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Senior AI/ML Data Engineer - Remote - EMEA Job Opening In Poland, Poland – Now Hiring Jobgether


Job description

This position is posted by Jobgether on behalf of a partner company.

We are currently looking for a Senior AI/ML Data Engineer in EMEA.

As a Senior AI/ML Data Engineer, you’ll take a leading role in shaping the foundation of the company’s AI and data ecosystem.

You’ll be responsible for designing robust data pipelines, building reliable ETL/ELT processes, and implementing systems that power AI-driven product features.

This position offers the opportunity to work at the intersection of data engineering and AI, collaborating with cross-functional teams to deliver intelligent, scalable solutions.

You’ll work in a fast-growing, fully remote environment that values autonomy, innovation, and collaboration, contributing directly to the evolution of next-generation AI applications.

Accountabilities:

  • Design, build, and maintain scalable data pipelines and ETL/ELT workflows to support AI-powered features.
  • Develop and optimize embeddings, vector databases, and RAG pipelines for efficient information retrieval.
  • Implement and experiment with LLM orchestration frameworks such as LangChain, LangGraph, or LlamaIndex.
  • Ensure seamless integration between data pipelines and existing product or platform services.
  • Establish and enforce best practices for data quality, observability, and performance within AI workflows.
  • Deploy and maintain Python-based AI services in production environments.
  • Collaborate closely with product, platform, and research teams to ensure data-driven innovation aligns with business goals.

Requirements

  • 5+ years of experience in data engineering or backend development, ideally within SaaS environments.
  • Strong command of Python (FastAPI, Pandas, PyTorch/TensorFlow experience is a plus).
  • Expertise in SQL, relational databases, and data modeling.
  • Familiarity with embeddings and vector databases such as Pinecone, Weaviate, or FAISS.
  • Experience working with AI frameworks for RAG or orchestration (e.g., LangChain, LlamaIndex).
  • Comfortable collaborating across multiple teams and integrating pipelines into complex systems.
  • Bonus skills: cloud infrastructure (AWS, GCP), workflow orchestration tools (Airflow, Dagster).

Benefits

  • Competitive compensation aligned with market standards across EMEA.
  • Fully remote work flexibility within your country of residence — no mandatory office presence.
  • Equity options available to all roles, aligning your success with the company’s growth.
  • Professional growth opportunities in a rapidly scaling and innovative environment.
  • Values-driven leadership that prioritizes learning, collaboration, and personal development.
  • Annual paid leave and country-specific benefits such as healthcare and pensions.
  • A diverse international culture, with team members across more than 40 countries.

Jobgether AI Matching Process

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI thoroughly analyzes your CV and LinkedIn profile, focusing on your skills, experience, and achievements.
📊 It then compares your profile to the job’s key requirements and past success factors to calculate your match score.
🎯 The top three candidates with the highest match scores are automatically shortlisted for the role.
🧠 When necessary, our human team performs an additional review to ensure no outstanding profile is overlooked.

This process is transparent, skills-based, and bias-free, emphasizing your professional fit and potential.

Once the shortlist is finalized, it is shared directly with the hiring company, which then conducts interviews or additional assessments.

Thank you for your interest!

 

#LI-CL1

Required Skill Profession

Computer Occupations


  • Job Details

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Great news! is currently hiring and seeking a Senior AI/ML Data Engineer Remote EMEA to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Jobgether adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Poland laws and regulations

What Is the Average Salary Range for Senior AI/ML Data Engineer Remote EMEA Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Poland. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Senior AI/ML Data Engineer Remote EMEA?

Key qualifications for Senior AI/ML Data Engineer Remote EMEA typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Senior AI/ML Data Engineer Remote EMEA Job Success

Jobgether interview tips for Senior AI/ML Data Engineer   Remote   EMEA

Here are some tips to help you prepare for and ace your Senior AI/ML Data Engineer Remote EMEA job interview:

Before the Interview:

Research: Learn about the Jobgether's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior AI/ML Data Engineer Remote EMEA interview at Jobgether, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Jobgether's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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