Key Skills

Job Description

Company Description OBSS is Turkey’s largest technology consultancy, pioneering product development and technology consulting for an AI-native future. With more than 20 years of experience and offices in Istanbul, Ankara, London we empower leading companies in banking and finance, insurance, e-commerce, retail, and the start-up ecosystem. Our team of over 1000 talented professionals thrives on collaboration, innovation, and continuous learning. We are seeking a technically strong Data Engineer to drive the integration of a new retail banking platform into our enterprise data landscape. In this high-impact role, you will bridge modern cloud ecosystems with central architecture by consuming data from cloud-based data lakes, APIs, and real-time data streams to feed our existing data warehouse and data marts. You will lead end-to-end integration efforts by analyzing complex source systems, defining precise source-to-target mapping rules, and designing scalable logical and physical data models. Beyond core SQL and ETL execution, collaboration and data trust are central to your mission: you will partner directly with cross-functional business stakeholders, application teams, and data owners to establish clear data definitions, implement robust data quality and reconciliation controls, and maintain complete technical documentation and data lineage across the organization. Main Responsibilities Consume data from cloud-based data lakes, APIs and/or data streams and load it into the enterprise data warehouse. Analyse source data and define source-to-target mappings and transformation rules. Design and maintain logical and physical data models. Integrate new data into existing data warehouse structures and data marts. Work with business stakeholders to define data meaning, ownership and usage. Define and implement data-quality checks and reconciliation controls. Support data lineage, metadata, governance and documentation. Produce clear technical and functional documentation for data flows, models and transformations. Qualifications & Technical Skills Strong SQL, data modelling, ETL/data integration and data warehouse experience Experience with data quality, lineage/governance and stakeholder requirements Banking or financial-services experience is strongly preferred Familiarity with AWS data sources/data lakes or streaming concepts (deep AWS platform-engineering expertise not required) Professional Growth & Learning As a tech company, we focus on reskilling and upskilling to support career growth. We offer a personalized Individual Growth Program (IGP), where employees set clear goals for each half of the year. These goals may include trainings, certifications, and personal development milestones, creating a structured roadmap for continuous improvement. The IGP helps employees strengthen both technical and soft skills, ensuring steady professional advancement. Company Culture and Values We celebrate diversity, inclusion, and equal opportunity, fostering a collaborative environment where innovation can flourish. Our culture emphasizes mentorship, knowledge sharing, and active participation in tech communities, workshops, and team events. This vibrant atmosphere empowers employees to contribute their best while feeling supported and valued. Benefits and Perks We provide competitive salaries, flexible and hybrid working arrangements, and a wide range of opportunities for growth through training programs, certifications, and workshops. In addition, we offer initiatives designed to build a supportive and engaging workplace where curiosity and collaboration are encouraged. These benefits ensure that employees feel motivated, empowered, and equipped to reach their full potential.

Core Responsibilities

The role involves integrating a retail banking platform into the enterprise data landscape by consuming data from cloud lakes, APIs, and streams. Responsibilities include designing data models, defining source-to-target mappings, and implementing data quality controls.

Requirements

Candidates need strong experience in SQL, ETL, and data warehousing, with a preference for banking or financial services backgrounds. Familiarity with AWS data sources and data governance practices is also required.

Benefits

• Competitive Salaries
• Flexible Working Arrangements
• Hybrid Working Arrangements
• Training Programs
• Certifications
• Workshops
• Individual Growth Program (IGP)