Data Technical lead

Data Technical lead

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
Eaglecliff Recruitment

At a Glance

  • Tasks: Lead the design and implementation of high-performance data solutions on Azure and Databricks.
  • Company: Join a world-leading energy trading company with a focus on innovation.
  • Benefits: Competitive salary, global exposure, and opportunities for professional growth.
  • Other info: Dynamic role with opportunities to mentor and influence technical direction.
  • Why this job: Make a real impact in cloud modernization and drive technical excellence.
  • Qualifications: Strong leadership skills and experience in data solutions and financial trading.

The predicted salary is between 70000 - 90000 Β£ per year.

Role Summary Exciting opportunity for a dynamic Technical Lead with strong Databricks experience and Azure to join a world leading energy trading company.

Key Responsibilities Leading the design, development, and implementation of scalable, high-performance data solutions on Azure and Databricks.

Defining and driving data strategy, data governance, data quality, and platform best practices.

Optimising platform runtime performance and managing overall cloud costs, with a strong focus on Databricks streaming workloads.

Providing end-to-end technical leadership, from solution architecture through delivery and production support.

Collaborating with business stakeholders to understand requirements and translate them into robust technical solutions.

Demonstrating strong ownership, accountability, and stakeholder management skills.

Having experience within the financial trading domain, including knowledge of trading data models and related business processes.

Driving technical decision-making, mentoring engineering teams, and ensuring successful delivery of business outcomes.

Qualifications The successful candidate will possess excellent communication skills, strong leadership capabilities, and the ability to influence technical direction while delivering complex data solutions from concept to implementation.

Business Context Products Data Exchange (PDE) is a centralized data repository of harmonized NA and WONA data.

Business case: Achieving cloud modernization is imperative to alleviate speed and agility challenges faced with the current on-premise data landscapes and to increase technical capabilities necessary to deliver outcomes of the PDS 2030 Vision.

Benefits

  • Global
  • Reporting: consistent and cleansed view of global P
Eaglecliff Recruitment

Contact Details:

Eaglecliff Recruitment Recruitment Team

We think you need these skills to ace Data Technical lead

SQL
Data Engineering
Data Pipeline Development
Problem-Solving Skills
Python
API Integration
Communication Skills