Data Engineer – AI Solutions

Dear Aspirant!

We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a great addition to our vibrant international team.

We are looking for: Senior Software Engineer – Data Engineer (AI Solutions),

You’ll make an impact by:

• Design, build, and maintain data pipelines that serve the needs of multiple stakeholders including software developers, data scientists, analysts, and business teams.
• Ensure data pipelines are modular, resilient, and optimized for performance and low maintenance.
• Collaborate with AI/ML teams to support training, inference, and monitoring needs through structured data delivery.
• Implement ETL/ELT workflows for structured, semi-structured, and unstructured data using cloud-native tools.
• Work with large-scale data lakes, streaming platforms, and batch processing systems to ingest and transform data.
• Establish robust data validation, logging, and monitoring strategies to maintain data quality and lineage.
• Optimize data infrastructure for scalability, cost- efficiency, and observability in cloud-based environments.
• Ensure compliance with governance policies and data access controls across projects.

Use your skills to move the world forward!

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• 4+ years of experience designing and deploying scalable data pipelines in cloud environments.
• Proficiency in Python, SQL, and data manipulation tools and frameworks (e.g., Apache Airflow, Spark, dbt, Pandas).
• Practical experience with data lakes, data warehouses (e.g., Redshift, Snowflake, BigQuery), and streaming platforms (e.g., Kafka, Kinesis).
• Strong understanding of data modeling, schema design, and data transformation patterns.
• Experience working with AWS (Glue, S3, Redshift, Sagemaker) or Azure (Data Factory, Azure ML Studio, Azure Storage).
• Familiarity with CI/CD for data pipelines and infrastructure-as-code (e.g., Terraform,
• CloudFormation).
• Exposure to building data solutions that serve AI/ML pipelines, including feature stores and real-time data ingestion.
• Familiarity with observability, data versioning, and pipeline testing tools.
• Experience engaging with diverse stakeholders, gathering data requirements, and supporting iterative development cycles.
• Background or familiarity with the Power, Energy, or Electrification sector is a strong plus.
• Knowledge of security best practices and data compliance policies for enterprise-grade systems.

Create a better #TomorrowWithUs!

This role is based in Bangalore, where you’ll get the chance to work with teams impacting entire cities, countries - and the shape of things to come.

We’re Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow.

Find out more about Siemens careers at: www.siemens.com/careers

Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds