Senior Data & Analytics Consultant İş İlanı

We are looking for a Senior Data & Analytics Consultant to join our growing team in Istanbul. At DQ Turkey, we help organizations turn their data into business value through modern data platforms, analytics, data integration, and AI-driven solutions. As our focus expands beyond traditional business intelligence, we are looking for an experienced professional who can contribute to projects covering data engineering, analytics, data integration, cloud platforms, and AI-enabled solutions . In this role, you will work closely with customers, business teams, and technical stakeholders to understand requirements, design appropriate architectures, and deliver end-to-end data solutions. Experience with Qlik technologies is highly valuable; however, we are particularly interested in candidates who are comfortable working across different technologies and are motivated to develop themselves in modern data and AI ecosystems.

Responsibilities Design and implement end-to-end data, analytics, and business intelligence solutions Understand customer requirements and translate them into scalable technical solutions Design data models and data pipelines for analytical use cases Develop and optimize ETL/ELT and data integration processes Work with relational databases, APIs, files, cloud services, and enterprise data sources Develop dashboards, analytical applications, and data visualization solutions Participate in data integration and change data capture (CDC) projects Contribute to modern data platform, data warehouse, data lake, and lakehouse architectures Support cloud-based data projects across platforms such as AWS, Azure, and related technologies Contribute to AI and Generative AI projects by preparing and integrating enterprise data for AI-driven use cases Work with APIs, AI services, LLM-based solutions, and automation scenarios where required Perform performance analysis, troubleshooting, and optimization across data solutions Collaborate with customers and project teams throughout analysis, design, development, testing, and implementation phases Follow emerging technologies in data engineering, analytics, cloud, and artificial intelligence and evaluate their potential use in customer projects

Required Qualifications Bachelor’s degree in Computer Engineering, Software Engineering, Information Systems, Industrial Engineering, or a related field 3+ years of professional experience in data, analytics, business intelligence, or data engineering projects Strong SQL skills Experience with relational database management systems such as Microsoft SQL Server, PostgreSQL, Oracle, or similar technologies Experience with data modeling, ETL/ELT processes, and data transformation Experience with at least one business intelligence or analytics platform Good understanding of data warehouse and analytical data modeling concepts Ability to analyze business requirements and translate them into technical solutions Strong problem-solving and analytical skills Ability to communicate effectively with both technical and business stakeholders Good command of written and spoken English

Preferred Qualifications Experience in one or more of the following areas will be considered a strong advantage: Qlik Sense, Qlik Cloud, Qlik Talend Cloud, Talend, Qlik Replicate or similar data integration technologies Microsoft Fabric, Power BI, Azure Data Services, AWS Data Services, Snowflake, Databricks or similar modern data platforms Data lake, lakehouse, and cloud data warehouse architectures Change Data Capture (CDC) and real-time / near-real-time data integration SAP data integration, including SAP S/4HANA, BW, OData, ODP, RFC, or SAP Extractors REST APIs, JSON, Python, or scripting technologies Container and cloud-native technologies Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, or enterprise AI applications Integration of enterprise data with AI platforms and services You do not need to be an expert in all of these technologies. We value strong fundamentals, curiosity, adaptability, and the ability to learn and apply new technologies.

What We Offer The opportunity to work on enterprise-scale data, analytics, cloud, and AI projects Exposure to different industries, technologies, and business problems The opportunity to work with modern data and AI platforms A collaborative environment where technical ideas and initiative are valued Continuous learning and professional development opportunities Opportunities to take ownership and grow into technical leadership and solution architecture roles DQ Turkey is committed to equality and provides equal employment opportunities to all applicants.