Jobs

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 are seeking a skilled Big Data Engineer to become an essential part of this forward-looking and dynamic team.

In this role, you will leverage advanced cloud technologies to deliver impactful solutions.

Responsibilities

• Build scalable, cloud-based systems in Azure using tools like Azure Data Factory, Azure Data Lake Storage, and Databricks to enhance seamless, high-performance data pipelines
• Migrate on-premises MS SQL databases to Azure Data Lake, utilizing the Delta Lake format to optimize operational performance
• Develop interfaces that connect non-Microsoft proprietary applications, enabling interoperability and unlocking valuable data insights
• Provide expertise in Data Lakes, Data Warehouses (DWH), and Delta Lakehouse architectures to guide transformative business solutions
• Assess new feature proposals, prioritize them based on business value, and collaborate to make impactful product development decisions
   

Requirements

• Expertise in Azure Data Services, including Data Factory, Data Lake Storage, and Databricks
• Strong SQL skills with experience in Python, Scala, or C# (versatility is highly valued)
• Background in working with Agile or XP methodologies, thriving in fast-moving, adaptive environments
• Good English communication skills (Upper-Intermediate/B2+ or higher) to engage effectively with diverse teams and stakeholders

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.

N-iX is looking Senior Data Engineer to join our skilled and continuously growing team! The position is for our fintech customer from Europe. The person would be a part of the customer’s Data Platform team - a key function within the company, responsible for the architecture, development, and management of our core data infrastructure. We leverage Snowflake, Looker, Airflow (MWAA), and dbt while managing DevOps configurations for the platform. Our goal is to build and maintain a self-serve data platform that empowers stakeholders with tools for efficient data management while ensuring security, governance, and compliance standards.
 

Requirements:

• 6+ years of experience in Data Engineering.
• Strong proficiency in Airflow, Python, and SQL.
• Hands-on experience with cloud data warehouses (Snowflake or equivalent).
• Solid understanding of AWS services and Kubernetes at an advanced user level.
• Familiarity with Data Quality and Observability best practices.
• Ability to thrive in a dynamic environment with a strong sense of ownership and responsibility.
• Analytical mindset and problem-solving skills for tackling complex technical challenges.
• Bachelor's in Mathematics, Computer Science,e or other relevant quantitative fields
   

Nice-to-Have Skills:

• Experience with DevOps practices, CI/CD, and Infrastructure as Code (IaC).
• Hands-on experience with Looker or other BI tools.
• Performance optimization of large-scale data pipelines.
• Knowledge of metadata management and Data Governance best practices.
   

Responsibilities:

• Design and develop a scalable data platform to efficiently process and analyze large volumes of data using Snowflake, Looker, Airflow, and dbt.
• Enhance the self-serve data platform by implementing new features to improve stakeholder access and usability.
• Work with cross-functional teams to provide tailored data solutions and optimize data pipelines.
• Foster a culture of knowledge sharing within the team to enhance collaboration and continuous learning.
• Stay updated on emerging technologies and best practices in data engineering and bring innovative ideas to improve the platform.

Requirements: 

• Develop and maintain data pipelines and ETLs. 

• Support the development and maintenance of data visualization solutions for the developed data products. 

• Build and maintain cloud infrastructure for multiple solutions using various AWS services through AWS CDK written in Python. 

• Build reusable components for multiple solutions. 

• Design, build, and implement data quality checks. 

• Gather and translate business requirements into technical requirements. 

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

On behalf of our Client, a well-established financial institution from the Caribbean region Mobilunity is looking for a Data Engineer. 

Our Client is the largest bank in the Caribbean region that serves 14 countries/territories. The aim is to make this organization from a traditional bank into a new era of fintech, working on the edge of what current fintech may offer.

Requirements:

• Experience with ETL/ELT
• Proficiency in Glue and Spark
• Strong programming skills in Python and SQL
• Hands-on experience with MWAA / Airflow
• Good understanding of AWS Basics (IAM, S3)
• Experience working with Aurora and PostgreSQL
• Knowledge of Kafka / MSK, including Kafka Connect and Debezium
• Familiarity with Lake Formation
• Experience using Glue Data Catalog
• Solid understanding of data modeling principles
• Experience with Glue Streaming

• Level of English – Upper-Intermediate and higher

   

Nice to have:

• Previous experience working in the fintech industry

🐳In return we offer:

• The friendliest community of like-minded IT-people
• Open knowledge-sharing environment – exclusive access to a rich pool of colleagues willing to share their endless insights into the broadest variety of modern technologies
• Perfect office location in the city-center (900m from Lukyanivska metro station with a green and spacious neighborhood) or remote mode engagement: you can choose a convenient one for you, with a possibility to fit together both
• No open-spaces setup – separate rooms for every team’s comfort and multiple lounge and gaming zones 
• Neverending fun: sports events, tournaments, music band, multiple affinity groups
   

🐳 Come on board, and let’s grow together! 🐳

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.

We are looking for an experienced Data Engineer to design and maintain robust data infrastructure across our systems. In this role, you will be responsible for building scalable data pipelines, ensuring data integrity, and integrating third-party data sources. Your primary focus will be to enable efficient data flow and support analytical capabilities across the organization. You will also contribute to the development of our data architecture, implement best engineering practices, and collaborate closely with cross-functional teams to turn raw data into actionable insights.

Responsibilities

• Communicate with both technical and non-technical audiences to gather requirements
• Review and analyze data and logic to ensure consistency and accuracy
• Design, implement, and maintain data pipelines for efficient data flow
• Integrate and  support of developed solutions
• Research and evaluate third-party components for potential use
• Follow best engineering practices: refactoring, code review, testing, continuous delivery, and Scrum
• Design, optimize, and support of data storage

Requirements

• At least 5+ years of experience in data engineering
• Experience in requirement gathering and communication with stakeholders
• Strong knowledge of DWH (data warehouse) architecture and principles
• Practical experience building ETL pipelines and designing data warehouses
• Deep experience with Python with a strong focus on PySpark
• Proficiency in SQL and databases such as PostgreSQL, ClickHouse, MySQL
• Hands-on experience with data scraping and integrating third-party sources and APIs
• Solid understanding of software design patterns, algorithms, and data structures
• Intermediate English proficiency

Will be a plus

• Experience with RabbitMQ or Kafka
• Understanding of web application architecture
• Familiarity with DataOps practices
• Background in FinTech or Trading domains

We offer

• Tax expenses coverage for private entrepreneurs in Ukraine
• Expert support and guidance for Ukrainian private entrepreneurs
• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company's approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

The client is seeking an experienced Data Engineer to build and migrate data solutions to Google Cloud Platform (GCP) in support of data analytics and ML/AI initiatives.

Key responsibilities:

• Develop data products on GCP using BigQuery and DBT
• Integrate data from multiple sources using Python and Cloud Functions
• Orchestrate pipelines with Terraform and Cloud Workflows
• Collaborate with Solution Architects, Data Scientists, and Software Engineers

Tech stack:
GCP (BigQuery, Cloud Functions, Cloud Workflows), DBT, Python, Terraform, Git

Requirements:
Ability to work independently and within cross-functional teams; 
Strong hands-on experience;
English: Upper Intermediate or higher

Nice to have:
Experience with OLAP cubes and PowerBI

Job Description

Strong experience in design, building, and maintaining data pipelines using Databricks Workflows for data ingestion and transformation using PySpark
Design, create and maintain data pipelines that leverage Delta tables for efficient data storage and processing within a Databricks environment
Experience with Unity Catalog
Experience with RDBMS, such as MS SQL or MySQL, as well as NoSQL
Data modeling and schema design
Proven understanding and demonstrable implementation experience in Azure (Databricks + Key Vault + ADLS Gen 2)
Excellent interpersonal and teamwork skills
Strong problem-solving, troubleshooting and analysis skills
Good knowledge of Agile Scrum

MAST HAVE SKILLS

Databricks, PySpark, MS SQL, ADLS Gen 2, Unity Catalog

Job Responsibilities

Responsible for the design and implementation of key components in the system.
Takes ownership of features, leads design decisions
Peer-review the code and provide constructive feedback
Takes part in defining technical strategies and best practices for the team
Assists with backlog refinement and estimation at story level
Identifies and resolves bottlenecks in the development process (such as performance bottlenecks)
Solves complex tasks without supervision.

Department/Project Description

GlobalLogic is searching for a motivated, results-driven, and innovative engineer to join our project team at a dynamic startup specializing in pet insurance. Our client is a leading global holding company that is dedicated to developing an advanced pet insurance claims clearing solution designed to expedite and simplify the veterinary invoice reimbursement process for pet owners.
You will be working on a cutting-edge system built from scratch, leveraging Azure cloud services and adopting a low-code paradigm. The project adheres to industry best practices in quality assurance and project management, aiming to deliver exceptional results.
We are looking for an engineer who thrives in collaborative, supportive environments and is passionate about making a meaningful impact on people's lives. If you are enthusiastic about building innovative solutions and contributing to a cause that matters, this role could be an excellent fit for you.

Our long-standing client from the UK is looking for a Senior Data Engineer 

Project: Decommissioning legacy software and systems

Tech stack:
DBT, Snowflake, SQL, Python, Fivetran

Requirements:

• Solid experience with CI/CD processes in SSIS
• Proven track record of decommissioning legacy systems and migrating data to modern platforms (e.g., Snowflake)
• Experience with AWS (preferred) or Azure
• Communicative and proactive team player — able to collaborate and deliver
• Independent and flexible when switching between projects
• English: Upper Intermediate or higher

NuxGame works with iGaming operators of all scales helping companies access new markets or enhance their existing brands. As a casino gaming software company, NuxGame provides solutions that allow building outstanding brands and fulfilling your business goals.We are looking for a Data Engineer\Data Analyst to join our team.

Responsibilities
 

• Design, build, and maintain robust data pipelines for large-scale processing.
• Develop and optimize ETL workflows and data ingestion from various sources (DBs, APIs, event streams).
• Create and maintain data models and schemas tailored for analytics and reporting.
• Collaborate with analysts and business teams to understand reporting needs and deliver automated dashboards.
• Build high-quality reports and dashboards using BI tools.
• Own and ensure data quality, consistency, and freshness.
• Implement data security best practices, access controls, and data governance.
• Improve and monitor data infrastructure performance (e.g., ClickHouse, BigQuery).
• Work with event-based data (web tracking) to enable product and marketing analytics.
• Collaborate closely with DevOps and Engineering to deploy and scale data solutions.

• Investigate new technologies and tools to enhance our data ecosystem.

   

Experience:
 

• 3+ years of experience as a Data Analyst, Data Engineer, or in a hybrid role.
• Solid knowledge of SQL and experience with NoSQL databases.
• Proven experience building data pipelines and ETL processes from scratch.
• Hands-on experience with modern Data Warehouses (e.g., ClickHouse, BigQuery, Snowflake).
• Familiarity with workflow orchestration tools like Airflow, dbt, or similar.
• Experience working with event-based data (e.g., user behavior tracking).
• Proficiency in Python for data manipulation and transformation.
• Experience building custom data connectors or integrating APIs.
• Strong knowledge of BI tools — especially Tableau, Power BI, or similar.
• Understanding of cloud platforms (GCP, AWS, or Azure).

• Familiarity with Git, Docker, and containerized environments.

   

Nice to have:
 

• Experience working in the gambling or betting industry — or deep interest in gaming data.
• Practical knowledge of ClickHouse Cloud, ClickPipes, and related tools.
• Exposure to data streaming platforms (e.g., Apache Kafka).
• Understanding of DevOps and automation pipelines.

• Bachelor's degree in Computer Science, Data Science, Math, or a related field.

   

What We Offer:
 

• Work Format: Remote work format.
• Working Hours: Typically 09:00/10:00 to 17:00/18:00 (Kyiv time) (Monday-Friday).
• Compensation: Timely payment of competitive wages (salary).
• Employment: Official employment.
• Leave: 24 days of vacation annually.
• Team Environment: A friendly team and pleasant atmosphere without pressure or stress; open and democratic work organization.
• Projects: Interesting work on successful projects within the dynamic iGaming sector

We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.

The future of Web3 starts with you: join us as a Data Engineer/Analyst!

Requirements

— 3+ years of experience as a Data Analyst / Quant Analyst / Risk Analyst.
— Strong proficiency in Python (pandas, numpy, pyarrow, SQLAlchemy).
— Deep knowledge of SQL (analysis, aggregation, window functions).
— Experience with BI tools (Tableau, Grafana).
— Scripting experience in Python for automation and report integration.
— Solid understanding of trading principles, margining, VaR, and risk models.
— Proven ability to work with large-scale datasets (millions of rows, low-latency environments).
— Experience working with technical teams to deliver business-oriented analytics.

Responsibilities

— Build and maintain analytics for PnL, risk, and positions.
— Monitor key performance and risk metrics.
— Develop and optimize ETL/ELT pipelines (both batch and real-time).
— Configure and enhance BI dashboards (Tableau, Grafana).
— Support alerts and anomaly detection mechanisms.
— Work with internal databases, APIs, and streaming data pipelines.
— Collaborate closely with risk, engineering, and operations teams.
— Contribute to the development of the analytics platform: from storage to visualization.

Work conditions

Immerse yourself in Crypto & Web3:
— Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
— Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
— Gain unique experience and be part of global transformations.
Drive Innovations:
— Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
— Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
— Modern equipment.
— Comfortable working conditions, and an inspiring environment to help you thrive.
— 30 calendar days of paid leave.
— Additional days off for national holidays.

With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career!
Let’s Build the Future Together!

WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.

Dataforest is seeking an experienced Senior Data Engineer to join our dynamic team. You will be responsible for developing and maintaining data-processing architecture, as well as optimizing and monitoring our internal systems.
Requirements:
- 3+ years of commercial experience with Python.

- Experience working with PostgreSQL databases.
- Profound understanding of algorithms and their complexities, with the ability to analyze and optimize them effectively.
- Solid understanding of ETL principles and best practices.
- Excellent collaborative and communication skills, with demonstrated ability to mentor and support team members.
- Experience working with Linux environments, cloud services (AWS), and Docker.
- Strong decision-making capabilities with the ability to work independently and proactively.

Will be a plus:
- Experience in web scraping, data extraction, cleaning, and visualization.
- Understanding of multiprocessing and multithreading, including process and thread management.
- Familiarity with Redis.
- Excellent programming skills in Python with a strong emphasis on optimization and code structuring.
- Experience with Flask / Flask-RESTful for API development.
- Knowledge and experience with Kafka.

Key Responsibilities:
- Develop and maintain a robust data processing architecture using Python.
- Design and manage data pipelines using Kafka and SQS.
- Optimize code structure and performance for maximum efficiency.
- Design and implement efficient ETL processes.
- Analyze and optimize algorithmic solutions for better performance and scalability.
- Collaborate within the AWS stack to ensure flexible and reliable data processing systems.
- Provide mentorship and guidance to colleagues, fostering a collaborative and supportive team environment.
- Independently make decisions related to software architecture and development processes to drive the project forward.

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.