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Data Engineer with less than a year in SQL & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Junior Data Engineer and Data Analytics professional with experience in SQL, Python, Power BI, ETL/data workflows, and reporting within collaborative business environments. Experienced in building dashboards, supporting data pipelines, and translating business needs into analytical solutions. passionate about modern data platforms, AI-driven technologies, and business-focused analytics.
LAB University of Applied Sciences, Finland
Bachelor of Business Information Technology · Business Information Technology
January 1, 2021 – December 1, 2023
Ecole Normale Superieure, Algeria
Master · Mathematic
September 1, 2014 – July 1, 2018
Valensis Finnish data & AI consultancy
Junior Data Engineer
April 1, 2026 – Present
Turku, Finland Proper, Finland
Valensis Finnish data & AI consultancy
Data and AI Engineer F.E.C
October 1, 2025 – April 1, 2026
Turku, Finland Proper, Finland
KONE
Data Validation Trainee
March 1, 2024 – April 1, 2024
Espoo, Uusimaa, Finland
Microsoft Certified: Power BI Data Analyst Associate (PL-300)
Microsoft
June 1, 2026 – Present
Microsoft Certified: Azure Fundamentals (AZ-900)
Microsoft
June 1, 2026 – Present
Agile Data Engine for Data Engineers
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has experience in a Finnish data & AI consultancy, indicating exposure to professional, collaborative environments. Their educational background includes both a Master's in Mathematics and a Bachelor's in Business Information Technology, suggesting a blend of analytical rigor and business acumen. The certifications in Microsoft Azure and Power BI align with industry-standard tools, demonstrating a proactive approach to skill development. The candidate's experience is primarily within data engineering and analytics, which aligns well with the target role. However, the experience is relatively short, which might limit exposure to diverse project types or complex team dynamics.
Soft Skills & Operational Fit
The candidate demonstrates a quality-first mindset from their data validation trainee role and experience in collaborating with stakeholders to translate business requirements. Their professional summary highlights passion for modern data platforms and business-focused analytics, indicating a good operational fit for data-driven environments. The use of AI-assisted development tools suggests an openness to new technologies and efficiency.