Team Leader - Data Engineering & Integration - Commodities Data

Set clear priorities and technical direction, balancing modernization, production stability, partner needs, and business-as-usual delivery.

Build team capability in data pipelines, integration patterns, Python, SQL, orchestration, automation, observability, controls, and production support.

Partner with Product, Engineering, Data Modelling, Data Quality, Content Acquisition, Enablement, and regional teams to deliver business-aligned outcomes.

Contribute to global Commodities strategy, workflow standards, integration principles, and operating-model evolution.

3+ years of formal people leadership experience, or strong informal leadership

Bachelor's degree or equivalent, preferably in Economics or Finance, or related business / STEM field

Experience leading or materially improving a data manufacturing, data operations, data pipeline, workflow engineering, or integration environment in a commodities, market data, financial data, or similarly complex domain.

Solid understanding of commodities data, including reference data, fundamentals, curves, spot prices, index data, pricing data, environmental commodities, or related market datasets.

Experience designing, improving, or supporting complex data pipelines across ingestion, transformation, enrichment, validation, publication, monitoring, and exception management.

Demonstrable ability to modernize legacy workflows and move teams toward scalable, automated, supportable, and well-controlled operating models.

Strong working knowledge of Python, SQL, orchestration tools, workflow platforms, automation frameworks, observability, and production support practices.

Experience embedding data quality controls, reconciliation, completeness checks, timeliness checks, and exception workflows into production processes.

Ability to work closely with data modelling teams on entity structures, identifiers, taxonomy rules, metadata, and workflow logic.

Experience reducing operational risk through stronger controls, monitoring, documentation, root-cause prevention, and support models.

Demonstrable ability to lead, develop, and coach a team while setting clear priorities and handling senior stakeholder expectations.

Good communication skills, with the ability to translate technical, workflow, and operational risk topics into clear business value.

Experience evaluating or applying AI, automation, or workflow augmentation in a governed and supportable way would be advantageous.

Experience or knowledge in the Bloomberg terminal, and/or Bloomberg Data workflows

Experience or strong curiosity about data modeling in addition to strong Excel and PowerPoint skills, SQL experience, and Coding experience

Strong people leadership skills, including coaching, prioritization, stakeholder management, and building capability in technical data teams.

Experience working closely with data modelling, data quality, engineering, product, acquisition, and regional partners to deliver scalable data solutions.