Senior Data Engineer - Big Data & Telemetry Pipelines

Luxoft; Kraków; On-site; PLN 240,000 - 360,000; Full time

Job summary

Luxoft in Kraków is seeking an experienced Senior Data Engineer to join an observability and embedded analytics project for an automotive client. You will build production-grade pipelines transforming logs, events, measurements and telemetry into trusted datasets and engineering insights.

You will design data models, develop pipelines, ensure data quality and create analysis-ready datasets to support troubleshooting, reliability analysis and product-quality follow-up.

Qualifications

• Strong experience developing and operating production-grade data pipelines.
• Hands-on Python and SQL skills.
• Knowledge of data transformation and data modelling.
• Experience with cloud-based data solutions.
• Experience with data orchestration and automated workflows.
• Experience with APIs, event data and logs.
• Experience with data quality and pipeline monitoring.
• Experience with high-volume time-series and telemetry data.

Responsibilities

• Design, build and maintain production-grade data pipelines and transformations.
• Develop data models, schemas and curated datasets for different engineering use cases.
• Process logs, events, telemetry and high-volume time-series data.
• Integrate data from embedded, cloud, test and application sources using APIs and other data interfaces.
• Implement automated data-quality checks and pipeline monitoring.
• Build analysis-ready datasets supporting troubleshooting, reliability and product-quality analysis.
• Improve pipeline reliability, performance and maintainability.
• Support dashboards and analytical use cases.
• Document delivered solutions and support knowledge transfer.

Skills

Data pipelines

Python

SQL

Data transformation

Data modelling

Cloud data

Data orchestration

APIs & logs

Data quality

Time-series

Job description

Luxoft in Kraków is seeking an experienced Senior Data Engineer to join an observability and embedded analytics project for an automotive client. You will build production-grade pipelines transforming logs, events, measurements and telemetry into trusted datasets and engineering insights.

You will design data models, develop pipelines, ensure data quality and create analysis-ready datasets to support troubleshooting, reliability analysis and product-quality follow-up.