Data Engineer

Job Opportunity: Data Engineer (Databricks Specialist) Location : Manchester | Employment Type : Full-time. Are you a passionate Data & AI expert with a strong Databricks background? A leading consulting firm is seeking a person skilled in Data Engineering to join their growing team. In this senior role, you’ll work with clients to design and implement scalable, high-performance Databricks-based platforms that drive impactful business outcomes Key Responsibilities As a Data Engineer, you will be responsible for designing, implementing, and optimizing data workflows that drive critical insights across the business. You'll work with cutting-edge technologies to build scalable, high-performance data solutions that meet the evolving needs of our clients. Data Pipeline Development: Design and implement robust ETL/ELT workflows using Databricks to process and transform large datasets efficiently, enabling real-time insights and decision-making. Data Integration: Develop scalable data ingestion processes from multiple sources and integrate them into Delta Lake or data lakes for unified storage and analysis. Collaboration: Partner closely with data architects, data scientists, and business analysts to understand requirements and deliver data solutions that align with business objectives and enhance analytics capabilities. Performance Optimization: Optimize Databricks workflows for performance, scalability, and cost efficiency, including Spark tuning and cluster management . Cloud Integration: Build cloud-native data engineering solutions on leading cloud platforms like Azure, AWS, or GCP to ensure seamless, secure, and efficient data management. Governance & Quality: Implement and maintain data governance best practices, ensuring data consistency, quality, and security across the organization. Automation: Automate repetitive tasks, develop robust CI/CD pipelines, and streamline data workflows to improve operational efficiency and reduce manual effort. Documentation: Create and maintain clear, detailed documentation of processes, workflows, and architectures to ensure knowledge sharing and promote best practices within the team. Skills & Qualifications Required: Experience: 3 years of experience in data engineering , with hands-on expertise in Databricks . Proven ability to deliver large-scale data pipelines in consulting or enterprise environments. Technical Expertise: Proficiency in Databricks, Delta Lake , and Apache Spark . Strong programming skills in Python and SQL , with optional experience in Scala . Experience with cloud platforms such as Azure (preferred), AWS , or GCP . Strong understanding of relational and non-relational databases , data lakes , and real-time data processing . Soft Skills: Strong problem-solving skills and a proactive approach to addressing complex challenges. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. Preferred: Experience with tools like MLflow or other AI/ML frameworks . Familiarity with data visualization tools such as Power BI or Tableau . Certification in Databricks or cloud platforms (e.g., Azure Data Engineer Associate ). Experience in automation and CI/CD practices for data engineering pipelines. Why Join Us? Challenging Projects: Work on diverse and impactful projects for clients across various industries, contributing to real-world data solutions. Growth Opportunities: Gain exposure to cutting-edge technologies and continue developing your technical expertise within a fast-paced, innovative environment. Supportive Culture: Join a collaborative team that values creativity, innovation, and continuous learning. Competitive Package: We offer an attractive salary, comprehensive benefits, and flexible working options, including remote work opportunities. If you're passionate about data engineering , enjoy tackling complex challenges, and want to be part of a forward-thinking team, we want to hear from you

Location: Manchester, GB

Posted Date: 1/15/2025