Jobs Data Engineer

Introduct Group is an international technology company delivering tailored software solutions and digital products for businesses worldwide. We work on complex, large-scale projects across multiple industries, helping clients build reliable, scalable, and secure systems.

Our company participates in a variety of projects across the Middle East, including the UAE, Saudi Arabia, and Oman, working with both government institutions and private sector clients.

We are currently looking for an experienced Data Engineer with Oracle experience to join an international project focused on modernizing data infrastructure and migrating an existing Data Warehouse environment to an Oracle Exadata platform.

The role involves long-term business trips or partial relocation to Oman.

Requirements

    •    5+ years of experience as a Data Engineer or working with data platforms

    •    Strong experience with Oracle databases (development, optimization, or administration)

    •    Experience with ETL processes and tools

    •    Experience with Pentaho or similar ETL solutions

    •    Experience working with large-scale data environments

    •    Understanding of data modeling principles (DWH concepts, schemas)

    •    Experience with database monitoring and performance optimization

    •    Basic understanding of networking concepts

    •    Strong troubleshooting and analytical skills

    •    English level: Upper-Intermediate or higher

Responsibilities

    •    Analyze the existing Oracle-based data environment, including data flows and dependencies

    •    Design and implement data pipelines for data migration and transformation

    •    Participate in the migration of Data Warehouse solutions to Oracle Exadata

    •    Develop, optimize, and maintain ETL processes

    •    Ensure data quality, consistency, and reliability across systems

    •    Monitor data pipelines and optimize performance of data processing workflows

    •    Collaborate with infrastructure and backend teams to ensure proper data integration

    •    Troubleshoot and resolve data-related issues in production environments

Nice to have

    •    Experience working with Oracle Exadata

    •    Experience with large-scale Data Warehouse (DWH) environments

    •    Experience with data migration projects

    •    Experience working with legacy data systems

    •    Basic knowledge of Linux administration

What we offer

    •    Competitive salary

    •    Participation in an international enterprise project

    •    Participation in a large-scale, national-level government project

    •    Business trips to Oman or partial relocation for on-site collaboration with the client and project team

    •    Accommodation provided

    •    Transportation cost compensation

We are looking for a Senior Data Engineer. This is not a standard ETL role. You will work on a high-load system processing 10,000+ executions per minute, building scalable pipelines where AI and LLM logic are embedded directly into production data flows.

The role combines data engineering, backend thinking, infrastructure ownership, and real production AI integration.

What you will do:

• Design and maintain scalable data pipelines in Python on Google Cloud Platform
• Build and optimize AI-driven scoring flows using LLMs for real-time identity enrichment
• Work with BigQuery, Apache Spark, and Apache Iceberg for heavy data processing
• Maintain high-load orchestration with custom Python nodes and complex workflows
• Own deployment and release processes (CI/CD)
• Optimize PostgreSQL performance under heavy load
• Investigate incidents and resolve root causes permanently

• Use AI engineering tools such as Claude in daily development

   

Requirements:

• 4+ years of experience in Data Engineering / Backend Engineering
• Strong Python skills
• Commercial experience with production LLM integration (OpenAI / Anthropic / Gemini)
• Strong knowledge of GCP (Cloud Functions, IAM, Networking)
• Experience with BigQuery, Spark, Iceberg
• Good understanding of Kubernetes
• Experience with workflow orchestration tools (n8n is a strong plus)
• Strong practical knowledge of PostgreSQL

• English level B2+

   

What is important for us:

• Ownership mindset
• Fast learning ability
• Strong problem-solving approach
• Active AI usage in engineering work
• Focus on practical results over unnecessary complexity

We are looking for a Senior Data Engineer who can design, implement, and evolve scalable data systems in AWS.

Core Responsibilities
 

• Design and implement batch and streaming data pipelines using Apache Spark.
• Build and evolve a scalable AWS-based data lake architecture.
• Develop and maintain real-time data processing systems (event-driven pipelines).
• Own performance tuning and cost optimization of Spark workloads.
• Define best practices for data modeling, partitioning, and schema evolution.
• Implement monitoring, observability, and data quality controls.
• Contribute to infrastructure automation and CI/CD for data workflows.
• Participate in architectural decisions and mentor other engineers.

Required Qualifications
 

• 5+ years of experience in Data Engineering.
• Strong hands-on experience with Apache Spark (including Structured Streaming).
• Experience building both batch and streaming pipelines in production environments.
• Proven experience designing AWS-based data lake architectures: S3, EMR, Glue, Athena.
• Experience with event streaming platforms such as Apache Kafka or Amazon Kinesis.
• Experience implementing lakehouse formats such as Delta Lake.
• Strong understanding of partitioning strategies and schema evolution.
• Experience using SparkUI and AWS CloudWatch for profiling and optimization.
• Strong understanding of Spark performance tuning (shuffle, skew, memory, partitioning).
• Proven track record of cost optimization in AWS environments.
• Experience with Docker and CI/CD pipelines.
• Experience with Infrastructure as Code: Terraform, AWS CDK.
• Familiarity with monitoring and observability practices.
• Experience in the Financial domain.
• Experience running Spark workloads on Kubernetes.
• Experience implementing data quality frameworks or metadata/lineage systems.

Kyivstar is looking for Azure Data Engineer (Developer) to drive different life cycles of large systems. The Data Lifecycle Engineer will have opportunity to help customers realize their full potential through accelerated adoption and productive use of Microsoft Data and AI technologies.

Requirements:

— 3+ years of technical expertise in Database development (preferably with SQL, including Azure SQL) – designing and building database solutions (tables / stored procedures / forms / queries / etc.);

— Business intelligence knowledge with a deep understanding of data structure / data models to design and tune BI solutions;

— Advanced data analytics – designing and building solutions using technologies such as Databricks, Azure Data Factory, Azure Data Lake, HD Insights, SQL DW, stream analytics, machine learning, R server;

— Data formats knowledge and the differences between them;

— Experience with Hadoop stack;

— Experience with RDBMS and/or NoSQL;

— Experience with Kafka;

— Experience with Java and/or Scala and/or Python;

— Knowledge of version control system: git or bitbucket;

— BI Tools experience (PowerBI); 

— Background in test driven development, automated testing and other software engineering best practices (e.g., performance, security, BDD, etc.);

— Docker/Kubernetes paradigm understanding;

— English – strong intermediate;

— Microsoft Certified is a plus.

Responsibility:

— Developing ETL flows based on Azure Cloud stack technology: such as Databricks, Azure Data Factory, Azure Data Lake, HD Insights, SQL DW, stream analytics, machine learning, R server;

— Troubleshooting and performance optimization for data processing flows, data models;

— Build and maintain reporting, models, dashboards.

We offer:

— A unique experience of working the most customers beloved and largest mobile operator in Ukraine;

— Real opportunity to ship digital products to millions of customers;

— To contribute into building the biggest analytical cloud environment in Ukraine;

— To create Big Data/AI products, changing the whole industry and influencing Ukraine;

— To be involved in real Big Data projects with Petabytes of data and Billions of events daily processed in Real-time;  

— A competitive salary;

— Great possibilities for professional development and career growth;

— Medical insurance;

— Life insurance;

— Friendly & Collaborative Environment.

Biosphere Corporation is one of the largest producers and distributors of household, hygiene, and professional products in Eastern Europe and Central Asia (TM Freken BOK, Smile, Selpak, Vortex, Novita, PRO service, and many others). We are inviting an IT Infrastructure Administrator to join our team.

Key responsibilities:

• Administration of Active Directory
• Managing group policies
• Managing services via PowerShell
• Administration of VMWare platform
• Administration of Azure Active Directory
• Administration of Exchange 2016/2019 mail servers
• Administration of Exchange Online
• Administration of VMWare Horizon View

We offer:

• Interesting projects and tasks
• Competitive salary (discussed during the interview)
• Convenient work schedule: Mon–Fri, 9:00–18:00; partial remote work possible
• Official employment, paid vacation, and sick leave
• Probation period — 2 months
• Professional growth and training (internal training, reimbursement for external training programs)
• Discounts on Biosphere Corporation products
• Financial assistance (in cases of childbirth, medical treatment, force majeure, or circumstances caused by wartime events, etc.)

Office address: Dnipro, Zaporizke Highway 37 (Right Bank, Topol-1 district).

Learn more about Biosphere Corporation, our strategy, mission, and values at:
http://biosphere-corp.com/
https://www.facebook.com/biosphere.corporation/

Join our team of professionals!

By submitting your CV for this vacancy, you consent to the use of your personal data in accordance with the current legislation of Ukraine.
If your application is successful, we will contact you within 1–2 business days.

Requirements

Total of 5+ years of development/design experience with a minimum of 5 years experience in Big Data technologies on-prem or on cloud.
Experience with architecting, building, implementing and managing Big Data platforms On Cloud, covering ingestion (Batch and Real time), processing (Batch and Realtime), Polyglot Storage, Data Analytics and Data Access
Good understanding of Data Governance, Data Security, Data Compliance, Data Quality, Meta Data Management, Master Data Management, Data Catalog
Proven understanding and demonstrable implementation experience of big data platform technologies on cloud (AWS and Azure) including surrounding services like IAM, SSO, Cluster monitoring, Log Analytics etc
Experience working with Enterprise Data Warehouse technologies, Multi-Dimensional Data Modeling, Data Architectures or other work related to the construction of enterprise data assets
Strong Experience implementing ETL/ELT processes and building data pipelines including workflow management, job scheduling and monitoring
Experience building stream-processing systems, using solutions such as Apache Spark, Databricks, Kafka etc…
Experience with Spark/Databricks technology is a must
Experience with Big Data querying tools
Solid skills in Python
Strong experience with data modelling and schema design
Strong SQL programming background
Excellent interpersonal and teamwork skills
Experience to drive solution/enterprise-level architecture, collaborate with other tech leads
Strong problem solving, troubleshooting and analysis skills
Experience working in a geographically distributed team
Experience with leading and mentorship of other team members
Good knowledge of Agile Scrum
Good communication skills

 #LI-OE1

#LI-Remote

Job responsibilities

Work directly with the Client teams to understand the requirements/needs and rapidly prototype data and analytics solutions based upon business requirements
Design, implement and manage large scale data platform/applications including ingestion, processing, storage, data access, data governance capabilities and related infrastructure
Support Design and development of solutions for the deployment of data analytics notebooks, tools, dashboards and reports to various stakeholders
Communication with Product/DevOps/Development/QA team
Architect data pipelines and ETL/ELT processes to connect with various data sources
Design and maintain enterprise data warehouse models
Take part in the performance optimization processes
Guide on research activities (PoC) if necessary
Manage cloud based data & analytics platform
Establishing best practices with CICD under BigData scope

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

We are looking for a Data Engineering Specialist who is passionate about building systems that shape business outcomes. This role will play a key role in designing, building, and optimizing the data platform.

You will drive and manage large-scale data migration and modernization initiatives, and work with cross-functional teams to deliver trusted, high-quality data that drives business intelligence, analytics, and innovation. 

As a Data Engineering Specialist, you will be at the forefront of building scalable pipelines, architecting data solutions, and ensuring the data platforms can support real-time insights and long-term growth. 

Responsibilities and Duties: 
• Take ownership of coding and solution design while collaborating with internal and external engineers on design, development, and deployment of data pipelines and solutions. 
• Design and implement end-to-end data migration strategies from legacy systems to modern cloud platforms. 
• Manage data architecture and data modernization initiatives, ensuring alignment with business goals, data governance policies, and performance requirements. 
• Develop and optimize ETL/ELT pipelines using modern tools and frameworks (e.g., Apache Spark, Databricks, Airflow, dbt). 
• Work with stakeholders to gather requirements and translate them into scalable and maintainable data solutions. 
• Ensure data quality, reliability, and integrity through robust testing and monitoring. 
• Drive best practices in DevOps for data – CI/CD. 
• Mentor and provide technical guidance to data engineers.

Qualifications Required: 
• 7+ years of relevant experience in Data Engineering / Analytics domain with at least 3 years in Digital Analytics 
• 7+ years of experience in SQL 
• 4+ years in Python 
• Experience with building a data lake over Cloud / Azure, ADF, Synapse, and Databricks – Delta Lake 
• Proven expertise with tools like ADF, Qlik Replicate, FiveTran for data integration and ETL processes. 
• Strong understanding of Python scripting and use of libraries (NumPy, Pandas) 
• Extensive hands-on experience with MS Fabric, including data warehousing, SQL optimization, and cluster management. 
• Strong knowledge of Big Data technologies such as Data Bricks, Event driven data processing using Function Apps/Lambda is preferred • Understanding of Web services (SOAP, XML, UDDI, WSDL) 
• Strong knowledge and experience in event driven architecture using standard message queues (i.e.RabbitMQ, SQS or Kafka) 
• Hands on Experience parsing NOSQL file systems such as JSON, XML, AVRO, Parquet. 
• Proven track record of using Apache Spark Data Bricks. 
• Hands-on experience with Azure Data Factory (ADF), Logic Apps, and Runbooks. 
• Exposure to traditional BI Tools (Tableau, Power BI, Qlik, SSRS, etc.) 
• Experience building web-services is a plus. 

Full-time remote job

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.

We are looking for an experienced AEP / AJO Engineer / Developer / Specialist / Consultant to join our team and work on customer data and real-time personalization solutions for international clients.

This role sits at the intersection of data engineering, marketing technology, and customer experience, with a strong focus on building and maintaining data flows and activating data through journeys.

You will be working with Adobe Experience Platform (AEP) and Adobe Journey Optimizer (AJO) in production environments.

Responsibilities

• Design and implement data ingestion pipelines (batch & streaming) into AEP
• Configure and maintain XDM schemas, datasets, and identity resolution
• Work with Real-Time Customer Profile and ensure data consistency across sources
• Build and optimize audiences and segmentation logic
• Implement and maintain event-driven customer journeys in AJO
• Integrate AEP with external systems via REST APIs and streaming mechanisms
• Troubleshoot and resolve issues related to data flows, latency, and activation
• Collaborate with data, marketing, and product teams to deliver scalable solutions

Requirements

• 2+ years of hands-on experience with AEP and AJO
• Strong understanding of data engineering concepts (ETL/ELT, streaming, pipelines)
• Experience with data modeling (preferably XDM or similar schema systems)
• Solid SQL skills (data validation, segmentation logic, troubleshooting)
• Experience working with APIs, JSON, and integrations
• Understanding of event-driven architectures

Nice to have

• Experience with:
  • Adobe Analytics
  • Adobe Target
  • Adobe Campaign
• Experience with cloud platforms (AWS / Azure / GCP)
• Familiarity with tag management tools like Adobe Launch
• Experience with other CDPs (e.g. Salesforce Data Cloud, Segment)
• Basic scripting (JavaScript / Python)

What we’re looking for

• Strong ownership and ability to work independently
• Attention to data quality and system reliability
• Ability to bridge business requirements and technical implementation
• Experience working in distributed teams

What we offer

• B2B full-time/part-time collaboration model
• Remote-first setup
• Collaborative and supportive team environment
• Opportunity to work with international, well-known clients in distributed teams, building solutions on a modern data & marketing technology stack
• Be part of a highly specialized and fast-growing domain, building expertise in a niche area 

Interested in joining our team?

If this opportunity sounds interesting to you and you’d like to be part of our growing team — feel free to share your CV along with your expected rate.

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We are seeking a proactive Data Engineer with at least 3 years of experience to join our engineering team. You will be responsible for the full lifecycle of data-driven applications, from building robust backend APIs to designing and maintaining complex data pipelines. The ideal candidate thrives in a DevOps-cultured environment and is eager to work with modern orchestration and cloud technologies.

Core Responsibilities:

— Data Pipeline Management: Develop, optimize, and maintain scalable data pipelines to ensure high-quality data flow.

— API Development: Build and maintain high-performance backend APIs using FastAPI.

— System Reliability: Proactively identify bottlenecks and improve system stability within existing infrastructures.

— Collaboration: Work closely with cross-functional teams to integrate AWS services and workflow orchestration tools into the production environment.

Required Qualifications:

— 3+ years of professional Python experience.

— Databases: Strong proficiency in both SQL and NoSQL database design and management.

— DevOps Tools: Hands-on experience with Docker, CI/CD pipelines, and Git version control.

— Frameworks: Proven experience building applications with FastAPI.

— Cloud & Orchestration: Practical experience with AWS services and familiarity with Airflow (or similar workflow orchestration tools).

— Communication: Upper-Intermediate level of English (written and spoken) for effective team collaboration.

Preferred Skills (Nice to Have):

— Experience within the Financial Domain.

— Hands-on experience with Apache Spark and complex ETL pipelines.

— Knowledge of container orchestration using Kubernetes.

— Exposure to or interest in Large Language Models (LLMs) and AI integration.

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.

About Us:

Atto Trading, a dynamic quantitative trading firm founded in 2010 and leading in global high-frequency strategies, is looking for a Data Engineer to join our team.

We are expanding an international, diverse team with experts in trading, statistics, engineering, and technology. Our disciplined approach, combined with rapid market feedback, allows us to quickly turn ideas into profit. Our environment of learning and collaboration allows us to solve some of the world’s hardest problems, together. As a small firm, we remain nimble and hold ourselves to the highest standards of integrity, ingenuity, and effort. 

Role Highlights:
We are seeking an experienced Senior Data Engineer to design, build, and maintain our comprehensive Data Lake for a fast-growing number of research and production datasets. This role combines hardware and platform infrastructure expertise with data engineering excellence to support our rapidly growing data assets (~200TB current, scaling ~100TB/year). 
 

Responsibilities:

• Architect and manage high-performance, scalable on-premise data storage systems optimized for large-scale data access and analytics workloads
• Configure and maintain compute clusters for distributed data processing
• Plan capacity and scalability roadmaps to accommodate 100TB+ annual data growth
• Design and implement efficient monitoring and alerting systems to forecast growth trends and proactively react to critical states
• Design, create, automate, and maintain various data pipelines
• Enhance existing and setup new “data checks” and alerts to determine when the data is “bad”
• Design and implement a comprehensive on-premise Data Lake system connected to VAST storage solution for normalized market data across:
  • US Equities, US Futures, and SIP feeds
  • Other market data sources that will be further added
  • Security Definition data for various markets
  • Various private column data
• Build and operate end‑to‑end data pipelines and SLA/SLO monitoring to ensure data quality, completeness, and governance
• Analyze existing data models, usage patterns, and access frequencies to identify bottlenecks and optimization opportunities
• Develop metadata and catalog layers for efficient data discovery and self‑service access
• Design and deploy event‑driven architectures for near real‑time market data processing and delivery
• Orchestrate ETL/ELT data pipelines using tools like Prefect (or Airflow), ensuring robustness, observability, and clear operational ownership
• Ensure fault tolerance, scalability, and high availability across existing systems
• Partner with traders, quantitative researchers, and other stakeholders to understand use cases and continuously improve the usability, performance, and reliability of the Data Lake  

Requirements:

• 5+ years of experience in data engineering or data platform roles
• Proven experience with large‑scale data infrastructure (hundreds of TBs of data, high‑throughput pipelines)
• Strong understanding of market data formats and financial data structures (e.g., trades, quotes, order books, corporate actions)
• Experience designing and modernizing data infrastructure within on-premise solutions
• Bachelor’s degree in Computer Science, Engineering or related field required; Master’s degree preferred or equivalent practical experience

Tech Skills:

• Data Engineering - Spark, Iceberg (or similar table formats), Trino/Presto, Parquet optimization
• ETL pipelines - Prefect/Airflow or similar DAG-oriented tools
• Infrastructure - High-performance networking and compute
• Storage Systems - High-performance distributed storage, NAS/SAN, object storage
• Networking - Low-latency networking (aware about DPDK and kernel bypass technologies. Data center infrastructure basics
• Programming - Python (production‑grade), SQL, building APIs (e.g., FastAPI)
• Data Analysis - Advanced SQL, Tableau (or similar BI tools), data profiling tools

Nice to have:

• Experience in HFT or financial services
• Background in high‑frequency trading (HFT) or quantitative finance

What we offer:

• Competitive compensation package
• Performance-based bonus opportunities
• Healthcare & Sports/gym budget
• Mental health support, including access to therapy
• Paid time off (25 days)
• Relocation support (where applicable)
• International team meet-ups
• Learning and development support, including courses and certifications
• Access to professional tools, software, and resources
• Fully equipped workstations with high-quality hardware
• Modern office with paid lunches
   

Our motivation:

We are a company committed to staying at the forefront of technology. Our team is passionate about continual learning and improvement. With no external investors or customers, we are the primary users of the products we create, giving you the opportunity to make a real impact on our company's growth.

Ready to advance your career? Join our innovative team and help shape the future of trading on a global scale. Apply now and let's create the future together!

We’re looking for an experienced Data Engineer to build and scale the data infrastructure behind a fast-growing online education platform. This is a hands-on role with significant ownership, where you’ll play a key part in transforming raw data into actionable insights that drive business decisions and improve user experience.

You’ll work closely with a small, collaborative team of 5 people and operate as an independent contributor—selecting tools, designing systems, and ensuring everything runs efficiently. We embrace modern technologies, including AI tools, and continuously integrate them into our workflows.

What to do:

• Design, build, and maintain scalable data pipelines (ETL/ELT)
• Develop and manage data infrastructure for analytics and reporting
• Organize and structure data for easy access and usability
• Enable real-time or near-real-time insights for marketing, sales, and customer success teams
• Ensure data quality, reliability, and performance across systems
• Collaborate with cross-functional teams to understand data needs and deliver solutions
• Take ownership of the data ecosystem, from architecture to optimization

Expected experience:

• 4+ years of experience in Data Engineering or a similar role
• Strong proficiency in Python
• Hands-on experience with ETL/ELT pipelines
• Experience working with NoSQL databases
• Solid understanding of data modeling and data architecture
• Experience building scalable and reliable data systems
• Comfortable working independently in a startup environment

Will be a plus:

• Experience with modern data stack tools (e.g., Airflow, dbt, Snowflake, BigQuery)
• Familiarity with real-time data processing and streaming technologies
• Experience integrating or working with AI/ML tools in data workflows
• Knowledge of cloud platforms (AWS, GCP, or Azure)
• Background in analytics for product, marketing, or customer success teams

What we offer:

• Great team and excellent environment, that will help you to improve your soft skills;

• Flexible working schedule. We respect your personal time;

• Paid vacations, sick leaves;

• Bookkeeping and accounting will be maintained by the professional accountant;

• Educational opportunities;

Interview Stages:

1. Interview with Head of HR 
2. Interview with CEO and CTO
3. Interview with the client

We are looking for a System Administrator / Web Infrastructure Engineer to support and maintain the technical infrastructure of our web projects in the iGaming / affiliate marketing space.

This role is focused on domain management, website availability, Cloudflare configuration, server support, and web security. You will work closely with marketing and product teams to ensure that our websites, mirrors, and landing pages remain stable, secure, and accessible.

Responsibilities

• Administer and maintain domain infrastructure across multiple projects
• Configure and support Cloudflare, including:
  • DNS
  • CDN
  • WAF
  • SSL
  • firewall and security rules
  • caching and traffic protection settings
• Set up and maintain website mirrors and domain rotation
• Monitor website availability and quickly respond to downtime, blocking, or infrastructure issues
• Manage domains through registrars such as GoDaddy, Namecheap, and similar providers
• Implement and maintain website protection measures, including anti-DDoS, firewall rules, and basic anti-bot solutions
• Support hosting environments, VPS, and server-side configurations
• Work with Linux-based servers, web servers, and hosting providers
• Create, deploy, and support simple websites and pre-landing pages using WordPress or similar CMS platforms
• Maintain basic technical SEO settings, including:
  • meta tags
  • robots.txt
  • sitemap
  • canonical tags
• Provide technical support for affiliate and marketing websites
• Ensure overall stability, security, and availability of web infrastructure

Requirements

• Hands-on experience as a System Administrator, Web Infrastructure Engineer, or similar role
• Strong practical experience with Cloudflare
• Solid understanding of:
  • DNS
  • WAF
  • SSL
  • caching
  • firewall/security settings
• Experience managing domains, DNS zones, and website mirrors
• Experience with hosting providers, VPS environments, and server administration
• Good understanding of website security and protection practices
• Experience with WordPress or similar CMS platforms
• Basic understanding of technical SEO
• Ability to troubleshoot infrastructure and website availability issues quickly and independently

Nice to Have

• Experience in iGaming, affiliate, or betting projects
• Experience with Cloudflare advanced security features, anti-bot rules, and traffic filtering
• Experience with Linux, Nginx, and server infrastructure
• Experience with large-scale domain management
• Understanding of web tracking, redirect chains, and landing page infrastructure

Role Overview

In this position, you will be responsible for:

• ensuring the stability and availability of websites
• administering domain and DNS infrastructure
• maintaining web security and traffic protection
• supporting hosting, VPS, and server-side setup
• providing technical support for landing pages, mirrors, and affiliate websites

SKELAR — is a Ukrainian venture builder that creates international tech businesses. Together with co-founders, we assemble strong teams to succeed in global markets.

We are currently looking for an Infrastructure engineer to join our partner company TENTENS Tech. In this role, you will manage and scale a highly available database infrastructure handling up to 2 PB of data and 100,000 operations per second. You’ll be responsible for database architecture decisions, performance optimization, and reliability improvements, while closely collaborating with DevOps, Security, and Software Engineering teams.

TENTENS Tech is a Ukrainian IT company that develops platforms in the social discovery domain. The TENTENS Tech team has successfully launched dozens of platforms used by millions of people worldwide. Their slogan, “We don’t think limits,” reflects both the company’s strategic mindset and the team’s drive to always move far beyond the horizon.

Strategic challenges and objectives:

• Database health monitoring and troubleshooting.
• Work with massive amounts of data.

Key areas of responsibility:

• Collaborate with engineers, DBAs, and DevOps teams on technical issues.
• Design and develop infrastructure on GCP.
• Provide support to developers and QAs as required.
• Maintain system monitoring of the database servers. Slow query reporting.
• Participate in database restructuring and management.
• Work on schema design and data modeling.

Technical requirements:

• Proven experience as a Site Reliability Engineer on GCP or other cloud platforms.
• Skilled in infrastructure design and development.
• Experience with administering MySQL server.
• Basic performance, query, and index optimization.
• Confident knowledge of MySQL backup solutions.
• Good understanding of monitoring requirements.
• Good understanding of replication principles.
• Comfortable with collaborative tools, such as Slack, wikis, Subversion, and basic ticket tracking systems (YouTrack, Jira).

Non-technical requirements:

• Fast learner and creative thinker with strong problem-solving skills.
• Effective team member with a high level of motivation and ability to work with little supervision.
• Dynamic self-starter with high attention to detail, highly responsible and reliable.

Desirable skills:

• Previous work experience with Python, Golang, Shell, or other programming languages.
• Previous work experience with relational databases, such as Oracle, PostgreSQL, and NoSQL DBs: MongoDB, Elasticsearch, Redis, etc.
• Good understanding of load balancers, DNS, networking, and/or client-side drivers.

By choosing us you get:

• Opportunity to work with a multi-million audience.
• Career growth and professional development with various internal training and seminars, access to an extensive book library, chance to participate in key IT industry events worldwide (attending the conferences).
• Work in a great team. We pay special attention to the recruitment and development of talent. All the members of our team are young, active, and highly motivated for creative problem-solving.
• Employee wellness program, which includes running sessions, football, basketball, and other sports. The cost of sports activities is covered by the company. In-house doctor support is also available on demand.
• Health insurance is available for all employees.

Let's build the next big everything together!

About the Role
 

Company domain - automotive industry.
We are looking for Data Engineers to join a managed service team delivering modern data products.
 

The role is focused on hands-on implementation under defined standards and senior guidance. You will contribute to building data products, ensuring quality and compliance with established frameworks.
 

Responsibilities
 

• Implement pipelines and data transformations
• Build analytical and source-aligned data products
• Follow established standards (data contracts, modeling patterns, testing strategies)
• Work in cross-functional domain teams
• Participate in pair-programming and knowledge transfer
• Support monitoring and operational excellence of delivered data products
   

Required Technical Stack
 

Mandatory experience with:
 

• AWS
• Azure
• Snowflake
• dbt
• Witboost
• Dreamio
• Modern ELT/ETL practices
• CI/CD in data environments
• Automated testing for data pipelines
   

Required Experience
 

• 1–3 years in Data Engineering
• Previous assignments delivering pipelines and data products
• Familiarity with Data Mesh
• Basic understanding of DataOps
• Understanding of governance, lineage, SLAs
• Comfortable working in Agile cross-functional teams