As a Lead Data Engineer at DevologyX, you'll be at the forefront of designing and scaling data platforms. This role is perfect for someone with extensive experience in data engineering who enjoys leading teams and driving projects.
Innovative and team-oriented
DevologyX is seeking a Lead Data Engineer to spearhead the design and development of cutting-edge data platforms. In this role, you will lead a talented engineering team, focusing on creating scalable data pipelines and integration solutions that meet the needs of the business. Your expertise will be crucial in building and optimizing ETL/ELT processes, as well as developing data warehouses and analytics platforms.
Your daily responsibilities will include implementing best practices for data modeling, governance, and quality, ensuring that the data solutions you create are both efficient and reliable. You will collaborate closely with both technical and business teams to translate their requirements into effective data solutions. Additionally, you will drive the end-to-end delivery of enterprise data projects, utilizing Agile methodologies to ensure timely and successful outcomes.
This role is ideal for someone with over eight years of experience in data engineering, data warehousing, or cloud data platforms. You should have strong technical skills in Microsoft Fabric, Databricks, Azure SQL/SQL Server, and be proficient in programming languages such as Python and PySpark. Familiarity with data orchestration tools like Azure Data Factory is also essential.
If you are passionate about data and enjoy leading teams to achieve great results, this position at DevologyX could be the perfect fit for you. Join us in shaping the future of data engineering and make a significant impact in a dynamic and innovative environment.
You'll be taken to the original listing on PNet to apply.