{"id":1548572,"url":"https://alion.io/job/capital-com-data-engineer-data-engineering-team","title":"Data Engineer (Data Engineering Team)","company":{"id":949,"name":"Capital.com","domain":"capital.com","url":"https://alion.io/company/capital","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":85,"open_postings":17,"ghost_share":0,"stale_share":0.412,"repost_share":0,"time_to_fill_p50_days":99,"computed_at":"2026-10-05T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":50000,"max_usd":89000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Jira","optional":false},{"name":"Looker","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-30T13:24:03Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-06T01:01:41Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"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.\nAs 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.\nThe 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.\nResponsibilities:\nDesign, develop, and maintain data pipelines that ingest process, and deliver data from various sources, ensuring data quality and reliability.\nData Modeling: Create and maintain data models to support reporting, analytics, and business intelligence needs, optimizing data structures for performance and efficiency.\nImplement ETL processes to transform raw data into meaningful insights, handling data transformation, aggregation, and enrichment.\nMonitor and address data quality issues, implement data validation processes, and establish data governance practices.\nManage and optimize data storage, processing, and distribution systems, ensuring scalability and performance.\nCollaborate with data scientists, analysts, and cross-functional teams to understand data requirements and deliver solutions that meet business needs.\nDocument data engineering processes, pipelines, and systems to maintain clear and accessible knowledge for team members.\nRequirements:\nBachelor’s or Master’s degree in Computer Science, Data Science, or a related field.\nMinimum of 3 years of experience in data engineering or a related field.\nProven experience with Redshift and Snowflake.\nExperience with DBT.\nExperience with Apache Airflow for workflow orchestration.\nProficiency in Python for data pipeline development and scripting.\nExperience with AWS cloud services, including S3, EC2, and EMR.\nFamiliarity with Kafka for real-time data streaming.\nFamiliarity with data visualization and reporting tools (e.g. Tableau, Power BI or Looker).\nProject management skills using Jira or similar tools.\nAbility to collaborate effectively with cross-functional teams and understand business data needs.\nStrong problem-solving skills, a proactive approach to troubleshooting data issues, and critical thinking abilities.\nAdaptable and open to learning new 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