• Lead, mentor, and manage a team of Power BI and Power Platform developers, including task allocation and performance oversight. • Ensure all development work is effectively scoped, prioritised, monitored, and delivered on time and to a high standard. • Own the reporting and analytics function, partnering with stakeholders to gather requirements and define KPIs aligned to business objectives. • Oversee the design, development, and maintenance of Power BI reports, dashboards, and semantic data models. • Develop and optimise SQL queries, stored procedures, and database objects within Azure SQL and SQL Server environments. • Manage the administration of Azure SQL databases, including performance tuning, security, access control, and troubleshooting. • Design, develop, and support solutions within Microsoft Fabric, including Lakehouses and Notebooks. • Support and enhance ETL processes and broader data integration workflows. • Identify and drive improvements in reporting capability, data quality, and platform performance. • Establish and maintain documentation, standards, and knowledge-sharing practices across the data platform and reporting ecosystem. • Explore and promote the use of data and AI to enhance reporting, automate processes, and unlock greater organisational insight.

• Design, develop, and maintain scalable ETL and ELT pipelines. • Build and optimize data architectures, databases, and data warehouses. • Integrate data from multiple sources, APIs, and third-party platforms. • Ensure data quality, consistency, reliability, and security. • Monitor and troubleshoot data pipelines and workflows. • Collaborate with analytics, engineering, and business teams to understand data requirements. • Implement data governance and best practices for data management. • Optimize data storage, processing performance, and query efficiency. • Support reporting, business intelligence, and analytics initiatives. • Document data models, workflows, and technical processes.

• Design and implement data integration and interoperability solutions across multiple systems and platforms • Design and maintain scalable data architectures and integration frameworks • Develop and maintain ETL/ELT pipelines for data ingestion, transformation, validation, and harmonisation • Design and implement interoperability middleware and API-based integration services • Develop and maintain data exchange mechanisms between heterogeneous systems • Design and implement canonical data models and metadata harmonisation processes • Support the implementation of surveillance, monitoring, and reporting data solutions • Develop and maintain cloud-based and hybrid data integration platforms • Ensure data quality, consistency, reliability, and performance across data ecosystems • Contribute to technical architecture decisions and interoperability standards implementation • Produce technical documentation, architecture artefacts, and implementation guidelines

Role Description Are you passionate about building scalable, high-performance data platforms? We are looking for a Senior Software Developer / Data Engineer to join our team and work remotely from Europe or Ukraine. In this role, you will contribute to a cutting-edge education technology initiative, designing and implementing a unified data integration platform that will serve as the foundation for an entire ecosystem. Why join us? You will work with modern technologies, collaborate with top engineers, and make an impact on a project that improves data governance, privacy, and compliance across the education sector. Job Description - Design and evolve the platform’s canonical data model - Architect and implement scalable data ingestion and synchronization frameworks - Build reliable, replayable, and highly scalable data processing pipelines - Design entity resolution and identity management capabilities - Define and implement data governance, lineage, and provenance standards - Drive architectural decisions related to scalability, resiliency, security, and operability - Collaborate with product and engineering teams to define platform capabilities and roadmap - Design APIs and delivery mechanisms for downstream consumers - Support customer migrations from legacy systems into the new platform - Mentor engineers and contribute to technical leadership across the team - Ensure platform reliability, performance, and operational excellence Qualifications - At least 5+ years of experience as a Software Developer or Data Engineer - Strong expertise in Java - Deep understanding of data platforms, integration platforms, or distributed systems - Hands-on experience with stream processing technologies (Apache Beam, Spark, Flink, Kafka Streams) - Experience designing and operating event-driven architectures - Strong data modeling and schema design skills - Experience with cloud-native architectures (GCP preferred) - Experience designing multi-tenant SaaS platforms - Strong understanding of data governance, lineage, data quality, and observability concepts - Proven ability to drive architectural decisions and technical initiatives - Strong communication and collaboration skills - Upper-Intermediate+ English level Requirements - Experience with Scala - Experience building Master Data Management (MDM) platforms - Experience with Customer Data Platforms (CDP) - Experience with identity resolution systems - Experience with Apache Beam/Dataflow in production environments - Experience with Cloud Spanner - Experience migrating large-scale legacy systems to cloud-native architectures - Experience leading platform engineering or data platform initiatives - Background in education technology or enterprise integration domains Benefits - Strong architectural thinking and technical leadership skills - Passion for building high-performance, scalable platforms - Comfortable mentoring peers and collaborating across teams - Proactive problem-solver with attention to detail - Committed to quality and operational excellence