We are looking for a skilled and motivated Data Quality & Operations Engineer to join our team. This is a very varied role which will suit an individual with a strong Data, Analytics and Tech ops background. The role is the engine of the team, responsible for bringing order to the working practices, holding engineering to account for producing highly supportable solutions and facing business stakeholders while investigating concerns and assuring execution of live Analytical process and tech to quality and time.
Key Role
Execute daily data operations tasks, including data ingestion, integration, and transformation.
Handle incident management and resolution, ensuring SLAs are met.
Identify root causes of issues and implement preventive measures.
Monitor and assess data quality and troubleshoot issues.
Essential:
Proficiency in data manipulation and processing tools.
Attention to detail and analytical skills.
Knowledge of data governance and compliance.
Understanding of cloud services and infrastructure management
Knowledge of different technologies AWS, SQL, Snowflake, PowerBI, Monte Carlo
Held a similar position in a large corporate, working with high volumes of data
Strong coding and scripting (e.g. Python, SQL)
Familiarity with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI).
Proven ability to set up effective alerting systems.
Knowledge of security best practices for cloud environments.
Desirable:
ML ops practices
Sagemaker,
Competencies:
Solid stakeholder management, with customer service focus
Logical thinker
Able to deal efficiently with crisis
Collaboration: Communicates effectively with a positive impact
DataRobot
