Описание
Senovo IT Ltd operates in staffing and recruiting.
Задачи
•Investigate end-to-end data flows across source systems, pipelines, transformations, storage layers, interfaces, and downstream consumption
•Identify upstream and downstream dependencies, ownership gaps, handoffs, and critical integration points across domains
•Work with multiple teams to understand how data flows operate in practice and build a shared view of data movement
•Analyze current flow behaviour, fragility, complexity, duplication, and related risks
•Assess the impact of changes to data flows, transformation logic, interfaces, schemas, and source-system behaviour
•Evaluate impacts on downstream reports, data products, operational processes, reconciliation, and business decisions
•Provide structured change-impact assessments covering dependencies, break risks, and mitigation options
•Develop understanding of business domains, data entities, interfaces, and data meaning across systems
•Validate actual flow behaviour against documentation and communicate findings to align stakeholders
•Investigate flows across legacy and modern platforms, including operational systems, EDW (SQL), Synapse, Databricks, and reporting layers
•Analyze transitional architectures, fragmentation, redundant transformations, and weak control points
•Document data lineage, system dependencies, and change scenarios for technical and business teams
•Translate complex technical flow behaviour into clear risk, impact, and decision-support material
•Identify where controls, validations, or additional analysis are needed before changes are approved
•Partner with engineers, architects, product teams, and business stakeholders to build shared understanding of data movement and impact
•Facilitate cross-team discussions to uncover dependencies, clarify ownership, and align on critical flows and change effects
•Support change planning by identifying dependencies, coordination, testing considerations, and sequencing needs
•Drive consistency in how flows, interfaces, and impacts are analyzed and documented across teams
•Establish structured approaches for analyzing lineage, dependencies, impact, and operational effects
•Improve flow documentation, change-readiness assessments, and impact analysis across teams
•Promote systematic understanding of how data changes affect business operations, controls, and downstream trust
•Work directly with teams, documentation, systems, and subject matter experts to investigate real flow behaviour and resolve ambiguity
Требования
•Strong experience analyzing complex data flows, system interactions, lineage, and dependencies across multiple platforms and domains
•Documented experience working with EDW (SQL), Synapse, Databricks, and reporting layers
•Ability to understand data movement from source to consumption, including transformations, interfaces, controls, and handoffs
•Proven experience performing impact analysis for changes to data structures, mappings, logic, integrations, or operating processes
•Strong understanding of hybrid data landscapes and legacy and modern platform coexistence during transition
•Excellent communication and stakeholder-management skills across multiple teams
•Experience working with technical and business stakeholders to clarify definitions, validate behaviour, and resolve ambiguity
•Ability to structure and communicate complex dependencies, risks, and change consequences clearly
•Strong analytical thinking, attention to detail, and ability to connect local changes to broader system and business impact
•Curiosity and persistence in investigating flows, dependencies, and issues
•Comfort working with ambiguity and separating assumptions from verified behaviour
•Ability to build trust across teams, ask effective questions, and explain technical flow behaviour and impact clearly
•System-minded approach to cause, effect, risk, and trade-offs
•Focus on improving decision quality, not only documenting complexity
Условия
•Contract employment
•Remote work across the European Union
