Harnham

Data Engineer - Fully Remote

Job description

Data Engineer

Fully remote

Salary up to €80,000 + benefits

Leading Data-Driven Company

A leading data-driven company is seeking a talented and passionate Data Engineer to join their exceptional team of innovators. This renowned organization pioneers the utilization of data to drive meaningful insights and revolutionize industries. They believe in the untapped possibilities hidden within every data point and are committed to uncovering its true value. With cutting-edge technologies and a diverse team of innovators, they are at the forefront of the data revolution.

Role And Responsibilities

The Data Engineer will play a pivotal role in designing and implementing robust data pipelines, ensuring seamless data integration, and optimizing data storage and retrieval systems. Their expertise will be crucial in driving the scalability and performance of the company's data infrastructure, empowering clients to make data-driven decisions with confidence. Responsibilities include:
  • Designing and developing efficient and scalable data pipelines.
  • Ensuring data quality, integrity, and security throughout the data lifecycle.
  • Implementing advanced data processing algorithms to derive valuable insights.
  • Collaborating with cross-functional teams to understand data requirements and provide innovative solutions.
  • Optimizing data storage and retrieval systems for performance and scalability.
  • Monitoring and troubleshooting data-related issues to ensure smooth operations.
  • Staying updated with the latest industry trends and emerging technologies in data engineering.
Qualifications And Skills
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Proven experience as a Data Engineer or similar role, with a strong understanding of data engineering concepts and best practices.
  • Proficiency in programming languages like Python, Java, or Scala.
  • Hands-on experience with big data processing frameworks such as Hadoop, Spark, or Apache Beam.
  • Expertise in designing and implementing data warehouses, data lakes, and ETL/ELT processes.
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
  • Strong problem-solving skills and the ability to work effectively in a collaborative team environment.
  • Excellent communication and interpersonal skills.
How To Apply

If you are passionate about the power of data and want to make a significant impact, apply now to join this leading data-driven company as a Data Engineer. Please submit your resume, highlighting your relevant experience and qualifications,

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