Senior Data Engineer - Data Engineering

Luxoft; Göteborgs kommun; Presencial; SEK 900.000 - 1.200.000; Jornada completa

Descripción de la vacante

Luxoft in Sweden is seeking a Senior Data Engineer to join an automotive observability project. You will design and operate data pipelines, model data and build analytics-ready datasets to support rapid troubleshooting and reliability analysis.

You will work with logs, events, telemetry and time-series data from embedded, cloud, test and application sources, implementing data-quality checks and monitoring while enabling dashboards and stakeholder insights.

Formación

• Experience building production-grade data pipelines.
• Proficient in Python and SQL.
• Strong data modelling and transformation knowledge.
• Experience with cloud-based data solutions.
• Experience with data orchestration and workflows.
• Experience with APIs, event data and logs.
• Experience with data quality and pipeline monitoring.
• Experience with high-volume time-series and telemetry data.

Responsabilidades

• 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.

Conocimientos

Data pipelines

Python

SQL

Data modelling

Cloud data solutions

Data orchestration

APIs & logs

Data quality monitoring

Time-series data

Descripción del empleo

Project description

We are looking for an experienced Senior Data Engineer to join a project within observability and embedded analytics for a leading automotive Client.The project focuses on transforming logs, events, measurements and telemetry from embedded, cloud, test and application systems into trusted and reusable datasets and engineering insights.You will have a hands-on role in building production data pipelines, transformations and analysis-ready datasets that support faster troubleshooting, reliability analysis, product-quality follow-up and improved understanding of platform performance in real-world conditions.

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

Must have

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

Nice to have

• Automotive or connected-car experience.
• Experience working with data from embedded systems or devices.
• Experience supporting troubleshooting, reliability or product-quality analytics.
• Experience with data visualisation and dashboards.
• Mobile analytics experience.
• Knowledge of data lineage and data governance.