Data Engineer (Data Engineering Team)
We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.
As a Data Engineer, you will play a crucial role in our data team, contributing to developing and maintaining data pipelines and systems. You will work closely with data scientists, analysts, and other stakeholders to ensure the availability and reliability of data for decision-making and analytics. Your responsibilities will encompass data ingestion, transformation, and delivery, as well as maintaining and optimizing data infrastructure.
The Data Engineer is expected to contribute to developing and maintaining data infrastructure, ensuring data reliability and availability. You should be able to work independently and as part of a team, adapting to changing data needs and collaborating with data professionals to provide valuable insights to the organization. Staying current with data engineering best practices and emerging technologies is essential for success in this role.
Responsibilities:
- Design, develop, and maintain data pipelines that ingest process, and deliver data from various sources, ensuring data quality and reliability.
- Data Modeling: Create and maintain data models to support reporting, analytics, and business intelligence needs, optimizing data structures for performance and efficiency.
- Implement ETL processes to transform raw data into meaningful insights, handling data transformation, aggregation, and enrichment.
- Monitor and address data quality issues, implement data validation processes, and establish data governance practices.
- Manage and optimize data storage, processing, and distribution systems, ensuring scalability and performance.
- Collaborate with data scientists, analysts, and cross-functional teams to understand data requirements and deliver solutions that meet business needs.
- Document data engineering processes, pipelines, and systems to maintain clear and accessible knowledge for team members.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
- Minimum of 3 years of experience in data engineering or a related field.
- Proven experience with Redshift and Snowflake.
- Experience with DBT.
- Experience with Apache Airflow for workflow orchestration.
- Proficiency in Python for data pipeline development and scripting.
- Experience with AWS cloud services, including S3, EC2, and EMR.
- Familiarity with Kafka for real-time data streaming.
- Familiarity with data visualization and reporting tools (e.g. Tableau, Power BI or Looker).
- Project management skills using Jira or similar tools.
- Ability to collaborate effectively with cross-functional teams and understand business data needs.
- Strong problem-solving skills, a proactive approach to troubleshooting data issues, and critical thinking abilities.
- Adaptable and open to learning new technologies and methodologies.
Skills
As published by lever · 7 questions · 1 written answer
Basics
Which location are you applying for?, Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, Other website, Which age group do you belong to?, How do you describe your race and/or ethnicity?, What is your gender?, Which of the following best describes your sexual orientation?, Do you identify with a religion or belief system?, If yes, which of the following best describes your religion or belief?, Do you consider yourself to have a disability or long-term health condition?, Do you require workplace accommodations?, Do you have primary caregiving responsibilities (children, elderly, or other dependants)?
Short answers (1)
- What are your salary expectations (monthly / gross) in a local currency?
Pick from a list (5)
- How did you hear about this opportunity? optional
- Were you familiar with Capital.com as an employer before seeing this role? optional
- How many years of experience do you have in a similar role?
- What is your notice period?
- Do you need currently, or will you in the future require a working visa sponsorship to work the job location?
Written answers (1)
- If the role is available in few locations please confirm which country do you apply to work from?