Senior Data Engineer
GlobalLogic Sweden ABSammanfattning
This role requires a data engineering professional with at least 5 years of experience to design, develop, and maintain data pipelines and workflows. The position involves working with big data technologies and cloud services such as AWS and Azure, and requires expertise in programming languages like SQL or Python. The job is suitable for someone who is pragmatic, self-driven, and comfortable in evolving environments, with a focus on collaboration and technical guidance. The company values skillJobbet i korthet
Anställningstyp
tillsvidareanstallning
Arbetstid
heltid
Det här erbjuder vi
Open to adapting the role or workplace according to individual needs.
Ansök senast: 2026-09-26
Publicerad: 2026-09-16
Beskrivning
At least 5 years continuous experience in data engineering area.
• E. B.Sc. or M.Sc. in Computer Science, Engineering, Information Technology or equivalent work experience.
• Strong knowledge and hands on experience of big data technologies such as data lakes, Apache Spark, Flink, Kafka etc.
• Good knowledge of data warehousing concepts and ETL processes, DevOps, CI/CD and software testing.
• Expertise with one of programming languages such as SQL, or Python.
• Have working experience of AWS (Redshift, EMR, S3) and Azure (Data Factory, Power BI service) data analytics services.
• Experience with Data platform tools like Databricks and/or Snowflake.
• Be able to use Power BI for data analytics and visualization.
• Be able to manage data platform with IaC (Infrastructure as Code) will be preferred.
• Experience with connectivity data in automotive industry will be preferred.
• Fluent in English with Chinese skill as a plus
Responsibilities and Deliveries
• Design, develop and maintain scalable batch and stream data pipelines to ingest data into platform from various sources, use tools to automate and orchestrate data pipelines
• Develop and implement data processing workflows of cleansing, deduplication, and transformation processes to prepare data for data services
• Operate and maintain platform with infrastructure team.
• Perform data platform upgrade test including regression test, security test, functional test.
• Implement checks and measures to ensure the security, accuracy, completeness, and consistency of data
• Set up tools to monitor pipeline performance, data quality, and system health
• Diagnose and resolve issues with data pipelines, storage systems, or integrations
• Collaborate with stakeholders to define data models and ensure the data meets their needs
• Provide technical guidance and data access support to data consumers and addressing technical challenges.
• Document data pipelines, architectures, and workflows to ensure clarity and ease of maintenance
• Design and maintain data models for reporting and analytics in BI tools
• Develop simple dashboard with Power BI
Pragmatic, self-driven, and solution-oriented
• Comfortable working in ambiguous and evolving environments
• Curious, flexible, and eager to learn new technologies
• Proactive, self-starting, and able to manage multiple tasks effectively
• Strong sense of ownership and accountability
• Team-oriented with a collaborative mindset
Öppen för alla
Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.
• E. B.Sc. or M.Sc. in Computer Science, Engineering, Information Technology or equivalent work experience.
• Strong knowledge and hands on experience of big data technologies such as data lakes, Apache Spark, Flink, Kafka etc.
• Good knowledge of data warehousing concepts and ETL processes, DevOps, CI/CD and software testing.
• Expertise with one of programming languages such as SQL, or Python.
• Have working experience of AWS (Redshift, EMR, S3) and Azure (Data Factory, Power BI service) data analytics services.
• Experience with Data platform tools like Databricks and/or Snowflake.
• Be able to use Power BI for data analytics and visualization.
• Be able to manage data platform with IaC (Infrastructure as Code) will be preferred.
• Experience with connectivity data in automotive industry will be preferred.
• Fluent in English with Chinese skill as a plus
Responsibilities and Deliveries
• Design, develop and maintain scalable batch and stream data pipelines to ingest data into platform from various sources, use tools to automate and orchestrate data pipelines
• Develop and implement data processing workflows of cleansing, deduplication, and transformation processes to prepare data for data services
• Operate and maintain platform with infrastructure team.
• Perform data platform upgrade test including regression test, security test, functional test.
• Implement checks and measures to ensure the security, accuracy, completeness, and consistency of data
• Set up tools to monitor pipeline performance, data quality, and system health
• Diagnose and resolve issues with data pipelines, storage systems, or integrations
• Collaborate with stakeholders to define data models and ensure the data meets their needs
• Provide technical guidance and data access support to data consumers and addressing technical challenges.
• Document data pipelines, architectures, and workflows to ensure clarity and ease of maintenance
• Design and maintain data models for reporting and analytics in BI tools
• Develop simple dashboard with Power BI
Pragmatic, self-driven, and solution-oriented
• Comfortable working in ambiguous and evolving environments
• Curious, flexible, and eager to learn new technologies
• Proactive, self-starting, and able to manage multiple tasks effectively
• Strong sense of ownership and accountability
• Team-oriented with a collaborative mindset
Öppen för alla
Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.
Ansök till tjänsten
Senior Data Engineer
OM FÖRETAGET
GlobalLogic Sweden AB
