Principal Data Engineer
vor 6 Stunden
𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗖𝗼𝗺𝗽𝗮𝗻𝘆:Our client is one of the worlds leading independent commodity trading companies, operating worldwide. Known for innovation and integrity, the company is a market leader in the trade, transport, storage, and optimization of energy products. This is an opportunity to work in a global, dynamic environment at the heart of the energy sector.𝗥𝗼𝗹𝗲 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄:This position is a high-priority engagement focused on developing business-facing capabilities, particularly the foundational data needed by the research and trading teams. The Data Engineer will operate within the Hub and Spokes operational model, likely embedded within a Spoke Pod in Geneva to ensure proximity with the business and direct support for the critical trading desk project.𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀:• Time-Series & Curve Mastery: Design, implement, and maintain complex data structures for trading, mastering multi-feed validation, unit/calendars/normalization, versioned curve stores, and scenario/scalarisation to support quant strategies.• Streaming Data Pipelining: Architect and implement scalable data ingestion and processing systems, specializing in streaming at scale with technologies like Kafka/Flink, ensuring robust handling of stateful operations, exactly-once semantics, and late/out-of-order data.• Industrialization and Discipline: Enforce expert programming discipline, including strong testing discipline (unit/contract/property-based), packaging, CI/CD, and GitOps practices.• Data Quality and Orchestration: Utilize orchestration tools (e.g., Airflow, Data Factory, Dagster) and enforce data quality contracts using dbt/Spark/SQL. Pipelines must aim for a Data Quality Compliance > 95%.• Platform Reusability: Develop reusable ETL/ELT templates, contributing to the goal of achieving a Template Reuse Rate > 70%.𝗖𝗼𝗿𝗲 𝗤𝘂𝗮𝗹𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀:• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline.• At least 5 years of experience as a Data Engineer, ideally in a cloud-native environment.• Prior experience in a trading, commodity, energy, or financial services environment.• Strong expertise in Azure Data Factory, Azure Synapse, SQL Server, and Azure Data Lake.• Solid experience with SQL and ETL/ELT development.• Proven experience with data modeling (fact/dimension tables), data warehouse design, and BI support.• Comfortable working with big data sets and optimizing data delivery and pipeline performance.• Fluent in English (written and spoken) is mandatory.• Excellent analytical, problem-solving, and communication skills.𝗗𝗲𝘀𝗶𝗿𝗮𝗯𝗹𝗲 𝗦𝗸𝗶𝗹𝗹𝘀:•Domain Fluency:Trades/orders, ETRM/CTRM integration patterns (e.g., using CDC/event adapters), positions/exposures maths, NEAR REAL TIME/telemetry.• Knowledge of data governance, data quality, and metadata management.• Azure certification (e.g., Azure Data Engineer Associate) is a plus.• Experience in commodity trading or energy industries is a strong advantage.𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮:By submitting your resume, you agree to the retention and use of your personal data by TSG for recruitment purposes, including sharing with our clients in the context of your application.
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