Star

We are looking for you!
 

As we continue to design and build data-driven solutions across diverse domains — we’re seeking a Data Engineer who thrives on transforming data into impactful insights. If you’re passionate about crafting robust architectures, optimizing data pipelines, and enabling intelligent decision-making at scale, we’d love to have you join our global team and shape the next generation of data excellence with us.

Contract type: Gig contract.

Skills and experience you can bring to this role
 

Qualifications & experience:
 

• 5+ years of intensive experience as a Data Engineer or in a similar role, with a demonstrable track record of leading large-scale projects;
• Mastery in Python and data stack (NumPy, Pandas, scikit-learn);
• Good Understanding of SQL/RDBMS and familiarity with data warehouses (BigQuery, Snowflake, Redshift, etc.);
• Experience building ETL data pipelines (Airflow, Prefect, Dagster, etc);
• Experience with modern Scrum-based Software Development Life Cycle (SDLC);
• Strong communication skills to explain technical insights to non-technical stakeholders.

Nice to have:

• Hands-on experience with Python web stack (Fast API / Flask);
• Proven expertise in designing and optimizing large-scale data pipelines;
• Comprehensive understanding of data governance principles and data quality management practices;
• Understand marketing and media metrics (i.e., what conversion rate is and how it is calculated).
• Exceptional leadership, communication, and collaboration skills, with a knack for guiding and nurturing teams.
   

Educational requirements:

• Bachelor’s degree in Computer Science, Information Systems, or a related discipline is preferred.

What impact you’ll make 
 

• Lead the design, development, testing, and maintenance of scalable data architectures, ensuring they align with business and technical objectives;
• Spearhead the creation of sophisticated data pipelines using Python, leveraging advanced Snowflake capabilities such as Data Shares, Snowpipe, Snowpark, and more;
• Collaborate intensively with data scientists, product teams, and other stakeholders to define and fulfill intricate data requirements for cross-channel budget optimization solutions;
• Drive initiatives for new data collection, refining existing data sources, and ensuring the highest standards of data accuracy and reliability;
• Set the gold standard for data quality, introducing cutting-edge tools and frameworks to detect and address data inconsistencies and inaccuracies; and
• Identify, design, and implement process improvements, focusing on data delivery optimization, automation of manual processes, and infrastructure enhancements for scalability.

What you’ll get 
 

Regardless of your position or role, we have a wide array of benefits in place, including flexible working (hybrid/remote models) and generous time off policies (unlimited vacations, sick and parental leaves) to make it easier for all people to thrive and succeed at Star. On top of that, we offer an extensive reward and compensation package, intellectually and creatively stimulating space, health insurance and unique travel opportunities.

Your holistic well-being is central at Star. You'll join a warm and vibrant multinational environment filled with impactful projects, career development opportunities, mentorship and training programs, fun sports activities, workshops, networking and outdoor meet-ups.

We are looking for you!
 

We are looking for a Strong Python Engineer who wants to go beyond classical backend development and step into the world of AI-native systems and Generative AI architectures.

You will work on real client engagements across industries, helping enterprises transform how they operate using Large Language Models, AI agents, retrieval systems, and intelligent automation.

This is engineering-first, production-focused, system-level AI development.

You will contribute to AI-native enterprise platforms, generative AI Proofs of Concept (POCs) and MVPs, agent-based systems and workflow orchestration, Retrieval-Augmented Generation (RAG) pipelines, enterprise AI integrations (CRM, ERP, document systems, knowledge bases), internal AI accelerators and reusable frameworks, and intelligent automation and workflow transformation.

You will work at the intersection of backend engineering, data engineering, applied generative AI, LLM orchestration and cloud-native architecture.

If you do not have hands-on experience in Generative AI yet - that is fine. What matters is strong engineering fundamentals and genuine curiosity.

Qualifications & experience:
 

• Strong proficiency in Python with experience building production backend systems (5+ years)
• Good understanding of software architecture principles
• Hands-on experience working with services of at least one cloud provider (AWS / Azure / GCP)
• You are comfortable going beyond pure engineering - you can contribute to product thinking, consulting discussions, and solution ideation;
• You are particularly interested in emerging AI technologies, LLMs, and generative AI, and follow new developments in the field;
• You understand how business value can be generated through AI technologies and can articulate this clearly;
• You enjoy communication and can effectively interact with both technical and non-technical stakeholders;
• You are a proponent of agentic coding and utilize it daily.

Nice to have:
 

• You have experimented with agentic workflows and LLMs via pet projects;
• You are an active user of agentic AI for your daily tasks and excited about where things are going;
• You’ve looked into integrating with LLM APIs, used LangChain / LangGraph / similar frameworks, digged into RAG and prompt engineering fundamentals;
• You are curious about AI evaluation methodologies and gained some theoretical knowledge;
• You’ve implemented data pipelines (ETL, batch/stream processing).

What impact you’ll make:
 

You will help enterprises:

• Automate complex workflows;
• Enhance decision-making with AI;
• Build conversational and agent-based systems;
• Transform how knowledge is accessed and used;
• Move from experimentation to production-grade AI.

What you’ll get 
 

We offer a rewarding compensation and benefits package, an intellectually and creatively stimulating environment, professional flexibility, and unique international travel opportunities. 

Star is an Equal Opportunity Employer. We believe that equity, diversity, and inclusion are key to our ability to provide our clients and crew members with unique business and career outcomes. Your race, color, ancestry, religion, gender, identity, sexual orientation, age, marital status, and disability have no effect on our hiring decisions. If you have a special need that requires accommodation, please let us know.

We are looking for you!
 

As we continue to design and build data-driven solutions across diverse domains — we’re seeking a Data Engineer who thrives on transforming data into impactful insights. If you’re passionate about crafting robust architectures, optimizing data pipelines, and enabling intelligent decision-making at scale, we’d love to have you join our global team and shape the next generation of data excellence with us.

Contract type: Gig contract.

Skills and experience you can bring to this role
 

Qualifications & experience:
 

• 3+ years of intensive experience as a Data Engineer or in a similar role, with a demonstrable track record of leading large-scale projects;
• Mastery in Python and data stack (NumPy, Pandas, scikit-learn);
• Good Understanding of SQL/RDBMS and familiarity with data warehouses (BigQuery, Snowflake, Redshift, etc.);
• Experience building ETL data pipelines (Airflow, Prefect, Dagster, etc);
• Experience with modern Scrum-based Software Development Life Cycle (SDLC);
• Strong communication skills to explain technical insights to non-technical stakeholders.

Nice to have:

• Hands-on experience with Python web stack (Fast API / Flask);
• Proven expertise in designing and optimizing large-scale data pipelines;
• Comprehensive understanding of data governance principles and data quality management practices;
• Understand marketing and media metrics (i.e., what conversion rate is and how it is calculated).
• Exceptional leadership, communication, and collaboration skills, with a knack for guiding and nurturing teams.
   

Educational requirements:

• Bachelor’s degree in Computer Science, Information Systems, or a related discipline is preferred.

What impact you’ll make 
 

• Lead the design, development, testing, and maintenance of scalable data architectures, ensuring they align with business and technical objectives;
• Spearhead the creation of sophisticated data pipelines using Python, leveraging advanced Snowflake capabilities such as Data Shares, Snowpipe, Snowpark, and more;
• Collaborate intensively with data scientists, product teams, and other stakeholders to define and fulfill intricate data requirements for cross-channel budget optimization solutions;
• Drive initiatives for new data collection, refining existing data sources, and ensuring the highest standards of data accuracy and reliability;
• Set the gold standard for data quality, introducing cutting-edge tools and frameworks to detect and address data inconsistencies and inaccuracies; and
• Identify, design, and implement process improvements, focusing on data delivery optimization, automation of manual processes, and infrastructure enhancements for scalability.

What you’ll get 
 

Regardless of your position or role, we have a wide array of benefits in place, including flexible working (hybrid/remote models) and generous time off policies (unlimited vacations, sick and parental leaves) to make it easier for all people to thrive and succeed at Star. On top of that, we offer an extensive reward and compensation package, intellectually and creatively stimulating space, health insurance and unique travel opportunities.

Your holistic well-being is central at Star. You'll join a warm and vibrant multinational environment filled with impactful projects, career development opportunities, mentorship and training programs, fun sports activities, workshops, networking and outdoor meet-ups.