Jobs Data Engineer

📍 Location: Remote

🤝 Engagement: Full-time, long-term project for an international product client

💬 English: B2+

🎯 Level: Senior
 

About the Opportunity

We are looking for a Senior Web Scraping / Data Collection Engineer to join an international product project.

The project is already in development. The client is currently strengthening the data collection / web scraping direction and is looking for an engineer who can take ownership of the existing scraping work and continue developing it.

The main goal is to build a modern and scalable data collection system capable of extracting structured data from various community, hobbyist, and other public websites.

The system should primarily collect structured information about locations, including:

• Name
• Address
• Additional information available on the source
• Sentiment and user opinions

The client plans to use Crawl4AI together with LLMs to handle complex and dynamic content and enable intelligent data extraction.

What You'll Be Doing

• Develop custom scrapers using Crawl4AI.
• Extract structured data from various websites.
• Work with complex and dynamic web content.
• Implement advanced extraction strategies using Pydantic schemas, CSS selectors, and LLM-based parsing.
• Produce structured JSON / Markdown data optimized for further LLM processing.
• Extract basic location data such as names and addresses.
• Extract all available information about locations when additional data is provided by the source.
• Develop approaches for extracting sentiment from user opinions and discussions.
• Transform different opinions about a location into structured data that can be used for further processing and analytics.
• Work with different types of sources, including:
  • Community websites
  • Hobbyist websites
  • Blogs
  • Social media communities and groups
• Work with websites using sophisticated access restrictions, including age gates, CAPTCHAs, and IP rate limits.
• Use session persistence and browser fingerprinting to improve scraping success rates on challenging sources.
• Deliver clean and deduplicated data.
• Produce results in CSV or database-ready formats.
• Optionally contribute to a web interface that allows users to:
  • Enter URLs
  • Configure scraping settings
  • Adjust stealth mode
  • Set crawl depth
  • Add extraction instructions
  • Monitor scraping results

Data Structure

At a basic level, the system should be able to return location data in a simple structured format:

[

 {

   "name": "place1",

   "address": "address1"

 },

 {

   "name": "place2",

   "address": "address2"

 }

]

If a source contains more information, the system should be able to return additional fields in a consistent JSON format.

The system should also support extracting sentiment-related information.

For example, if 6 people mention that they loved a location, 2 consider it average, and 2 disliked it, this information should be structured in a way that can be used for further processing and analytics.

The exact sentiment format can be flexible, but consistent JSON is preferred.

What We're Looking For

• Commercial experience in Web Scraping / Web Crawling / Data Extraction.
• Strong Python skills.
• Hands-on experience working with dynamic and complex websites.
• Experience with browser automation.
• Good understanding of HTML / DOM and CSS selectors.
• Experience developing custom scrapers.
• Experience working with structured data and JSON.
• Experience with Pydantic or similar schema-based approaches.
• Understanding of LLM-based data extraction.
• Experience with session persistence and browser fingerprinting.
• Understanding of CAPTCHA, age gates, and IP rate limits.
• Ability to independently understand an existing scraping solution and continue developing it.
• English B2+.

Nice to Have

• Practical experience with Crawl4AI.
• Experience integrating Crawl4AI with LLMs.
• Experience with Playwright, Selenium, or similar tools.
• Experience with LLM-based parsing / information extraction.
• Experience with sentiment analysis / NLP.
• Experience collecting data from social media communities, blogs, and other user-generated sources.
• Experience building lightweight web interfaces for managing scraping jobs.

Who You Are

We are looking for an engineer who can independently take ownership of the scraping direction, understand the existing solution, and continue developing it.

It is important to be able not only to crawl pages, but to extract high-quality, structured, and usable data from them.

Strong practical experience with dynamic websites, browser automation, complex scraping scenarios, and structured data extraction is especially important.

What We Offer

• 🌍  Remote work.
• 📄  Full-time, long-term project.
• 🚀 Work on an existing international product.
• 🧠 Opportunity to take ownership of a dedicated technical direction.
• 💼 Work with Crawl4AI, LLMs, and modern data extraction approaches.
• 🤝 Direct collaboration with the client team.
• 📈 Opportunity to influence the technical solution and further development of the data collection system.

Hiring Process

1. Recruiter Screening

2. Client Interview (A technical interview with the client team focused on your practical experience, approach to complex scraping challenges, work with dynamic websites, and structured data extraction)

3. Offer 🎉

We’re looking for a Data Engineer to improve our data infrastructure and integration workflows.

This role is a great fit for someone who can quickly step into an existing environment, bring strong technical expertise, and help us build reliable, scalable solutions with a practical hands-on approach.

Responsibility:

• Design and build data templates for integration workflows
• Optimize and improve existing data pipelines
• Ensure smooth and reliable integration across SaaS systems

Requements:

• Commercial experience as a Data Engineer
• Python skills for data engineering tasks
• Understanding of building efficient, scalable, and maintainable data pipelines

Would be a plus:

• Experience with ETL / ELT

• Experience with cloud-based data platforms and modern data stack

   

Required languages

EnglishB2 - Upper Intermediate

We are seeking a hands-on Senior DevSecOps Engineer with strong AWS and Azure experience to embed security directly into our engineering lifecycle. In this role, you will be the technical engine that automates compliance guardrails, integrates security tooling (SAST/DAST, EDR, Vulnerability Management) into CI/CD pipelines, and routes critical security telemetry to our SIEM. Your mission is to build the automated scaffolding that allows software delivery to move at high speed without compromising on enterprise security or governance.

Key Responsibilities

·  CI/CD Security Automation: Design, build, and maintain secure deployment pipelines (e.g., GitHub Actions, Azure DevOps, GitLab CI). Integrate automated vulnerability scanning, secret detection, and software supply chain security (SCA) seamlessly into the developer workflow.

·  Policy-as-Code & Guardrails: Write, test, and deploy automated policy guardrails using Infrastructure as Code (IaC) linting and scanning tools (e.g., Checkov, Tfsec, OPA/Rego) to catch misconfigurations before they reach production.

·  Security Product Deployment: Automate the baking of EDR agents, vulnerability scanners, and monitoring tools into base machine images (AMIs, Azure Golden Images) and containerized base environments.

·  Vulnerability & Remediation Pipelines: Operationalize vulnerability management by building automated workflows that ingest findings from cloud security tools, prioritize them based on risk, and route them to engineering backlogs (e.g., Jira tracking).

·  Logging & SIEM Integration: Configure and automate the pipeline delivery of application, container, and infrastructure logs to central logging repositories and SIEM systems for real-time threat hunting.

·  Developer Enablement: Serve as a bridge between Security and Engineering, providing developer-friendly remediation guidance and creating reusable, secure-by-default code templates (Terraform modules, Helm charts).

Required Skills & Qualifications

·  DevSecOps & CI/CD Pipelines: Deep, practical experience constructing and securing automated build/release pipelines at scale.

·  Multi-Cloud Platforms: Hands-on engineering experience configuring native security services and access controls in both AWS and Azure.

·  Infrastructure as Code (IaC): Advanced proficiency with Terraform or cloud-native tooling (Bicep, CloudFormation), focusing on modular design and immutable infrastructure.

·  Security Tooling Implementation: Direct experience implementing and maintaining security products across the lifecycle (e.g., SonarQube, Prisma Cloud, Wiz, Snyk, CrowdStrike, or Sentinel).

·  Container & Orchestration Security: Strong understanding of Kubernetes (EKS/AKS) security best practices, service meshes, and container runtime defense.

Preferred Certifications

·  Certified DevSecOps Professional (CDP) or Practical DevSecOps certification

·  AWS Certified Security – Specialty or Azure Security Engineer Associate

·  Certified Kubernetes Administrator (CKA) / Certified Kubernetes Security Specialist (CKS)...

Description

The Digital Health organization is technology team which focused on next generation Digital Health capabilities which deliver on the Medicine mission and vision to deliver Insight Driven Care. This role will operate within the Digital Health Applications & Interoperability subgroup of the broader Digital Health team, focused on patient engagement, care coordination, AI, healthcare analytics & interoperability amongst other advanced technologies which enhance our product portfolio with new services, while improving clinical & patient experiences.

The project is a cloud-based PaaS Ecosystem built with a privacy by design centric approach to provide a centralized cloud-based platform to store, classify, and control access to federated datasets in a scalable, secure, and efficient manner.

The ecosystem will allow Customer Operating Units (medical device departments) to store federated data sets of varying sizes and formats and control access to those data sets through Data steward(s). Source data sets can be exposed to qualified use cases and workflows through different project types.

The Healthcare Data Platform ecosystem will provide ML/AI project capabilities for streamlined development processes and a ML/AI workbench to enhance data exploration, wrangling, and model training.

OU’s: Currently, Nuero, Cardio, Diabetes is the OU that HDP data platform is working with, but there could be more OU’s coming up with requirements in future.

GL Role: is to work on the enhancement of current capabilities, including taking over the work that AWS proserve team is doing, and develop new requirements that will keep coming from different OU’s in the future.

Requirements

As a System Engineer within the Company Research & Systems Engineering team, you will have the opportunity to work on cloud-based solutions with a strong focus on AWS, Data Engineering, and scalable data platforms. You will collaborate with cross-functional engineering teams to design, develop, integrate, and maintain reliable cloud-native systems and data workflows.

In this role, you will contribute to building and evolving AWS-based architectures, data processing pipelines, and integrations across distributed systems. You will develop a strong understanding of end-to-end system architecture, data flows, infrastructure, and operational requirements, helping to drive technical implementation and delivery throughout the software development lifecycle.

You will work closely with software engineers, data engineers, architects, and other stakeholders to ensure that solutions are scalable, secure, maintainable, and aligned with both technical and business requirements.

• 3+ years of experience in System Engineering, Software Engineering, Cloud Engineering, Data Engineering, or a related technical role.
• Strong software development experience with Python.
• Hands-on experience designing, developing, or supporting solutions on AWS.
• Experience with data engineering concepts and technologies, including data ingestion, ETL/ELT, transformation, validation, and data processing pipelines.
• Strong SQL skills and experience working with relational and/or NoSQL databases.
• Experience with REST APIs, service integrations, and distributed application architectures.
• Understanding of cloud-native architecture principles and modern software development practices.
• Experience troubleshooting applications and distributed cloud systems and performing root cause analysis.
• Experience with Git and modern CI/CD development workflows.
• Strong analytical and problem-solving skills with the ability to understand complex systems and data flows.
• Ability to work effectively with software, data, cloud, and machine learning engineering teams.
• BA/BS in Computer Science, Software Engineering, Information Technology, or a related technical field, or equivalent practical experience.

Preferred Qualifications

• Experience with AWS data services such as S3, Glue, Athena, EMR, or similar technologies.
• Experience with Amazon SageMaker and machine learning development or deployment workflows.
• Experience with Infrastructure as Code using AWS CloudFormation, Terraform, or AWS CDK.
• Experience with AWS monitoring and observability services such as CloudWatch and CloudTrail.
• Experience working in Agile/Scrum development environments.

Job responsibilities

• Work with engineering and cross-functional stakeholders to gather, analyze, clarify, and document business, functional, and non-functional requirements, translating them into clear system and technical requirements.
• Define system requirements, interfaces, data flows, integration requirements, acceptance criteria, and technical constraints for cloud-based software components, data platforms, and integrations.
• Maintain requirements throughout the development lifecycle, ensuring traceability between business needs, system requirements, technical design, implementation, and validation.
• Identify gaps, dependencies, assumptions, and potential technical risks in requirements and work with stakeholders to resolve them before and during implementation.
• Design and contribute to scalable AWS-based architectures supporting data ingestion, processing, transformation, storage, and distribution.
• Analyze data and system behavior to support architecture, implementation, performance, and product decisions.
• Collaborate with Data Engineering, Software Engineering, Cloud Engineering, DevOps, and Architecture teams to design and integrate end-to-end cloud solutions.
• Support operational monitoring, logging, alerting, and troubleshooting of cloud applications and data processing workflows.
• Contribute to system architecture and technical design discussions, including scalability, reliability, security, performance, and cost considerations.
• Participate in technical and requirements reviews to ensure solutions meet defined requirements, engineering standards, cloud best practices, and established software development processes.
• Support continuous improvement of cloud infrastructure, data pipelines, deployment processes, requirements management, and engineering practices throughout the software development lifecycle.

Softsich is a young and ambitious international product tech company that develops scalable B2B digital platforms. We’re on the lookout for an experienced Data Engineer who’s ready to grow with us and shape high-load, data-driven solutions used by international partners.

It’s a match if you have:
– Hands-on experience with Python for data processing and pipeline development.
– Hands-on experience developing and maintaining data pipelines in Airflow.
– Experience with cloud platforms (AWS preferred).
– Strong SQL skills and experience with NoSQL databases (MongoDB).
– Experience with Git for version control and collaborative development workflows.
– Experience with CI/CD pipelines for building, testing, and deploying data pipelines and related code.
– Ability to work independently, take ownership, and collaborate effectively with analysts and product owners.
– Excellent collaboration skills.

Your key responsibilities will include:
– Develop and maintain data pipelines orchestrated with Airflow using Python-based DAGs.
– Develop and maintain data models in the analytical data warehouse (DWH) to support reporting and business intelligence use cases.
– Develop and maintain data validation scripts using Python, SQL, and pandas.
– Collaborate with analysts and product owners to deliver well-structured, reliable datasets.

Nice to have:
– Experience with DWH Snowflake.
– Experience with DataOps, DevOps practices and performance optimization.
– Experience with NoSQL databases (preferably MongoDB).

What we offer:

– Flexible schedule and remote format or offices in Warsaw/Kyiv — you choose.
– 24 paid vacation days, sick leaves, and health insurance (UA-based, other locations in progress).
– A supportive, friendly team where knowledge-sharing is part of the culture.
– Coverage for professional events and learning.
– Birthday greetings, team buildings, and warm human connection beyond work.
– Zero joules of energy to the aggressor state, its affiliated businesses, or partners.

Send over your CV now — we’d love to get to know you better!

We're looking for a Middle+ Data/Databricks Engineer to join our data team and take ownership of pipelines built on Databricks. You'll design and run production-grade ETL/ELT workloads, work with the lakehouse (Delta Lake) architecture, and partner closely with analysts, data scientists, and business stakeholders who rely on the data you deliver. "Middle+" here means roughly 3–5 years of hands-on data engineering experience: you can own a pipeline end to end with minimal supervision, make sound design decisions, and are starting to mentor more junior engineers — without yet carrying full architectural ownership of the platform.

Contract & Logistics

• Contract type: B2B (valid Czech IČO / trade license required).
• Location: Remote, candidate must be based in the Czech Republic; occasional visit to Prague office.
• Start date: ASAP
• English: Fluent 
• Czech: Native/Fluent 

What You'll Do

• Design, build, and maintain scalable ETL/ELT pipelines on Databricks using PySpark and SQL.
• Implement and evolve Delta Lake tables following a medallion (bronze/silver/gold) architecture.
• Develop batch and, where needed, streaming data processing jobs (Structured Streaming).
• Build and maintain CI/CD for Databricks notebooks and jobs (Databricks Asset Bundles, Repos, Git-based workflows).
• Orchestrate pipelines with Databricks Workflows, Azure Data Factory, Airflow, or similar tools.
• Monitor job performance and cluster costs; troubleshoot failures and optimize for reliability and spend.
• Implement data quality checks, testing, and monitoring for critical datasets.
• Collaborate with analysts, data scientists, and business stakeholders to translate requirements into data models.
• Participate in code reviews, document technical decisions, and help shape engineering best practices.
• Provide guidance and informal mentorship to junior team members.

What We're Looking For

• 3+ years of hands-on experience with Apache Spark, ideally on Databricks specifically.
• Strong PySpark and SQL skills, including performance tuning of Spark jobs.
• Practical experience with Delta Lake and lakehouse architecture concepts.
• Solid grasp of data modeling (dimensional modeling, star schema) and ETL/ELT design patterns.
• Experience with at least one major cloud platform — Azure, AWS, or GCP (Azure Databricks is a plus).
• Familiarity with pipeline orchestration tools (Databricks Workflows, ADF, Airflow, or equivalent).
• Working knowledge of Git and CI/CD practices for data engineering.
• Understanding of data governance, access control, and security basics (Unity Catalog is a plus).
• Good written and spoken English; Czech or Slovak is a plus but not required.
• Comfortable working independently and communicating clearly in a remote, distributed team.

Nice to Have

• Databricks certification (Data Engineer Associate or Professional).
• Experience with streaming technologies such as Kafka or Azure Event Hubs.
• Experience with dbt for transformation and testing.
• Solid Python software-engineering practices — testing, packaging, typing.
• Infrastructure-as-code experience (Terraform).
• Exposure to MLOps or ML pipeline support.
• Experience in a regulated or large enterprise data environment.

What We Offer

• Fully remote work with flexible hours, based anywhere in the Czech Republic.
• Long-term B2B cooperation with a stable pipeline of work.
• A modern, actively evolving data stack rather than legacy maintenance work.
• Direct collaboration with senior engineers and architects — real input on design decisions.
• Budget for training, certifications, and conference attendance.
• A flat structure with fast decision-making and minimal bureaucracy.

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client is a product-focused creative-tech company building advanced solutions for professional photographers and creators worldwide. Their platform automates and accelerates post-production by processing massive RAW images and videos and integrating with tools like Lightroom and Premiere.
The company is highly engineering-driven, solving complex challenges around media processing, performance, scalability, and UX. Engineers have a direct impact on a product that professionals rely on every day.

Key Requirements:
🔹 5+ years of experience as a Backend Engineer, with experience building platform services or shared infrastructure;
🔹 B.Sc in Computer Science, Software Engineering, or a related field from a well-known university;
🔹 Proven expertise in backend server development, using languages like Python, Scala, Go, or Java;
🔹 Solid understanding of system design principles, API architecture, and service-oriented architectures;
🔹 Experience integrating with cloud services (preferably AWS) as part of application development;
🔹 Excellent communication skills for collaborating across engineering, product, and operations teams;
🔹 Proactive mindset, having the will and ability to find areas where optimizations can benefit the entire org;
🔹 English – Upper-Intermediate or higher.

What you will do:
🔹 Drive platform-level initiatives that improve scalability, reliability, and developer experience across our backend systems;
🔹 Collaborate with multiple departments to support new platform features and technical initiatives;
🔹 Monitor platform health, investigating and resolving incidents and reliability issues;
🔹 Develop and optimize shared platform services, APIs, and infrastructure used across engineering teams;
🔹 Create internal tools and frameworks that improve developer productivity and system reliability;
🔹 Drive initiatives to improve observability, monitoring, and operational excellence across our infrastructure;

Interview stages:
🔹 HR Interview;
🔹 Intro interview with Engineering Lead;
🔹 1st Technical Interview;
🔹 2nd Technical Interview (optional);
🔹 HR Interview;
🔹 Reference check;

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products – and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.
From day one, you’ll get:
🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer.
You’ll always know what project you’re joining – and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

Meet the YozmaTech

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster. We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact. Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client is a CX AI platform that enables enterprises to deliver intelligent, automated, and personalized customer experiences across all digital channels. Powered by advanced AI, large language models, and real-time decisioning, the client transforms customer interactions into proactive, context-aware journeys-boosting efficiency, empowering agents, and driving measurable business outcomes at enterprise scale.
As a Data Engineer, you will play a key role in designing, building, and maintaining the data infrastructure that powers our products and drives business insights. This is an opportunity to join a fast-moving, innovation-driven team where your work will directly impact how we leverage data to serve global enterprises.

Key Requirements:
🔹4+ years of experience as a data engineer or similar role;
🔹2+ years of experience with Tablau;
🔹Expert-level proficiency in SQL (complex queries, performance tuning, database design);
🔹Strong proficiency in Python for data processing and automation;
🔹Solid understanding of data modeling, data warehousing concepts, and ETL/ELT methodologies;
🔹Strong problem-solving skills, attention to detail, and ability to work independently.
🔹English – Upper-Intermediate or higher.

Will be plus:
🔹Experience with cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery, or Snowflake);
🔹Familiarity with data orchestration tools (Airflow, dbt, Luigi, or similar);
🔹Background in working with large-scale datasets and big data technologies.

What you will do:
🔹Design, build, and maintain scalable data pipelines and ETL/ELT processes.
🔹Develop and optimize complex SQL queries, stored procedures, and database structures.
🔹Create and manage data models, data warehouses, and data lakes.
🔹Ensure data quality, integrity, and availability across systems.
🔹Collaborate with analytics, product, and engineering teams to support data-driven decisions.
🔹Monitor and troubleshoot data pipeline performance and reliability.
🔹Document data architecture, processes, and best practices.

Interview stages:
🔹 HR Interview;
🔹 Technical Interview;
​​​​​​​🔹 Technical Interview;
🔹 Reference Check;
🔹 Offer.

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products – and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.

From day one, you’ll get:
🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer.
You’ll always know what project you’re joining – and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

ORIL is seeking a skilled and proactive Senior BI/Data Engineer to design, scale, and maintain our mission-critical, AI-driven data platform. At the core of our engineering culture is a steadfast commitment to performance, reliability, clean data architecture, and uncompromising data integrity. The ideal candidate is an autonomous problem-solver who thrives in an agile environment, takes end-to-end ownership of data pipelines, and ensures robust, scalable deployments.
 

About the Project

Our client is a US-based innovator providing a centralized data platform for multi-family real estate. The product leverages BI analytics and AI to help operators optimize marketing spend and operational efficiency. The platform aggregates complex real estate datasets to feed real-time BI dashboards and power an intelligent Text-to-SQL analytics chatbot.
 

What are we looking for?

• 4+ years of experience building and maintaining production-grade data pipelines, backend data architectures, and BI systems;
• Strong expertise in Python and advanced SQL (complex queries, query optimization, indexing, and performance tuning);
• Proven experience with Data Modeling (Star/Snowflake schemas, relational databases, data warehousing concepts);
• Hands-on experience building and maintaining ETL/ELT pipelines;
• Strong experience with data cleaning, normalization, and aggregation to ensure accurate, consistent, and reliable data for both BI dashboards and AI applications;
• Experience working with relational databases and modern Data Warehouses;
• Experience with BI tools (e.g., PowerBI, Tableau, Metabase, or custom visualization solutions);
• Curiosity about multi-family real estate domain metrics (marketing spend, occupancy rates, operational efficiency, ROI) to better design analytical models;
• English level: Upper-Intermediate (B2+).
   

What will you do?

• Design, build, and optimize scalable ETL/ELT data pipelines to process real estate data from multiple sources;
• Architect and maintain clean, structured databases and data models optimized for fast querying, BI reporting, and AI/LLM integration (Text-to-SQL);
• Ensure data quality, consistency, and freshness across the entire platform through automated testing and monitoring;
• Collaborate with the AI/ML Engineer to prepare, expose, and optimize data schemas required for the intelligent chatbot and automated AI insights;
• Build and support analytical dashboards/reports that help business users derive actionable insights;
• Diagnose and resolve data bottlenecks, slow queries, and pipeline failures;
• Work closely with Product Managers and the engineering team to refine the data roadmap and ensure smooth data integration.
   

We Offer:

• Flexible engagement (Part-time or Full-time for 3+ months);
• Competitive compensation;
• Accounting support services;
• Flexibility to work from anywhere (fully remotely or in our office in Lviv);
• Comprehensive day-off policy, including public holidays and special events;
• Education & certification budget + corporate education events;
• Wellness budget;
• An agile environment and culture that promotes personal and team development.
   

Application Process:

1. Initial Screening: Call with Recruiter.
2. Technical Interview.
3. CI (Culture Index) Test.

Key Responsibilities:

• Architecture & Design: Lead the architecture and design of high-performance, scalable, and fault-tolerant Node.js applications, microservices, Big Data processing systems, and data pipelines running in a cloud environment (primarily AWS).
• Cloud Infrastructure: Utilize AWS services such as EC2, Lambda, RDS, S3, Kafka/MSK, SQS, and others to ensure that applications and data platforms are highly available, secure, and performant.
• Microservices & Event-Driven Systems: Build and manage distributed, high-load microservices and event-driven architectures that can scale effectively and handle large volumes of concurrent traffic and data.
• Data Infrastructure: Design and develop integrations and Big Data processing pipelines that ingest, transform, and distribute large volumes of data across operational and analytical systems.
• High-Performance Systems: Optimize Node.js applications and data processing workloads for performance under high load, ensuring minimal latency and maximum throughput.
• Multithreading: Implement advanced multithreading techniques to enhance system performance and concurrency.
• Code Quality & Best Practices: Write clean, maintainable, and efficient code while adhering to industry best practices and design patterns.

Part of the role will include integration with multiple external APIs, processing large volumes of data, and compiling it in a flexible way to accommodate various operational and analytical requirements.

Requirements

• At least 5 years of experience as a Backend Developer.
• In-depth knowledge and experience developing APIs, microservices, and distributed systems.
• Experience working with modern data platforms and storage solutions such as Snowflake, ClickHouse, or equivalent.
•  Experience working with event streaming and queuing solutions such as Kafka, RabbitMQ, SQS, or equivalent.
• Strong proficiency with JavaScript, and knowledge of Node.js and frameworks available for it (such as Express or equivalent).
•  Understanding the nature of asynchronous programming and its quirks and workarounds.
•  Understanding fundamental design principles behind a scalable application.
•  Experience designing and implementing data ingestion, transformation, and processing workflows.
•  Implementing automated testing modules and unit tests.
•  Proficient understanding of code versioning tools, such as Git.
•  Experience with cloud services such as AWS and GCP.
•  Experience working with Linux.
• Experience with CI/CD processes

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:

Vetric provides a public data intelligence API that ingests and structures high-volume web and continuous video feeds from major social networks, including LinkedIn, Facebook, Instagram, TikTok, Twitter and YouTube, to surface real-time signals for cybersecurity, public safety and digital risk protection platforms. Its infrastructure processes tens of millions of data requests daily and supports analytics on large-scale stores such as ClickHouse, ScyllaDB, DynamoDB, RDS and Redis. By enabling detection of bad actors, impersonations, fake news, extremists and brand abuse, Vetric solves critical visibility gaps across security and compliance workflows. The scale and data intensity of its mission-critical pipelines demand production-grade reliability, deep engineering rigor and long-term operational excellence to deliver consistent, actionable intelligence.

About the Role:

You will join Vetric’s infrastructure team in the Krakow engineering hub as a Senior DevOps Engineer, reporting to the DevOps Team Leader. In this role you will own the end-to-end delivery of advanced cloud infrastructure, from designing and coding new platform components through production hardening and operational support. You will work closely with teams in Poland and Israel, exercise high autonomy, and make strategic technical trade-offs that influence the reliability, security and cost-efficiency of Vetric’s global data pipelines. Your contributions—migrating container workloads, evolving IaC frameworks, scaling data-intensive systems and enforcing observability standards—will directly shape the performance and resilience of the product at scale.

Key Responsibilities:

• Architect and execute zero-downtime migration of container workloads from AWS ECS Fargate to Kubernetes (EKS).
• Design, develop and maintain modular Infrastructure as Code across multiple environments using Terraform and OpenTofu.
• Evolve enterprise CI/CD pipelines with GitHub Actions, OIDC federation and safe rollout strategies to improve deployment safety and developer velocity.
• Monitor and tune performance, capacity and resilience of high-volume data infrastructure including ClickHouse, ScyllaDB, DynamoDB, RDS and Redis.
• Implement and enforce reliability and observability standards using telemetry tools such as OpenTelemetry, Coralogix and Grafana.
• Make data-driven trade-offs balancing speed, security (least-privilege, zero-trust) and cost efficiency (FinOps).
• Collaborate across distributed teams to build secure, compliant and scalable cloud infrastructure aligned with organizational requirements.
• Own on-call rotations, incident management and operational response processes driven by signal over noise.

Required Competence and Skills:

• 5+ years of hands-on experience in DevOps, Infrastructure or Cloud Engineering in data-intensive, high-throughput environments.
• Advanced AWS expertise across compute, networking (VPC, DNS, segmentation), IAM and scalability patterns.
• Production-scale Kubernetes mastery (EKS), including cluster architecture, optimization and heavy-load operations.
• Expertise in Terraform or equivalent IaC tools plus scripting or software engineering in Python, Go or TypeScript; strong Bash skills.
• Deep understanding of container orchestration (Docker, ECS) and modern CI/CD practices with safe rollout mechanisms.
• Proven track record building observability and alerting stacks (metrics, logs, traces, SLOs) at scale.
• Strong communication skills, pragmatic leadership and ability to work autonomously in high-velocity teams.

Nice to Have:

• Direct experience migrating production workloads from ECS to Kubernetes.
• Familiarity with EKS ecosystem tools (Karpenter, ArgoCD/Flux, KEDA, VPC CNI).
• Experience operating wide-column or analytical databases at scale such as ClickHouse or ScyllaDB.

We’re looking for a Senior Data Engineer (7+ years of experience) to join a project for a client in the energy industry.

What you’ll do

• Design, develop, and improve data pipelines within an Azure Data Platform
• Integrate new data sources into existing Data Lake and analytics environments
• Work with Azure Databricks and build scalable data solutions
• Develop and improve KPI and reporting solutions
• Consolidate and transform data from multiple sources
• Contribute to data modeling, data preparation, and optimization of existing data structures
• Support the development of new KPI dashboards
• Build and deploy solutions following CI/CD practices
• Collaborate closely with Data Analysts, Business Stakeholders, and Product Owners

What we’re looking for

• 7+ years of experience in Data Engineering
• Strong hands-on experience with Microsoft Azure
• Strong expertise in Databricks / Azure Databricks
• Experience building and operating Data Lakes
• Good understanding of CI/CD for data environments
• Experience working with enterprise-scale data platforms
• Strong English communication skills
• Independent, pragmatic, and result-oriented approach

Nice to have

• Experience with AWS data services
• Background in KPI, reporting, or analytics projects
• Experience in the energy or utilities sector

Are you passionate about building cutting-edge, AI-ready data platforms from the ground up? We are looking for a Senior Data Engineer to join our Data Engineering Team and lead high-impact, greenfield initiatives.

You will work on building modern cloud-native data platforms, migrating on-premises legacy systems to the cloud, and laying the architectural foundation for AI-ready data infrastructure.

In this role, you will collaborate closely with Machine Learning, Data Science, and Product teams, serving as a key technical contributor and thought leader. You will also drive R&D efforts around agentic AI architectures, event-driven systems, and LLM-ready data pipelines — turning architectural concepts into production-grade solutions.

Responsibilities:

• Design and build scalable, cloud-native data platforms from greenfield to production
• Implement near-real-time ingestion pipelines using event-driven patterns
• Define and enforce platform standards, including Data Lake / Lakehouse principles, medallion architecture, and data contracts
• Refactor and optimise existing Spark and PySpark scripts for performance and maintainability
• Introduce best practices for code quality, testing, and CI/CD across data pipelines
• Drive adoption of AI tooling and agentic workflows within the data engineering team
• Ensure data quality, observability, and reliability across all pipelines and platforms

• Develop self-service tooling and microservices to simplify platform usage for other teams

   

Requirements:

• 5+ years of professional experience in Data Engineering
• Strong Python and SQL development skills for pipeline development and optimisation
• Proficiency in Apache Spark / PySpark, including query optimisation and performance tuning
• Hands-on experience with Databricks (preferred) or Snowflake
• Experience with at least one major cloud provider: Azure (preferred), AWS, or GCP
• Experience with stream processing technologies (Kafka, Spark Structured Streaming)
• Solid understanding of ETL/ELT patterns, data modelling (dimensional, Data Vault), and data warehousing
• Experience with orchestration tools (Apache Airflow, Azure Data Factory, or equivalent)
• Knowledge of Infrastructure as Code (Terraform or equivalent)
• Understanding of production-grade system requirements: reliability, scalability, observability, and performance

• Upper-Intermediate English level

   

Will be a plus

• Familiarity with RAG pipeline design and LLM integration patterns
• Knowledge of data governance frameworks and tools (Unity Catalog, Apache Atlas, or similar)
• Experience with dbt for data transformation and modelling

• Familiarity with MLflow, Feature Stores, or ML platform integration

   

Personal profile

• Self-driven and proactive in identifying improvements
• Comfortable working in a fast-paced, innovative environment
• Strong problem-solving mindset with attention to detail
• Open to experimenting with emerging technologies and approaches

_____________________________________________________________

Ти захоплюєшся створенням передових, AI-ready дата-платформ з нуля? Ми шукаємо Senior Data Engineer, щоб ти приєднався(-лася) до нашої команди Data Engineering та очолив(-ла) масштабні, інноваційні ініціативи з нуля.

Ти працюватимеш над побудовою сучасних хмарних дата-платформ, міграцією локальних (on-premises) легасі-систем у хмару та створенням архітектурного фундаменту для AI-ready дата-інфраструктури.

У цій ролі ти тісно співпрацюватимеш з командами Machine Learning, Data Science та Product, виступаючи ключовим технічним експертом та лідером думок. Також ти вестимеш R&D-роботи над agentic AI-архітектурами, подієво-орієнтованими системами та LLM-ready дата-пайплайнами — перетворюючи архітектурні концепції на готові до продакшену рішення.

Обовʼязки:

• Проєктувати та створювати масштабовані, хмарні дата-платформи від концепції до продакшену
• Реалізовувати пайплайни для майже реального часу (near-real-time ingestion) з використанням подієво-орієнтованих патернів
• Визначати та впроваджувати стандарти платформи, включно з принципами Data Lake / Lakehouse, медальйонною архітектурою та дата-контрактами
• Рефакторити та оптимізувати наявні скрипти на Spark та PySpark для підвищення продуктивності та зручності підтримки
• Запроваджувати найкращі практики якості коду, тестування та CI/CD для дата-пайплайнів
• Сприяти впровадженню AI-інструментів та agentic-підходів у команді дата-інженерів
• Забезпечувати якість, спостережуваність (observability) та надійність усіх пайплайнів і платформ

• Розробляти self-service інструменти та мікросервіси, що спрощують використання платформи іншими командами

   

Вимоги:

• 5+ років комерційного досвіду в Data Engineering
• Сильні навички розробки на Python та SQL для створення та оптимізації пайплайнів
• Впевнене володіння Apache Spark / PySpark, включно з оптимізацією запитів та налаштуванням продуктивності
• Практичний досвід роботи з Databricks (бажано) або Snowflake
• Досвід роботи з принаймні одним великим хмарним провайдером: Azure (бажано), AWS або GCP
• Досвід роботи з технологіями потокової обробки даних (Kafka, Spark Structured Streaming)
• Глибоке розуміння ETL/ELT-патернів, моделювання даних (dimensional, Data Vault) та побудови дата-складів
• Досвід роботи з інструментами оркестрації (Apache Airflow, Azure Data Factory або аналогами)
• Знання Infrastructure as Code (Terraform або аналогів)
• Розуміння вимог до продакшен-рішень: надійність, масштабованість, спостережуваність, продуктивність

• Рівень англійської — Upper-Intermediate

   

Буде плюсом:

• Знайомство з проєктуванням RAG-пайплайнів та патернами інтеграції LLM
• Знання фреймворків і інструментів для data governance (Unity Catalog, Apache Atlas або подібних)
• Досвід роботи з dbt для трансформації та моделювання даних

• Знайомство з MLflow, Feature Stores або інтеграцією з ML-платформами

   

Особистий профіль:

• Самомотивованість та проактивність у пошуку покращень
• Комфортна робота у швидкому та інноваційному середовищі
• Сильне аналітичне мислення та увага до деталей
• Відкритість до експериментів з новими технологіями та підходами

Required skills

As a Data Operations Engineer you will be responsible for managing applications and data infrastructure in production environments fully hosted in private clouds and on-premise data centers, taking overall responsibility for the quality of the data services that the company provides.

The technology stack is mainly: Linux, Docker, Kubernetes, Ansible, Jenkins, TeamCity, Aerospike, MariaDB, PostgreSQL, Vertica, Hadoop ecosystem, SingleStore, ELK stack, Kafka, Git.

Infrastructure: private clouds, on-premise data centers.

Responsibilities:

• Deep understanding of the company applications and IT infrastructure;
• Support existing data infrastructure;
• Participation in the creation of new infrastructure parts, documentation development, customer onboarding;
• Being a focal point for R&D teams;
• Participate in investigation process (in case of any issues/incident for specific R&D team);
• Providing solutions and support for critical IT environment.

Requirements:

• At least 3 years of practical experience in Linux administration;
• Experience with containerization and container orchestration systems (e.g. Kubernetes);
• Understanding of TCP/IP network stack;
• Good troubleshooting skills and basic application debugging;
• Understanding/experience with message queue systems (e.g. Apache Kafka);
• Acquaintance with MySQL, PostgreSQL, Aerospike (or other NoSQL solutions).

Nice to have:

• Experience with VCS (preferably Git);
• Experience with Hadoop ecosystem (HDFS, YARN, Spark, Hive);
• Experience with CI/CD systems such as Jenkins, TeamCity;
• Experience in managing systems with configuration management (Ansible).

OMNICORE is an international product and service company specializing in e-commerce. We create, develop, and manage online businesses for leading retail players in the fashion industry, with a focus on clothing, footwear, and accessories.

We combine consulting, design, web development, content production, marketing, customer service, and operational management to deliver comprehensive and effective omnichannel e-commerce solutions.
For over nine years, we have been helping our partners grow their online businesses. Our clients include  ua.puma.com, adidas.ua, adidas.kz,  adidas.kg, the marketplaces md-fashion.ua, ultra-shop.com, frgroup.kz, frgroup.uz, and others.

Since 2022, the company has expanded its operations to the Republic of Kazakhstan. We provide a full range of services, including eCommerce-as-a-Service (EaaS) and 3PL solutions, becoming a regional fulfillment hub.

We are looking for a DevOps Engineer to strengthen our team.

Requirements:

• At least 3 years of experience as a DevOps Engineer / SRE;
• English – strong Intermediate or higher;
• Experience with HA and HL would be a plus;
• OS: Linux (Ubuntu, Debian, Alpine);
• Application support: PHP (required), JS;
• Infrastructure: Ansible, Terraform, Docker;
• Cloud providers: Hetzner Cloud (strongly required!), GCP;
• Databases:
  • MySQL (standalone, master-slave, Percona cluster)
  • PostgreSQL (standalone, master-slave, Patroni cluster)
  • MongoDB (standalone, replicaset)
  • Elasticsearch (standalone, cluster)
  • Redis (standalone, Sentinel, cluster)
• HTTP/Proxy/LB: NGINX, HAProxy, Varnish, Cloud-managed load balancers;
• CI/CD: GitOps, Bitbucket Pipelines, SonarQube, Dependency-Track;
• Programming: Python, Bash scripting (PHP is a plus);
• Observability: ELK / OpenSearch stack, Prometheus / Grafana stack, Alerts management;
• InfoSec/Security: DevSecOps principles, Vault, Teleport.

Working conditions:

• Full-time, remote format;
• A young team with a great sense of humor;
• Paid vacation (24 calendar days) and sick leave;
• Personal learning & development budget;
• Career growth opportunities;
• Up to 20% discounts on our partners’ products;
• 50% discount on corporate English learning with Preply;
• Payment in UAH, not tied to currency fluctuations;
• Work schedule: Mon–Fri, 10:00 – 19:00. We operate in the Eastern European Time Zone (EET).

OMNICORE is a place where you can become part of a team of professionals, unlock your potential, and grow within dynamic e-commerce projects for international fashion brands.

 Apply now!