Senior Engineer, Data Engineering

4 weeks ago

England, United Kingdom NP Group Full time
Job Title: Data Engineer (Databricks Specialist) Location: Employment Type: Full-time
As a Data Engineer , you will be responsible for building, optimizing, and maintaining Databricks-based data pipelines and architectures. You will work closely with clients and internal teams to ensure data solutions are scalable, efficient, and tailored to meet specific business objectives.
This role requires technical expertise in data engineering, hands-on experience with Databricks, and a passion for solving complex data challenges in a consulting environment.

Data Pipeline Development: Data Integration: Develop scalable data ingestion processes from various sources, integrating them into Delta Lake or data lakes.
Collaboration: Work with architects, data scientists, and business analysts to understand requirements and deliver data solutions that align with business goals.
Performance Optimization: Optimize Databricks workflows for performance, scalability, and cost efficiency, including Spark tuning and cluster management.
Implement cloud-native data engineering solutions on platforms like Azure, AWS, or GCP.
Governance & Quality: Ensure data accuracy, consistency, and security by implementing best practices in data governance and quality frameworks.
Automation: Automate repetitive tasks and implement CI/CD pipelines for data workflows.
3+ years of experience in data engineering, with hands-on expertise in Databricks.
~ Proven ability to deliver large-scale data pipelines in a consulting or enterprise environment.
~ Strong programming skills in Python, SQL, and optionally Scala.
~ Experience with cloud platforms like Azure (preferred), AWS, or GCP.
~ Knowledge of relational and non-relational databases, data lakes, and real-time data processing.
~ Experience with tools like MLflow or other AI/ML frameworks.
~ Familiarity with data visualization tools such as Power BI or Tableau.
~ 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.
Growth Opportunities: Gain exposure to the latest technologies and develop your technical and consulting expertise.
Attractive salary, benefits, and flexible working options.

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