Senior Data Engineer

THE CLIENT WILL CONSIDER CANDIDATES EITHER FROM UKRAINE OR FROM EU COUNTRIES ONLY! Banking experience is highly desirable (still not a must) Description We're a global IT consulting company and a software development service provider that helps organizations operate at their best. With 30+ years of experience, +6 Global locations, and +1000 employees, TEAM combines technology expertise, valuable insights, business intelligence, and a client-centered approach to address challenges in business operations, digital transformation, risk management, compliance, business continuity, and more. This is a Data Engineer role embedded within a cross-functional product squad, where data is treated as a product, not a service. You’ll work closely with Product Managers, engineers, and business stakeholders to shape how data supports customer experiences, decision‑making, and growth. Alongside building reliable, scalable data pipelines, you’ll help define metrics, translate product needs into data models, and ensure data is accessible, trusted, and actionable. This role is ideal for someone who enjoys combining technical depth with strong collaboration and a sense of ownership over outcomes. We operate an Azure‑focused technology stack, leveraging Azure Data Factory and SQL databases to build out data warehouse. To build the data warehouse to generate business value, you will collaborate with cross‑functional squads and work closely with stakeholders to define data requirements, deliver solutions, and uphold best practices. Key Responsibilities: Partner with Product Owners and stakeholders to translate business and product requirements into well‑defined data models, pipelines, and metrics Design and develop scalable data pipelines, leveraging Azure Data Factory and other Azure‑native tools. Own the data layer within your product area, ensuring data is reliable, well‑modelled, and fit for decision‑making and product use cases Collaborate with team members to optimize data architecture, ensuring high performance and reliability. Work with stakeholders to gather and refine data requirements, delivering solutions that align with business priorities. Implement and maintain version control practices (e.g. Git), facilitating collaboration and ensuring code quality. Maintain clear and comprehensive documentation of data workflows and processes. Coordinate task progress using Jira, tracking and prioritizing workload while working with cross‑functional teams. Contribute to the development and enforcement of data engineering standards, best practices, and documentation processes. Actively participate in squad rituals (planning, refinement, retrospectives), contributing to prioritization and delivery decisions Assist in monitoring, troubleshooting, and improving data pipelines and ETL processes to support continuous improvement efforts. Stay up‑to‑date with industry trends and technologies to drive continuous improvement. Requirements Extensive experience as a Data Engineer with proven expertise in Azure data tools, particularly Azure Data Factory. Proficiency in SQL, Python, and data engineering frameworks. Solid understanding of data modelling (e.g. dimensional modelling, warehouse design, OLAP vs OLTP) Strong understanding of cloud platforms, preferably Azure, and familiarity with Azure‑based data storage and processing solutions. Knowledge of data warehousing concepts, ETL/ELT practices, and data modelling techniques. Ability to solve complex data‑related challenges and work independently on large data projects. Strong communication skills to work effectively with stakeholders and technical teams. Comfortable working within a cross‑functional team and contributing to shared outcomes, not just individual deliverables Experience in financial services or banking data is advantageous What We Offer At TEAM International, you’ll have the opportunity to work on impactful projects alongside top professionals, collaborate with international clients, and leverage the latest technologies. Work with global IT talent in a flexible engagement model Be part of challenging, high‑impact projects with modern tech stacks Full compliance with security and regulatory standards A supportive, collaborative, and people‑first environment 23 days of paid time off per year, plus paid public holidays #J-18808-Ljbffr