Senior/Architect Data Engineer / RR at Inetum

Warsaw, Masovian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

12 Feb, 26

Salary

0.0

Posted On

14 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Cloud Security, MLOps, Databricks Lakehouse, Model Serving, MLflow, Unity Catalog, Delta Lake, Feature Store, Python, Databricks SQL, React, Performance Optimization, Data Governance, Experiment Tracking, Telemetry

Industry

IT Services and IT Consulting

Description

Company Description Inetum Polska is part of the global Inetum Group and plays a key role in driving the digital transformation of businesses and public institutions. Operating in cities such as Warsaw, Poznan, Katowice, Lublin, Rzeszow, Lodz the company offers a wide range of IT services. Inetum Polska actively supports employee development by fully funding training, certifications, and participation in technology conferences. Additionally, the company is involved in local social initiatives, such as charitable projects and promoting an active lifestyle. It prides itself on fostering a diverse and inclusive work environment, ensuring equal opportunities for all. Globally, Inetum operates in 19 countries and employs over 28,000 professionals. The company focuses on four key areas: Consulting (Inetum Consulting): Strategic advisory services that help organizations define and implement innovative solutions. Infrastructure and Application Management (Inetum Technologies): Designing and managing IT systems tailored to clients’ individual needs. Software Implementation (Inetum Solutions): Deploying partner solutions from industry leaders like Microsoft, SAP, Salesforce, and ServiceNow. Custom Software Development (Inetum Software): Creating unique software solutions to meet specific client needs. With strategic partnerships with major technology giants, including Microsoft, SAP, Salesforce, and ServiceNow, Inetum delivers advanced technological solutions tailored to customer requirements. In 2023, Inetum reported revenues of €2.5 billion, underscoring its strong position in the digital services market. Inetum distinguishes itself by offering a comprehensive range of benefits that meet the diverse needs of employees, providing flexibility, support and commitment. Here's what makes working at Inetum unique: Flexible and hybrid work: Flexible working hours. Hybrid work model, allowing employees to divide their time between home and modern offices in key Polish cities. Attractive financial benefits: A cafeteria system that allows employees to personalize benefits by choosing from a variety of options. Generous referral bonuses, offering up to PLN6,000 for referring specialists. Additional revenue sharing opportunities for initiating partnerships with new clients. Professional development and team support: Ongoing guidance from a dedicated Team Manager for each employee. Tailored technical mentoring from an assigned technical leader, depending on individual expertise and project needs. Community and Well-Being: Dedicated team-building budget for online and on-site team events. Opportunities to participate in charitable initiatives and local sports programs. A supportive and inclusive work culture with an emphasis on diversity and mutual respect. 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. The ideal candidate will have a strong background in data engineering, cloud security, and MLOps, with a proven track record of architecting solutions on the Databricks Lakehouse platform. Key responsibilities: Architecture Leadership: Lead the design and implementation of a Databricks-centric multi-agent processing engine, utilizing Mosaic AI, Model Serving, MLflow, Unity Catalog, Delta Lake, and Feature Store for scalable decoder automation. Data Ingestion and Processing: Design governed data ingestion, storage, and real-time processing workflows using Delta Lake, Structured Streaming, and Databricks Workflows, ensuring enterprise security and full data lineage. Model Lifecycle Management: Own the model lifecycle with MLflow, including experiment tracking, registry/versioning, A/B testing, drift monitoring, and automated retraining pipelines. Low Latency Model Serving: Architect low latency model serving endpoints with auto-scaling and confidence-based routing for sub-second agent decisioning. Data Governance: Establish robust data governance practices with Unity Catalog, including access control, audit trails, data quality, and compliance across all environments. Performance and Cost Optimization: Drive performance and cost optimization strategies, including auto-scaling, spot usage, and observability dashboards for reliability and efficiency. Production Release Strategies: Define production release strategies (blue-green), monitoring and alerting mechanisms, operational runbooks, and Service Level Objectives (SLOs) for dependable operations. Collaboration: Partner with engineering, MLOps, and product teams to deliver human-in-the-loop workflows and dashboards using Databricks SQL and a React frontend. Change Management: Lead change management, training, and knowledge transfer while managing a parallel shadow processing path during ramp-up. Project Coordination: Plan and coordinate phased delivery, success metrics, and risk mitigation across foundation, agent development, automation, and production rollout. Qualifications 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. Additional Information This position allows for remote work for candidates based in Poland.

Responsibilities

Lead the design and implementation of a Databricks-centric multi-agent processing engine, utilizing advanced technologies for scalable decoder automation. Collaborate with engineering and product teams to deliver workflows and dashboards while ensuring data governance and performance optimization.