Jobs Data Engineer

🌍 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 Senior Data Scientist to join our team and help unlock the full value of data across our platform, products, and business operations. In this role, you will apply advanced analytics, machine learning, and statistical modeling to generate actionable insights, improve decision-making, and drive innovation across the organization.

Responsibilities

• Analyze large, complex datasets to uncover trends, patterns, and insights that support strategic business and product decisions.
• Build predictive models to forecast business outcomes, improve operational efficiency, and support decision-making across multiple functions.
• Design and implement feature engineering techniques to improve machine learning model performance and accuracy.
• Partner with cross-functional teams including product, engineering, operations, and business stakeholders to identify opportunities and translate them into scalable data science solutions.
• Clean, preprocess, and structure data from multiple sources to ensure high-quality inputs for analysis and modeling.
• Develop, test, and deploy machine learning models for use cases such as classification, regression, clustering, recommendation systems, and forecasting.
• Evaluate and optimize model performance using appropriate statistical and machine learning metrics.
• Create dashboards, reports, and visualizations that clearly communicate findings and recommendations to technical and non-technical audiences.
• Automate recurring analysis, reporting, and model workflows to improve efficiency and consistency.
• Monitor production models and continuously improve performance, reliability, and business impact over time.
• Stay current with the latest advancements in data science, machine learning, and AI, and apply relevant innovations to PredictSpring’s platform and operations.

Requirements

• Excellent communication skills, including fluent verbal English, with the ability to explain complex concepts to non-technical stakeholders and collaborate effectively across teams.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Scientist, with a strong background in machine learning, statistical analysis, and predictive modeling.
• Strong programming skills in Python preferred, or similar languages such as R, with hands-on experience using libraries such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
• Expertise in building and deploying machine learning models for classification, regression, time-series forecasting, recommendation systems, and related applications.
• Strong experience with data wrangling, feature engineering, and working with structured and unstructured datasets.
• Proficiency in SQL for querying, transforming, and analyzing structured data.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud for model deployment and data workflows.
• Experience with data visualization tools such as Power BI, Tableau, or Python visualization libraries.
• Strong analytical thinking, problem-solving ability, and a passion for applying data science to real-world business challenges.

Preferred Qualifications

• Familiarity with big data and distributed processing tools such as Apache Spark, Hadoop, or Databricks.
• Experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch.
• Experience with natural language processing techniques such as text classification, sentiment analysis, or large language model applications.
• Strong foundation in statistical analysis, experimentation, and hypothesis testing.
• Experience collaborating with or supporting data engineering teams in building scalable data pipelines.
• Familiarity with version control tools such as Git.
• Strong business acumen and the ability to align technical solutions with business goals.
• Experience in retail, e-commerce, omni-channel commerce, or POS technology is a strong plus.

Why PredictSpring?

• Join a market-leading company shaping the future of omni-channel retail and modern POS.
• Work on high-impact challenges at the intersection of commerce, data, and customer experience.
• Collaborate with a talented global team in a flexible remote work environment.
• Enjoy opportunities for growth, learning, and professional development.
• Contribute to products used by some of the world’s most recognized retail and lifestyle brands.
• Be part of an innovative, collaborative, and data-driven culture focused on delivering measurable business value.

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 scalable, reliable data systems that power real-world solutions? We are looking for a Senior Data Engineer to join our team and work remotely from Europe and Ukraine.

At Sigma Software, we partner with innovative companies to deliver cutting-edge technology solutions. This role offers the opportunity to design and operate a canonical data platform that integrates diverse external data sources, ensuring high quality and flexibility.

Why join us? You’ll work with modern technologies, collaborate with talented professionals across multiple regions, and have the freedom to experiment and innovate while contributing to impactful projects in the AdTech domain.

Customer

Our client is a fast-growing AdTech company focused on solving real-world challenges in digital advertising and data-driven marketing. They specialize in building highly resilient and scalable systems that encourage experimentation and innovation. Their data platform is designed to be both powerful and flexible, enabling engineers to introduce new ideas and leverage the latest technologies to optimize advertising performance and audience insights.

Project

The project involves developing and maintaining a canonical data platform that integrates multiple external data sources. It supports both full data loads and incremental updates, ensures high data quality, and leverages AI-assisted tools for monitoring and issue detection.

Key Technologies: Java, Scala, SQL, GCP Dataflow, REST APIs, AI-assisted tools, event-driven architectures

Responsibilities

• Design, build, and maintain reliable data pipelines to ingest and process data from external systems
• Implement integrations using Java or Scala, ensuring scalability and resilience
• Handle both full data loads and incremental updates efficiently
• Collaborate with engineering and product teams to align on integration and data needs
• Develop and maintain a unified internal data model
• Ensure data quality, detect and resolve incorrect or incomplete data
• Utilize AI-assisted tools to improve data quality and operational efficiency
• Monitor and optimize data pipelines for production readiness
   

Requirements

• At least 5 years of experience as a Data Engineer or Backend/Data Engineer
• Strong production experience with Java or Scala
• Proven experience integrating external systems via REST APIs (pagination, rate limiting, token-based authentication)
• Strong data modelling skills with structured, relational data
• Solid SQL knowledge
• Experience with GCP Dataflow
• Experience operating data pipelines in production environments
• Strong communication skills and ability to collaborate across teams

• At least an Upper Intermediate level of English

   

Will be a plus

• Experience with event-driven architectures or messaging systems
• Designing canonical schemas across multiple data sources
• Experience with LLM (Large Language Models)

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!

We are a global AI-powered financial intelligence company that leverages proprietary AI and large language models to deliver investment research and insights across global markets. Our platform enables financial institutions and investors to access transparent, explainable, and multilingual analysis across equities, funds, and other financial instruments.

We are building scalable, production-grade AI systems that make high-quality financial research accessible and data-driven.

We are looking for a Mid Data Scientist / AI Engineer to develop and deploy machine learning and AI solutions, with exposure to LLM-based systems and modern NLP applications. You will collaborate with senior engineers to build scalable and reliable AI-driven products.

Requirements:

• 3+ years of commercial experience as a Data Science / AI Engineer
• Strong Python skills and solid software engineering fundamentals
• 1+ year of experience with LLM and NLP-related tasks
• Understanding of modern deep learning architectures
• Experience with at least one deep learning framework (TensorFlow or PyTorch)
• Experience with SQL and NoSQL databases
• Good knowledge of Docker
• Strong knowledge of object-oriented programming
• Hands-on experience with RAG pipelines and vector databases
• Experience with cloud platforms (AWS, Google Cloud, Azure)

We are seeking a motivated Junior Big Data Engineer to join our team. In this role, you will contribute to the development and maintenance of data pipelines, data models, and data processing solutions within modern cloud and big data environments. You will work closely with senior engineers to build scalable data solutions and support data-driven business initiatives.

The ideal candidate has hands-on experience with Python, PySpark, and SQL, a solid understanding of data engineering fundamentals, and an interest in working with large-scale data platforms and AI-powered solutions.

Key Responsibilities:

• Support the design, development, and maintenance of data pipelines and ETL/ELT processes.
• Develop and optimize data transformation workflows using Python and PySpark.
• Assist in integrating data from multiple sources while ensuring data quality, consistency, and reliability.
• Collaborate with data engineers, data scientists, and AI/ML engineers to prepare and manage datasets for analytics and machine learning applications.
• Participate in data modeling, schema design, and data warehousing activities.
• Monitor data pipelines, investigate issues, and contribute to performance improvements.
• Follow data governance, security, and privacy best practices.
• Document technical solutions, processes, and data flows.
• Stay current with emerging technologies and industry trends, incorporating innovative solutions into data engineering practices, and effectively document and communicate technical solutions and processes.

Tools and skills you will use in this role:

• Palantir Foundry
• Python
• PySpark
• SQL
• TypeScript

Requirements:

• 1+ year of experience in data engineering
• Strong proficiency in Python and SQL
• Hands-on experience with PySpark
• Familiarity with big data technologies (e.g., Apache Hadoop, Spark, Kafka, BigQuery, etc.)
• Basic experience with cloud services (e.g., AWS Glue, Azure Data Factory, Google Cloud Dataflow)
• Understanding of ETL/ELT pipelines and data integration techniques
• Experience with database systems (e.g., PostgreSQL, MySQL, NoSQL, etc.)
• Effective problem-solving and analytical skills, coupled with excellent communication and collaboration abilities
• Strong communication and teamwork abilities
• Strong mathematical, statistical, and algorithmic skills
• English - Upper-Intermediate or higher

Nice to have:

• Experience with AI/ML
• Previous experience working with JavaScript and TypeScript

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