Senior Data Engineer — Remote, Scale Data Pipelines & AI

United States Digital Space LLC; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

the company is seeking a highly skilled Senior Data Engineer to join the core Enterprise Data Engineering team. You will design and expand enterprise-level data infrastructure to empower internal teams to interact with data comprehensively.

The role focuses on big data processing, pipeline orchestration, and data modeling, requiring leadership in implementing scalable data solutions within a fast-paced, data-centric product environment.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 8+ years of progressive experience in data engineering with leadership impact.
• Experience owning production data systems and participating in on-call rotations.
• Proven ability to design and scale enterprise data infrastructure for data-centric products.

Responsibilities

• Design, develop, and maintain high-performance data pipelines using Airflow, DBT, and Python.
• Architect and optimize the data warehouse and lakehouse, primarily using Snowflake.
• Lead integration of diverse data sources (structured and unstructured) into the data ecosystem.
• Define roadmap priorities to ensure internal consumer needs and competitive AI capabilities.
• Mentor junior engineers and drive best practices in code quality, data architecture, and incident response.
• Collaborate with ML engineers, data scientists, and product managers to translate business needs into scalable data solutions.
• Define and monitor data quality SLAs across pipelines and products.

Skills

SQL

Python

Airflow

DBT

Snowflake

Data modeling

On-call experience

Cloud platforms (GCP/AWS)

Data quality

Education

Bachelor's or Master's in CS/Engineering

Tools

Airflow

DBT

Snowflake

Kafka

Datadog

Terraform

Grafana

Job description

the company is seeking a highly skilled Senior Data Engineer to join the core Enterprise Data Engineering team. You will design and expand enterprise-level data infrastructure to empower internal teams to interact with data comprehensively.

The role focuses on big data processing, pipeline orchestration, and data modeling, requiring leadership in implementing scalable data solutions within a fast-paced, data-centric product environment.