Exciting opportunity for a Tech Lead for the Data Engineering team to join this global Energy company.

About The Role:

Tech Lead : Data Engineering : Data Lakehouse Platform

We are seeking a highly skilled and motivated Tech Lead for the Data Engineering team to join this dynamic team and to lead the development of this Global Energy Company s Data Lakehouse platform.

Responsibilities:
Lead the design, development, and implementation of data engineering solutions for data Lakehouse platform.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Provide technical leadership, mentoring, and coaching to the data engineering team.
Ensure best practices in data engineering, including data modeling, ETL processes, and data quality.
Optimize big data workloads in Spark and other big data technologies.
Manage CI/CD pipelines using Azure DevOps or Git.
Develop and maintain event-driven pipelines using .NET and other relevant technologies.
Implement and manage Databricks Unity Catalog and other data governance tools.
Deliver projects in the streaming data world using Kafka, KSQL DB, and similar technologies.
Utilize reporting tools such as Power BI and Qlik for data visualization and reporting.

Your Background Needs To Include:

Technical Skills:
Extensive experience with Databricks, Apache Spark, and data lakes.
Proficiency in Python and SQL.
Experience with CI/CD processes using Azure DevOps or Git.
Knowledge of streaming data technologies such as Kafka and KSQL DB.
Familiarity with reporting tools like Power BI and Qlik.
Software engineering experience with .NET for event-driven pipelines and automation testing.
Experience with Databricks Unity Catalog.
Strong skills in data modeling, including Snowflake modeling, star schema modeling, and other techniques.
Ability to optimize big data workloads in Spark.

Interpersonal Skills:
Self-driven and motivated with a strong sense of ownership.
Proven experience in managing and inspiring technical teams.
Excellent communication and collaboration skills.
Ability to effectively interact with business and IT teams.
Strong problem-solving and analytical skills.
Ability to provide constructive feedback and foster a positive team environment.

Preferred Qualifications:
Experience in delivering projects in the streaming data world.
Understanding of data governance and data quality best practices.
Familiarity with automation testing frameworks.
Experience working in Energy trading related projects.

This needs combining with a positive attitude and an ability to work within a large, globally dispersed project team in a multi-cultural environment. You also need to be a self-starter, a logical thinker and a quick learner, with strong initiative and excellent communication, interpersonal and presentation skills, able to write clearly and concisely. We believe in equality of opportunity for all job applicants regardless of gender, marital status, race, colour, nationality, ethnic origin, creed or religion, disability, sexual orientation or age. Specialising within Energy Trading, Oil & Gas and Financial Markets, Eaglecliff Recruitment is ISO accredited, a Member of REC and listed within the top 4% for Financial stability by Dun & Bradstreet. Please telephone for an immediate response or email your CV for a reply within one hour. Eaglecliff Ltd is acting in the capacity of an employment agency for permanent recruitment and an employment business for contractor resourcing.