Senior Azure Databricks Data Engineer | Commodities & Energy Trading | Greenfield Next-Gen Lakehouse | Up to £110K + Bonus + Benefits
We are recruiting a senior Data Engineer for one of the world's largest and most diverse general trading companies, specializing in energy and commodities trading. The role is based in London with a hybrid working model (3 days in office per week).
As a senior member of the core engineering team, you’ll guide a small team of data engineers, designing and maintaining a modern lakehouse-based data platform that supports day‑to‑day operations and long‑term business growth.
Details for the position:
- Salary: Up to £110,000 per annum + Bonus & Benefits
- Location: London (Hybrid – 3 days in the office per week)
In this role, you will:
- Architect and build scalable data solutions using Snowflake, Databricks, Synapse/Fabric, and PySpark.
- Establish and champion best practices for data engineering, including security, performance, and maintainability.
- Lead a small team of engineers and collaborate with the Head of Core Engineering and cross‑functional business units.
- Integrate data pipelines with visualization tools such as Power BI and Tableau.
- Drive the development of a greenfield enterprise foundation that serves as a gateway for business and trading teams.
Key Responsibilities:
- Solid grasp of modern data engineering concepts and workflows.
- Familiarity with Azure and related DevOps tools.
- Strong Python programming capability.
- Knowledge of data orchestration, pipeline development, and data modelling.
- Background in connecting data platforms with visualization tools like Power BI and Tableau.
Seniority Level: Mid‑Senior
Employment Type: Full‑time
Job Function: Information Technology
We look forward to receiving applications from motivated senior data engineers eager to shape the future of data infrastructure in a dynamic trading environment.
#J-18808-Ljbffr”, “datePosted”: “2026-05-20”, “hiringOrganization”: { “@type”: “Organization”, “name”: “VirtueTech Recruitment Group”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__436781803__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “” } } }Senior Azure Databricks Data Engineer | Commodities & Energy Trading | Greenfield Next-Gen Lakehouse | Up to £110K + Bonus + Benefits
We are recruiting a senior Data Engineer for one of the world’s largest and most diverse general trading companies, specializing in energy and commodities trading. The role is based in London with a hybrid working model (3 days in office per week).
As a senior member of the core engineering team, you’ll guide a small team of data engineers, designing and maintaining a modern lakehouse-based data platform that supports day‑to‑day operations and long‑term business growth.
Details for the position:
- Salary: Up to £110,000 per annum + Bonus & Benefits
- Location: London (Hybrid – 3 days in the office per week)
In this role, you will:
- Architect and build scalable data solutions using Snowflake, Databricks, Synapse/Fabric, and PySpark.
- Establish and champion best practices for data engineering, including security, performance, and maintainability.
- Lead a small team of engineers and collaborate with the Head of Core Engineering and cross‑functional business units.
- Integrate data pipelines with visualization tools such as Power BI and Tableau.
- Drive the development of a greenfield enterprise foundation that serves as a gateway for business and trading teams.
Key Responsibilities:
- Solid grasp of modern data engineering concepts and workflows.
- Familiarity with Azure and related DevOps tools.
- Strong Python programming capability.
- Knowledge of data orchestration, pipeline development, and data modelling.
- Background in connecting data platforms with visualization tools like Power BI and Tableau.
Seniority Level: Mid‑Senior
Employment Type: Full‑time
Job Function: Information Technology
We look forward to receiving applications from motivated senior data engineers eager to shape the future of data infrastructure in a dynamic trading environment.
#J-18808-Ljbffr…