Data Engineer, Capital.com

Salary not provided

Offers Annual Bonus based on the performance review cycle

SQL

AWS

Docker

Kubernetes

Python

Postgres

Airflow

Redshift

Spark

Junior and Mid level

London

Remote from UK

More information about location

Trading platform & app

Job no longer available

Trading platform & app

501-1000 employees

FintechB2CTradingMobile

Job no longer available

Salary not provided

Offers Annual Bonus based on the performance review cycle

SQL

AWS

Docker

Kubernetes

Python

Postgres

Airflow

Redshift

Spark

Junior and Mid level

London

Remote from UK

More information about location

501-1000 employees

FintechB2CTradingMobile

Company mission

To make the world of finance more accessible, engaging and useful.

Job

Company

Role

Who you are

2+ years of experience in data engineering, focusing on building and maintaining data pipelines
Strong expertise in Python and working with data orchestration tools like Airflow
Experience with SQL databases such as PostgreSQL and Redshift
Familiarity with AWS cloud services and container orchestration tools like Docker and Kubernetes
Experience with Spark is a plus
Ability to collaborate with various teams and propose innovative solutions
Communication: Effective communication skills, especially with teams responsible for security, operations and product
Analytical thinking: Ability to tackle and investigate complicated problems and convert it to the task
Adaptability to Rapid Changes: Demonstrated capability to adjust to quick technological shifts and evolving business requirements
Ownership and Accountability: Readiness to take ownership of tasks, issues as well as demonstrate accountability of the results and outcome

What the job involves

As a Data Engineer, you will be responsible for designing, implementing, and optimizing batch and streaming data pipelines that ensure efficient and reliable data flow throughout the company
You will support our existing data infrastructure while also extending the toolset with new technologies
You’ll collaborate closely with different teams to propose improvements and innovations that enhance data accessibility and performance
Data Pipeline Development: Build, implement, and maintain batch and streaming data pipelines that support the company’s data requirements
Toolset Extension: Continuously expand the data engineering toolkit by integrating new technologies and methodologies that improve performance and scalability
Stack Support: Provide support and maintenance for the current data infrastructure, ensuring that all systems remain operational and efficient
Continuous Improvement: Propose and implement new technologies and improvements to optimize the data engineering process
Collaboration: Work with cross-functional teams to gather requirements and translate them into technical specifications for the data pipeline

Salary benchmarks

Our take

Historically, the wealth-building opportunities afforded by investment have been reserved for those who already have money to spare, but Capital.com is working to change this. The company supplies a trading platform for everyday people to access trading opportunities and training resources, harnessing the power of technology to do so.

Founded in 2016, Capital.com is now a global company, boasting year-on-year growth since it was launched. Its platform gives users access to over 3,700 markets for investing directly in global stocks and ETFs, or trade derivatives across the world. Focused on removing the barriers of entry for trading, the company supplies 24/7 customer service, on top of learning tools such as rolling news feeds, access to a demo account, and a YouTube channel.

Capital.com is one of Europe’s fastest-growing investment-trading platforms and aims to continue its expansion whilst solidifying current operations. With an active and growing user base, that continued to grow despite a downturn in the market in 2022, the company is poised to maintain its successes into the future.