Senior Azure Data Engineer for Energy Trading Platform

Eaglecliff; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Eaglecliff is seeking a Senior Data Engineer with Azure experience to join a world-leading Energy Trading company on a Data Flow project for their Front Office. You will design and implement robust data pipelines and contribute to data foundation initiatives.

You will collaborate with technical teams and business managers, present reports, and drive efficiency across pilots to maximize value. The role includes building a Data Lake and enabling faster, data-driven trading decisions.

Qualifications

• Proven mastery of AWS, Azure, or SAP in data environments.
• Expert ELT design and data modeling.
• Strong data integration and ingestion capabilities.
• Advanced data manipulation and processing skills.
• Proficient in GitHub, Azure DevOps and CI/CD.
• Hands-on with Data Factory, Databricks, Synapse and related tools.

Responsibilities

• Lead data foundation roll-out and embedding initiatives.
• Coordinate change, incident and problem management processes.
• Present reports to stakeholders and act as SME on data analysis and design.
• Drive efficiency across pilots to maximize value delivery.
• Contribute to CoE and CoP communities.
• Tackle low hanging fruit: move from Excel to modern visualization tools.
• Support analysis of refinery maintenance and fuel-supply data.
• Create a Data Lake (not a Data Swamp) to improve decision making.

Skills

AWS Master

Azure Master

SAP Master

ELT Master

Data Modeling Master

Data Integration

Data Ingestion

Data Manipulation

Data Processing

GitHub

Azure DevOps

Data Factory

Databricks

SQL DB

Synapse

Stream Analytics

Glue

Kinesis

Redshift

PyTest

SonarQube

Tools

GitHub

GitHub Actions

Azure DevOps

Azure Data Factory

Databricks

Azure Synapse

Kinesis

Redshift

Job description

Eaglecliff is seeking a Senior Data Engineer with Azure experience to join a world-leading Energy Trading company on a Data Flow project for their Front Office. You will design and implement robust data pipelines and contribute to data foundation initiatives.

You will collaborate with technical teams and business managers, present reports, and drive efficiency across pilots to maximize value. The role includes building a Data Lake and enabling faster, data-driven trading decisions.