Data Engineer

Oscar Technology; Greater London; On-site; GBP 60,000 - 75,000; Full time

Benefits offered by this job

Hybrid working (London-based)

Generous benefits package

Ownership in data platform

Job summary

Oscar Technology in London (Hybrid) is seeking a hands-on Data Engineer to help build and optimise scalable, cloud-based data infrastructure powering analytics and future AI initiatives.

You will design and maintain ETL/ELT pipelines, develop data models, ensure data quality, and collaborate with Product, Engineering, Analytics and Data Science teams to enable reliable data for business decisions.

Qualifications

• 3+ years' commercial experience as a Data Engineer.
• Strong Python and SQL skills.
• Experience building and maintaining ETL/ELT pipelines.
• Commercial experience working with Azure or AWS cloud platforms.
• Experience with modern data platforms such as Databricks, Snowflake or Redshift.
• Experience using orchestration tools such as Airflow, Azure Data Factory or Prefect.
• Strong understanding of data warehousing and data modelling principles.
• Excellent problem-solving skills with a delivery-focused mindset.
• Comfortable working within cross-functional engineering teams.

Responsibilities

• Design, build and maintain scalable ETL/ELT data pipelines across multiple data sources.
• Develop and optimise cloud-based data platforms to support analytics and operational reporting.
• Build robust data models and transformation workflows using modern engineering best practices.
• Ensure data quality, governance and reliability through monitoring, validation and testing.
• Work closely with Data Analysts, Product Managers and Software Engineers to deliver high-quality data solutions.
• Optimise pipeline performance, scalability and cost efficiency.
• Contribute to the ongoing development of the company's cloud data architecture.
• Help establish best practices around automation, documentation and CI/CD within the data team.

Skills

Python

SQL

ETL/ELT

Azure

AWS

Databricks

Snowflake

Airflow

Data warehousing

Data modelling

Tools

Databricks

Snowflake

Redshift

Airflow

Azure Data Factory

Prefect

Job description

Data Engineer

Location: London (Hybrid)

Salary: £60,000 - £75,000 + benefits

The Role

We are working with a fast-growing technology company that is continuing to invest heavily in its data platform as it scales.

They are looking for a hands-on Data Engineer to help build and optimise modern cloud-based data infrastructure that supports analytics, reporting, and future AI initiatives across the business.

You'll play a key role in developing scalable data pipelines, improving data quality, and helping shape the company's growing data function. Working closely with Product, Engineering, Analytics and Data Science teams, you'll ensure data is reliable, accessible and ready to power business decisions.

This is an excellent opportunity to join a collaborative engineering team where you'll have genuine ownership, influence over technical decisions, and exposure to a modern cloud data stack.

Key Responsibilities

• Design, build and maintain scalable ETL/ELT data pipelines across multiple data sources
• Develop and optimise cloud-based data platforms to support analytics and operational reporting
• Build robust data models and transformation workflows using modern engineering best practices
• Ensure data quality, governance and reliability through monitoring, validation and testing
• Work closely with Data Analysts, Product Managers and Software Engineers to deliver high-quality data solutions
• Optimise pipeline performance, scalability and cost efficiency
• Contribute to the ongoing development of the company's cloud data architecture
• Help establish best practices around automation, documentation and CI/CD within the data team

Required Skills & Experience

• 3+ years' commercial experience as a Data Engineer
• Strong Python and SQL skills
• Experience building and maintaining ETL/ELT pipelines
• Commercial experience working with Azure or AWS cloud platforms
• Experience with modern data platforms such as Databricks, Snowflake or Redshift
• Experience using orchestration tools such as Airflow, Azure Data Factory or Prefect
• Strong understanding of data warehousing and data modelling principles
• Excellent problem-solving skills with a delivery-focused mindset
• Comfortable working within cross-functional engineering teams

Nice to Have

• Experience with dbt
• Exposure to streaming technologies such as Kafka
• Experience within a high-growth SaaS or technology business
• Familiarity with Infrastructure as Code (Terraform)
• Experience supporting machine learning or AI workloads

What's on Offer

• Salary up to£75,000 depending on experience
• Generous benefits package
• Hybrid working (London-based)
• Opportunity to join a rapidly growing technology business investing heavily in its data platform
• High-impact role with genuine ownership and technical influence
• Collaborative engineering culture with excellent opportunities for progression

UK-based candidates only.