Ajax Systems is a global technology company and the leading developer and manufacturer of Ajax security systems with smart home capabilities in Europe. It encompasses a comprehensive ecosystem featuring 180 devices mobile and desktop applications and a robust server infrastructure. Each year we experience substantial growth in both our workforce and our user base worldwide. Currently the company employs over 4100 individuals while Ajax sensors safeguard 3.5 million users across more than 187 countries.
Role Summary:
The System Analyst will play a key role in bridging data engineering and solution design ensuring consistency efficiency and scalability across data architecture and technical implementations. Positioned closer to the engineering side this role will support the Lead Data Platform Engineer Data Engineer Data Analyst and BI Lead by analyzing business needs and translating them into optimal technical solutions.
This role involves light data engineering tasks maintaining a comprehensive awareness of data architecture data flows and data platform functionality. The System Analyst will ensure solutions are designed efficiently in terms of development effort resource utilization and longterm maintainability. Over time this position may offer a growth path into a Data Engineer role or a Data Architect role.
Key Responsibilities:
1 Technical Solution Analysis & Design
Work closely with Data Engineers BI Lead and Data Analysts to understand business needs and translate them into technical solutions.
Ensure data architecture consistency aligning solutions with best practices in corporate cloud Data Platforms
Propose optimal data pipelines data models and integration patterns balancing performance cost and maintainability.
Define functional and nonfunctional requirements ensuring solutions meet business and technical objectives.
2 Data Architecture & Governance
Maintain a deep understanding of data flows dependencies and platform functionalities across the enterprise data ecosystem.
Assist in designing logical and physical data models to ensure data consistency reusability and performance.
Support the enforcement of data governance security and compliance policies across corporate cloud Data Platforms.
3 Light Data Engineering & Prototyping
Develop and optimize simple data transformations SQL queries and pipeline configurations.
Perform basic scripting and automation tasks to support engineering efforts.
Contribute to data validation profiling and performance tuning initiatives.
4 Solution Efficiency & Cost Optimization
Assess the resource requirements (compute storage processing) of proposed solutions and recommend optimizations.
Support the Lead Data Platform Engineer in identifying bottlenecks inefficiencies and improvement areas.
Ensure solutions minimize technical debt and align with longterm data architecture strategy.
5 Documentation & Collaboration
Document data flows solution designs and integration points for transparency and maintainability.
Work closely with business teams to clarify requirements while ensuring technical feasibility.
Act as an intermediary between data engineers data analysts and BI engineers ensuring alignment on data definitions transformations and reporting logic.
Key Requirements:
3 years of experience in data analysis system analysis or data engineering support roles.
Strong SQL skills with experience in data modeling and query optimization.
Familiarity with cloud data platforms (Databricks Google BigQuery Azure Synapse Snowflake etc).
Understanding of data pipeline orchestration ETL/ELT processes and integration frameworks.
Exposure to SAP Data Sphere SAP S4HANA or enterprise data platforms (even at a conceptual level) will be a plus
Basic experience in Python or Spark (preferred but not mandatory).
Strong analytical thinking with a structured approach to problemsolving and optimization.
Experience in documenting solutions using ERD (EntityRelationship Diagrams) DFD (Data Flow Diagrams) Sequence Diagrams Flowcharts & Swimlane diagrams and other relevant modeling techniques to ensure clarity and maintainability.
Ability to collaborate effectively with engineers analysts and business stakeholders acting as an intermediary between technical and business teams.
Strategic Impact & Career Growth
This role is instrumental in optimizing data solutions ensuring technical efficiency and bridging the gap between engineering and analytics. With time the System Analyst can transition into a full Data Engineer role/Data Architect role taking on more complex development and architecture responsibilities while maintaining a strong foundation in solution design and efficiency.
Ajax Systems is a Ukrainian success story a place of incredible strength and energy.
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