Jobs

We are looking for a Data Engineer to join our team!

Data Engineer is responsible for designing, maintaining, and optimizing data infrastructure for data collection, management, transformation, and access.

He/she will be in charge of creating pipelines that convert raw data into usable formats for data scientists and other data consumers to utilize.

Data Engineer should be comfortable working with RDBMS and has a good knowledge of the appropriate RDBMS programming language(s) as well.

The Data Engineer fulfills processing of client data based on proper specification and documentation.

*Ukrainian student in UA (2d year and higher).

Main responsibilities:

- Design and develop ETL pipelines;

- Data integration and cleansing;

- Implement stored procedures and function for data transformations;

- ETL processes performance optimization.

Skills and Requirements:

- Experience with ETL tools (to take charge of the ETL processes and performs tasks connected with data analytics, data science, business intelligence and system architecture skills);

- Database/DBA/Architect background (understanding of data storage requirements and design warehouse architecture, should have the basic expertise with SQL/NoSQL databases and data mapping, the awareness of Hadoop environment);

- Data analysis expertise (data modeling, mapping, and formatting, data analysis basic expertise is required);

- Knowledge of scripting languages (Python is preferable);

- Troubleshooting skills (data processing systems operate with large amounts of data and include multiple structural elements. Data Engineer is responsible for the proper functioning of the system, which requires strong analytical thinking and troubleshooting skills);

- Tableau experience is good to have;

- Software engineering background is good to have;

- Good organizational skills, and task management abilities;

- Effective self-motivator;

- Good communication skills in written and spoken English.

Salary Range

Compensation packages are based on several factors including but not limited to: skill set, depth of experience, certifications, and specific work location.

Looking for a Data Engineer to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

Skills requirements:
• 2+ years of experience with Python;
• 2+ years of experience as a Data Engineer;
• Experience with Pandas;
• Experience with SQL DB / NoSQL (Redis, Mongo, Elasticsearch) / BigQuery;
• Familiarity with Amazon Web Services;
• Knowledge of data algorithms and data structures is a MUST;
• Working with high volume tables 10m+.

Optional skills (as a plus):
• Experience with Spark (pyspark);
• Experience with Airflow;
• Experience with Kafka;
• Experience in statistics;
• Knowledge of DS and Machine learning algorithms..

Key responsibilities:
• Create ETL pipelines and data management solutions (API, Integration logic);
• Different data processing algorithms;
• Involvement in creation of forecasting, recommendation, and classification models.

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary fixed in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

Looking for a Team Lead Data Engineer to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

As a Team Lead, you will be an expert and a leader, playing a crucial role in guiding the development team, making technical decisions, and ensuring the successful delivery of high-quality software products.

Skills requirements:

• 5+ years of experience with Python;

• 4+ years of experience as a Data Engineer;

• Knowledge of data algorithms and data structures is a MUST;

• Excellent experience with Pandas;

• Excellent experience with SQL DB / NoSQL (Redis, Mongo, Elasticsearch) / BigQuery;

• Experience Apache Kafka, Apache Spark (pyspark);

• Experience with Hadoop;

• Familiarity with Amazon Web Services;

• Understanding of cluster computing fundamentals;

• Working with high volume tables 100m+.

Optional skills (as a plus):

• Experience with scheduling and monitoring (Databricks, Prometheus, Grafana);

• Experience with Airflow;

• Experience with Snowflake, Terraform;

• Experience in statistics;

• Knowledge of DS and Machine learning algorithms.

Key responsibilities:

• Manage the development process and support team members;

• Conduct R&D work with new technology;

• Maintain high-quality coding standards within the team;

• Create ETL pipelines and data management solutions (API, Integration logic);

• Elaborate different data processing algorithms;

• Involvement in creation of forecasting, recommendation, and classification models;

• Develop and implement workflows for receiving and transforming new data sources to be used in the company;

• Develop existing Data Engineering infrastructure to make it scalable and prepare it for anticipated projected future volumes;

• Identify, design and implement process improvements (i.e. automation of manual processes, infrastructure redesign, etc.).

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary fixed in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

We seek a Junior Data Engineer with basic pandas and SQL experience.

At Dataforest, we are actively seeking Data Engineers of all experience levels.

If you're ready to take on a challenge and join our team, please send us your resume.

We will review it and discuss potential opportunities with you.

Requirements:

• 6+ months of experience as a Data Engineer

• Experience with SQL ;

• Experience with Python;

Optional skills (as a plus):

• Experience with ETL / ELT pipelines;

• Experience with PySpark;

• Experience with Airflow;

• Experience with Databricks;

Key Responsibilities:

• Apply data processing algorithms;

• Create ETL/ELT pipelines and data management solutions;

• Work with SQL queries for data extraction and analysis;

• Data analysis and application of data processing algorithms to solve business problems;

We offer:

• Onboarding phase with hands-on experience with major DE stack, including Pandas, Kafka, Redis, Cassandra, and Spark

• Opportunity to work with the high-skilled engineering team on challenging projects;

• Interesting projects with new technologies;

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary fixed in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

Join Burny Games — a Ukrainian company that creates mobile puzzle games. Our mission is to create top-notch innovative games to challenge players' minds daily.

What makes us proud?

• In just two years, we've launched two successful mobile games worldwide: Playdoku and Colorwood Sort. We have paused some projects to focus on making our games better and helping our team improve.
• Our games have been enjoyed by over 8 million players worldwide, and we keep attracting more players.
• We've created a culture where we make decisions based on data, which helps us grow every month.
• We believe in keeping things simple, focusing on creativity, and always searching for new and effective solutions.

We are seeking an experienced software engineer to create a high-performance, scalable, and flexible real-time analytics platform.
You will be a key member of our team, responsible for the architecture, development, and optimization of services for processing and analyzing large volumes of data (terrabytes).
 

Required professional experience:

• 5+ years of experience in developing distributed systems or systems at scale.
• Willingness to upskill on Go, proficient in one of languages: Go, Python, Java/Scala/Kotlin, Rust.
• Rock solid computer science fundamentals.
• Experience with any NoSQL (preferably Cassandra) and OLAP (preferably ClickHouse) databases.
• Experience with distributed log-based messaging system (one of: Kafka, NATS JetStream, etc)
• Experience with Kubernetes (Helm, ArgoCD).
   

Desired Skills:

• Experience with common networking protocols.
• Experience working with observability tools, such as metrics and traces.
• Database fundamentals.
• Understanding of scalable system design principles and architectures for real-time data processing.
• Experience with distributed processing engine (one of: Flink, Spark).
• Experience with open table format (one of: Apache Iceberg, Delta Lake, Hudi).
• Experience with cloud platforms (one of: Google Cloud, AWS, Azure).
   

Key Responsibilities:

• Design and develop the architecture of an behavioral analytics platform for real-time big data processing.
• Implement key engine systems (data collection, event processing, aggregation, prepare data for visualization).
• Optimize the platform performance and scalability for handling large data volumes.
• Develop tools for user behavior analysis and product metrics.
• Collaborate with data analysts and product managers to integrate the engine into analytics projects.
• Research and implement new technologies and methods in data analysis.
   

What we offer:

• 100% payment of vacations and sick leave [20 days vacation, 22 days sick leave], medical insurance.
• A team of the best professionals in the games industry.
• Flexible schedule [start of work from 8 to 11, 8 hours/day].
• L&D center with courses.
• Self-learning library, access to paid courses.
• Stable payments.
   

The recruitment process:

CV review → Interview with talent acquisition manager → Interview with hiring manager → Job offer.

If you share our goals and values and are eager to join a team of dedicated professionals, we invite you to take the next step.

OBRIO is an IT company with Ukrainian roots inside Genesis business ecosystem. We’re a Forbes-recognized lovemark brand with the highest eNPS in 2025. Our team consists of more than 300 talented professionals, whose ambitions and striving for success help us build the best products on the market. We have offices in Kyiv, Lviv and Warsaw.
 

We are developing Nebula – the biggest brand in the spiritual niche:

• Nebula is #1 in its niche in terms of downloads and revenue targets;
• 60 million users worldwide;
• Users from 50+ countries;

• 4.8 - our average AppStore rating (with more than 215 thousand ratings).

   

As we establish and grow our data platform and data engineering team, we’re looking for a fourth Data Engineer to join us. You’ll team up with Daniil Yolkin, our Lead Data Engineer, along with data analysts in different domains (product, payments, marketing etc.), to optimize processes and craft innovative solutions that drive the business forward.

Our technical stack: AWS, Airflow, Redshift, SQL, Python, Git.

Why You’ll Thrive Here:
 

• 📈 Work with data at scale – Gain hands-on experience handling extensive batch and streaming datasets.
• 🏗️ Shape the future – Build our data engineering function with frameworks like Medallion, OBT, and Data Mesh.
• 🎯 Empowered decision-making – Take ownership of decisions in the analytical domain and collaborate directly with stakeholders.
• 🧱 Drive innovation – Play a key role in influencing architectural decisions that define our data strategy.
• 🚀 Career growth – Progress from Data Engineer to Data Architect, with long-term opportunities in Data Science or ML Engineering roles.

Your impact:
 

• Maintain and optimize existing data processes in Airflow;
• Extract and process data from RESTful APIs and OLTP systems;
• Develop and enhance a scalable data platform on Redshift.
   

About You:
 

• 1+ years of experience working with data;
• Proficient in Python for ETL/ELT processes (Airflow, PySpark, or similar);
• Strong SQL knowledge (Postgres or similar);
• Experience working with RESTful APIs;
• Familiar with analytical database architectures (Kimball, Inmon, Data Vault, Medallion);
• Experience with cloud-native analytical databases (Redshift or similar);
• Hands-on experience in cloud environments (AWS or similar);
• Worked with big data storage/processing tools (AWS MWAA, AWS Glue, Redshift);
• Familiar with orchestration tools (Apache Airflow or similar).

Nice To Have:
 

• Experience with streaming analytics;
• Writing Data Quality scripts;
• Experience with external RESTful APIs (Google Ads, Facebook Ads, TikTok Ads).

Our benefits:

• Work from the comfort of your home or from one of our offices in Kyiv, Lviv or Warsaw. The choice is yours!
• Enjoy 20 annual vacation days and unlimited sick leave, all covered by the company;
• Don't worry about getting the right equipment, we've got you covered if necessary;
• Stay healthy with access to a corporate doctor online, and health insurance options in Ukraine or a fixed amount towards insurance abroad after your probation period;
• Keep learning with our extensive corporate library, internal online meetings, and lectures;
• Grow your skills with our training compensation program;
• Take advantage of our supportive corporate culture, including assistance with relocation, advice on legal stay abroad, housing support, and help for third-country nationals;
• Have fun with our online events and team-building activities!

Here's what our hiring journey looks like: Introductory Call with a Recruiter (20–30 minutes) ➡️ Technical Interview (1.5 hours) ➡️ Final Interview with a C-level Executive (1 hour) ➡️ Job Offer.

Let's team up and reach for the stars together!

Role Overview:

We are looking for a Data Engineer to join the growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Key Responsibilities:
 

— Develop and maintain data infrastructure and data warehouse solutions;

— Design, develop, and maintain scalable and efficient data pipelines and ETL processes;

— Develop APIs;

— Gathering and defining business requirements for data tools and analytics;

— Communicate and collaborate with the analytics team;

—Monitor and troubleshoot data pipelines and infrastructure, and implement measures to ensure data integrity, security, and performance;

— Assistance in the implementation of data science solutions;

— Develop and maintain documentation for data pipelines, infrastructure, and workflows;

— Stay up-to-date with the latest data engineering technologies and best practices, and make recommendations for new tools and approaches to improve efficiency and quality;

— Automation of the data processes;

— Collect data from different sources.
 

Ideal profile for the position:
 

— 2+ years of work experience as a Data Engineer;

— Experience with AWS - S3, Redshift, DMS, Glue, Lambda, Athena, QuickSight;

— Excellent level of SQL;

— Proficient in Python;

— Knowledge and experience with the development of data warehousing and ETL pipelines;

— API development experience;

— Basic understanding of machine learning and data science;

— Experience with API development;

— Experience in relational and non-relational databases;

— Good-level written and verbal communication skills;

— Upper-intermediate or higher English level.
 

The company guarantees you the following benefits:
 

The company guarantees you the following benefits:

— Global Collaboration: Join an international team where everyone treats each other with respect and moves towards the same goal;

Autonomy and Responsibility: Enjoy the freedom and responsibility to make decisions without the need for constant supervision.

— Competitive Compensation: Receive competitive salaries reflective of your expertise and knowledge as our partner seeks top performers.

— Remote Work Opportunities: Embrace the flexibility of fully remote work, with the option to visit company offices that align with your current location.

— Flexible Work Schedule: Focus on performance, not hours, with a flexible work schedule that promotes a results-oriented approach;

— Unlimited Paid Time Off: Prioritize work-life balance with unlimited paid vacation and sick leave days to prevent burnout;

— Career Development: Access continuous learning and career development opportunities to enhance your professional growth;

— Corporate Culture: Experience a vibrant corporate atmosphere with exciting parties and team-building events throughout the year;

— Referral Bonuses: Refer talented friends and receive a bonus after they successfully complete their probation period;

— Medical Insurance Support: Choose the right private medical insurance, and receive compensation (full or partial) based on the cost;

— Flexible Benefits: Customize your compensation by selecting activities or expenses you'd like the company to cover, such as a gym subscription, language courses, Netflix subscription, spa days, and more;

— Education Foundation: Participate in a biannual raffle for a chance to learn something new, unrelated to your job, as part of our commitment to ongoing education.

Interview process:

— A 30-minute interview with a member of our HR team to get to know you and your experience;

— A final 2-hour interview with the team to gauge your fit with our culture and working style.

If you find this opportunity right for you, don't hesitate to apply or get in touch with us if you have any questions!

Hello! We’re excited to introduce you to Softsich! 

We’re a young, fast-growing company making waves in the iGaming market. Here’s your chance to join us as a Senior Data Engineer and reach new heights together!
If you are passionate about data, cloud technologies, and dream of building powerful information processing solutions, then we are waiting for you!

What are you going to do?

• Design and implement a scalable and efficient data warehouse using AWS technologies (e.g., Redshift, S3, EMR).
• Develop and maintain data pipelines for ingesting, processing, and transforming data from various sources (e.g., Kafka, MongoDB, PostgreSQL, messaging systems).
• Build and optimize data models for analytical and reporting purposes.
• Create and maintain data infrastructure for efficient data access and analysis.
• Collaborate with product owners and analysts to provide data insights and support their work.
• Ensure data quality, integrity, and security throughout the data lifecycle.
• Stay up-to-date with the latest technologies and trends in data engineering.

Our ideal candidate:

• Strong understanding of data warehousing concepts and best practices.
• Hands-on experience with AWS cloud services (e.g., EC2, S3, IAM, VPC, CloudWatch).
• Proficiency in SQL and experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Experience with data ingestion and processing tools (e.g., Kafka, SQS, SNS).
• Knowledge of ETL/ELT processes and data transformation techniques.
• Experience with scripting/programming languages (e.g., Python, Java) for automation.
• Ability to work independently and take ownership of projects.
• Excellent communication and collaboration skills.

What we offer:

• Competitive salary.
• Remote work format or the opportunity to work in a modern office.
• Flexible schedule and 24 days of paid vacation.
• Courses and trainings for professional development.
• Not a joule of energy for the aggressor country, related businesses or partners;
• An incredibly friendly team, where everyone is ready to share their experience, help and support;
  
   

Join our team, where data is more than just numbers — it’s the foundation of great decisions! 
Send us your resume and start your journey toward new career heights with us! 🚀

Ajax Systems is a global technology company and the leading developer and manufacturer of Ajax security systems with smart home capabilities in Europe. It encompasses a comprehensive ecosystem featuring 135 devices, mobile and desktop applications, and a robust server infrastructure. Each year, we experience substantial growth in both our workforce and our user base worldwide. Currently, the company employs over 3,300 individuals, while Ajax sensors safeguard 2.5 million users across more than 187 countries.

We have an open position for a Senior SAC Consultant in our team. We are looking for a professional who will help us design and implement advanced analytics solutions, transforming business data into strategic insights using SAP Analytics Cloud and SAP S/4HANA Embedded Analytics.

Key Responsibilities:

• Analytics Solution Development: Design and develop interactive dashboards, reports, and KPIs in SAP Analytics Cloud (SAC);
• Focus on visual design principles to create user-friendly and intuitive dashboards. Propose a design code guide to follow in the team;
• Utilize SAC capabilities, including planning, forecasting, and predictive analytics;
• Enable and optimize Embedded Analytics in SAP S/4HANA by consuming CDS Views.
• Data Integration and exploration: Integrate data from various sources (SAP and non-SAP systems, SQL databases, etc.) into SAC for unified analytics and reporting;
• Perform exploratory data analysis (EDA) to uncover patterns, validate data quality, and derive actionable insights.
• Business Collaboration: Work closely with business stakeholders to gather requirements, define KPIs, and translate business needs into technical solutions;
• Provide guidance on self-service analytics to empower business users and enhance BI adoption.
• Solution Optimization and Governance: Ensure SAC solutions align with data governance and performance best practices;
• Manage access controls, data security, and compliance across SAC deployments;
• Monitor and optimize dashboards for usability, performance, and scalability.
• Documentation and Knowledge Sharing: Document all solutions, models, data integrations, and reporting workflows to ensure transparency and maintainability;
• Create clear technical and user documentation to support stakeholders and end-users.
• Integration and Enablement: Collaborate with SAP Data Engineers to ensure data readiness from SAP S/4HANA and SAP Data Sphere;
• Integrate SAC with SAP back-end systems and other data sources for a unified
• Leadership and Support: Provide thought leadership on advanced SAC functionalities, trends, and best practices;
• Mentor team members and train end-users to maximize the value of SAC.

Key Requirements:

• 4+ years of experience in SAP Analytics Cloud (SAC), including planning, predictive analytics, and dashboard development.
• Strong knowledge of SAP S/4HANA Embedded Analytics and integration of CDS Views into SAC models.
• Hands-on experience performing exploratory data analysis (EDA) across various data sources to identify patterns, insights, and data quality issues.
• Experience working with SQL-based databases to query, validate, and manipulate datasets for analytics purposes.
• Solid understanding of data visualization best practices and performance optimization techniques.
• Familiarity with integrating SAC with SAP and non-SAP systems for seamless data consumption.
• Excellent ability to gather and translate business requirements into technical analytics solutions. 
• Strong communication and stakeholder engagement skills, enabling collaboration with technical and business teams.
• Problem-solving mindset to address complex analytics challenges and ensure data-driven decision-making.
• Ability to work in cross-functional teams, coordinating with Data Engineers and IT stakeholders to ensure data readiness.

• Proactive, detail-oriented, and committed to delivering high-quality solutions.

   

We offer:

• Opportunity to build your own processes and best practices;
• A dynamic team working within a zero-bullshit culture;
• Working in a comfortable office at UNIT.City (Kyiv). The office is safe as it has a bomb shelter;
• Reimbursement for external training for professional development;
• Ajax's security system kit to use;
• Official employment with Diia City ;
• Medical Insurance;
• Flexible work schedule.

Ajax Systems is a Ukrainian success story, a place of incredible strength and energy.

Our Client is a global investment advisor organization that utilizes advanced technologies and data analytics to improve the operational performance of their portfolio companies. Key objectives include delivering strong financial returns, offering diverse investment opportunities, enhancing portfolio company operations, and proactively managing risks. They have invested in proprietary technology and data-driven strategies to extract additional value. Currently, they are expanding their data science team in London, seeking a Technical Lead Data Engineer to further develop their internal Data Platform.

Required Skills and Qualifications:
 

Must have:

• Python Development: minimum 5 years of professional experience in production environments, emphasising performance optimisation and code quality.
• Ingestion and modelling: 
  • Experience with Python and orchestration tools like Airflow is beneficial.
• SQL Proficiency: advanced knowledge of SQL:
  • At least one of PostgreSQL, MySQL, MSSQL
  • Ability to write complex queries and optimise database performance
  • Utilise DPT tools.
• Infrastructure as Code: experience with Terraform or equivalent tools to facilitate code-controlled infrastructure management.
• Cloud Experience: over 3 years of hands-on experience with cloud providers, specifically:
  • AWS or GCP is acceptable
  • Azure is highly preferred due to project-specific requirements.
• English – Upper-Intermediate or Advanced.
• Ukrainian language Advanced or higher.

• Education: advanced degree (Master’s or Ph.D.) in Data Science, Statistics, Computer Science, Engineering, or a related field.

   

Nice to have:

• Data Pipeline Design: Strong understanding of designing robust and scalable data pipelines for large-scale applications.
• Version Control and CI/CD: Familiarity with Git-based workflows and continuous integration/deployment practices to ensure seamless code integration and deployment processes.
• Communication Skills: Ability to articulate complex technical concepts to technical and non-technical stakeholders alike.
• Experience with programming: Python, PySpark, DPT, SQLMesh (optional), PostgreSQL, MySQL, MSSQL, Terraform

• Hands on experience with tools and technologies: Git, Azure DevOps, JIRA, Confluence

   

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

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

The product of our client stands at the forefront of advanced threat detection and response, pioneering innovative solutions to safeguard businesses against evolving cybersecurity risks. It is a comprehensive platform that streamlines security operations, empowering organizations to swiftly detect, prevent, and automate responses to advanced threats with unparalleled precision and efficiency.

About the Role

We are looking for a proactive, innovative, and responsible Senior Big Data Engineer with extensive knowledge and experience with GoLang streaming and batching processes, building DWH from scratch. Join our high-performance team to work with cutting-edge technologies in a dynamic and agile environment.

Key Responsibilities: 

• Design & Development: Architect, develop, and maintain robust distributed systems with complex requirements, ensuring scalability and performance.
• Collaboration: Work closely with cross-functional teams to ensure the seamless integration and functionality of software components.
• System Optimization: Implement and optimize scalable server systems, utilizing parallel processing, microservices architecture, and security development principles.
• Database Management: Effectively utilize SQL, NoSQL, Kafka/Pulsar, ELK, Redis and column store databases in system design and development.
• Big Data Tools: Leverage big data tools such as Spark or Flink to enhance system performance and scalability(experience with these tools is advantageous).
• Deployment & Management: Demonstrate proficiency in Kubernetes (K8S) and familiarity with GTP tools to ensure efficient deployment and management of applications.

Required Competence and Skills:

• At least 5 years of experience in Data Engineering domain
• At least 2 years of experience with GoLang
• Proficiency in SQL, NoSQL, Kafka/Pulsar, ELK, Redis and column store databases
• Experienced with big data tools such as Spark or Flink to enhance system performance and scalability
• Proven experience with Kubernetes (K8S) and familiarity with GTP tools to ensure efficient deployment and management of applications.
• Ability to work effectively in a collaborative team environment
• Excellent communication skills and a proactive approach to learning and development

Advantages:

• Experience in data cybersecurity domain
• Experience in startup growing product

Why Us

We utilize a remote working model, providing a powerful workstation and co-working space of your choice in case you need it .

We offer a highly competitive package

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

We prioritize the professional growth and well-being of our team members. Hence, we organize various social events throughout the year to foster connections and promote wellness

We are seeking a skilled Data Engineer to join our team and contribute to the development of large- scale analytics platforms. The ideal candidate will have strong experience in cloud ecosystems such as Azure and AWS, as well as expertise in AI and machine learning applications. Knowledge of the healthcare industry and life sciences is a plus.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines for large-scale analytics platforms.
• Implement cloud-based solutions using Azure and AWS, ensuring reliability and performance.
• Work closely with data scientists and AI/ML teams to optimize data workflows.
• Ensure data quality, governance, and security across platforms.
• Collaborate with cross-functional teams to integrate data solutions into business processes.

Required Qualifications

• Bachelor's degree (or higher) in Computer Science, Engineering, or a related field.
• 3+ years of experience in data engineering, big data processing, and cloud-based architecture.
• Strong proficiency in cloud services (Azure, AWS) and distributed computing frameworks.
• Mandatory hands-on experience with Databricks (UC, DLTs, Delta Sharing, etc.)
• Expertise in SQL and database management systems (SQL Server, MySQL, etc.).
• Experience with data modeling, ETL processes, and data warehousing solutions.
• Knowledge of AI and machine learning concepts and their data requirements.
• Proficiency in Python, Scala, or similar programming languages.
• Basic knowledge of C# and/or Java programming.
• Familiarity with DevOps, CI/CD pipelines.
• High-level proficiency in English (written and spoken).

Preferred Qualifications

• Experience in the healthcare or life sciences industry.
• Understanding of regulatory compliance related to healthcare data (HIPAA, GDPR, etc.).
• Familiarity with interoperability standards such as HL7, FHIR, and EDI.

Dataforest is looking for a Data Engineer to join an interesting software development project in the field of water monitoring. Our EU client’s platform offers full visibility into water quality, compliance management, and system performance. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

Key Responsibilities:
- Create and manage scalable data pipelines with Azure SQL and other databases;
- Use Azure Data Factory to automate data workflows;
- Write efficient Python code for data analysis and processing;
- Ability to develop data reports and dashboards using PowerBI;
- Use Docker for application containerization and deployment streamlining;
- Manage code quality and version control with Git.

Skills requirements:
- 3+ years of experience with Python;
- 2+ years of experience as a Data Engineer;
- Strong SQL knowledge, preferably with Azure SQL experience;
- Python skills for data manipulation;
- Expertise in Docker for app containerization;
- Familiarity with Git for managing code versions and collaboration;
- Upper- intermediate level of English.

Optional skills (as a plus):
- Experience with Azure Data Factory for orchestrating data processes;
- Experience developing APIs with FastAPI or Flask;
- Proficiency in Databricks for big data tasks;
- Experience in a dynamic, agile work environment;
- Ability to manage multiple projects independently;
- Proactive attitude toward continuous learning and improvement.

We offer:

- Great networking opportunities with international clients, challenging tasks;

- Building interesting projects from scratch using new technologies;

- Personal and professional development opportunities;

- Competitive salary fixed in USD;

- Paid vacation and sick leaves;

- Flexible work schedule;

- Friendly working environment with minimal hierarchy;

- Team building activities and corporate events.

Simulmedia is looking for an experienced and dynamic Data Engineer with a curious and creative mindset to join our Data Services team. The ideal candidate will have a strong background in Python, SQL and Rest API development. This is an opportunity to join a team of amazing engineers, data scientists, product managers and designers who are obsessed with building the most advanced streaming advertising platform in the market. As a Data Engineer you will build services and data processing systems to support our platform. You will work on a team that empowers the other teams to use our huge amount of data efficiently. Using a large variety of technologies and tools, you will solve complicated technical problems and build solutions to make our services robust and flexible and our data easily accessible throughout the company.

Only for candidates from Ukraine. This position is located in either Kyiv or Lviv, Ukraine. The team is located in both Kyiv and Lviv and primarily works remotely with occasional team meetings in our offices.

Responsibilities:

• Build products that leverage our data and solve problems that tackle the complexity of streaming video advertising
• Develop containerized applications, largely in Python, that are deployed to the Cloud
• Work within an Agile team that releases cutting-edge new features regularly
• Learn new technologies, and make an outsized impact on our industry-leading tech platform
• Take a high degree of ownership and freedom to experiment with new technologies to improve our software
• Develop maintainable code and fault tolerant solutions
• Collaborate cross-functionally with product managers and stakeholders across the company to deliver on product roadmap
• Join a team of passionate engineers in search of elegant solutions to hard problems

Qualifications:

• Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 7+ years of work experience as a data engineer
• Proficiency in Python and using it as the primary development language in recent years
• Proficiency in SQL and relational databases (Postgres, MySQL, etc)
• Ability to design complex data models (normalized and multi-dimensional)
• Experience building REST services (Flask, Django, aio-http, etc)
• Experience developing, maintaining, and debugging problems in large server-side code bases
• Good knowledge of engineering best practices and testing (unit test, integration test)
• The desire to take a high level of ownership of the things you work on
• Ability to learn new things quickly, maintain a high bar for quality, and be pragmatic
• Must be able to communicate with U.S based teams
• Experience with AWS is a plus
• Ability to work 11 am — 8 pm EEST

Our Tech Stack:

• Almost everything we run is on AWS
• We mostly use Python, Ruby and Go
• For data, we mostly use Postgres and Redshift

We are a forward-thinking software development company, known for our proprietary core platform and its integral components — Sportsbook, CRM, Risk Management, Antifraud, Bonus Engine, and Retail Software Suite.
Join our team to be part of pioneering solutions that not only streamline the work of thousands of employees in every department but also significantly boost profits and elevate product quality.
Your role with us is a key part of a team shaping the future of software solutions in an impactful and dynamic environment.

Your role with us is a key part of a team shaping the future of software solutions in an impactful and dynamic environment.

Requirements:

• 3+ years of professional experience as a Data Engineer or in a similar role.
• Expert-level proficiency in Python for data processing, scripting, and automation.
• Strong experience with AWS services (S3, Redshift, Glue, Lambda, etc.).
• Deep understanding of database technologies (SQL and NoSQL systems, data modeling, performance tuning).
• Experience with ETL/ELT pipeline design and development.
• Strong understanding of data warehousing concepts and best practices.
• Familiarity with version control systems like Git and CI/CD pipelines.

• Excellent problem-solving skills and the ability to work independently.

   

Responsibilities:

• Design, build, and maintain robust data pipelines and ETL/ELT processes.
• Optimize data systems and architecture for performance and scalability.
• Collaborate with data scientists, analysts, and other engineers to meet organizational data needs.
• Implement and manage data security and governance measures.
• Develop and maintain data documentation and ensure data quality standards are met.
• Lead data architecture discussions and make strategic recommendations.

• Monitor and troubleshoot data pipeline issues in production environments.

   

Nice to have:

• Knowledge of streaming platforms such as Kafka or AWS Kinesis.
• Familiarity with machine learning workflows and model deployment.

• Previous experience in a leadership or mentorship role.

   

Work Conditions:

• Vacation: 22 working days per year
• Sick leave: 5 paid days per year
• Sick lists: 100% paid with medical certificate up to 10 days per year

• Benefit cafeteria personal limit for health support

   

Join our passionate and talented team and be at the forefront of transforming the iGaming industry with groundbreaking live tech solutions. If you’re a visionary professional eager to shape the future of iGaming, Atlaslive invites you to apply and drive our continued success in this dynamic market.

Atlaslive — The Tech Behind the Game.

*All submitted resumes undergo a thorough review. If we do not contact you within 5 business days after your application, it means that we are unable to proceed with your candidacy at this time. However, we appreciate your interest in our company and will keep your contact details on file for future opportunities.