Data Engineer - London

Yeah! Global; Greater London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A forward-thinking tech company in Greater London is seeking a skilled Data Engineer. The ideal candidate will design, implement, and maintain efficient data pipelines. Responsibilities include integrating raw data, developing data warehouses, and optimizing database performance. Qualified individuals will have a Bachelor's degree in Computer Science and proven experience in data engineering, alongside strong proficiency in SQL and familiarity with big data technologies. The company values problem-solving skills and teamwork as essential traits.

Qualifications

• Proven experience as a Data Engineer or in a similar role.
• Familiarity with relational databases such as MySQL, PostgreSQL, Oracle.
• Knowledge of cloud-based data solutions.

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Integrate and organize raw data into structured formats.
• Implement and manage ETL processes.

Skills

SQL proficiency

Data integration tools experience

Programming in Python

Problem-solving skills

Teamwork abilities

Education

Bachelor's degree in Computer Science or related field

Tools

Hadoop

Spark

Kafka

AWS

Azure

Google Cloud Platform

Job description

Note: This position does not offer any Visa sponsorship. We are only looking for applicants who are either local to London, UK, or ready to relocate to the employer's location.

Job Summary:Our Client is looking for a skilled Data Engineer to join their team. The ideal candidate will be responsible for designing, implementing, and maintaining data pipelines that ensure efficient and reliable data flow across our systems. You will work closely with data scientists, analysts, and other stakeholders to support data-driven decision-making processes.

Key Responsibilities:

• Design, develop, and maintain scalable and efficient data pipelines.
• Integrate, clean, and organize raw data from various sources into structured formats.
• Develop and maintain data warehouses and data lakes to support analytics and business intelligence needs.
• Implement and manage ETL (Extract, Transform, Load) processes to ensure data quality and consistency.
• Optimize database performance and query execution.
• Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
• Ensure data security and compliance with relevant data protection regulations.
• Monitor and troubleshoot data-related issues and provide timely resolutions.
• Document data engineering processes, architectures, and workflows.

Qualifications:

• Bachelors degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, Oracle).
• Familiarity with big data technologies such as Hadoop, Spark, and Kafka.
• Experience with data integration tools and platforms (e.g., Talend, Apache NiFi).
• Proficiency in programming languages such as Python, Java, or Scala.
• Knowledge of cloud-based data solutions (e.g., AWS, Azure, Google Cloud Platform).
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.

Preferred Skills:

• Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Knowledge of data governance and data privacy regulations.
• Certification in data engineering or related fields.