Capital.com
Capital.com
Capital.com ir finanšu tehnoloģiju uzņēmums, kas izstrādā pieejamu digitālo tirdzniecības platformu un lietotni lietotājiem Eiropā un citos tirgos. Tā pakalpojums apvieno tirdzniecības rīkus ar viedo ziņu plūsmu, finanšu saturu un izglītojošiem resursiem, kas palīdz lietotājiem pārliecinošāk iesaistīties finanšu tirgos. Platforma ir pieejama 23 valodās, un Capital.com darbību uzrauga tādas finanšu regulējošās iestādes kā Apvienotās Karalistes Financial Conduct Authority un Austrālijas Securities and Investments Commission.

Data Engineer – Data Engineering Team at Capital.com, Warsaw Hybrid

Build data pipelines and infrastructure for Capital.com’s global digital-asset trading platform. Support analytics with ETL, data modeling, data quality, and scalable cloud systems.

Apraksts

  • Build and maintain pipelines that ingest, process, and deliver data from multiple sources
  • Develop efficient data models for reporting, analytics, and business intelligence
  • Implement ETL workflows for transforming, aggregating, and enriching data
  • Monitor data quality, introduce validation controls, and support data governance practices
  • Optimize data storage, processing, and distribution systems for scale and performance
  • Partner with data scientists, analysts, and cross-functional teams to translate requirements into business solutions
  • Maintain clear documentation for data processes, pipelines, and systems
  • Help develop and maintain reliable, available data infrastructure
  • Keep current with data engineering practices and emerging technologies

Prasības

  • Bachelor’s or master’s degree in computer science, data science, or a related discipline
  • At least three years of experience in data engineering or a related area
  • Demonstrated experience with Redshift and Snowflake
  • Practical experience using DBT
  • Experience with Apache Airflow for workflow orchestration
  • Proficiency in Python for building pipelines and scripting
  • Experience with AWS services including S3, EC2, and EMR
  • Familiarity with Kafka and real-time data streaming
  • Familiarity with Tableau, Power BI, Looker, or comparable data visualization and reporting tools
  • Project management experience with Jira or a similar platform
  • Ability to work effectively with cross-functional teams and understand business data requirements
  • Strong problem-solving, proactive troubleshooting, and critical-thinking skills
  • Willingness to learn new technologies and working methods

Priekšrocības

  • Competitive salary
  • Work-life harmony
  • Annual leave
  • Employee referral program with rewards
  • Medical insurance
  • Pension plans
  • Benefits and perks tailored to the employee’s location
  • Up to 30 additional remote-working days per year from anywhere in the world, subject to restrictions
  • Two additional paid volunteer days each year

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