Jobs Data Engineer

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client looking for a Platform Engineer to drive critical infrastructure initiatives across our backend systems, with primary ownership of our core platform.
This is a high-impact role where you'll architect scalable solutions that serve our entire engineering organization - core platform services that power our AI editing capabilities.
You'll have the opportunity to shape technical decisions across multiple domains while ensuring our platform systems are robust, reliable, and optimized for growth.

Key Requirements:
🔹 5+ years of experience as a Backend Engineer, with experience building platform services or shared infrastructure;
🔹 B.Sc in Computer Science, Software Engineering, or a related field from a well-known university;
🔹 Proven expertise in backend server development, using languages like Python, Scala, Go, or Java;
🔹 Solid understanding of system design principles, API architecture, and service-oriented architectures;
🔹 Proficiency with AWS services and cloud-based architectures;
🔹 Excellent communication skills for collaborating across engineering, product, and operations teams;
🔹 Proactive mindset, having the will and ability to find areas where optimizations can benefit the entire org;
🔹 English – Upper-Intermediate or higher.

What you will do:
🔹 Drive platform-level initiatives that improve scalability, reliability, and developer experience across our backend systems;
🔹 Collaborate with multiple departments to support new platform features and technical initiatives;
🔹 Monitor platform health, investigating and resolving incidents and reliability issues;
🔹 Develop and optimize shared platform services, APIs, and infrastructure used across engineering teams;
🔹 Create internal tools and frameworks that improve developer productivity and system reliability;
🔹 Drive initiatives to improve observability, monitoring, and operational excellence across our infrastructure;

Interview stages:
🔹 HR Interview;
🔹 Tech interview;
🔹 Client Interviews;
🔹 Reference check;
🔹 Offer;

Our customer is the European online car market with over 30 million monthly users, with a market presence in 18 countries. As a Senior Data Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.

Requirements:

• 5+ years of experience in data engineering;
• Expertise in AWS services ( Glue, Athena, etc.);
• Proficiency in Python, PySpark, GCP;
• Experience with Snowflake, DBT, SQL, Airflow;
• Expirience with Qlik to AWS Datalake (nice to have);
• English - Upper-Intermediate+;
• Experience in building and maintaining data pipelines;
• Experience in building data platforms, not just using them;

• Proficiency in data modeling techniques and best practices.

   

Responsibilities:

• Work on migration from Snowflake to the client’s service;
• Propose improvements, be actively involved in team discussions and decision-making, drive initiatives;
• Work closely with a team of Senior Engineers, Product & Project Manager and Data Analysts.
   

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Our customer is the European online car market with over 30 million monthly users, with a market presence in 18 countries. As a Senior Data Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.

Requirements:

• 5+ years of experience in data engineering;
• Expertise in AWS services ( Glue, Athena, etc.);
• Proficiency in Python, PySpark, GCP;
• Experience with Snowflake, DBT, SQL, Airflow;
• Expirience with Qlik to AWS Datalake (nice to have);
• English - Upper-Intermediate+;
• Experience in building and maintaining data pipelines;
• Experience in building data platforms, not just using them;

• Proficiency in data modeling techniques and best practices.

   

Responsibilities:

• Work on migration from Snowflake to the client’s service;
• Propose improvements, be actively involved in team discussions and decision-making, drive initiatives;
• Work closely with a team of Senior Engineers, Product & Project Manager and Data Analysts.
   

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Senior Low level database experience, C++ | Full-time |

About the Project

We are looking for a Senior Database Systems Engineer with deep expertise in low-level database architecture and internals.

This is not a typical backend development role. We are seeking an engineer who understands how databases work under the hood and has hands-on experience with core database components such as transaction processing, storage engines, query planning, indexing, and performance optimization.

Required Skills

• Strong commercial experience with C++
• Deep understanding of database internals
• Experience working with low-level database components, including:
  • Transaction Management (ACID, concurrency control, MVCC)
  • Storage Layer / Storage Engines
  • Query Planning and Query Optimization
  • Query Execution
  • Indexing Structures (B-Tree, LSM Tree, etc.)
  • Memory Management
  • Performance Optimization
• Strong debugging and troubleshooting skills
• Experience analyzing and improving database performance
• Understanding of distributed systems principles

Nice to Have

• Experience with:
  • PostgreSQL
  • MySQL
  • ClickHouse
  • RocksDB
  • LevelDB
  • DuckDB
  • ScyllaDB
  • CockroachDB
  • TiDB
• Database kernel development experience
• Experience building or modifying query execution engines
• Familiarity with database compilers and execution frameworks
• Contributions to open-source database projects

Responsibilities

• Design and develop low-level database components
• Improve storage and transaction processing mechanisms
• Optimize query planning and execution performance
• Work on indexing, concurrency control, and data access layers
• Investigate and resolve performance bottlenecks
• Contribute to architecture decisions for high-performance data systems

🌍 Adaptiq, on behalf of AppsFlyer, is looking for a Data Engineer

🧩 About AppsFlyer:

AppsFlyer provides a SaaS marketing analytics platform that measures and optimizes marketing activities across mobile, web, CTV, PC, and console applications. AppsFlyer is known for its massive backend production. At any given moment, thousands of servers are consuming 150+ billion mobile app events, crunching our users’ data, serving requests, and communicating on a massive scale.

To maintain the universe we call AppsFlyer, we practice modern production operations with a complete self-serve CI/CD platform, a highly integrated observability stack for our micro-services, backends, and infrastructure, a culture of ownership and eagerness for quality.

The Analytics group is responsible for showing our clients the stories their data is telling. Through complex aggregation, mission-tailored analytical databases, and carefully crafted APIs we are able to provide slice-and-dice analysis in our beautiful dashboards and through the use of external integrations.

🌟 About the Role:

As a Data Engineer within the Analytics group at AppsFlyer, you will own the end-to-end journey of event data - from ingestion and processing to storage, modeling, and API delivery. 

You will design and implement data pipelines using Apache Airflow and Spark, choose and optimize analytical databases, and integrate new components in our hybrid microservices environment. You will collaborate with product managers and cross-functional teams, troubleshoot production incidents, and influence our migration toward Google Cloud and BigQuery. This role offers autonomy over feature design, real impact on a platform handling billions of events daily, and the chance to contribute to open-source projects or speak at industry forums.

📈 Key Responsibilities:

• Develop and maintain data processing pipelines using Apache Airflow, Scala Spark or PySpark.
• Select, model and optimize analytical databases for high-throughput, low-latency queries.
• Design and implement backend services and APIs for data ingestion, aggregation and client consumption.
• Monitor system performance and stability; diagnose and resolve production issues.
• Collaborate with product managers and engineers to plan and deliver complex features.
• Drive migration efforts to Google Cloud Platform, BigQuery and modern data tooling.
• Participate in on-call rotations, alerting via PagerDuty and incident response procedures.
• Document system architecture and data flows; maintain code quality and tests.

💻 Required Competence and Skills:

• 3+ years of software development experience with a focus on data engineering.
• Practical experience with Apache Spark (Scala or PySpark) and Apache Airflow.
• Experience building and maintaining high-throughput, low-latency distributed data systems.
• Strong SQL skills and experience with data modeling for analytics workloads.
• Familiarity with JVM languages (Scala, Java, Clojure) or Python for backend development.
• Experience with cloud platforms - preferably GCP - and data warehouses such as BigQuery.
• Proven ownership of production systems and on-call incident management.
• Excellent communication skills in English for distributed teamwork.
• B.Sc. in Computer Science or equivalent practical experience.

➕ Nice to Have:

• Production experience with large-scale databases and ETL tooling.
• Hands-on background in Go or Clojure backend services.
• Experience with production-grade BigQuery ETL and data pipelines.
• Contribution to open-source projects or public speaking at meetups/conferences.
• An “AI mindset” - familiarity with tools like GitHub Copilot and emerging AI workflows.

🚀 Benefits Package includes:

• Health Insurance
• Paid Unlimited Vacation Days + all national holidays + additional recharge days
• Meals Reimbursement
• Sport Reimbursement
• Breakfast in the office
• Mental health program
• Team building, happy hours, and other team activities
• Paid sick days
• Snacks, fruits & ice-cold beer
• All new team members are provided with a brand-new Mac laptop with 2 monitors and a Starter package

Senior Data Engineer / Platform Engineer

Location: Remote
Engagement: Full-time, 2-month contract with strong potential for long-term extension (full-time or part-time)

About the Company

Our client is an innovative AI-driven product company building intelligent agents that automate and enhance customer interactions across multiple channels. As the company continues to scale, they are looking for an experienced Senior Data Engineer / Platform Engineer to strengthen and evolve their data infrastructure.

About the Role

We are seeking a highly skilled Senior Data Engineer / Platform Engineer to design, build, and maintain reliable, scalable data infrastructure and pipelines across the analytics and product data ecosystem.

In this role, you will play a key part in ensuring that business and product teams have access to accurate, trustworthy, and actionable data while improving the overall reliability, observability, and scalability of the company's data platform.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines and workflows.
• Develop and optimize data infrastructure supporting analytics and product use cases.
• Improve data quality, reliability, monitoring, and observability practices.
• Manage and enhance integrations between internal and external systems.
• Collaborate closely with Engineering, Product, and Implementation teams.
• Ensure data consistency, accessibility, and governance across the organization.
• Support and optimize production-grade data systems and processes.
• Contribute to the ongoing evolution of the company's data platform architecture.

Requirements

• 5+ years of experience in Data Engineering, Platform Engineering, or a related field.
• Proven experience building and maintaining production-grade data systems.
• Strong hands-on experience with cloud data platforms, preferably Google Cloud Platform (GCP).
• Advanced SQL expertise.
• Extensive experience designing, developing, and supporting ETL/ELT pipelines.
• Experience with data orchestration and workflow management tools.
• Strong knowledge of Microsoft SQL Server.
• Hands-on experience with ClickHouse.
• Experience working with Fivetran.
• Strong understanding of data quality, monitoring, and observability best practices.
• Excellent verbal and written English communication skills.
• Ability to work independently in a fast-paced, dynamic environment.

Nice to Have

• Experience supporting modern analytics platforms and data ecosystems.
• Background working within SaaS or AI-driven product companies.
• Familiarity with large-scale data processing and optimization.

What We Offer

• Opportunity to work with a cutting-edge AI product company.
• High-impact role with ownership over critical data infrastructure.
• Fully remote work environment.
• Fast-moving and collaborative engineering culture.
• Strong potential for long-term engagement beyond the initial contract period.

AWS Cloud Engineer

Softprom Solutions
Azerbaijan | Remote / Hybrid
Full-time | Contractor (Individual Entrepreneur)
Contract with Austria

About Softprom

Softprom Solutions is an international IT distributor and solutions provider working with leading global vendors in Cloud, Cybersecurity, Infrastructure, and Enterprise IT.

We are expanding our Cloud Practice and are looking for an AWS Cloud Engineer in Azerbaijan who wants to grow professionally, work on real customer projects, and collaborate with international teams under an Austrian contract.

About the role

This role is ideal for an AWS-certified engineer with solid fundamentals who wants to deepen hands-on experience in cloud architecture, deployments, automation, and customer-facing work.

You will work closely with senior architects, sales teams, and customers, participating in both technical delivery and pre-sales activities.

Responsibilities

• Support the design and documentation of AWS cloud architectures following the AWS Well-Architected Framework
   
• Participate in deployment and configuration of core AWS services, including
  VPC, EC2, S3, RDS, IAM, Lambda, Load Balancers
   
• Assist with AWS networking configuration:
  Subnets, Route Tables, Security Groups, NACLs
   
• Contribute to automation and Infrastructure as Code (IaC) initiatives using
  Terraform and/or AWS CloudFormation
   
• Create and maintain technical documentation for architectures and configurations
   
• Participate in customer meetings, presentations, and demos, explaining AWS solutions and capabilities
  
   

Requirements (Must have)

• Active AWS Certified Solutions Architect – Associate (SAA-C03)
   
• Solid theoretical understanding of AWS core services:
  Compute, Storage, Databases, Networking, Security
   
• Basic networking knowledge:
  TCP/IP (L3, L4), IP addressing, subnetting, DNS
   
• Understanding of cloud principles:
  High Availability, Fault Tolerance, Scalability, Security
   
• Basic Linux skills (command line)
   
• Ability to read and understand technical documentation in English
  
   

Nice to have

• Hands-on experience with Terraform or CloudFormation
   
• Basic scripting skills (Python, Bash)
   
• Familiarity with Docker, Kubernetes, ECS
   
• Personal, educational, or non-commercial projects deployed on AWS
  
   

Soft skills

• Strong motivation to learn and grow in cloud engineering
   
• Structured and analytical thinking
   
• Clear and confident communication
   
• Ukrainian or Russian — fluent
   
• English — reading technical documentation (spoken English is a plus)
  
   

We offer
 

• Individual Entrepreneur (FOP) / contractor model
   
• Official contract with Austria
   
• Full-time workload
   
• Real commercial AWS projects (not internal labs)
   
• Participation in architecture design and pre-sales activities
   
• Professional growth within Cloud & Solutions Architecture
   
• International customers and vendors
   
• Supportive, senior cloud team and mentorship

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:

Our client is a global technology company that builds products powering millions of websites worldwide. The platform is used by developers, designers, marketers, agencies, and enterprises to build, manage, and scale their web presence.

Operating in more than 160 countries, the company powers over 21 million websites and launches a new website every 10 seconds. Engineers joining the team will have the opportunity to work on infrastructure that supports millions of users and one of the largest-scale B2C environments in the industry.

The company follows an AI-first, data-driven, and human-led approach, combining innovation, scalability, and collaboration while building products used worldwide.

About the Role:

We're looking for a Senior DevOps Engineer in Poland/Warsaw to join the Cloud R&D team and help design, implement, and maintain highly scalable cloud infrastructure that powers millions of websites globally.

You will be responsible for improving infrastructure security, scalability, reliability, and automation while supporting the entire R&D organization through CI/CD, IaC, monitoring, and cloud operations.

You will work closely with development teams, optimize Kubernetes environments, participate in architecture decisions, and contribute to building large-scale systems that operate 24/7.

This role offers significant ownership, exposure to large-scale B2C infrastructure challenges, and the opportunity to become one of the first international DevOps engineers helping establish a future engineering presence in Poland.

Key Responsibilities:

• Continuously improve infrastructure to make it more secure, scalable, and robust.
• Design, build, and maintain CI/CD pipelines and Infrastructure as Code solutions.
• Support R&D cloud operations by developing automation tools and processes.
• Participate in architecture planning for cloud-based solutions.
• Optimize workloads and Kubernetes clusters.
• Build and maintain monitoring and observability solutions.
• Evaluate and implement new technologies for internal and external services.
• Collaborate closely with developers, engineering teams, and stakeholders across the organization.
• Participate in an on-call rotation (approximately one week every 1.5–2 months).

Required Competence and Skills:

• 5+ years of professional DevOps experience.
• 3+ years of hands-on Kubernetes experience.
• Hands-on experience with GCP or AWS
• Experience operating production environments.
• Experience with CI/CD tools such as GitHub Actions, Jenkins, or GitLab.
• Experience working with MySQL, MongoDB, and Redis.
• Strong communication and collaboration skills.
• Strong English communication skills.

Nice to Have:

• Experience with Terraform.
• Experience developing Kubernetes Operators.
• Experience operating highly available 24/7 production systems.
• Experience working in large-scale B2C environments.

Why Us:

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

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

We utilize a remote-first work model, with a potential future hybrid setup in Warsaw (up to 2 office days per week if a local office is established).

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

You will have the opportunity to work on infrastructure powering millions of websites and millions of users worldwide, solve large-scale engineering challenges, and collaborate with an international team in a product-driven environment.

Workload: full-time
Start: asap
Location: any
English: B2-C1
Budget: depending on experience, but affordable rates are more preferable to the client.

Job description
We are looking for an experienced Senior Data Engineer / Platform Engineer to help build and maintain reliable, scalable data infrastructure, pipelines, and tooling across analytics and product data stack. This is a full-time, 2-month engagement with strong potential for long-term extension (full-time or part-time)
You will play a key role in designing and improving the company's data ecosystem, ensuring that business and product teams have access to accurate, trustworthy, and actionable data.

About the Client
AI-driven product company focused on building intelligent agents that automate and enhance customer interactions across multiple channels.

What You'll Do

• Design, build, and maintain scalable ETL/ELT workflows.
• Improve data quality, reliability, and observability practices.
• Manage and enhance integrations between various systems and platforms.
• Collaborate closely with engineering, product, and implementation teams.
• Ensure data accessibility and consistency for analytics and operational use cases.

Requirements

• Minimum 5 years of experience in Data Engineering or Platform Engineering.
• Strong experience building and maintaining production-grade data systems.
• Hands-on experience with cloud data platforms, preferably Google Cloud Platform (GCP).
• Advanced SQL skills.
• Experience designing and supporting ETL/ELT pipelines.
• Experience with data orchestration and workflow management tools.
• Strong knowledge of MS SQL Server.
• Experience working with ClickHouse.
• Hands-on experience with Fivetran.
• Excellent verbal and written English communication skills.
• Ability to operate independently and thrive in a fast-paced environment.

Recruitment Process

• Pre-screen with the Recruitment Manager.
• Interview with Product Owner – discussion around experience, technical background, and project fit.
• "Vibe Coding" Session with Product Owner!!!

We are looking for an experienced Data Engineer to leverage their skillset in a fast-paced financial trading environment. You will be responsible for designing, developing, and maintaining data pipelines and infrastructure across GCP , and Oracle-based systems, ensuring high-performance data flows that support trading, risk, and compliance functions. This role requires a deep understanding of cloud architecture, large-scale data processing, and a strong grasp of agile delivery practices.
 

About the client
 

An international consulting firm that helps companies of all sizes have a better impact on the world. Company capabilities focus on supporting the private and public sectors with their people, processes, and digital technology challenges.
 

What You Will Do
 

● Design, build, and maintain scalable data pipelines primarily within Google Cloud Platform
 

● Develop integration and transformation workflows between cloud data services and on-prem Oracle databases
 

● Work closely with trading, risk, and analytics teams to understand data requirements and deliver real-time and batch data solutions
 

● Optimise and monitor performance of data systems to support latency-sensitive trading applications
 

● Collaborate with cross-functional teams using Agile/Scrum methodologies to deliver business-critical data projects
 

● Ensure robust data governance, lineage, and compliance (including MiFID II, FCA, and other regulatory standards)
 

● Automate data workflows using Terraform, CI/CD pipelines, and containerisation tools (Docker/Kubernetes)
 

What you will bring
 

● Strong experience with Google Cloud Platform (GCP) e.g. BigQuery, DataPlex, DBT, Pub/Sub, Dataflow, S3, Glue, Redshift
 

● Expertise in Oracle SQL, PL/SQL, and working with complex stored procedures and large datasets
 

● Proficiency in programming languages such as Python, Java, or Scala
 

● Experience with streaming and messaging systems (e.g. Jenkins, GitLab), and container orchestration (Kubernetes)
 

● Experience working with Infrastructure as Code, preferably Terraform, to manage cloud data infrastructure.
 

● Deep understanding of data modelling, data warehousing, and ETL/ELT design patterns
 

● Familiarity with Agile development practices (Scrum, Kanban, Jira)
 

● Exposure to financial markets, trading systems, or related high-performance environments is a strong plus
 

Nice to have
 

● GCP certification (e.g., Professional Data Engineer or similar) will be considered a strong advantage.
 

● Experience with Amazon Web Services (AWS)
 

● Knowledge of regulatory reporting, market data, or trade surveillance systems
 

● Experience with Apache Airflow, DBT, or similar orchestration tools
 

● Understanding of data security practices and compliance frameworks

The CHI Software team is not standing still. We love our job and give it one hundred percent of us! Every new project is a challenge that we face successfully. The only thing that can stop us is… Wait, it’s nothing! The number of projects is growing, and with them, our team too. And now we need a Middle/Senior Data Engineer.
 

Requirements:

• 4+ years of experience as a Data Engineer;
• Completed Data Engineering Professional certification;
• Minimum 2 projects delivered with hands-on experience in development on Databricks;
• Experience in Apache Spark Programming with Databricks;
• Experience with Azure cloud;
• Upper-Intermediate English level.

Role Overview
 

Beyond the strong technical skills, we’re looking for someone who enjoys being part of a team while also being comfortable working independently. The ideal candidate is proactive, takes ownership of their work, and is naturally curious: someone who enjoys learning, improving, and staying engaged with what they do. We value people who are genuinely interested in their work and motivated to contribute, not just execute tasks.
 

- Design, build and maintain scalable ETL/ELT pipelines and data models in Snowflake.
 

- Ensure data is reliable, high-quality, and performs well across different workflows
 

- Monitor pipelines, troubleshoot issues and continuously improve performance
 

- Work closely with data analysts, BI developers and other stakeholders to understand and support business needs
 

- Take ownership of deploying and operating data pipelines, including CI/CD processes and releases.
 

- Have strong practical experience with AWS
 

- Comfortable working with Git and modern development workflows
 

- Familiarity with cloud infrastructure and tools such as Terraform or Docker
 

- Own the stability and performance of data workflows in production environments
 

- Contribute to automation, as well as monitoring, logging and alerting for data workflows.
 

- Support environment management and ensure smooth operation of data pipelines in production
 

- Bring strong hands-on experience with Snowflake.
 

- Experience working in a data engineering team, building data warehouses and pipelines. 
 

- Pharma domain experience: nice to have.
 

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

We are looking for a Senior Software Engineer – Platform Modernization to lead development efforts focused on improving system scalability, modernizing backend services, and enhancing infrastructure and data systems within a high-scale, event-driven architecture.

The platform is built on a robust event-driven design and already supports scalable real-time processing and analytics. The goal of this role is to further expand its capabilities to meet growing technical and business demands.

As a senior member of the engineering team, you will play a key role in shaping the future of the platform by driving architectural improvements, increasing system reliability, and optimizing performance across core services. Your work will have a direct impact on the scalability, stability, and efficiency of mission-critical systems.

Responsibilities
 

• Develop and maintain modular, containerized microservices using .NET Core within a distributed architecture.
• Implement event-driven communication and streaming data flows using Kafka, RabbitMQ, and MassTransit.
• Collaborate with product leads and engineering leadership to translate business requirements into scalable technical solutions.
• Lead migration efforts from legacy components built on technologies such as .NET Framework and MSMQ into modern, cloud-ready services.
• Participate in design reviews, promote clean code practices, and apply Domain-Driven Design principles.
  
  Requirements
   
• Minimum 4 years of experience in backend development.
• Proven expertise in big data and messaging systems — Kafka and RabbitMQ are mandatory.
• Experience with relational and NoSQL databases, including MSSQL, PostgreSQL, MongoDB, Redis
• Familiarity with MSMQ for legacy system understanding and migration - advantage
• Strong proficiency in .NET Core, .NET Framework, and C#.
• Experience in infrastructure development, including cloud-native and general-purpose systems - advantage
• Experience with AWS services (e.g., ECS/EKS, Lambda, RDS, S3, CloudWatch) - advantage
• Hands-on experience with MassTransit or other orchestration libraries - advantage
• Solid understanding of distributed systems, microservices, and event-driven architectures.
• Experience with API design, documentation, and governance.
• Knowledge of security best practices, including OAuth2, JWT, and secrets management.
• Strong debugging, profiling, and performance optimization skills.
• Passion for clean code, testing, and continuous improvement.
• Strong communication skills and a proactive approach to problem-solving.
• Ability to mentor junior developers and contribute to team growth.
  
  Bonus Skills
• Exposure to JavaScript/React for cross-layer collaboration.
• Familiarity with CI/CD pipelines, containerization, and infrastructure as code.

Hi!

Our client is an international product company that helps hotel chains like Hilton and Marriott transform front-desk staff into revenue generators through upselling training and analytics. Their IN-Gauge SaaS platform empowers frontline teams across 2,000+ properties in over 100 countries.

Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL/ELT processes on AWS
• Develop and optimize distributed data processing jobs using Spark/PySpark
• Ensure data quality, reliability, and performance in high-load environments
• Collaborate with product, analytics, and engineering teams to deliver data-driven solutions
• Monitor, troubleshoot, and improve existing data workflows
• Proactively identify bottlenecks and propose architectural improvements

Requirements:

• 5+ years of commercial experience in Data Engineering
• 3+ years of hands-on experience with AWS
• 2+ years of experience with Spark/PySpark 
• Experience working in high-load environments
• Autonomous and proactive mindset - ability to own tasks and drive them independently

We offer:

• Work on a product used by the world's leading hotel brands
• An international team and the opportunity to influence architectural decisions
• Flexible schedule and remote work
• Competitive compensation based on experience

Interested? Send us your CV - we'd love to talk!