Data Engineer

Marsbridge Capital Limited; Greater London; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

Marsbridge Capital Limited is seeking a Data Engineer to build and maintain the firm’s data pipelines and infrastructure. You will ensure researchers and models have clean, timely, and reliable data around the clock.

Design, implement, and optimize ETL/ELT processes for market and alternative data. Manage data warehouses with SQL/NoSQL and time-series databases, and work across AWS and GCP to scale data infrastructure.

Qualifications

• Experience designing and maintaining ETL/ELT pipelines.
• Experience with data warehousing solutions.
• Experience with cloud platforms (AWS, GCP).
• Ability to ensure data integrity and availability.

Responsibilities

• Design, build, and maintain robust ETL/ELT pipelines for market and alternative data.
• Manage and optimize our data warehousing solutions (SQL, NoSQL, time-series databases).
• Ensure data integrity, accuracy, and availability across all systems.
• Work with cloud platforms (AWS, GCP) to build scalable data infrastructure.

Skills

ETL/ELT pipelines

Data integrity

Data availability

Cloud platforms

Tools

SQL

NoSQL

Time-series databases

AWS

GCP

Data warehousing

Job description

Enjoy ownership, mentorship, flexibility, and the chance to make a real impact, beyond just a paycheck.

We welcome talented engineers and researchers. Explore our roles, including project-based opportunities and internships.

Join our team

Data Engineer

Data is the fuel for our business. You will be responsible for building and maintaining the firm’s data pipelines and infrastructure. You will ensure our researchers and models have clean, timely, and reliable data 24/7.

Key responsibilities

• Design, build, and maintain robust ETL/ELT pipelines for market and alternative data.
• Manage and optimize our data warehousing solutions (SQL, NoSQL, time-series databases).
• Ensure data integrity, accuracy, and availability across all systems.
• Work with cloud platforms (AWS, GCP) to build scalable data infrastructure.

Our culture / Why work with us

Work with us, grow with us, win with us

Evidence before conviction

Test investment ideas, challenge assumptions and let robust validation guide decisions.

From research to working systems

Connect financial research with clean data, reproducible backtests and dependable tools clients can use.

Own a problem, share what you learn

Collaborate directly with researchers and engineers, take responsibility and share findings, including what didn’t work.