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.

Requirements

- 7+ years experience in data engineering, data platforms & analytics - - 

- Completed Data Engineering Professional certification & required classes

- Minimum 6-8+ projects delivered with hands-on experience in development on databricks 

- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with deep expertise in at least one 

- Deep experience with distributed computing with Spark with knowledge of Spark runtime internals 

- Familiarity with CI/CD for production deployments 

- Current knowledge across the breadth of Databricks product and platform features

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

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.

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!

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.

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

Our partner is a leading technology company transforming the way investigations are done with smart tools that help teams collect, analyze, and use data effectively. Their AI-powered platform simplifies case management, data visualization, and reporting, making it a valuable solution for industries like law enforcement, financial investigations, and cyber threat intelligence. With deep expertise in business intelligence and data, they help organizations make faster and better decisions. They are focused on innovation and collaboration, creating a positive and dynamic workplace.

You'll collaborate closely with the team of engineers and data wizards to develop solutions that make a tangible impact in the world of security. Join a team that pushes boundaries, embraces challenges, and has a great time doing it.

P.S. Being the first to uncover hidden insights in data? Just one of the perks 😉.

Required Skills

• 2.5+ years of experience in data engineering or software development
• Experience with Python scripting
• Upper-Intermediate level of English
• Ready to collaborate with remote team
• Strong problem-solving abilities and attention to detail

• Can-do attitude

   

Will be a Bonus

• Familiarity with integrating APIs and handling various data sources
• Ability to anticipate and handle multiple potential edge cases related to data consistency

Your Day-to-Day Responsibilities Will Include

• Researching and analyzing various APIs and data sources
• Integrating new data sources into existing system for seamless data flow
• Collaborating closely with the team to define and implement data solutions
• Identifying and addressing multiple potential edge cases in data integration
• Planning your work, estimating effort, and delivering on deadlines

We Offer

📈 Constant professional growth and improvement:

• Challenging projects with cutting-edge technologies
• Close cooperation with clients and industry leaders
• Support for personal development and mentorship

😄 Comfortable, focused work environment:

• Remote work encouraged and supported
• Minimal bureaucracy
• Flexible schedule
• High-quality hardware provided

And, of course, all the traditional benefits you'd expect in the IT industry.

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.

In Competera, we are building a place where optimal pricing decisions can be made easily. We believe that AI technologies will soon drive all challenging decisions and are capable of helping humans be better.
We are now looking for a Data Engineer to improve our data processing pipelines from performance, cost and correctness standpoints.
You could be a perfect match for the position if

You want to:

• Migrate BigQuery workloads to Spark 3.5 on Databricks.
  Re-engineer our daily-TB batch jobs into Delta Lake pipelines that run faster and cost less.
• Turn full reloads into true incremental processing.
  Build CDC / MERGE logic so we scan only the data that changed and deliver fresh features within minutes.
• Add quality gates & observability from day one.
  Instrument every stage with custom metrics, data-drift alerts and cost reports the product team can read.
• Set up monitoring & slot-second cost dashboards.
  Expose processing-time, SLA and $-per-feature charts so we can make data-driven trade-offs.
• Pair with Data Scientists and Product Managers. 
  Work side-by-side with Data Scientists and Product Managers from idea to release, instead of simply passing datasets back and forth.
• Continuously tune for scale.
  Dozens of terabytes move through the platform daily; you’ll experiment with partitioning, Z-ORDER, and Photon to keep latency low as volume grows.

You have: 

• 3+ years of experience in data engineer role.
• Strong knowledge of SQL, Spark, Python, Airflow, binary file formats. 
• English level - Upper-intermediate +.

Pleasant extras:

• Databricks, GCP, BigQuery, Kafka, data modeling patterns, data quality approaches and tools.

Soft skills:

• Product mindset.
• Ability to work in a fast-paced environment.
• Willingness to take ownership of a feature and guide it through all stages of the development lifecycle.
• Proactivity, openness, desire to dive deep into the domain and learn new approaches and tools
   

You’re gonna love it, and here’s why:
 

• Rich innovative software stack, freedom to choose the best suitable technologies.
• Remote-first ideology: freedom to operate from the home office or any suitable coworking.
• Flexible working hours (we start from 8 to 11 am) and no time tracking systems on.
• Regular performance and compensation reviews.
• Recurrent 1-1s and measurable OKRs.
• In-depth onboarding with a clear success track.
• Competera covers 70% of your training/course fee.
• 20 vacation days, 15 days off, and up to one week of paid Christmas holidays.
• 20 business days of sick leave.
• Partial medical insurance coverage.

Drive innovations with us. Be a Competerian.

Project

Toshiba is the global market share leader in retail store technology. As retail’s first choice for integrated in-store solutions, Toshiba’s innovative technology enhances customer engagement, transforms in-store experience, and accelerates the digital transformation of the retail industry. Today, Toshiba is in a position wherein it defines dominating practices of retail automation and advances the future of retail.

The product is aimed at comprehensive retail chain automation and covers all work processes of large retail chain operators. The product covers retail store management, warehouse management, payment systems integration, logistics management, hardware/software store automation, etc.
The product is already adopted by the market, and the biggest US and global retail operators are among the clients.

Technology Stack

Azure Databricks, Apache Spark (PySpark) , Delta Lake , ADF , Synapse , Python ,SQL, Power BI, MongoDB/CosmosDB, PostgreSQL, Terraform, Jenkins

What you will do

We are looking for an experienced Azure Databricks Engineer to join our team and contribute to building and optimizing large-scale data solutions. You will be responsible for working with Azure Databricks and Power BI , writing efficient Python and SQL scripts, and optimizing data workflows to ensure performance and scalability, building meaningful reports.

Must-have skills

• Bachelor’s or Master’s degree in Data Science, Computer Science or related field.
• 3+ years of experience as a Data Engineer or in a similar role.
• Proven experience in data analysis, data warehousing, and data reporting.
• Proven experience in Azure Databricks ( python, pytorch), Azure infrastructure
• Experience with Business Intelligence tools like Power BI.
• Proficiency in querying languages like SQL.
• Strong problem-solving skills and attention to detail.
• Proven ability to translate business requirements into technical solutions.

Nice-to-have skills

• Knowledge and experience in e-commerce/retail