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Tech Lead – Azure Databricks Data Platform

Job in City Of London, Central London, Greater London, England, UK
Listing for: Eaglecliff
Full Time position
Listed on 2026-07-11
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 90000 - 130000 GBP Yearly GBP 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Location: City Of London

Overview

Exciting opportunity for a dynamic Data Technical Lead with strong Databricks experience and Azure to join a leading energy trading company. The role focuses on Azure Data Platform and Databricks with emphasis on delivering scalable, enterprise data solutions.

Responsibilities
  • Lead the design, development, and implementation of scalable, high-performance data solutions on Azure and Databricks.
  • Define and drive data strategy, governance, data quality, and platform best practices.
  • Optimize platform runtime performance and manage cloud costs, with a focus on Databricks streaming workloads.
  • Provide end-to-end technical leadership from solution architecture through delivery and production support.
  • Collaborate with business stakeholders to translate requirements into robust technical solutions.
  • Demonstrate ownership, accountability, and stakeholder management skills.
  • Apply relevant experience in the financial trading domain, including trading data models and related business processes.
  • Drive technical decision-making, mentor engineering teams, and ensure delivery of business outcomes.
  • Communicate effectively and influence technical direction while delivering complex data solutions from concept to implementation.
Qualifications
  • Extensive experience with Azure Data Platform and Databricks.
  • Hands-on expertise with Structured Streaming, Delta Live Tables (DLT), PySpark, Python, and SQL.
  • Proven track record delivering large-scale enterprise data platforms.
  • Strong leadership and mentoring capabilities, with the ability to guide engineering teams and stakeholders.
  • Excellent communication skills and ability to translate business requirements into technical solutions.
  • Experience with in the financial trading domain and knowledge of trading data models and processes.
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