work primarily in Python to build automated security runbooks, deploy and tune scanning tools, and provide code-level remediation guidance to development teams — operating with full autonomy and no daily supervision. AppSec and DevSecOps experience is strongly preferred; SAST/DAST/SCA and Java expertise are a plus.

What you will do

• Engineer and deploy AI-enabled secure code scanning capabilities and "Golden Images" to drive secure-from-the-start adoption;
• Automate the development of secure coding patterns and integrate them with traditional and Agentic SDLC workflows;
• Architect the integration of continuous security scanning tools (SAST, DAST, SCA) into enterprise CI/CD pipelines, tuning them to eliminate noise;
• Act as a senior technical SME, reading and reviewing complex application code (Java/Python) to provide software engineers with highly specific, code-level remediation guidance.

Must haves

• 5+ years of software engineering experience, ideally with a focus on Application Security and DevSecOps;
• Strong coding and architectural proficiency in Python for security automation and scripting;
• Fully autonomous execution capability, requiring no daily supervision to map out and build automated security runbooks;
• Upper-intermediate English level.

Nice to haves

• Deep, hands-on expertise deploying and tuning modern application security testing tools, including SAST, DAST, and SCA, and integrating them into complex CI/CD orchestration ecosystems;
• Experience integrating LLMs, AI agents, or automated coding assistants to streamline vulnerability triaging or secure code generation;
• Advanced application threat modeling experience;
• Ability to confidently read, review, and secure enterprise source Java code.

The benefits of joining us

• Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps

• Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities

• A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands

• Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Meet Our Recruitment Process

Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback:

• Short online form to confirm basic requirements
• 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process.
• 5-minute introduction video

Synchronous stage – Live interviews

• Technical interview with our engineering team (scheduled at your convenience)
• Final interview with your future teammates

If it’s a match — you’ll get an offer!

🎯 About the Role

We are looking for an experienced Data Analyst to help clients transform complex data into clear insights and actionable business recommendations.

You will work with modern cloud data platforms, primarily Snowflake, analyze large datasets, build dashboards, and collaborate with technical and business stakeholders.

🔑 Responsibilities

- Analyze large datasets using SQL and identify meaningful trends, patterns, and business opportunities.

- Translate business questions into analytical requirements, reports, and measurable metrics.

- Write and optimize complex SQL queries in Snowflake.

- Perform data exploration, profiling, validation, and transformation.

- Build and maintain dashboards and reports using Power BI or Tableau.

- Define and monitor KPIs together with business and product stakeholders.

- Identify data quality issues and collaborate with engineering teams to resolve them.

- Support data modeling and preparation of analytics-ready datasets.

- Clearly communicate findings and recommendations to technical and non-technical stakeholders.

🧩 Requirements

- 5+ years of commercial experience as a Data Analyst, BI Analyst, Product Analyst, or in a similar role.

- Strong SQL skills, including complex queries, joins, window functions, aggregations, and query optimization.

- Practical experience working with Snowflake.

- Experience building dashboards and reports using Power BI or Tableau.

- Strong understanding of data modeling, data warehousing, and analytics-ready datasets.

- Experience working with large and complex datasets.

- Ability to translate business requirements into analytical solutions.

- Strong understanding of data quality, validation, and reconciliation.

- Strong analytical and problem-solving skills.

- Ability to clearly present insights and recommendations to business stakeholders.

- English level: Upper-Intermediate or higher

🧩 Nice to Have

- Experience with ETL or ELT processes and data transformation pipelines.

- Experience with AWS services such as S3, Glue, Athena, or Redshift.

- Experience with dbt or similar data transformation tools.

- Experience with Python for data analysis and automation.

- Experience with dimensional modeling and star schema.

- Familiarity with Git and CI/CD workflows.

- Experience working directly with external clients.

🧩You'll have an opportunity to:

Work with modern cloud data platforms and analytics technologies.

Analyze complex business data and influence data-driven decisions.

Collaborate with international engineering and product teams.

Build dashboards and reporting solutions used by business stakeholders.

Grow your expertise in cloud analytics, BI, and modern data platforms.

🚀 We are looking for a Middle+/Senior Data Engineer to join a long-term data platform project.

 

The role is focused on designing, building, and maintaining reliable data pipelines and cloud-based data platforms for high-load business environments. The ideal candidate has strong hands-on experience with Python, SQL, ETL/ELT processes, and AWS data services.

🎯 Responsibilities

 

- Design, build, and maintain scalable batch and near-real-time data pipelines.

- Develop ETL/ELT workflows using Python, SQL, and modern data engineering tools.

- Integrate data from APIs, databases, files, SaaS platforms, and event-based sources.

- Build and support data lakes, data warehouses, and analytics-ready datasets.

- Improve pipeline performance, reliability, scalability, and cost efficiency.

- Implement data quality checks, monitoring, logging, validation, and alerting.

- Troubleshoot production data issues and identify root causes.

- Collaborate with data analysts, BI engineers, data scientists, software engineers, and business stakeholders.

- Maintain technical documentation, data models, and pipeline specifications.

- Contribute to CI/CD, infrastructure automation, and cloud platform improvements.

 

🧩 Requirements

 

- 3+ years of commercial experience in Data Engineering or a closely related role.

- Strong hands-on experience with Python.

- Strong SQL skills, including complex transformations and query optimisation.

- Practical experience building and maintaining production-grade ETL/ELT pipelines.- Experience working with AWS data services, particularly S3 and at least one of the following:

  - AWS Glue;

  - Athena;

  - EMR;

  - Redshift;

  - Lambda.

- Experience with at least one orchestration or transformation tool such as Airflow, dbt, Prefect, Dagster, or similar.

- Experience working with at least one cloud data warehouse or data platform such as Snowflake, Databricks, BigQuery, or Redshift.

- Strong understanding of data warehousing, data lakes, data modelling, partitioning, and file formats.

- Experience implementing data quality checks, monitoring, and error handling.

- Experience with Git and CI/CD workflows.

- Ability to independently investigate issues, make technical decisions, and take ownership of delivery.

- English level: Upper-Intermediate or higher.

 

🧩 Nice to Have

 

- Experience with Spark or PySpark.

- Experience with Kafka, Kinesis, Pub/Sub, or other streaming technologies.

- Experience with Delta Lake, Apache Iceberg, or Apache Hudi.

- Experience with Terraform, AWS CDK, or another Infrastructure as Code tool.

- Experience with Docker or Kubernetes.

- Experience with high-load or analytics-heavy products.

- Experience with GCP or Azure data services.

- Experience supporting AI/ML or LLM-related data pipelines.

🧩You'll have an opportunity to:

Build scalable data platforms using modern cloud technologies.

Work with large datasets and production-grade data pipelines.

Collaborate with experienced international engineering teams.Solve complex data engineering challenges across different industries.

Continuously develop your technical expertise with modern data tools and cloud services.

Take ownership of features and contribute to high-quality engineering practices.

We are looking for a hands-on Senior Computer Vision Engineer to join a long-term product engineering team. The client builds hardware and software platforms for real-world outdoor mapping, inventory, and environmental analysis. This is not a standard image classification task on clean laboratory datasets. Our models process visual and sensor data captured on the go in dynamic, unpredictable outdoor environments (varying lighting, motion blur, complex natural backgrounds, changing distances). Your main focus won't be just reading R&D papers, but diagnosing where existing models fail, running experiments, and turning those experiments into robust production improvements.

Key Responsibilities:

• Analyze, improve, and optimize production CV models for object detection, segmentation, and depth analysis.
• Diagnose model errors.
• Build evaluation and experimentation pipelines for real-world, noisy data.
• Work with data captured from moving camera systems / wearables.
• Optimize inference pipelines for production integration.
   

Requirements:

• 3+ years of commercial experience in Computer Vision & ML (Python, PyTorch).
• Proven experience taking CV models into production.
• Strong expertise in Object Detection, Instance/Semantic Segmentation, or Depth Estimation.
• Solid understanding of training pipelines, dataset quality, data augmentation, and inference optimization.

• Ability to work independently on applied ML problems.

  
   

Nice to Have:

• 3D & Spatial CV: Monocular/stereo depth estimation, RGB-D, Point Clouds, Camera Geometry.

• Sensor & Navigation: SLAM, Visual-Inertial Odometry (VIO), Sensor Fusion, LiDAR.

   

• We offer:
• Flexible working schedule
• Fully remote work
• Compensation for medical, educational and sports activities
• Professional growth opportunities
• Internal knowledge-sharing talks
• Awesome team events and activities
• Paid vacation and sick leave
   

Description

We are seeking a highly skilled Сonsultant Data Engineer to be the driving force behind this massive architectural shift. You will be hands-on in moving a highly complex, highly regulated data ecosystem from an on-premise Teradata environment to a cutting-edge AWS “Lakehouse” architecture.
In this role, you will focus on building robust data pipelines, modernizing legacy code, and ensuring flawless data delivery. You will work closely with System Analysts, Automation Engineers, and Data Architects to convert hundreds of legacy scripts into modern dbt models, orchestrate them via Astronomer (Airflow), and establish governed warehousing in Databricks.

Requirements

• Cloud Platforms: Hands-on engineering experience within the AWS ecosystem (S3, IAM, Glue) and deep expertise in Databricks (SparkSQL, PySpark, governed cataloging).
• Modern Data Stack: Strong proficiency in dbt (Core or Cloud) for data transformation and understanding of modern table formats, specifically Apache Iceberg.
• Orchestration: Experience building and maintaining data pipelines using Apache Airflow (Astronomer experience is a strong plus).
• Languages: Expert-level SQL (ability to read Teradata SQL/BTEQ and write highly optimized Spark/Databricks SQL) and strong Python skills for pipeline development and Airflow DAGs.
• Legacy Systems: Familiarity with Teradata architecture and utilities (FastExport, BTEQ) to effectively understand the source systems being decommissioned.

Experience & Qualifications

• Experience: 7+ years of dedicated Data Engineering experience, with a proven track record in complex data migration projects (On-Premise to Cloud).
• Financial Services Background: Experience working in a highly regulated banking or financial services environment is strongly preferred, particularly within Risk or Finance domains.
• Engineering Best Practices: Strong grasp of CI/CD for data pipelines, Git version control, data modeling (Kimball/Inmon), and infrastructure as code (Terraform).
• Communication: Ability to work collaboratively in a fast-paced, cross-functional agile team, effectively communicating technical blockers to technical leads and project managers.

Job responsibilities

• Lakehouse Engineering: Build and maintain scalable data pipelines to migrate Consumer Risk datasets from Teradata to Amazon S3, utilizing Apache Iceberg for the lakehouse layer and Databricks for governed warehousing.
• Code Modernization (BTEQ to dbt): Perform complex code conversions, transforming up to 500 legacy Teradata BTEQ scripts into modular, version-controlled, and highly performant dbt (data build tool) models.
• Pipeline Orchestration: Design, develop, and monitor complex Directed Acyclic Graphs (DAGs) using Astronomer (Apache Airflow) to orchestrate end-to-end data workflows.
• Data Lineage & Transparency: Integrate pipelines with OpenLineage to ensure complete, end-to-end data traceability, providing the transparency required for regulatory compliance.
• Reconciliation & Parity: Work alongside the QA/Automation team to execute automated reconciliation frameworks, debugging and resolving data discrepancies to ensure strict attribute-level parity and timing equivalence during governed parallel runs

What we offer

Our goal is to build an inclusive positive culture where everyone can feel comfortable being themselves, empowering people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences – providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region supports a hybrid model that can flex across a wide spectrum of working options determined by business, customer and individual needs.

You'll benefit from a comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), discounted gym memberships, and in office yoga sessions and massages. We offer a fantastic benefits package including a competitive pension scheme and recognition schemes through bonus/reward initiatives. Colleagues are entitled to an annual volunteering day – so you can take time to support a cause close to your heart. We also love to stay social with trips to the zoo, quiz nights, sports events, theatre trips and much more.

We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation, and we actively welcome applications from people with a disability or long-term health condition. As users of the Disability Confident scheme, we guarantee to interview all disabled applicants who meet the minimum essential criteria for this vacancy.