Data Engineer

TieTalent; London; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

A leading digital media group is seeking a Data Engineer to join their London team. The role involves designing scalable data pipelines, automating workflows, and supporting data modelling for analytics. Ideal candidates should have strong SQL, proficiency in Python or Java, and cloud experience (preferably GCP). This opportunity offers a hybrid work model with potential for fast-paced career growth.

Qualifications

• Strong SQL and experience with relational/non-relational databases.
• Proficiency in Python and/or Java.
• Experience with cloud infrastructure (GCP, AWS, or similar).

Responsibilities

• Design and maintain scalable data pipelines across diverse sources.
• Automate and optimise workflows using tools like Airflow, dbt, and Spark.
• Support data modelling for analytics, dashboards, and A/B testing.

Skills

SQL

Python

Java

Airflow

dbt

Spark

Education

Bachelor's degree in Computer Science or related field

Tools

GCP

AWS

BigQuery

Job description

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About

Job Title: Data Engineer Location: London (Hybrid - 2 days in office) Type: Full-time Agency: Representing a leading digital media group We're representing a well-established digital media company with a growing portfolio of high-traffic content brands. As they expand their data capabilities, they're looking for a Data Engineer to join their London-based team. Key Responsibilities: Design and maintain scalable data pipelines across diverse sources. Automate and optimise workflows using tools like Airflow, dbt, and Spark. Support data modelling for analytics, dashboards, and A/B testing. Collaborate with cross-functional teams to deliver data-driven insights. Work with cloud platforms (GCP preferred) and tools like BigQuery.Requirements: Strong SQL and experience with relational/non-relational databases. Proficiency in Python and/or Java. Experience with cloud infrastructure (GCP, AWS, or similar). A proactive, collaborative approach and strong communication skills.This is a fantastic opportunity to work in a fast-paced, content-rich environment and help shape the future of data in digital publishing. Diversity, equity and inclusion are at the heart of what we value as an organisation. Boston Hale is an equal opportunities employer, and all qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, age, disability or any other status protected by law

About

Job Title: Data Engineer Location: London (Hybrid - 2 days in office) Type: Full-time Agency: Representing a leading digital media group We're representing a well-established digital media company with a growing portfolio of high-traffic content brands. As they expand their data capabilities, they're looking for a Data Engineer to join their London-based team. Key Responsibilities: Design and maintain scalable data pipelines across diverse sources. Automate and optimise workflows using tools like Airflow, dbt, and Spark. Support data modelling for analytics, dashboards, and A/B testing. Collaborate with cross-functional teams to deliver data-driven insights. Work with cloud platforms (GCP preferred) and tools like BigQuery.Requirements: Strong SQL and experience with relational/non-relational databases. Proficiency in Python and/or Java. Experience with cloud infrastructure (GCP, AWS, or similar). A proactive, collaborative approach and strong communication skills.This is a fantastic opportunity to work in a fast-paced, content-rich environment and help shape the future of data in digital publishing. Diversity, equity and inclusion are at the heart of what we value as an organisation. Boston Hale is an equal opportunities employer, and all qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, age, disability or any other status protected by law

Nice-to-have skills

• AWS
• GCP
• Java
• Python
• SQL
• Spark
• London, England, United Kingdom
  
  

Work experience

• Data Engineer
• Data Infrastructure
  
  

Languages

• English

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Technology, Information and Internet

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