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.

• 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.

• 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.

• 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.