Uvik Software

We are expanding our Business Analysis team and are looking for a Business Analyst with  eCommerce expertise who wants to move beyond execution and operate closer to business, architecture, and delivery decisions.
 

🔑 What You Will Do:

• Lead discovery from initial client conversations to solution direction
• Translate business needs into scalable commerce solutions together with architects and delivery teams
• Identify opportunities to improve platforms, integrations, and customer journeys
• Support pre-sales through discovery workshops, scoping, and solution alignment
• Partner with Sales, Delivery, and Account teams to connect business value with execution
• Mentor Business Analysts and help evolve BA standards and practices
• Act as a trusted advisor helping clients make confident product and technology decisions

🧩 What We Expect:

• 3+ years of experience in Business Analysis, Product Discovery, or IT consulting
• Strong background in eCommerce and digital platforms
• Deep understanding of Shopify and/or Magento architectures and ecosystems
• Experience with integrations (ERP, PIM, CRM, payments, fulfillment systems)
• Understanding of performance optimization, data flows, and headless/composable approaches
• Experience supporting or participating in pre-sales engagements
• Ability to run discovery interviews and workshops with stakeholders
• Skill in structuring ambiguous inputs into clear roadmaps and solution directions
• Ability to explain technical decisions in terms of business value
• Experience in service-based environments where delivery and client impact both matter
• Advanced English (spoken and written)

We’re looking for a Technical (Python) Support Engineer to keep our production applications stable and fast during weekend shifts. You’ll handle incident triage, bug fixes, and small improvements while collaborating with the core team when escalation is needed. Shift: Full time on Weekdays (From Monday to Friday) 00:00 — 8:00 (GMT +3)

What you’ll do

• Maintain and troubleshoot Python/Django web applications
• Debug and optimize database performance (PostgreSQL)
• Operate core AWS services (EC2, S3)
• Diagnose issues with cross-functional teams and implement quick fixes
• Keep code changes clean, documented, and secure
• Handle end-user requests and provide technical assistance

What we’re looking for:

• English: Upper-Intermediate or higher
• Experience: 6+ months with Python & Django OR no commercial experience but:
   
  • Completed relevant courses/bootcamps (Python, Django, Databases, AWS)
  • Strong fundamentals (data types, HTTP/REST, Git, basic Linux, debugging)
  • Hands-on projects (pet projects, labs, internships) — GitHub links welcome
• Solid knowledge of PostgreSQL (or another relational DB)
• Basic familiarity with AWS (EC2, S3)
• Strong analytical and debugging skills
• Basic understanding of REST APIs and front-end basics (HTML, CSS, JavaScript)
• Clear communicator; comfortable working independently and in a team

Nice to have

• Docker, Kubernetes, and CI/CD pipelines
• Web application security best practices
• Experience in an Agile environment

What we offer

• Paid part-time weekend shifts
• Flexible choice of shift blocks
• Supportive team and transparent processes
• Fast track to real production experience

🚀 We’re on the hunt for a talented AI/ML Engineer to design, implement, and optimize cutting-edge AI/ML solutions. If you thrive on solving complex problems and creating production-ready models, we’d love to hear from you!

🎯 What You’ll Do:

• Develop and fine-tune AI/ML models for performance and scalability.
• Enhance production models, debug issues, and ensure reliability.
• Work with cross-functional teams to shape future AI/ML innovations.
• Explore emerging AI/ML technologies and recommend tools/frameworks.
• Build robust pipelines using Python, SQL, Docker, and more.

🧩 What We’re Looking For:

• Strong experience in AI/ML, data science, or data engineering.
• Expertise in Python, TensorFlow, Keras, Scikit-learn, and Generative AI.
• Familiarity with Docker, Streamlit, and data tools like Pandas and SQL.
• Strong communication skills and the ability to work independently.
• English: Upper-intermediate or higher.

🎯 We offer:

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays

• A normal, supportive team without unnecessary bureaucracy

   

Ready to shape the future of AI/ML with us? 🚀 Apply now and be part of something extraordinary!

🚀We are looking for an experienced Data Scientist for a full-time job to join our team.


🎯 Requirements:
-2+ years of experience as a data scientist
-BSc in Mathematics, Statistics, Computer Science, Economics, or another related field.
-Experience in using Python & SQL
-Experience with Airflow and GCP
-Experience with Git & CI/CD
-Upper Intermediate English — written and spoken
-Ability to design creative solutions for complex requirements
-Ability to learn and lead projects independently, and to work with minimal supervision with customers (tech & business)

🧩 Responsibilities:
-Conduct independent research, including defining research problems, creating research plans, designing experiments, developing algorithms, implementing code, and performing comprehensive comparisons against existing benchmarks;
-Clearly communicate your research findings to both technical and non-technical audiences
-Work on various data sources and apply sophisticated feature engineering capabilities
-Bring and use business knowledge
-Build and manage technical relationships with customers and partners.

🎯 We offer:

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays
• A normal, supportive team without unnecessary bureaucracy

🚀We are looking for a Middle+/Senior Data Engineer to join a long-term data platform project. The role is focused on building, maintaining, and optimizing scalable data pipelines, data warehouses, and cloud-based data platforms for high-load business environments.

The ideal candidate has strong hands-on experience with Python, SQL, Spark/PySpark, cloud data services, and modern ETL/ELT pipelines. Experience with AWS is highly important, while Databricks, Snowflake, BigQuery, dbt, Airflow, Kafka/Kinesis, and Terraform are strong advantages.

🧩Responsibilities:

• Design, build, and maintain scalable batch and near-real-time data pipelines.
• Develop and optimize ETL/ELT workflows using Python, SQL, Spark/PySpark, Airflow, dbt, or similar tools.
• Work with cloud-based data platforms and services, especially AWS.
• Build and support data lakes, lakehouse architectures, and data warehouses.
• Integrate data from APIs, databases, SaaS tools, files, and streaming/event-based sources.
• Optimize data processing performance, query execution, partitioning, and storage costs.
• Ensure data quality, reliability, monitoring, logging, and validation across pipelines.
• Collaborate with engineers, analysts, BI teams, data scientists, and business stakeholders.
• Support documentation, data modeling, and data dictionary creation where needed.
• Contribute to CI/CD, infrastructure automation, and cloud data platform improvements.

🔑Requirements:

• 3-5 years of experience in Data Engineering or closely related roles.
• Strong hands-on experience with Python, SQL, and Spark/PySpark.
• Experience building and maintaining production-grade ETL/ELT pipelines.
• Strong understanding of data warehouses, data lakes, lakehouse architectures, and data modeling.
• Experience with AWS data services such as S3, Glue, Lambda, Athena, EMR, Redshift, Firehose, Kinesis, SQS, or EventBridge.
• Experience with orchestration and transformation tools such as Airflow, dbt, Prefect, Dagster, or similar.
• Experience with at least one modern data platform: Databricks, Snowflake, BigQuery, Redshift, or similar.
• Understanding of data quality, monitoring, observability, and performance optimization.
• Experience with Git, CI/CD, Docker, Terraform, AWS CDK, or other DevOps/IaC tools.
• Ability to work independently, communicate clearly, and take ownership of delivery.

• English level: Upper-Intermediate or higher.

   

🧩Nice to Have:

• Experience with Kafka, Kinesis, Pub/Sub, or other streaming/event-driven technologies.
• Experience with Delta Lake, Iceberg, Hudi, or other lakehouse table formats.
• Experience with Kubernetes.
• Experience in high-load, fintech, healthcare, telecom, eCommerce, SaaS, or analytics-heavy products.
• Experience with BI/reporting tools such as Tableau, Looker, Metabase, Power BI, or similar.
• Exposure to AI/ML or LLM-related data workflows.
• Experience with GCP or Azure data services.

🎯We Offer: 

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays
• A normal, supportive team without unnecessary bureaucracy

🚀Join a team where data drives impact

At Uvik Software, we build world-class dedicated development teams and deliver high-quality software solutions to clients worldwide.

We’re passionate about clean code, strong collaboration, and modern technologies. Now, we’re looking for a Data Analyst who thrives on transforming data into strategic insights and has a solid background with Snowflake.
 

🎯About the Role

As a Data Analyst, you will play a key role in unlocking the value of data for our clients. You’ll work with modern cloud data infrastructures, focusing on Snowflake, to support high-impact analytics projects.
 

🔑Responsibilities

• Analyze large-scale datasets using SQL, delivering clear, actionable insights
• Perform advanced querying, profiling, and data transformation directly in Snowflake
• Design and maintain ETL pipelines for efficient data preparation
• Build interactive dashboards and reports using Power BI or Tableau
• Access and manage cloud data via AWS services (e.g., S3, Glue, Redshift)
   

🧩Requirements

• 5+ years of experience as a Data Analyst working with large datasets
• 2+ years of hands-on experience with Snowflake (querying, modeling, optimization)
• Strong SQL skills for complex querying and transformations
• Proficiency with data visualization tools: Power BI and/or Tableau
• Solid understanding of ETL processes, data modeling, and data warehousing
• Experience with AWS data tools (S3, Glue, Redshift)
• Strong English communication skills (verbal and written)
   

🌍 What We Offer:

We provide an environment where each specialist can grow professionally and work on exciting, high-impact projects.

• Working conditions: Contract model: B2B or FOP
• 18 paid vacation days per year/ 12 paid sick leave days.
• Performance review every 6 months
• Paid professional development — courses, certifications.
• English lessons — 50% compensated.
• Comfortable equipment: MacBook + corporate package.
• Flexible schedule and a supportive, friendly team.
   

Join us at Uvik and help turn data into smart decisions.

🚀 Apply now and be part of a tech-driven, globally distributed team!

🚀Technical Support Engineer (night shifts) full time position

We’re looking for a Technical Support Engineer to join our remote team and ensure smooth operation of our applications during week days .

Schedule: Monday–Friday:

00:00–08:00 (GMT+3)

Location: Remote

🎯What you’ll do

• Provide prompt, professional support via chat, email, and ticketing tools
• Monitor infrastructure & app health to ensure uptime and performance
• Troubleshoot bugs; escalate critical issues to the engineering team when needed
• Run routine checks on cloud services and resolve infra-level problems
• Log incidents, track resolutions, and evolve our internal knowledge base
• Partner with Engineering & QA for smooth handovers and clear communication

🧩What we’re looking for: 

• Сonversational English level: at least Upper-Intermediate, and if it's higher, that's even better.
• 6+ months experience with Python & Django OR no commercial experience but:
  • Completed relevant courses/bootcamps (e.g., Python, Django, Databases, AWS)
  • Strong technical fundamentals (data types, HTTP, REST, git, basic Linux, debugging)
  • Hands-on projects (pet projects, labs, or internships) — GitHub links welcome
• Good knowledge of PostgreSQL (or another relational DB)
• Familiarity with AWS (EC2, S3) — basics are fine
• Solid analytical & debugging skills
• Basic understanding of REST APIs and front-end (HTML, CSS, JavaScript)
• Clear communicator; comfortable working independently and as part of a team

Nice to have

• Experience with Docker/Kubernetes and CI/CD pipelines
• Knowledge of web app security principles
• Background in Agile/Scrum environments

🎯We Offer:

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays

• A normal, supportive team without unnecessary bureaucracy

   

If you like staying ahead of problems and owning the night shift, we’d love to hear from you.

You will work on scalable AI solutions, developer-focused tools, workflow automation, and AI capabilities that improve engineering productivity and deliver real business value for clients.

Responsibilities:

— Design, build, and deploy LLM-based applications and agentic AI systems from prototype to production.

— Develop production-grade AI agents, multi-agent systems, and tool-using workflows.

— Implement RAG pipelines over proprietary and third-party data sources.

— Build and maintain vector databases for AI data storage, retrieval, and search.

— Design and implement AI-powered capabilities such as code assistance, documentation generation, test automation, summarization, knowledge discovery, and code review support.

— Evaluate foundation models such as OpenAI, Anthropic, Gemini, Llama, and other commercial or open-weight models.

— Build LLM evaluation and benchmarking pipelines, including offline tests, online monitoring, human-in-the-loop review, and quality measurement.

— Improve model performance across relevance, faithfulness, latency, throughput, reliability, and cost.

— Design and maintain APIs, backend services, integrations, data flows, and custom tools for AI systems.

— Build custom tools, skills, integrations, and MCP-style server/client patterns for agentic workflows.

— Deploy, monitor, and optimize AI systems on cloud platforms, with a focus on scalability, reliability, observability, and cost efficiency.

Requirements: 

— 2+ years of hands-on experience building and deploying LLM-based applications, RAG systems, or AI agents in production.

— Strong Python experience, ideally 3+ years.

— Experience building backend systems, APIs, services, integrations, and data flows.

— Experience with object-oriented programming, backend architecture, design patterns, and production system design.

— Hands-on experience with LangChain, LangGraph, or similar AI orchestration frameworks.

— Strong experience designing agentic AI systems, tool-using agents, or multi-step AI workflows.

— Experience with RAG architecture, including chunking strategies, embeddings, vector databases, reranking, and retrieval evaluation.

— Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, Milvus, or similar.

— Experience with LLM evaluation and benchmarking, including designing evaluation pipelines and measuring model performance.

— Strong prompt design, prompt iteration, and prompt optimization skills.

— Experience working with major model providers or open-weight models such as OpenAI, Anthropic, Gemini, Llama, or similar.

— Cloud experience with AWS, GCP Vertex AI, Azure AI Foundry, or similar platforms.

— Familiarity with AI safety, responsible AI, guardrails, and output validation for production systems.

— Experience with CI/CD pipelines, deployment workflows, and engineering best practices.

We offer:

— remote time job, B2B contract
— 12 sick leaves and 18 paid vacation business days per year
— Comfortable work conditions (including MacBook Pro and Dell monitor on each workplace)
— Smart environment
— Flexible work schedule
— Competitive salary according to the qualifications

Uvik Software

Опис

🚀Join a team where data drives impact

At Uvik Software, we build world-class dedicated development teams and deliver high-quality software solutions to clients worldwide.

We’re passionate about clean code, strong collaboration, and modern technologies. Now, we’re looking for a Data Analyst who thrives on transforming data into strategic insights and has a solid background with Snowflake.


🎯About the Role

As a Data Analyst, you will play a key role in unlocking the value of data for our clients. You’ll work with modern cloud data infrastructures, focusing on Snowflake, to support high-impact analytics projects.


🔑Responsibilities

Analyze large-scale datasets using SQL, delivering clear, actionable insights
Perform advanced querying, profiling, and data transformation directly in Snowflake
Design and maintain ETL pipelines for efficient data preparation
Build interactive dashboards and reports using Power BI or Tableau
Access and manage cloud data via AWS services (e.g., S3, Glue, Redshift)
🧩Requirements

5+ years of experience as a Data Analyst working with large datasets
2+ years of hands-on experience with Snowflake (querying, modeling, optimization)
Strong SQL skills for complex querying and transformations
Proficiency with data visualization tools: Power BI and/or Tableau
Solid understanding of ETL processes, data modeling, and data warehousing
Experience with AWS data tools (S3, Glue, Redshift)
Strong English communication skills (verbal and written)

🌍 What We Offer:

We provide an environment where each specialist can grow professionally and work on exciting, high-impact projects.

1) Paid vacation and sick leave 
2)We provide the equipment you need to work comfortably (if required) 
3)We cover 50% of courses if you want to grow professionally 4)Regular salary reviews based on your performance 
5) Competitive salary, depending on your experience 
6) Always on-time payments — no delays 
7)A normal, supportive team without unnecessary bureaucracy

🚀 Apply now and be part of a tech-driven, globally distributed team!

About the Role

We are looking for a Data Engineer to design and implement scalable data pipelines that support Generative AI applications. You will work with large-scale datasets, optimize performance, and ensure seamless data integration across AI workflows.

Responsibilities:

• Design and develop scalable data pipelines to support AI/ML models.
• Work with structured and unstructured data for training and inference.
• Optimize ETL workflows for real-time and batch processing.
• Ensure data quality, governance, and security in cloud environments.
• Collaborate with AI/ML engineers to streamline data workflows.

• Deploy and manage data infrastructure on AWS, GCP, or Azure.

   

Requirements:

• 4+ years of experience in Data Engineering and Big Data technologies.
• Expertise in ETL pipelines, data warehousing, and distributed computing.
• Strong knowledge of SQL, NoSQL, and data lakes.
• Experience with cloud-based data services (AWS Glue, BigQuery, Azure Data Factory).
• Proficiency in Python, Spark, Kafka, Airflow.
• Experience with CI/CD, DevOps, and Agile methodologies.

What You’ll Get at Uvik:

• Generous paid time off: 18 vacation days + 12 sick leaves annually.
• Top-tier gear: MacBook Pro + Dell Monitor provided.
• Flexibility: manage your schedule, work fully remote, and keep a healthy work-life balance.
• Challenging projects: work with global clients and the latest technologies.
• Growth opportunities: we invest in your development and support career advancement.
• Competitive salary in a fast-growing international company.

We’re looking for a Technical (Python) Support Engineer to keep our production applications stable and fast during weekend shifts. You’ll handle incident triage, bug fixes, and small improvements while collaborating with the core team when escalation is needed.

Shift on Weekdays (From Monday to Friday) 15:00-23:00 (GMT +3)
 

What you’ll do

• Maintain and troubleshoot Python/Django web applications
• Debug and optimize database performance (PostgreSQL)
• Operate core AWS services (EC2, S3)
• Diagnose issues with cross-functional teams and implement quick fixes
• Keep code changes clean, documented, and secure
• Handle end-user requests and provide technical assistance
   

What we’re looking for:

• English: Upper-Intermediate or higher
• Experience: 6+ months with Python & Django OR no commercial experience but:
  
   
  • Completed relevant courses/bootcamps (Python, Django, Databases, AWS)
  • Strong fundamentals (data types, HTTP/REST, Git, basic Linux, debugging)
  • Hands-on projects (pet projects, labs, internships) — GitHub links welcome
• Solid knowledge of PostgreSQL (or another relational DB)
• Basic familiarity with AWS (EC2, S3)
• Strong analytical and debugging skills
• Basic understanding of REST APIs and front-end basics (HTML, CSS, JavaScript)
• Clear communicator; comfortable working independently and in a team
   

Nice to have

• Docker, Kubernetes, and CI/CD pipelines
• Web application security best practices
• Experience in an Agile environment
   

We offer:

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays
• A normal, supportive team without unnecessary bureaucracy

We’re looking for a Technical (Python) Support Engineer to keep our production applications stable and fast during weekend shifts. You’ll handle incident triage, bug fixes, and small improvements while collaborating with the core team when escalation is needed. Shift: Full time on Weekdays (From Monday to Friday) 00:00 — 8:00 (GMT +3)

What you’ll do

• Maintain and troubleshoot Python/Django web applications
• Debug and optimize database performance (PostgreSQL)
• Operate core AWS services (EC2, S3)
• Diagnose issues with cross-functional teams and implement quick fixes
• Keep code changes clean, documented, and secure
• Handle end-user requests and provide technical assistance

What we’re looking for:

• English: Upper-Intermediate or higher
• Experience: 6+ months with Python & Django OR no commercial experience but:
   
  • Completed relevant courses/bootcamps (Python, Django, Databases, AWS)
  • Strong fundamentals (data types, HTTP/REST, Git, basic Linux, debugging)
  • Hands-on projects (pet projects, labs, internships) — GitHub links welcome
• Solid knowledge of PostgreSQL (or another relational DB)
• Basic familiarity with AWS (EC2, S3)
• Strong analytical and debugging skills
• Basic understanding of REST APIs and front-end basics (HTML, CSS, JavaScript)
• Clear communicator; comfortable working independently and in a team

Nice to have

• Docker, Kubernetes, and CI/CD pipelines
• Web application security best practices
• Experience in an Agile environment

What we offer

• Paid part-time weekend shifts
• Flexible choice of shift blocks
• Supportive team and transparent processes
• Fast track to real production experience

We’re on the hunt for a talented AI/ML Engineer to design, implement, and optimize cutting-edge AI/ML solutions. If you thrive on solving complex problems and creating production-ready models, we’d love to hear from you!

.  What You’ll Do:

• Develop and fine-tune AI/ML models for performance and scalability.
• Enhance production models, debug issues, and ensure reliability.
• Work with cross-functional teams to shape future AI/ML innovations.
• Explore emerging AI/ML technologies and recommend tools/frameworks.
• Build robust pipelines using Python, SQL, Docker, and more.

.  What We’re Looking For:

• Strong experience in AI/ML, data science, or data engineering.
• Expertise in Python, TensorFlow, Keras, Scikit-learn, and Generative AI.
• Familiarity with Docker, Streamlit, and data tools like Pandas and SQL.
• Strong communication skills and the ability to work independently.

• English: Upper-intermediate or higher.

   

  What We Offer:

✔️ 18 vacation days + 12 sick leaves annually.
✔️ A high-tech workplace (MacBook Pro + Dell monitor).
✔️ Exciting projects with cutting-edge technologies.
✔️ Flexible work hours and competitive salary.
 

Ready to shape the future of AI/ML with us? 🚀 Apply now and be part of something extraordinary!

You will work on scalable AI solutions, developer-focused tools, workflow automation, and AI capabilities that improve engineering productivity and deliver real business value for clients.
 

Responsibilities:

— Design, build, and deploy LLM-based applications and agentic AI systems from prototype to production.

— Develop production-grade AI agents, multi-agent systems, and tool-using workflows.

— Implement RAG pipelines over proprietary and third-party data sources.

— Build and maintain vector databases for AI data storage, retrieval, and search.

— Design and implement AI-powered capabilities such as code assistance, documentation generation, test automation, summarization, knowledge discovery, and code review support.

— Evaluate foundation models such as OpenAI, Anthropic, Gemini, Llama, and other commercial or open-weight models.

— Build LLM evaluation and benchmarking pipelines, including offline tests, online monitoring, human-in-the-loop review, and quality measurement.

— Improve model performance across relevance, faithfulness, latency, throughput, reliability, and cost.

— Design and maintain APIs, backend services, integrations, data flows, and custom tools for AI systems.

— Build custom tools, skills, integrations, and MCP-style server/client patterns for agentic workflows.

— Deploy, monitor, and optimize AI systems on cloud platforms, with a focus on scalability, reliability, observability, and cost efficiency.

— Collaborate with solution architects, engineers, product stakeholders, and delivery teams to translate business problems into technical solutions.

— Participate in architecture discussions, code reviews, design reviews, and technical decision-making.

— Troubleshoot production issues, system bottlenecks, and AI performance problems.

— Document system designs, development processes, technical decisions, and best practices.

— Mentor other engineers and help improve engineering quality across the team.

— Stay up to date with the fast-moving AI, LLM, and agentic AI landscape.

Requirements

— 2+ years of hands-on experience building and deploying LLM-based applications, RAG systems, or AI agents in production.

— Strong software engineering fundamentals and ability to write clean, maintainable, production-ready code.

— Strong Python experience, ideally 3+ years.

— Experience building backend systems, APIs, services, integrations, and data flows.

— Experience with object-oriented programming, backend architecture, design patterns, and production system design.

— Hands-on experience with LangChain, LangGraph, or similar AI orchestration frameworks.

— Strong experience designing agentic AI systems, tool-using agents, or multi-step AI workflows.

— Experience with RAG architecture, including chunking strategies, embeddings, vector databases, reranking, and retrieval evaluation.

— Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, Milvus, or similar.

— Experience with LLM evaluation and benchmarking, including designing evaluation pipelines and measuring model performance.

— Strong prompt design, prompt iteration, and prompt optimization skills.

— Experience working with major model providers or open-weight models such as OpenAI, Anthropic, Gemini, Llama, or similar.

— Cloud experience with AWS, GCP Vertex AI, Azure AI Foundry, or similar platforms.

— Experience with production testing, observability, monitoring, performance optimization, and cost optimization.

— Solid understanding of algorithms, data structures, machine learning concepts, and data engineering fundamentals.

— Familiarity with AI safety, responsible AI, guardrails, and output validation for production systems.

— Experience with CI/CD pipelines, deployment workflows, and engineering best practices.

— Strong problem-solving, analytical, collaboration, and communication skills.

We offer:
— remote time job, B2B contract
— 12 sick leaves and 18 paid vacation business days per year
— Comfortable work conditions (including MacBook Pro)
— Smart environment
— Interesting projects from renowned clients
— Competitive salary according to the qualifications
 

We are looking for 2 experienced Data Engineers to join an international project focused on ETL modernization, workflow orchestration, and migration to modern data platforms.

The role involves redesigning and optimizing existing ETL processes, converting T-SQL logic into scalable Spark/Databricks solutions, and improving overall data pipeline performance within a modern cloud-driven environment.

Project Details

• Start: August 2026
• Duration: Until December 2026+ (extension possible)
• Workload: Full-time
• Location: Vienna / Bratislava (hybrid) or remote with willingness to travel on-site regularly
• Language: Fluent English required; German is a strong plus

Responsibilities

• Rewrite and migrate existing ETL/ELT pipelines
• Convert complex T-SQL logic into Spark / Databricks jobs
• Design and maintain workflow orchestration processes
• Optimize data pipelines for scalability and performance (partitioning, caching, tuning, etc.)
• Collaborate across analysis, development, testing, and implementation phases
• Contribute to modern data engineering standards and best practices

Requirements

• Strong analytical mindset with the ability to move from business analysis to technical solution design and testing
• Strong hands-on experience with SQL and Python
• Solid experience with Spark and Databricks
• Experience building and maintaining ETL/ELT pipelines
• Experience with tools such as SSIS, Azure Data Factory, or Databricks Workflows
• Strong understanding of data transformation and performance optimization
• Proactive, solution-oriented working style
• Interest in modern technologies, standards, and forward-thinking approaches

We offer:

•  Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
•  Always on-time payments — no delays
• A normal, supportive team without unnecessary bureaucracy