Data Engineer - London - ETRM - Databricks | AZURE | Python

• Design and implement scalable data pipelines using Databricks and Delta Live Tables (DLT).
• Develop and manage streaming data solutions for Real Time analytics and decision-making.
• Ingest data from various sources-including SAP, ETRM systems using Qlik Replicate and ADF to ingest data from various sources ensuring data quality and consistency.
• Perform data modelling and optimize data structures for analytics and reporting.
• Collaborate with cross-functional teams to understand data requirements and deliver robust solutions.
• Monitor, troubleshoot, and enhance data workflows for performance and reliability.
• Maintain technical documentation and contribute to data engineering best practices.

Applicants must be eligible to work in the specified location

We are looking for a highly skilled Senior Data Engineer with strong analytical skill, problem-solving capabilities and hands-on experience in building scalable data solutions to work on a project at a major Engery Trading organisation based in London. The ideal candidate will have expertise in Python, Databricks (PySpark), streaming architectures, data ingestion frameworks, and Performance/Cost Optimization Technique, along with experience working with’sAP, ETRM data sources would be an added advantage. The candidate will be responsible for designing and implementing scalable data pipelines and enabling Real Time, batch analytics and across the program., * Strong experience with Databricks- DLT, Delta Lake concepts, UC governance.

• Solid understanding of streaming technologies (eg, Spark Structured Streaming, Autoloader).
• Programming skills in Python, SQL, or Scala.
• Proficiency in data modelling, ETL/ELT processes, and data architecture.
• Experience in MS Copilot, AI Foundry, Databricks (Agentbricks, Genie)
• Strong analytical background with problem-solving skills.
• Performance tuning concepts like watermarking, late data handling, parallelism & checkpointing.
• Hands-on expertise in ADF, and Qlik Replicate for data ingestion and replication.
• Experience working in Azure cloud environments.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.