PRINCIPAL DATA ENGINEER - AZURE, DATA

Principal Data Engineer Opportunity Are you an experienced Principal Data Engineer looking to work for a global leader in professional services? Our client, a prestigious and highly-regarded organisation, is seeking a talented individual to join their team. If you're passionate about data engineering and ready to take on complex projects, then this is the role for you! Key Skills: *Solid background in Data Engineering, with expertise in designing, implementing, and analysing data. *Strong proficiency in T-SQL and other query languages, DMBS (database management system). *Programming skills in R, Python, or Spark, and experience with object-oriented languages. *Highly analytical mindset, with a technical, engineering, mathematical, or scientific degree. *Excellent communication skills, collaborating with stakeholders, regulatory authorities, and management. Your Role: As a Principal Data Engineer, you'll be integral in leading innovative data-centric products, predictive analysis work, and designing automated solutions. You'll be responsible for continuously improving data across all areas while keeping up with regulatory frameworks. Your technical leadership will be impactful, providing guidance to your team. Desired Expertise: Experience with data integration, data warehousing, and pipeline development. Knowledge of Microsoft Azure and understanding of DevOps principles. Proven ability to lead and manage teams effectively. What's in It for You: Join a prestigious organisation known for its global reputation and lucrative field. A competitive salary, attractive benefits package, and the opportunity for hybrid working in the Northwest of England. Work on cutting-edge projects, impacting data-driven solutions. Embrace a dynamic work environment with opportunities for professional growth. Don't wait! Apply now via the link below and become a part of our client's exceptional team! Please note Adecco are operating as an Employment Agency. Adecco are an equal opportunities employer. Keywords: DATA, TSQL, PROGRAMMING, PYTHON, R, SQL, TECH, DEVOPS, BI