Senior Data Engineer - Data Platform Engineering

Luxoft Poland; Kraków; On-site; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Private Medical care

Dental care

Life Insurance

Internal Mobility program

Job summary

Luxoft Poland is seeking a Senior Data Engineer focused on Data Platform Engineering to join a project delivering observability and embedded analytics for a leading automotive client.

You will architect the data platform, build robust pipelines, models and transformations, enable orchestration and data quality, and ensure data security, accessibility and observability across embedded, cloud, test and application systems.

Qualifications

• Extensive experience designing and operating production-grade data platforms and pipelines.
• Strong Python and SQL skills.
• Experience with cloud-based data solutions.
• Deep knowledge of data modelling, schemas and transformations.
• Experience with data orchestration and automated workflows.
• Experience integrating systems via APIs.
• Experience with data quality, monitoring and observability.
• Understanding of data security, privacy and access control.

Responsibilities

• Design and implement the target data architecture and production data foundation.
• Build and maintain robust, automated data pipelines and transformations.
• Develop shared data models, schemas and analysis-ready datasets.
• Implement data orchestration, data-quality controls, monitoring and lineage.
• Integrate data from embedded, cloud, test and application systems using APIs and other data interfaces.
• Improve platform reliability, scalability, performance and maintainability.
• Support analytical use cases while keeping the underlying data platform reusable.
• Produce operational documentation and support knowledge transfer to Client teams.

Skills

Python

SQL

Cloud data solutions

Data modelling

Schemas

Transformations

Data orchestration

APIs

Data quality

Observability

Version control

Production engineering

Data security

Access control

Job description

Private Medical & Dental care & Life Insurance

Internal Mobility program - possibility of rotation between projects, locations, accounts

Project Description

We are looking for a Senior Data Engineer specialising in Data Platform Engineering to join a project focused on observability and embedded analytics for a leading automotive Client.

The project aims to establish a scalable and maintainable data foundation that transforms logs, events, measurements and telemetry from embedded, cloud, test and application systems into trusted and reusable data products.

In this role, you will focus on the architecture and engineering of the data platform, including pipelines, orchestration, common data models, data quality and operational monitoring.

Responsibilities

• Design and implement the target data architecture and production data foundation.
• Build and maintain robust, automated data pipelines and transformations.
• Develop shared data models, schemas and analysis-ready datasets.
• Implement data orchestration, data-quality controls, monitoring and lineage.
• Integrate data from embedded, cloud, test and application systems using APIs and other data interfaces.
• Improve platform reliability, scalability, performance and maintainability.
• Support analytical use cases while keeping the underlying data platform reusable.
• Produce operational documentation and support knowledge transfer to Client teams

Skills required

• Strong experience designing and operating production-grade data platforms and pipelines.
• Strong Python and SQL skills.
• Experience with cloud-based data solutions.
• Strong knowledge of data modelling, schemas and transformations.
• Experience with data orchestration and automated workflows.
• Experience integrating systems through APIs.
• Experience with data quality, pipeline monitoring and observability.
• Experience with version control and production engineering practices.
• Understanding of data security, privacy and access control.

What is nice to have

• Automotive, connected-car or embedded-systems experience.
• Experience with telemetry, event and time-series data.
• Data lineage and governance experience.
• Experience supporting dashboards and analytical platforms.
• Experience optimising data platforms for performance and cost.