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Entry LevelFull-timePythonAgileScrumCI/CDAIMLData
Salary Range
$17,850 - $24,150 /year
This salary is estimated based on similar roles. The actual salary may vary.
We are looking for a Junior Data Engineer to join us and contribute to the development of modern, real‑time data processing capabilities. You will help transition existing data and ML workflows from batch processing to scalable streaming solutions. The role involves hands‑on engineering, close collaboration with Data Scientists, and operational responsibility for production data pipelines.
Technology Environment
• Modern real‑time data streaming technologies used for ML model inference
• Distributed data processing frameworks supporting scalable, low‑latency pipelines
• Containerized workloads orchestrated in cloud‑native environments
• Monitoring and observability tools for ensuring reliability and performance of data pipelines
• Python‑based ecosystem supporting ML model integration and lifecycle managementKey Responsibilities
• Transform batch inference workflows into streaming pipelines.
• Define streaming semantics to replace batch windows, including micro‑batching, windowing, and state management.
• Design Kafka topic structures, partitioning strategies, and consumer group patterns for prediction workloads.
• Implement checkpointing, backpressure handling, and delivery‑guarantee strategies (at‑least‑once / exactly‑once).
• Package and version ML model artifacts for streaming jobs, supporting safe rollouts and rollbacks.
• Tune performance for throughput and latency, including batching strategies and resource allocation.
• Deploy and operate streaming jobs with monitoring and alerting (lag, throughput, error rates).
• Integrate streaming outputs into downstream ETL/BI systems.
• Collaborate with Data Scientists on CI/CD for streaming models and monitor model performance/drift.Team & Collaboration
• You will work in a distributed delivery model closely aligned with the central AI/BI team in Germany.
• Daily collaboration through MS Teams, Jira, Confluence.
• Agile methodologies (Scrum/Kanban) in cross‑functional squads. 
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About Inetum2
Inetum2 is a technology consulting and services company specializing in digital transformation and IT solutions. Operating within the IT services industry, the company focuses on leveraging cutting-edge technologies to help businesses adapt and thrive in a rapidly evolving digital landscape. While the name suggests a connection to the larger Inetum group, Inetum2 operates as a distinct entity, likely founded to address specific market needs or regional demands, though precise founding details are not explicitly stated. The company’s approach combines technical expertise with strategic advisory to deliver tailored solutions that align with client objectives. Inetum2 offers a range of products and services, including software development, system integration, cloud computing, and process optimization. Key features of their offerings include agile methodologies, scalable solutions, and a strong emphasis on cybersecurity and data privacy. Their target audience primarily consists of mid-to-large enterprises across sectors such as finance, healthcare, and manufacturing, which require robust IT infrastructure and innovative digital strategies to enhance operational efficiency and competitive advantage. The company’s solutions are designed to integrate seamlessly with existing systems while future-proofing clients’ technological investments. Notable achievements for Inetum2 may include successful client transformations and partnerships with industry leaders, though specific accolades are not detailed. The company’s market position is strengthened by its ability to provide end-to-end digital services, from initial consultation to ongoing support. Its unique value proposition lies in its blend of technical proficiency and business acumen, ensuring that solutions not only meet technical requirements but also drive tangible business outcomes. This dual focus positions Inetum2 as a trusted partner for organizations navigating complex digital challenges.
