Senior Data Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Work mode

Remote From the posting source checked Jun 20, 2026

In-office days

0 days From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Senior Data Engineer London (Remote) | Remote | Almaty Role Overview: We are looking for a talented and passionate Senior Data Engineer to join our team. In this role, you'll be at the heart of our AI pipeline, ensuring seamless integration, scalability, and reliability of our data processes. Key Responsibilities and Skills: - Integrate and Scale: Extend, scale, monitor, and manage our ever-growing pile of 100s of integrations. Ensure they are reliable and responsive. - Own the Integrations: Implement new connections and be the master and owner of these integrations. - Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. - ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries - Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time and batch inference. - Develop Monitoring Systems: Create and support robust models for monitoring. - Support and Innovate: Assist with a long tail of super important tasks, bringing innovative solutions to the table. Qualifications: - Python Proficiency: Strong Python skills with experience in building and monitoring production services or APIs. Experience with third-party APIs is essential. - Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions - Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists. - Infra: Deep Knowledge of Docker, Git, cloud networking,

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