Senior Data Engineer

2 weeks ago

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

We are seeking a highly skilled Senior Database 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
  • Architect and Implement Data Pipelines:
    • Design, develop, and maintain scalable and efficient data pipelines to ensure seamless data ingestion, processing, and integration across various systems.
    • Optimize ETL processes to ensure data is accurately and efficiently processed and integrated.
  • Streaming Data Platform Development:
    • Lead the development and maintenance of a real-time data streaming platform using tools like Apache Kafka, Databricks, and 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.
  • Communications:
    • 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.
  • 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 to ensure 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.
Benefits
  • 22 days holiday plus 8 days bank holidays.
  • Staff discounts and Friends and Family discounts.
  • Cycle to work scheme and Tech Scheme.
  • Breakfast and drinks provided.
  • Charity day per annum supported.
  • Summer and Christmas Parties.
  • Street food days.
  • Perkbox membership.
  • Enhanced Maternity and Paternity leave.
  • Employee referral scheme.

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