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Senior Data Platform Engineer

2 months ago

Cramlington, Northumberland, United Kingdom Printed Full time
About the Role

We are seeking a highly skilled Senior Data Platform Engineer to join our team at Printed. As a key member of our data engineering team, you will play a crucial role in designing, building, and maintaining our data platform, with a strong emphasis on streaming data, cloud infrastructure, and machine learning operations.

Key Responsibilities
  • Design and Implement Data Pipelines
    • Develop and maintain scalable and efficient data pipelines using cloud-based data architectures.
    • Optimize ETL processes to ensure seamless data ingestion, processing, and integration across various systems.
  • Streaming Data Platform Development
    • Lead the development and maintenance of a real-time data streaming platform using tools like Apache Kafka, Databricks, Kinesis.
    • Ensure the integration of streaming data with batch processing systems for comprehensive data management.
  • Cloud Infrastructure Management
    • Utilize AWS data engineering services (including S3, Redshift, Glue, Kinesis, Lambda, etc.) to build and manage our data infrastructure.
    • Continuously optimize the platform for performance, scalability, and cost-effectiveness.
  • Collaboration and Communication
    • Collaborate with cross-functional teams, including data scientists and BI developers, to understand data needs and deliver solutions.
    • Leverage the project management team to coordinate project requirements, timelines, and deliverables, allowing you to concentrate on technical excellence.
  • ML Ops and Advanced Data Engineering
    • Establish ML Ops practices within the data engineering framework, focusing on automation, monitoring, and optimization of machine learning pipelines.
  • Data Quality and Governance
    • Implement and maintain data quality frameworks, ensuring the accuracy, consistency, and reliability of data across the platform.
    • Drive data governance initiatives, including data cataloguing, lineage tracking, and adherence to security and compliance standards.
Requirements
  • Experience
    • 3+ years of experience in data engineering, with a proven track record in building and maintaining data platforms, preferably on AWS.
    • Strong proficiency in Python, experience in SQL and PostgreSQL. PySpark, Scala or Java is a plus.
    • Familiarity with Databricks and the Delta Lakehouse concept.
    • Experience mentoring or leading junior engineers is highly desirable.
  • Skills
    • Deep understanding of cloud-based data architectures and best practices.
    • Proficiency in designing, implementing, and optimizing ETL/ELT workflows.
    • Strong database and data lake management skills.
    • Familiarity with ML Ops practices and tools, with a desire to expand skills in this area.
    • Excellent problem-solving abilities and a collaborative mindset.
  • Nice to Have
    • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
    • Knowledge of machine learning pipelines and their integration with data platforms.

About Printed

Printed is a leading company in the industry, and we are committed to delivering high-quality products and services to our customers. Our team is passionate about innovation and excellence, and we are looking for talented individuals who share our values.