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About the role
Job Title: Data Engineer - Digital Services. We are looking to hire a highly skilled and experienced Data Engineer to design, build, and maintain scalable data platforms supporting digital systems, analytics, and intelligent applications. This role focuses on developing robust data pipelines capable of handling structured, semi-structured, unstructured, and time-series data across distributed environments. The Data Engineer will work closely with data scientists, cloud engineers, and product teams to ensure reliable, high-quality data flows that power analytics, AI/ML models, dashboards, and customer-facing digital services. Data Pipeline Engineering & Automation: ~ Design and maintain scalable ETL/ELT pipelines for structured, semi-structured, unstructured, and time-series data. Build automated workflows for data ingestion, transformation, and delivery across batch and real-time environments. Data Modeling & Platform Architecture: ~ Develop scalable data models and contribute to data lake, lakehouse, and warehouse architecture to support analytics, AI/ML, and digital product needs. Data Platforms & Technologies: ~ Implement solutions using modern data tools and frameworks such as Kafka, Spark, Flink, PostgreSQL, ClickHouse, Influx DB, or similar technologies. Data Quality, Observability & Reliability: ~ Establish validation, lineage tracking, monitoring, and alerting to ensure data quality, reliability, and performance. API Integration & Data Connectivity: ~ Build and maintain secure APIs and integrations to enable seamless data exchange across internal and external systems. Apply secure-by-design practices and support data governance, regulatory compliance, and lifecycle management. Work closely with Data Scientists, ML Engineers, Cloud Engineers, and Product Owners to deliver scalable data solutions. Must Have Skills & Experience: 5+ years of experience in Data Engineering or related roles.Strong programming skills in Python, SQL, or similar languages (Scala/Java is a plus).Hands-on experience with distributed data processing frameworks such as Spark, Flink, or Kafka.Experience working with time-series data platforms and large-scale data systems.Solid understanding of ETL/ELT design patterns and scalable data architectures.Experience with data modeling, data warehousing, or lakehouse concepts. ~ Good to Have Skills & Experience: Experience with cloud data platforms or containerized environments. Familiarity with AI/ML data pipelines or feature engineering workflows. Knowledge of monitoring, observability, and data governance practices. Experience working with industrial, IoT, or digital monitoring platforms. analysis tools. Enables reliable, scalable data delivery for analytics and digital products. Supports faster development of data-driven services and intelligent solutions. Improves operational efficiency through high-quality data engineering practices. Opportunities for professional growth and career advancement. Competitive salary and comprehensive benefits package. B.E/B. Tech in Computer Science, Data Engineering, IT, Electronics or equivalent. Relevant Experience Required: 10+ years. Building on more than 40 years of experience, KK Group is a leading systems supplier to the renewable energy industry. Our capabilities span developing state-of-the-art technologies, high-quality lean manufacturing, and flexible aftermarket services. We are a global and diverse team of over 3,700 people, working towards delivering products and services that enable a future powered by renewable energy. At KK Group, our culture and DNA are built on a foundation of can-do attitude and innovation. We actively foster an inclusive work environment that embraces diversity, rejects any form of discrimination, and provides equal opportunities for all people. Our commitment lies in cultivating a strong culture centred around health, safety, wellbeing, and effective teamwork. Our flat hierarchies allow us to make swift decisions and exchange ideas in an open, honest atmosphere where we help each other succeed. What is more, you will be collaborating across several functions and you will experience a distinct team spirit as you work with international colleagues from all over the world. Job Title: Data Engineer - Digital Services. We are looking to hire a highly skilled and experienced Data Engineer to design, build, and maintain scalable data platforms supporting digital systems, analytics, and intelligent applications. This role focuses on developing robust data pipelines capable of handling structured, semi-structured, unstructured, and time-series data across distributed environments. The Data Engineer will work closely with data scientists, cloud engineers, and product teams to ensure reliable, high-quality data flows that power analytics, AI/ML models, dashboards, and customer-facing digital services. Data Pipeline Engineering & Automation: ~ Design and maintain scalable ETL/ELT pipeli
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