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Mid-Level Data Engineer

CapitalWarsaw, Mazowieckie, Poland
Hybrid Full-time

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Experience Level

Mid to Senior

Qualifications

Bachelor's degree in Computer Science, Engineering, or a related field is preferred. Proficiency in programming languages such as Python, Java, or Scala, along with experience in SQL and data modeling. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and data processing frameworks (Apache Spark, Hadoop) is desirable. Strong problem-solving skills and a collaborative mindset are essential.

About the job

Join our dynamic trading platform as we extend our reach globally. Our award-winning products are recognized for their innovative technology and exceptional user experience. We are dedicated to assembling a top-tier team, and we are eager to welcome talented individuals who share our vision.

In the role of Data Engineer, you will be an essential member of our data team, responsible for the design, development, and maintenance of robust data pipelines and systems. Collaborating closely with data scientists, analysts, and other stakeholders, you will ensure that our data is reliable and readily available to support informed decision-making and analytics efforts. Your key responsibilities will involve data ingestion, transformation, and delivery, alongside optimizing our data infrastructure.

As a Mid-Level Data Engineer, you are expected to enhance and sustain our data infrastructure, guaranteeing data integrity and accessibility. You should demonstrate the ability to work both independently and collaboratively, adapting to evolving data requirements and partnering with fellow data professionals to derive meaningful insights for the organization. Keeping abreast of the latest data engineering best practices and emerging technologies will be vital for your success in this position.

About Capital

Capital is a premier trading platform making significant strides in global expansion. Our cutting-edge products have garnered prestigious industry accolades for excellence in technology and user experience.

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