{"id":3453568,"url":"https://alion.io/job/justmarkets-tech-data-engineer","title":"Data Engineer","company":{"id":4485827,"name":"JustMarkets Tech","domain":"justmarkets.tech","url":"https://alion.io/company/justmarkets-tech","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Ukraine"],"countries":["UA"],"hiring_countries":["UA"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Cassandra","optional":false},{"name":"CI/CD","optional":false},{"name":"ClickHouse","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Kubernetes","optional":false},{"name":"MySQL","optional":false},{"name":"Pandas","optional":false},{"name":"PostgreSQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RabbitMQ","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-29T11:15:05Z","employer_posted_date":null,"last_verified_at":"2026-10-29T11:15:05Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"We are seeking an experienced Data Engineer to develop and support reliable data infrastructure across our systems. In this role, you will create scalable data pipelines, maintain data accuracy and consistency, and connect external data sources. Your main goal will be to ensure smooth data movement and strengthen analytics capabilities throughout the organization. You will also help shape our data architecture, apply engineering best practices, and work closely with cross-functional teams to transform raw data into meaningful, actionable insights.\n\nRequirements\n\n3+ years of commercial experience in Data Engineering\n\nExperience gathering business requirements and communicating with stakeholders\n\nStrong knowledge of Data Warehouse (DWH) architecture and principles\n\nHands-on experience designing data warehouses and building ETL pipelines\n\nDeep practical experience with Python\n\nHands-on experience in one or more of the following areas: data processing using PySpark, Apache Spark, Pandas, or similar frameworks; data scraping; integration of third-party data sources and APIs\n\nProficiency in SQL and relational databases such as PostgreSQL and MySQL\n\nHands-on experience with column-oriented databases such ClickHouse, Snowflake, Cassandra, BigQuery (many tables with millions of records and above each)\n\nSolid understanding of software design patterns, algorithms, and data structures\n\nIntermediate English proficiency\n\nWill be a plus\n\nExperience with messaging platforms such as RabbitMQ or Kafka\n\nFamiliarity with DataOps practices and data pipeline automation\n\nFamiliarity with CI/CD pipelines and Kubernetes environments\n\nBackground in FinTech or Trading domains\n\nResponsibilities\n\nCommunicate with technical and non-technical stakeholders to gather and clarify business requirements\n\nReview and analyze data and business logic to ensure consistency, accuracy, and reliability\n\nDesign, implement, and maintain data pipelines for efficient and scalable data processing\n\nIntegrate, maintain, and support data solutions and third-party data sources\n\nResearch and evaluate third-party tools, services, and components for potential use\n\nFollow engineering best practices, including code reviews, testing, refactoring, and continuous delivery\n\nDesign, optimize, and maintain data storage solutions\n\nWhat we offer:\n\nTax expenses coverage for private entrepreneurs in Ukraine\n\nExpert support and guidance for Ukrainian private entrepreneurs\n\n20 paid vacation days per year\n\n10 paid sick leave days per year\n\nPublic holidays as per the company’s approved Public holiday list\n\nMedical insurance\n\nOpportunity to work remotely\n\nProfessional education budget\n\nLanguage learning budget\n\nWellness budget (gym membership, sports gear and related expenses)","description_format":"text","description_chars":2754,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Gym membership","Health 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