SQL Data Engineer – Initial 6-month contract
Job Purpose:
We are seeking a SQL Data Engineer with a strong analytical mindset and data architecture experience to design and build a trigger driven data platform. This role supports operations by developing scalable pipelines, real-time data processing, and triggers.
Responsibilities:
Architect and build SQL data models that enable
High-volume trigger logic (e.g., 200+ triggers per user)
Mandatory/optional risk checks
Data and trigger evaluations
Architect the data model and establish corresponding table schemas
Design and implement ETL pipelines for ingesting behavioral data, third-party feeds, and transactional logs.
Develop stored procedures, views, and validation layers to support compliance alerting and reporting.
Collaborate with BI, DevOps, and internal teams to align technical output with workflows.
Maintain data quality through null checks, anomaly detection, and transformation best practices.
Knowledge:
Experience with real-time streaming tools (Kafka, Kinesis, Debezium)
Familiarity with Airflow, Azure Data Factory, or dbt
Power BI or equivalent for reporting and dashboard integration
Essential Skills:
Advanced SQL (T-SQL) and stored procedure development
ETL tool experience – preferably Azure Data Factory or SSIS
Analytical brain with the ability to interpret and model complex data
Solid experience in data architecture design
Proficiency in ETL validation tools
Database: SQL Server
ETL & Orchestration: SSIS, Python, Azure Data Factory
Streaming (Optional): Kafka, Kinesis
Reporting: Power BI
Validation: Python scripting (nice to have), SQL integrity checks
Essential Qualities:
Desire to think out of the box and investigate new approaches/technologies to achieve the required goals.
Must have the ability to work independently and as part of a project team.
Communication with key contacts and business areas is vital.
To apply for this exciting role please send your CV and covering letter to: HR[a]annexio.com