{"id":58910,"url":"https://alion.io/job/pixelogicmedia-data-engineer","title":"Data Engineer (Finance & Analytics)","company":{"id":5587,"name":"Pixelogic","domain":"pixelogicmedia.com","url":"https://alion.io/company/pixelogicmedia","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":84,"open_postings":16,"ghost_share":0,"stale_share":0.625,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cape Town, South Africa"],"countries":["ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":64000,"period":"year","method":"role_country_seniority_unknown","sample_n":24},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-13T00:00:00Z","employer_posted_date":"2026-08-13","last_verified_at":"2026-10-16T15:05:11Z","board_verified":true,"closed_at":null,"days_open":64,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":64},"description":"We are looking for a Finance Database Engineer to join our growing team. This role sits at the intersection of finance, technology, and engineering, and will be responsible for building and maintaining scalable data solutions that support financial reporting and operational decision-making.\nThis is a hands-on role with significant ownership, where you will work closely with finance and operations teams to improve data visibility, accuracy, and efficiency across the organization.\nPrimary Responsibilities:\nDesign, build, and maintain data pipelines and applications using Microsoft Azure and Microsoft Fabric\nDevelop and optimize SQL data models to support financial reporting and analysis\nBuild and maintain Power BI dashboards and reporting solutions for business stakeholders\nEnsure data accuracy and integrity through validation, reconciliation, and issue investigation\nOwn end-to-end data workflows, from ingestion through transformation and reporting\nCollaborate with finance and operations teams to translate business needs into scalable data solutions\nIdentify opportunities to improve data processes, automation, and system performance\nWork closely with IT teams to ensure security, governance, and compliance of financial data.\nOptimize SQL queries and improve report performance.\nFocuses on transforming raw data into reliable reporting models.\nRequirements\nBachelor’s degree in computer science, Computer Engineering, Information Systems, or a related field.\n3+ years of experience in data engineering, analytics engineering, or software engineering with financial order Information\nDP-700 Certification (Preferred)\nTechnical Requirements\nExperience with Microsoft Azure.\nHands-on experience with Microsoft Fabric (Lakehouse, Data Warehouse, Data Factory).\nExperience with Power Query, DAX, and SQL with large, complex datasets.\nFamiliarity with Git and/or Azure DevOps for version control.\nKnowledge of Python for data processing and automation (preferred).\nExperience integrating data through APIs or external data sources.\nUnderstanding of data warehousing concepts and dimensional modeling.\nAbility to work in mixed time zones with various teams including Pacific Standard (USA)\nExperience building reports and data models in Power BI\nStrong understanding of ETL/ELT pipelines and data validation processes\nExperience working with financial or operational data is a strong plus\nSoft skills requirements:\nStrong analytical and problem-solving skills.\nAbility to communicate technical concepts to non-technical stakeholders.\nExcellent stakeholder management and collaboration skills.\nStrong organizational and time management skills.\nContinuous improvement mindset with a proactive approach to automation and process 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