{"id":3402947,"url":"https://alion.io/job/altkom-software-data-data-engineering-consultant","title":"[Data] Data Engineering Consultant","company":{"id":53356,"name":"Altkom Software","domain":"altkomsoftware.com","url":"https://alion.io/company/altkom-software","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Traffit","truth_index":{"grade":"A","score":95,"open_postings":39,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":96,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":55000,"max_usd":98000,"period":"year","method":"role_country_seniority_unknown","sample_n":367},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"GDPR","optional":false},{"name":"SQL","optional":false},{"name":"Azure Data Factory","optional":true},{"name":"Azure SQL Database","optional":true},{"name":"Databricks","optional":true},{"name":"Microsoft Fabric","optional":true},{"name":"Oracle","optional":true},{"name":"Power BI","optional":true},{"name":"Python","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-10-28T12:55:30Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-04T14:55:06Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":6},"description":"For over 20 years, we have been delivering modern technology solutions for leading financial institutions in Poland and abroad, combining a business-oriented approach with high standards: we hold ISO certifications and work in compliance with DORA, GDPR and industry regulations. Additionally, we use AI not only to increase efficiency, but also to build new competencies and develop modern ways of working.\nJoin our Data Team as a professional who combines Data Engineering expertise with technical consulting skills. We are looking for someone who can quickly adapt to new environments, understand both business and technical requirements, and translate them into effective data solutions.\nThis role combines solution analysis and design with hands-on implementation. You will work on projects related to data warehouses and data platforms, data integration, reporting and BI, as well as other data-driven initiatives, particularly within financial services (banking, insurance, and leasing).\nResponsibilities\nhave practical experience in Data Engineering, Data Warehousing (DWH), Business Intelligence (BI), or Data Integration,\nhave strong knowledge of SQL and relational databases,\nunderstand ETL/ELT processes and data flows from source systems to analytical layers,\nhave a good understanding of data modelling fundamentals,\ncan analyze existing database structures and IT systems,\nare able to independently solve technical problems and identify their root causes,\nare comfortable participating in client meetings and workshops,\ncan translate business requirements into technical solutions,\nare confident explaining technical concepts to non-technical audiences,\nare eager to learn new technologies and work on a variety of projects,\ncommunicate fluently in English.\nNice to have experience working with:\nMicrosoft Fabric, Azure Data Factory, Azure SQL, SQL Server, and Power BI,\nPython,\nOracle, Snowflake, Databricks, and other DWH/Lakehouse solutions,\nCloud and hybrid environments,\nData Quality, Data Governance, and Metadata Management.\nRequirements\ndesign and implement data integration and transformation processes,\nbuild, enhance, and optimize ETL/ELT pipelines,\nwork with relational databases, files, APIs, and other data sources,\ndevelop and maintain data warehouses and data platforms,\ndesign and develop data models supporting business and analytical needs,\nprepare data for reporting, analytics, and decision-making processes,\nanalyze existing environments, systems, and data sources,\nparticipate in pre-implementation analyses and solution design activities,\ngather and analyze business and technical requirements,\ncontribute to solution architecture design and data flow modelling,\nlead or co-lead workshops with clients and IT teams,\nprepare technical documentation, diagrams, and solution concepts,\npresent and discuss proposed solutions with both technical and business stakeholders,\ncollaborate closely with analysts, architects, developers, and business representatives on data projects.\nBenefits\nStable B2B cooperation model,\nThe support of a technically strong team with over 20 years of experience in the regulated financial sector,\nCollaboration with experienced Data experts,\nA mature competency development ecosystem, including communities of practice and internal initiatives,\nA friendly, non-corporate work environment with a partnership-based culture,\nFlexible working hours and remote work options,\nConveniently located offices,\nAn employee referral bonus 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