Uvik Software

About the Role:

We are looking for an experienced Senior Data Engineer to join our team and help build scalable, secure, and high-performance data platforms. In this role, you will work closely with Data Architects, Engineers, Analysts, DevOps specialists, and Data Scientists to design, develop, and optimize modern cloud-based data ecosystems.

This is a full-time remote position for a senior-level professional who can commit 40 hours per week and take ownership of complex data engineering initiatives.

Responsibilities:

As a Senior Data Engineer, you will:

* Collaborate with Data Architects on designing and implementing data solutions across Azure, AWS, or IBM Cloud environments

* Build, maintain, and optimize modern data ecosystems and data pipelines

* Develop and support data ingestion, transformation, and processing solutions

* Work closely with cross-functional teams, including Data Engineers, Analysts, DevOps Engineers, and Data Scientists

* Implement security best practices to ensure the reliability and protection of cloud infrastructure and data processes

* Apply modern engineering principles and methodologies to support business growth and innovation

* Identify opportunities to improve data quality, reliability, scalability, efficiency, and overall platform performance

* Optimize data solutions to balance performance, maintainability, and cost-effectiveness

* Design and execute unit, system, and integration testing strategies

* Contribute to continuous improvement initiatives and engineering best practices

Requirements:

* Strong commercial experience as a Data Engineer

* Advanced proficiency in Python for data processing, transformation, and analysis

* Strong expertise in SQL, including query optimization and database performance tuning

* Hands-on experience with Azure and/or AWS data platforms and services

* Experience designing and maintaining scalable cloud-based data solutions

* Solid understanding of data engineering best practices, data modeling, and ETL/ELT processes

* Experience with software development lifecycle methodologies and Agile environments

Nice to Have:

* Experience with IBM Cloud data services

* Knowledge of data governance and cloud security practices

* Experience working in enterprise-scale data environments

What 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

About the Role:

We are looking for an experienced Senior Data Engineer to join our team and help build scalable, secure, and high-performance data platforms. In this role, you will work closely with Data Architects, Engineers, Analysts, DevOps specialists, and Data Scientists to design, develop, and optimize modern cloud-based data ecosystems.

This is a full-time remote position for a senior-level professional who can commit 40 hours per week and take ownership of complex data engineering initiatives.

🔹 Responsibilities:

As a Senior Data Engineer, you will:

* Collaborate with Data Architects on designing and implementing data solutions across Azure, AWS, or IBM Cloud environments

* Build, maintain, and optimize modern data ecosystems and data pipelines

* Develop and support data ingestion, transformation, and processing solutions

* Work closely with cross-functional teams, including Data Engineers, Analysts, DevOps Engineers, and Data Scientists

* Implement security best practices to ensure the reliability and protection of cloud infrastructure and data processes

* Apply modern engineering principles and methodologies to support business growth and innovation

* Identify opportunities to improve data quality, reliability, scalability, efficiency, and overall platform performance

* Optimize data solutions to balance performance, maintainability, and cost-effectiveness

* Design and execute unit, system, and integration testing strategies

* Contribute to continuous improvement initiatives and engineering best practices

🔹 Requirements:

* Strong commercial experience as a Data Engineer

* Advanced proficiency in Python for data processing, transformation, and analysis

* Strong expertise in SQL, including query optimization and database performance tuning

* Hands-on experience with Azure and/or AWS data platforms and services

* Experience designing and maintaining scalable cloud-based data solutions

* Solid understanding of data engineering best practices, data modeling, and ETL/ELT processes

* Experience with software development lifecycle methodologies and Agile environments

Nice to Have:

* Experience with IBM Cloud data services

* Knowledge of data governance and cloud security practices

* Experience working in enterprise-scale data environments

🌍 What 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

🚀 Senior Data Engineer (EU)

About the Role:

We are looking for an experienced Senior Data Engineer to join our team and help build scalable, secure, and high-performance data platforms. In this role, you will work closely with Data Architects, Engineers, Analysts, DevOps specialists, and Data Scientists to design, develop, and optimize modern cloud-based data ecosystems.

This is a full-time remote position for a senior-level professional who can commit 40 hours per week and take ownership of complex data engineering initiatives.

🔹 Responsibilities:

As a Senior Data Engineer, you will:

* Collaborate with Data Architects on designing and implementing data solutions across Azure, AWS, or IBM Cloud environments

* Build, maintain, and optimize modern data ecosystems and data pipelines

* Develop and support data ingestion, transformation, and processing solutions

* Work closely with cross-functional teams, including Data Engineers, Analysts, DevOps Engineers, and Data Scientists

* Implement security best practices to ensure the reliability and protection of cloud infrastructure and data processes

* Apply modern engineering principles and methodologies to support business growth and innovation

* Identify opportunities to improve data quality, reliability, scalability, efficiency, and overall platform performance

* Optimize data solutions to balance performance, maintainability, and cost-effectiveness

* Design and execute unit, system, and integration testing strategies

* Contribute to continuous improvement initiatives and engineering best practices

🔹 Requirements:

* Strong commercial experience as a Data Engineer

* Advanced proficiency in Python for data processing, transformation, and analysis

* Strong expertise in SQL, including query optimization and database performance tuning

* Hands-on experience with Azure and/or AWS data platforms and services

* Experience designing and maintaining scalable cloud-based data solutions

* Solid understanding of data engineering best practices, data modeling, and ETL/ELT processes

* Experience with software development lifecycle methodologies and Agile environments

Nice to Have:

* Experience with IBM Cloud data services

* Knowledge of data governance and cloud security practices

* Experience working in enterprise-scale data environments

🌍 What 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

🎯 About the Role

We are looking for an experienced Data Analyst to help clients transform complex data into clear insights and actionable business recommendations.

You will work with modern cloud data platforms, primarily Snowflake, analyze large datasets, build dashboards, and collaborate with technical and business stakeholders.

🔑 Responsibilities

- Analyze large datasets using SQL and identify meaningful trends, patterns, and business opportunities.

- Translate business questions into analytical requirements, reports, and measurable metrics.

- Write and optimize complex SQL queries in Snowflake.

- Perform data exploration, profiling, validation, and transformation.

- Build and maintain dashboards and reports using Power BI or Tableau.

- Define and monitor KPIs together with business and product stakeholders.

- Identify data quality issues and collaborate with engineering teams to resolve them.

- Support data modeling and preparation of analytics-ready datasets.

- Clearly communicate findings and recommendations to technical and non-technical stakeholders.

🧩 Requirements

- 5+ years of commercial experience as a Data Analyst, BI Analyst, Product Analyst, or in a similar role.

- Strong SQL skills, including complex queries, joins, window functions, aggregations, and query optimization.

- Practical experience working with Snowflake.

- Experience building dashboards and reports using Power BI or Tableau.

- Strong understanding of data modeling, data warehousing, and analytics-ready datasets.

- Experience working with large and complex datasets.

- Ability to translate business requirements into analytical solutions.

- Strong understanding of data quality, validation, and reconciliation.

- Strong analytical and problem-solving skills.

- Ability to clearly present insights and recommendations to business stakeholders.

- English level: Upper-Intermediate or higher

🧩 Nice to Have

- Experience with ETL or ELT processes and data transformation pipelines.

- Experience with AWS services such as S3, Glue, Athena, or Redshift.

- Experience with dbt or similar data transformation tools.

- Experience with Python for data analysis and automation.

- Experience with dimensional modeling and star schema.

- Familiarity with Git and CI/CD workflows.

- Experience working directly with external clients.

🧩You'll have an opportunity to:

Work with modern cloud data platforms and analytics technologies.

Analyze complex business data and influence data-driven decisions.

Collaborate with international engineering and product teams.

Build dashboards and reporting solutions used by business stakeholders.

Grow your expertise in cloud analytics, BI, and modern data platforms.

🚀 We are looking for a Middle+/Senior Data Engineer to join a long-term data platform project.

 

The role is focused on designing, building, and maintaining reliable data pipelines and cloud-based data platforms for high-load business environments. The ideal candidate has strong hands-on experience with Python, SQL, ETL/ELT processes, and AWS data services.

🎯 Responsibilities

 

- Design, build, and maintain scalable batch and near-real-time data pipelines.

- Develop ETL/ELT workflows using Python, SQL, and modern data engineering tools.

- Integrate data from APIs, databases, files, SaaS platforms, and event-based sources.

- Build and support data lakes, data warehouses, and analytics-ready datasets.

- Improve pipeline performance, reliability, scalability, and cost efficiency.

- Implement data quality checks, monitoring, logging, validation, and alerting.

- Troubleshoot production data issues and identify root causes.

- Collaborate with data analysts, BI engineers, data scientists, software engineers, and business stakeholders.

- Maintain technical documentation, data models, and pipeline specifications.

- Contribute to CI/CD, infrastructure automation, and cloud platform improvements.

 

🧩 Requirements

 

- 3+ years of commercial experience in Data Engineering or a closely related role.

- Strong hands-on experience with Python.

- Strong SQL skills, including complex transformations and query optimisation.

- Practical experience building and maintaining production-grade ETL/ELT pipelines.- Experience working with AWS data services, particularly S3 and at least one of the following:

  - AWS Glue;

  - Athena;

  - EMR;

  - Redshift;

  - Lambda.

- Experience with at least one orchestration or transformation tool such as Airflow, dbt, Prefect, Dagster, or similar.

- Experience working with at least one cloud data warehouse or data platform such as Snowflake, Databricks, BigQuery, or Redshift.

- Strong understanding of data warehousing, data lakes, data modelling, partitioning, and file formats.

- Experience implementing data quality checks, monitoring, and error handling.

- Experience with Git and CI/CD workflows.

- Ability to independently investigate issues, make technical decisions, and take ownership of delivery.

- English level: Upper-Intermediate or higher.

 

🧩 Nice to Have

 

- Experience with Spark or PySpark.

- Experience with Kafka, Kinesis, Pub/Sub, or other streaming technologies.

- Experience with Delta Lake, Apache Iceberg, or Apache Hudi.

- Experience with Terraform, AWS CDK, or another Infrastructure as Code tool.

- Experience with Docker or Kubernetes.

- Experience with high-load or analytics-heavy products.

- Experience with GCP or Azure data services.

- Experience supporting AI/ML or LLM-related data pipelines.

🧩You'll have an opportunity to:

Build scalable data platforms using modern cloud technologies.

Work with large datasets and production-grade data pipelines.

Collaborate with experienced international engineering teams.Solve complex data engineering challenges across different industries.

Continuously develop your technical expertise with modern data tools and cloud services.

Take ownership of features and contribute to high-quality engineering practices.

🚀 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 AI Engineer to build scalable AI-powered applications, developer tools, and workflow automation solutions that improve engineering productivity and deliver measurable business value.

This role is ideal for a strong Python engineer with hands-on experience building and deploying LLM-based applications. You will work on solutions involving RAG, AI agents, model integrations, backend services, and AI evaluation.

🎯 Responsibilities

- Design, build, and deploy LLM-powered applications from prototype to production.

- Develop AI agents, tool-using workflows, and multi-step automation solutions.

- Build and improve RAG pipelines using internal and third-party data sources.

- Integrate commercial and open-weight models such as OpenAI, Anthropic Claude, Google Gemini, and Llama-based models.

- Develop AI-powered capabilities such as code assistance, document generation, summarisation, knowledge search, and workflow automation.

- Build backend services, APIs, integrations, and data flows using Python.

- Implement embeddings, vector search, reranking, structured outputs, and tool calling.

- Evaluate AI outputs and improve relevance, accuracy, reliability, latency, and cost efficiency.

- Add logging, monitoring, error handling, fallback mechanisms, and output validation to AI systems.

- Deploy and maintain AI services in cloud environments.

- Collaborate with product, engineering, and business teams to deliver production-ready AI solutions.

🧩 Requirements

- 3+ years of commercial Python development experience.

- Hands-on experience building and deploying LLM-powered applications.

- Practical experience with at least one of the following:

  - RAG systems;

  - AI agents;

  - multi-step LLM workflows.

- Experience developing backend systems, REST APIs, integrations, and data flows.

- Experience with FastAPI, Django, Flask, or another Python backend framework.

- Hands-on experience with LangChain, LangGraph, LlamaIndex, or a similar AI orchestration framework.

- Experience working with OpenAI, Anthropic, Gemini, Llama-based models, or similar technologies.

- Practical understanding of prompt design, structured outputs, tool calling, and output validation.

- Experience with embeddings, vector search, and at least one vector database.

- Understanding of RAG concepts such as chunking, retrieval, reranking, and response generation.

- Experience evaluating and improving LLM output quality.

- Experience with Docker, Git, automated testing, and CI/CD workflows.

- Experience deploying applications to AWS, Azure, GCP, or another cloud platform.

- Understanding of common production AI challenges, including hallucinations, latency, rate limits, reliability, and cost control.

- English level: Upper-Intermediate or higher.
 

🧩 Nice to Have

- Experience with multi-agent systems.

- Experience building custom tools for AI agents.

- Familiarity with MCP servers, clients, or MCP-based integrations.

- Experience with LLM evaluation and observability tools such as LangSmith, Langfuse, Arize Phoenix, or similar.

- Experience with advanced retrieval techniques, hybrid search, or retrieval evaluation.

- Experience working with open-weight models and model-serving solutions.

- Familiarity with AI safety, guardrails, prompt injection protection, and responsible AI practices.

- Experience with Kubernetes or scalable AI service deployment.

- Experience building AI-powered developer tools.

🧩You'll have an opportunity to:

Build production-ready AI applications used by real users.

Work with modern LLM technologies, AI agents, and RAG systems.

Collaborate with experienced international engineering teams.

Gain hands-on experience with rapidly evolving AI frameworks and cloud platforms.

Solve challenging engineering problems and contribute to scalable AI solutions.

Continuously grow your expertise in Generative AI and modern software engineering

We're looking for an SEO professional who enjoys solving complex SEO challenges at scale.

This is not a traditional Link Building or Outreach role. We're looking for someone who thinks in systems, builds scalable processes, and leverages automation to drive long-term organic growth rather than relying solely on manual outreach.

You'll work on growing the authority and visibility of a large portfolio of international websites, where the challenge isn't optimizing a single project—it's designing repeatable SEO processes that deliver results across hundreds of domains.

What You'll Do

• Develop and execute scalable off-page SEO strategies across a portfolio of international websites.
• Design, improve, and optimize scalable link acquisition processes instead of relying solely on traditional outreach.
• Research, test, and implement new approaches to accelerate organic growth.
• Analyze competitors and identify scalable SEO growth opportunities.
• Evaluate backlink quality using key SEO metrics such as Domain Rating (DR), referring domains, topical relevance, organic traffic, indexing status, and spam signals.
• Monitor backlink health, anchor profile, lost links, and overall backlink performance.
• Leverage AI tools to improve research, prospecting, competitor analysis, reporting, and overall workflow efficiency.
• Identify repetitive SEO tasks and automate them whenever possible.
• Collaborate closely with SEO, Content, and Product teams to improve search visibility and organic performance.

• Stay up to date with Google Search, AI Search, Bing, and emerging SEO trends to continuously improve our strategies.

   

What We're Looking For

• 3+ years of experience in SEO, Off-page SEO, Affiliate SEO, Link Building, or a related field.
• Experience working with international websites in competitive markets.
• Proven experience designing scalable SEO or link acquisition strategies.
• Strong hands-on experience with Ahrefs, Semrush, Google Search Console, Google Analytics 4, and Google Sheets.
• Solid understanding of modern search ranking factors and backlink quality assessment.
• Strong analytical mindset with the ability to identify scalable growth opportunities.
• Regular use of AI tools (ChatGPT, Claude, Gemini, Perplexity, etc.) as part of everyday SEO workflows.
• Experience automating repetitive SEO tasks or building scalable workflows.
• A systems-thinking mindset with the ability to design processes rather than simply execute tasks.
• Upper-Intermediate (B2) English is prefered

Nice to Have

• Experience with automation tools such as Make, Zapier, n8n, Google Apps Script, or similar platforms.
• Basic scripting skills in Python, JavaScript, or SQL for SEO automation.
• Experience managing SEO across large website portfolios.
• Experience in Affiliate SEO or highly competitive industries such as Gambling, Betting, Casino, Crypto, Nutra, Lead Generation, or similar.
• Experience using Screaming Frog or other SEO crawling tools.
• Hands-on experience applying AI to SEO research, competitor analysis, and workflow automation.
• Familiarity with Bing SEO and AI-driven search engines.
• Experience building internal SEO tools, dashboards, or automated reporting systems.

• Why You'll Love This Role

   

This is an opportunity to work on SEO at scale.

Rather than focusing on individual campaigns, you'll help design systems, experiment with new approaches, automate workflows, and build repeatable SEO processes that support long-term organic growth across a large portfolio of international projects.

If you're excited by solving complex SEO challenges, testing new ideas, leveraging AI to work smarter, and shaping the future of scalable SEO, we'd love to hear from you.

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 an SEO professional who enjoys solving complex SEO challenges at scale.

This is not a traditional Link Building or Outreach role. We're looking for someone who thinks in systems, builds scalable processes, and leverages automation to drive long-term organic growth rather than relying solely on manual outreach.

You'll work on growing the authority and visibility of a large portfolio of international websites, where the challenge isn't optimizing a single project—it's designing repeatable SEO processes that deliver results across hundreds of domains.

What You'll Do

• Develop and execute scalable off-page SEO strategies across a portfolio of international websites.
• Design, improve, and optimize scalable link acquisition processes instead of relying solely on traditional outreach.
• Research, test, and implement new approaches to accelerate organic growth.
• Analyze competitors and identify scalable SEO growth opportunities.
• Evaluate backlink quality using key SEO metrics such as Domain Rating (DR), referring domains, topical relevance, organic traffic, indexing status, and spam signals.
• Monitor backlink health, anchor profile, lost links, and overall backlink performance.
• Leverage AI tools to improve research, prospecting, competitor analysis, reporting, and overall workflow efficiency.
• Identify repetitive SEO tasks and automate them whenever possible.
• Collaborate closely with SEO, Content, and Product teams to improve search visibility and organic performance.

• Stay up to date with Google Search, AI Search, Bing, and emerging SEO trends to continuously improve our strategies.

   

What We're Looking For

• 3+ years of experience in SEO, Off-page SEO, Affiliate SEO, Link Building, or a related field.
• Experience working with international websites in competitive markets.
• Proven experience designing scalable SEO or link acquisition strategies.
• Strong hands-on experience with Ahrefs, Semrush, Google Search Console, Google Analytics 4, and Google Sheets.
• Solid understanding of modern search ranking factors and backlink quality assessment.
• Strong analytical mindset with the ability to identify scalable growth opportunities.
• Regular use of AI tools (ChatGPT, Claude, Gemini, Perplexity, etc.) as part of everyday SEO workflows.
• Experience automating repetitive SEO tasks or building scalable workflows.
• A systems-thinking mindset with the ability to design processes rather than simply execute tasks.
• Upper-Intermediate (B2) English is prefered

Nice to Have

• Experience with automation tools such as Make, Zapier, n8n, Google Apps Script, or similar platforms.
• Basic scripting skills in Python, JavaScript, or SQL for SEO automation.
• Experience managing SEO across large website portfolios.
• Experience in Affiliate SEO or highly competitive industries such as Gambling, Betting, Casino, Crypto, Nutra, Lead Generation, or similar.
• Experience using Screaming Frog or other SEO crawling tools.
• Hands-on experience applying AI to SEO research, competitor analysis, and workflow automation.
• Familiarity with Bing SEO and AI-driven search engines.
• Experience building internal SEO tools, dashboards, or automated reporting systems.

• Why You'll Love This Role

   

This is an opportunity to work on SEO at scale.

Rather than focusing on individual campaigns, you'll help design systems, experiment with new approaches, automate workflows, and build repeatable SEO processes that support long-term organic growth across a large portfolio of international projects.

If you're excited by solving complex SEO challenges, testing new ideas, leveraging AI to work smarter, and shaping the future of scalable SEO, we'd love to hear from you.

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