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Senior/Architect Data Engineer

https://www.inetum.com Logo

Inetum

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Location:
Poland , Warsaw ▼

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Description:

We are seeking a highly skilled and experienced Senior/Architect Data Engineer to lead the end-to-end architecture of a Databricks-centric multi-agent processing engine. This role will leverage cutting-edge technologies such as Mosaic AI, Model Serving, MLflow, Unity Catalog, Delta Lake, and Feature Store to automate decoder processes at scale.

Job Responsibility:

  • Lead the design and implementation of a Databricks-centric multi-agent processing engine
  • Design governed data ingestion, storage, and real-time processing workflows using Delta Lake, Structured Streaming, and Databricks Workflows
  • Own the model lifecycle with MLflow, including experiment tracking, registry/versioning, A/B testing, drift monitoring, and automated retraining pipelines
  • Architect low latency model serving endpoints with auto-scaling and confidence-based routing for sub-second agent decisioning
  • Establish robust data governance practices with Unity Catalog, including access control, audit trails, data quality, and compliance
  • Drive performance and cost optimization strategies, including auto-scaling, spot usage, and observability dashboards
  • Define production release strategies (blue-green), monitoring and alerting mechanisms, operational runbooks, and Service Level Objectives (SLOs)
  • Partner with engineering, MLOps, and product teams to deliver human-in-the-loop workflows and dashboards
  • Lead change management, training, and knowledge transfer while managing a parallel shadow processing path
  • Plan and coordinate phased delivery, success metrics, and risk mitigation

Requirements:

  • Proven experience architecting solutions on the Databricks Lakehouse using Unity Catalog, Delta Lake, MLflow, Model Serving, Feature Store, AutoML, and Databricks Workflows
  • Expertise in real-time/low latency model serving architectures with auto-scaling, confidence-based routing, and A/B testing
  • Strong knowledge of cloud security and governance on Azure or AWS, including Azure AD/AWS IAM, encryption, audit trails, and compliance frameworks
  • Hands-on MLOps skills across experiment tracking, model registry/versioning, drift monitoring, automated retraining, and production rollout strategies
  • Proficiency in Python and Databricks native tooling, with practical integration of REST APIs/SDKs and Databricks SQL in analytics products
  • Familiarity with React dashboards and human-in-the-loop operational workflows for ML and data quality validation
  • Demonstrated ability to optimize performance, reliability, and cost for large-scale analytics/ML platforms with strong observability
  • Experience leading multi-phase implementations with clear success metrics, risk management, documentation, and training/change management
  • Domain knowledge in telemetry, time series, or industrial data (aerospace a plus) and prior work with agentic patterns on Mosaic AI
  • Databricks certifications and experience in enterprise deployments of the platform are preferred

Nice to have:

  • Domain knowledge in telemetry, time series, or industrial data (aerospace a plus)
  • Prior work with agentic patterns on Mosaic AI
  • Databricks certifications
  • Experience in enterprise deployments of the Databricks platform
What we offer:
  • Flexible working hours
  • Hybrid work model
  • Cafeteria system
  • Generous referral bonuses (up to PLN6,000)
  • Additional revenue sharing opportunities
  • Ongoing guidance from dedicated Team Manager
  • Tailored technical mentoring from assigned technical leader
  • Dedicated team-building budget for online and on-site team events
  • Opportunities to participate in charitable initiatives and local sports programs
  • Supportive and inclusive work culture
  • Fully funded training, certifications, and participation in technology conferences

Additional Information:

Job Posted:
September 18, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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