Junior Data Engineer

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.

• Modern real‑time data streaming technologies used for ML model inference
• 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 management

• 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, back pressure 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.
• 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.

• Practical experience with Kafka (producers/consumers, topic design, partitions, retention).
• Experience with Spark Structured Streaming or similar streaming frameworks.
• Familiarity with migrating batch inference to streaming architectures.
• Experience running containerized workloads in Kubernetes.
• Strong Python skills and understanding of common ML libraries.
• English and Polish level B1 or higher.

• Basic monitoring/logging experience (ELK, metrics) and performance tuning.
• Experience with Kafka Streams.
• Familiarity with feature stores or retraining orchestration.

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:

Strategic advisory services that help organizations define and implement innovative solutions.

Designing and managing IT systems tailored to clients’ individual needs.

Deploying partner solutions from industry leaders like Microsoft, SAP, Salesforce, and Service Now.

Creating unique software solutions to meet specific client needs.

With strategic partnerships with major technology giants, including Microsoft, SAP, Salesforce, and Service Now, 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.

• Flexible working hours.
• Hybrid work model, allowing employees to divide their time between home and modern offices in key Polish cities.

• A cafeteria system that allows employees to personalize benefits by choosing from a variety of options.
• Generous referral bonuses,…