Senior Data Engineer: Build Scalable Data Pipelines

United States Digital Space LLC; Greater London; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Competitive salary

Premium Health insurance

Career and skills development

Fun and collaborative team environment

New modern office space

Job summary

Betty is seeking an experienced Data Warehouse Engineer to design and maintain scalable data pipelines in a London office. You will collaborate with Engineering and business teams to define data requirements and build robust data platforms that support regulatory reporting and internal analytics.

The role requires strong Python and SQL skills, experience with cloud data warehouses, and exposure to orchestration tools. A collaborative, growth-focused environment and modern office space await.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, or related field.
• 3+ years of experience in a data warehouse engineering or related role.
• Experience with cloud data warehousing technologies, such as Amazon Redshift, Snowflake, or Google BigQuery.
• Good programming skills in Python.
• Proficiency with SQL and data modelling.
• Experience with pipeline orchestration tools (e.g., Airflow, Dagster).
• Understanding of CI/CD principles and automated deployment processes.
• Excellent analytical and problem-solving skills.
• Strong communication and teamwork skills.
• Fluency in English.

Responsibilities

• Collaborate with cross-functional teams, including Engineering, and business stakeholders, to define and understand data requirements.
• Develop and maintain scalable data pipelines for loading data from different sources into the DWH.
• Optimize and fine-tune existing data processes for improved performance.
• Collaborate with infrastructure teams to implement scalable and secure data platform.
• Create and maintain reports for regulatory requirements and internal business needs.
• Evaluate and implement new technologies, tools, and frameworks to enhance data processing and storage capabilities.
• Mentor junior colleagues, providing guidance in data engineering best practices.

Skills

Python

SQL

Data modeling

Airflow

Dagster

CI/CD

Analytical thinking

Communication

English fluency

Education

Bachelor's degree in CS/DS

Tools

Docker

Kubernetes

Looker

Tableau

Power BI

Apache Kafka

DBT

Job description

Betty is seeking an experienced Data Warehouse Engineer to design and maintain scalable data pipelines in a London office. You will collaborate with Engineering and business teams to define data requirements and build robust data platforms that support regulatory reporting and internal analytics.

The role requires strong Python and SQL skills, experience with cloud data warehouses, and exposure to orchestration tools. A collaborative, growth-focused environment and modern office space await.