Senior Data Engineer

WHO ARE WE?

L&T Technology Services Limited (LTTS) is a global leader in Engineering and R&D (ER&D) services. With 719 patents filed for 57 of the Global Top 100 ER&D spenders, LTTS lives and breathes engineering. Our innovations speak for themselves – World’s 1st Autonomous Welding Robot, Solar ‘Connectivity’ Drone, and the Smartest Campus in the World, to name a few

.LTTS’ expertise in engineering design, product development, smart manufacturing, and digitalization touches every area of human lives - from the moment one wakes up till the time one goes to bed. With 69 Innovation and R&D design centres globally, we specialize in disruptive technology spaces such as 5G, Artificial Intelligence, Collaborative Robots, Digital Factory, and Autonomous Transport

We are looking for someone with key skills and able to perform the following roles & responsibilities :-

Senior Data Engineer

Gothenburg, Sweden

Role Summary:

Key Responsibilities

• Design, develop, and maintain scalable batch and streaming data pipelines .
• Ingest data from multiple sources into cloud-based data platforms and data lakes.
• Develop data processing workflows for cleansing, deduplication, transformation, and enrichment .
• Build and maintain ETL/ELT pipelines using technologies such as Spark, Kafka, and Databricks .
• Work with AWS data services including S3, Redshift, and EMR .
• Support Azure data services, particularly Azure Data Factory and Power BI .
• Implement data quality checks to ensure accuracy, completeness, consistency, and security .

Required Skills & Experience

• 5+ years of professional experience in Data Engineering .
• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology , or equivalent experience.
• Strong hands-on experience with Python and/or SQL .
• Strong knowledge of Apache Spark and big-data processing.
• Experience with Kafka ; knowledge of Apache Flink is an advantage.
• Strong understanding of Data Lakes, Data Warehousing, ETL/ELT, and data modelling .
• Hands-on experience with Databricks and/or Snowflake .
• Strong experience with AWS data services
• Experience with Azure Data Factory and Azure data services.
• Experience with Power BI for data analysis and visualization.
• Good knowledge of DevOps, CI/CD, automated testing, and release processes .
• Understanding of data quality, monitoring, security, and governance.

Please apply with your CV, we are really looking forward to hear from you and have you #EngineeringTheChange

together