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A leading global energy job board is looking for a Lead Data Engineer to build a greenfield modern data platform in Leeds. The role demands significant Databricks experience and leadership capabilities to guide an Agile engineering team. Ideal candidates should have strong skills in Python, PySpark, and SQL, and a passion for Data Science including ML and AI. The salary offered is between £55k and £70k plus additional benefits.
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We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
Lead Data Engineer (Databricks) - Leeds
Our client is a global innovator and world leader with one of the most recognisable names within technology. They are looking for a Lead Data Engineer with significant Databricks experience as well as leadership responsibility to run an exceptional Agile engineering team and provide technical leadership through coaching and mentorship.
We are seeking a Lead Data Engineer capable of leading client delivery, ensuring the highest standards. This will include working with architects, creating automated tests, instilling a culture of continuous improvement and setting standards for the team. You will be responsible for building a greenfield modern data platform using cutting‑edge technologies, architecting big data solutions and developing complex enterprise data ETL and ML pipelines and projections.
Responsibilities include:
Qualifications:
We are keen to hear from talented Lead Data Engineer candidates from all backgrounds.
Location: Leeds
Salary: £55k - £70k + Pension + Benefits
To apply for this position please send your CV to Nathan Warner at Noir Consulting.
Energy Jobline wishes you the very best of luck in your next career move.