Data Engineer – Remote-Eligible, Flexible Hours

Gohyred; Greater London; Hybrid; GBP 69,000 - 103,000; Full time

Benefits offered by this job

Occasional remote work

Autonomy and flexibility

Job summary

Zeta Global is seeking a talented Data Engineer to join our Copenhagen Data Exchange team. You will contribute to the analysis, development, and maintenance of a complex data infrastructure and collaborate with global teams.

The role offers significant autonomy, agile practices, and opportunities to work on end-to-end data solutions. You will be involved from brainstorming to production, with an emphasis on analysis, prototyping, and development in a fast-paced environment.

Qualifications

• Strong academic background in a quantitative field.
• Experience in designing, building, and maintaining scalable data pipelines.
• Proficiency in Python, Scala or other OOP languages for data engineering.
• Strong data analysis skills with large datasets.
• Knowledge of distributed data processing for batch workloads.
• Solid understanding of database technologies.

Responsibilities

• Develop, analyze, and maintain robust data pipelines and data models.
• Collaborate with international product stakeholders and engineers.
• Prototype and implement data-driven solutions and ETL processes.
• Contribute to an agile/rapid prototyping culture with focus on flexibility and collaboration.

Skills

Python

Scala

Data analysis

Distributed data processing

Database technologies

Education

Quantitative field (CS, Math, Physics, or related)

Tools

Apache Spark

Airflow

AWS

Job description

Zeta Global is seeking a talented Data Engineer to join our Copenhagen Data Exchange team. You will contribute to the analysis, development, and maintenance of a complex data infrastructure and collaborate with global teams.

The role offers significant autonomy, agile practices, and opportunities to work on end-to-end data solutions. You will be involved from brainstorming to production, with an emphasis on analysis, prototyping, and development in a fast-paced environment.